Modeling the binding of fulvic acid by goethite: The speciation of adsorbed FA molecules

Size: px
Start display at page:

Download "Modeling the binding of fulvic acid by goethite: The speciation of adsorbed FA molecules"

Transcription

1 Pergamon PII S (02) Geochmca et Cosmochmca Acta, Vol. 67, No. 8, pp , 2003 Copyrght 2003 Elsever Scence Ltd Prnted n the USA. All rghts reserved /03 $ Modelng the bndng of fulvc acd by goethte: The specaton of adsorbed FA molecules JEROEN D. FILIUS, 1 JOHANNES C. L. MEEUSSEN, 2 DAVID G. LUMSDON, 2 TJISSE HIEMSTRA, 1 and WILLEM H. VAN RIEMSDIJK 1, * 1 Department of Envronmental Scences, Sub-department Sol Qualty, Wagenngen Unversty, P.O.B. 8005, 6700 EC Wagenngen, The Netherlands 2 Macaulay Land Use Research Insttute, Cragebuckler Aberdeen AB15 8QH, Scotland, UK (Receved June 1, 2001; accepted n revsed form May 6, 2002) Abstract Under natural condtons, the adsorpton of ons at the sold water nterface may be strongly nfluenced by the adsorpton of organc matter. In ths paper, we descrbe the adsorpton of fulvc acd (FA) by metal(hydr)oxde surfaces wth a heterogeneous surface complexaton model, the lgand and charge dstrbuton (LCD) model. The model s a self-consstent combnaton of the nondeal compettve adsorpton (NICA) equaton and the CD-MUSIC model. The LCD model can descrbe smultaneously the concentraton, ph, and salt dependency of the adsorpton wth a mnmum of only three adjustable parameters. Furthermore, the model predcts the coadsorpton of protons accurately for an extended range of condtons. Surface specaton calculatons show that almost all hydroxyl groups of the adsorbed FA molecules are nvolved n outer sphere complexaton reactons. The carboxylc groups of the adsorbed FA molecule form nner and outer sphere complexes. Furthermore, part of the carboxylate groups reman noncoordnated and deprotonated. Copyrght 2003 Elsever Scence Ltd 1. INTRODUCTION Natural organc matter (NOM) and metal(hydr)oxde surfaces can both be regarded as geo-collods. Consderable attenton has been and s stll gven to the understandng of the (surface) chemstry of these geo-collods per se. NOM and metal(hydr)oxdes are, for nstance, very mportant for the chemcal specaton and transport of nutrents and pollutants n the sol and sedment. In natural systems, both types of geo-collods are smultaneously present and they wll nteract. The mutual nteracton may nfluence ther role as reactve surfaces n the natural envronment. The nteracton between organc matter and oxde surfaces can sgnfcantly alter the characterstcs of both the organc matter and the oxde surface. Davs (1982) stated that a realstc representaton of the surfaces of natural partculate matter mght requre a heterogeneous multste model. To date, only a few attempts have been made to nclude NOM adsorpton n surface specaton calculatons (Vermeer et al., 1998; Karltun, 1998; Evanko and Dzombak, 1999; Flus et al., 2000). For such an mportant challenge, a fundamental understandng of the adsorpton behavor of NOM by oxde surfaces s requred to make progress. Well-defned small organc acds have often been used as model compounds to study the adsorpton of larger ll-defned natural organc acds. (Balstrer and Murray, 1986; Al and Dzombak, 1996; Flus et al., 1997, 2001; Boly et al., 2000). The descrpton of the adsorpton of these well-defned organc molecules has shown that three factors are essental: 1) the stochometry of the reacton, 2) the chemcal affnty of the organc molecules for the oxde surface, and 3) electrostatc nteractons between the charged organc molecules and the oxde surface. However, the descrpton of the adsorpton of large, ll-defned organc molecules (humc and fulvc acd; HA * Author to whom correspondence should be addressed (Wllem.VanRemsdjk@bodsch.benp.wau.nl) and FA) s more complex for several reasons: (1) HA and FA are mxtures of molecules wth dfferent sze, number of reactve groups, etc.; (2) FA and especally HA have many more reactve groups per molecule that can form bonds wth the oxde surface; (3) the organc molecules and the metal(hydr)oxde surface have both a varable charge; and (4) HA and FA have a relatvely large sze. In the studes of Karltun (1998), Evanko and Dzombak (1999), and Flus et al. (2000), the adsorpton of FA by goethte s descrbed assumng a dscrete number of surface speces. We refer to ths type of modelng as dscrete modelng. In these studes, as well as n the present approach, FA s treated as a mxture of the same molecules wth averaged propertes. Fgure 1 shows three dfferent schematc confguratons of a bound FA molecule. The reactve groups (carboxylate and hydroxylate) of the FA molecule can react wth mneral surface groups, may bnd protons, or reman deprotonated. The confguraton of the FA molecule bound by the oxde surface wll vary wdely wth ph, salt level, surface loadng, and other factors. In the dscrete modelng, the varyng confguraton s ntroduced by defnng dfferent surface speces. Flus et al. (2000) calculated that wth such an approach a FA molecule wth eght reactve groups can form potentally easly over a thousand dfferent surface speces. To reduce the number of adjustable parameters, the number of surface complexes used however has been mnmzed. Flus et al. (2000) only used four dfferent surface speces to descrbe the data. The lmted number of surface speces, s physcally and chemcally less realstc. For larger molecules, e.g., HA, the number of reactve groups s even larger than for FA and the number of possble surface speces s almost nfnte. Therefore, the dscrete modelng approach s n our opnon not sutable for modelng the bndng of molecules larger and more complex than FA molecules. Recently, we developed the lgand and charge dstrbuton (LCD) model (Flus et al., 2001) and descrbed the adsorpton

2 1464 J. D. Flus et al. 2. MODELING THE BINDING OF FA In ths study, the overall adsorpton of FA by goethte s represented by the followng overall reacton: a b FeOH 1/ 2 a b c H FA z K overall, 0, 1 1/ N Fe a FeOH 2 b FAH 2 a bc z c ah 2 O (1) Fg. 1. A schematc representaton of three possble confguratons of an adsorbed FA molecule. of multple carboxylc acds by goethte. Usng the CD (charge dstrbuted complexaton) model (Hemstra and Van Remsdjk, 1996) and the consstent nondeal compettve adsorpton (NICA) equaton (Koopal et al., 1994; Knnburgh et al., 1999), the LCD model calculates the dstrbuton of organc molecules over the mneral and the soluton phase and the specaton (or confguraton) of the adsorbed and dssolved molecules smultaneously and n a self-consstent way. Electrostatc effects on the specaton of the goethte and the adsorbed FA are taken nto account wth a unted electrostatc model. The am of ths study s to extend the model approach presented by Flus et al. (2001) to descrbe the adsorpton of FA by goethte for a wde range of condtons (ph, onc strength, and surface loadng). As FA contans both carboxylc and hydroxylc groups, the orgnal LCD model s extended takng the full specaton of the hydroxylate groups of the adsorbed FA molecules nto account. The model s calbrated for the adsorpton data of Strchen Fulvc Acd (SFA) by goethte. Furthermore, the model s tested predctng the coadsorpton of protons as a functon of the SFA adsorpton by goethte at constant ph for condtons where almost 100% of the SFA molecules are adsorbed. n whch FeOH represent the sngly and trply coordnated surface groups of goethte, a s the number of surface groups formng nner sphere complexes, b the number of surface groups that wll form outer sphere complexes wth carboxylate (RCOO ) and hydroxyl (RCOH) groups, and c the number of protons formng noncoordnated RCOOH and RCOH groups. z represents the charge of the fully deprotonated FA molecule. The macroscopc adsorpton reacton (Eqn. 1) s characterzed by the stochometry coeffcents a, b, andc, the overall affnty constant (K overall ), and the overall electrostatc nteractons ( 0, 1 ) between the oxde surface and the organc molecule. The calculaton of these parameters and the detals of ths equaton wll be dscussed later (see Table 1 and secton 2.2.2). It should be mentoned that both sngly and trply coordnated goethte surface groups are supposed to nteract wth the reactve groups of the FA molecule. However, n the text the reactons are only wrtten for sngly coordnated stes for reasons of smplcty. The adsorpton of FA by goethte s calculated wth the LCD model (Flus et al., 2001). Fgure 2 shows the basc structure of the LCD approach. The startng pont for the teratve modelng s the calculaton of the macroscopc dstrbuton of FA over the soluton (FA dss ) and the nterface (FA ads ). Ths dstrbuton s calculated wth the CD-MUSIC models (I n Fg. 2). The CD-MUSIC model s fed by parameters ganed from two submodels n whch the lgand dstrbuton at the surface s calculated (LD model) and the soluton specaton of FA molecules s found (ND model). These two models are n turn based on the results of the CD model. The three models form a self-consstent teratve calculaton scheme. A more detaled descrpton of the model wll be gven below. We wll start at the mcroscopc level before descrbng the FA adsorpton at the macroscopc level Interacton of the Organc Groups wth Protons and Surface Stes In Soluton Table 1 shows the adsorpton and protonaton reactons of the carboxylc and hydroxylc groups of dssolved and adsorbed FA molecules. Reactons 1 and 2 of the table represent the protonaton of the carboxylc and hydroxylc groups n soluton respectvely. Reactons 3 through 6 of Table 1 represent the adsorpton and protonaton of a soluton-orented carboxyl or hydroxyl group of the bound FA molecule. The soluton-orented group does not have a drect nteracton wth the goethte surface groups, but s bound by the surface due to the complex formaton of surface stes wth other functonal groups of the same adsorbed organc molecule. Ths structural feature s ndcated by # n the reactons.

3 Modelng the adsorpton of fulvc acd by goethte 1465 Table 1. Reacton equatons for the reactons possble to occur on the surface wth the correspondng affnty constants, change of charge ( z )n plane, and stochometry coeffcents. Reactons logk z 0 z d St. coeff. 1 RCOO H N RCOOH 0 logk H,1 2 RCO H N RCOH 0 logk H,2 3 # RCOO H N # RCOOH 0 logk H,1 0 0 c 1 4 # RCOO N # RCOO z 1 a 1 b 1 c 1 5 # RCO H N # RCOH 0 logk H,2 0 0 c 2 6 # RCO N # RCO z 2 a 2 b 2 c 2 7 FeOH 0.5- H RCOO N Fe OOCR] 0.5- logk n logk H a 8 FeOH 0.5- H RCOO N FeOH 2... OOCR] 0.5- logk out,1 logk H b 1,1 9 FeOH 0.5- H RCO N FeOH 2... OCR] 0.5- logk out,2 logk H b 2,1 10 FeOH 0.5- H RCO N FeOH... HOCR] 0.5- logk out, b 2,2 logk H,2 Note R represents the rest of the molecule. # ndcates the adsorbed FA molecule of whch the soluton-orentated reactve groups can be protonated (reactons 3 and 5) or reman deprotonated (reactons 4 and 6). Note that the charge of the bound RCOO and of the RCOOH 0 s located n the d-plane. In the modelng, outer sphere complexaton reactons are assumed for both sngly and trply coordnated groups. Here the reactons (reactons 8 10) are only wrtten for sngly coordnated groups. The charge dstrbuton and affnty constant are assumed to be the same for outer sphere complexaton wth sngly and trply coordnated groups. The stochometry coeffcents n the table are related to the stochometry coeffcents of Eqn. 1 by b b 1 b2; b2 b 2,1 b 2,2 ; c c 1 c 2 ;andz z 1 z At the Interface Carboxylc Groups Based on spectroscopc evdence (Parftt et al., 1977a, b; Gu et al., 1994; Kaser et al., 1997; Boly et al., 2000), we assume n ths study that the carboxylc groups of FA can form nner sphere complexes wth the sngly coordnated surface groups and outer sphere complexes wth sngly and trply coordnated surface groups. Inner sphere complexaton (reacton 7 of Table 1) s characterzed by the exchange of a surface water group of a sngly coordnated surface group for one oxygen atom of the carboxylate group. We assume that the charge of the carboxylate groups ( 1 valence unt; vu) s equally dstrbuted over both oxygens (.e., each oxygen 0.5 vu). In case of the exchange reacton, the charge of the ron n the sold ( 0.5 vu) s fully neutralzed by the charge of the carboxylate oxygen ( 0.5 vu). Inner sphere coordnaton therefore results n an uncharged bondng oxygen. The charge of the second carboxylate oxygen s located n the d-plane. In case of H bond formaton, the 1 vu of the organc group s located n the d-plane (reacton 8 of Table 1). The proton nvolved attrbutes 0.8 vu of ts charge to the surface plane. The remanng 0.2 vu s located n the d-plane together wth the 1 vu of the carboxylate group. In the rest of the text, H bondng s descrbed only for sngly coordnated surface groups. In the modelng, the H bondng wth trply coordnated groups s taken nto account n the same manner as the H bondng wth sngly coordnated groups, wth the same charge dstrbuton and affnty constant Hydroxylc Groups The hydroxylc groups, and other types of OH groups of FA wth a hgh proton affnty are supposed to protonate and deprotonate and to form outer sphere complexes wth sngly and trply coordnated surface groups. The outer sphere complexes are formed due to H bondng (reactons 9 and 10 n Table 1). In case of H bondng, both the protonated reactve surface group and the hydroxylc group of the FA can, n prncple, act as the proton donor. Fgure 3 shows both optons and ndcates the dfferent charge dstrbuton of both types of outer sphere complexes over the nterface. When the goethte surface ste s the proton donor, 0.8 vu of the charge of the proton s located n the surface plane. The remanng 0.2 vu s located n the d-plane together wth the 1 vu of the carboxylate or hydroxylate group (Fg. 3a; reacton 9 of Table 1). In case the reactve organc group s the proton donor, the 0.2 vu of the proton s located n the 0-plane. The remanng 0.8 vu s located n the d-plane together wth the 1 vu of the carboxylate or hydroxylate group (Fg. 3b; reacton 10 of Table 1). To determne whch group s the actual proton donor, the ntrnsc proton affnty of both groups as well as the electrostatc potental at the locaton of the reactve group should be taken nto account. The overall affnty for the formaton of the H bond n whch the surface ste s the donor s gven by a combnaton of the protonaton of the surface group (K H ), the formaton of the H bond (K out,2 ), and the electrostatc nteractons (e 0.8F 0/RT.e 0.8F 1/RT ). The overall affnty for the formaton of the H-bond n whch the hydroxylc group s the donor s a combnaton of the protonaton of the reactve FA group (K H,2 ), the formaton of the H bond (K out,2 ), and the electrostatc nteractons (e 0.2F 0/RT.e 0.2F 1/RT ). The surface ste wll therefore domnate as the H-bond donor n case K H.e 0.8F 0/RT.e 0.8F 1/RT K H,2.e 0.2F 0/RT.e 0.2 1/RT (reacton 9 of Table 1; Fg. 3a). The hydroxylc group wll domnate as the H-bond donor n case K H,2.e 0.2F 0/RT.e 0.2F 1/RT K H.e 0.8 0/RT.e 0.8F 1/RT (reacton10oftable 1; Fg. 3b). When the reactve surface group and the hydroxylate group have smlar proton affntes, the relatve presence of both types of H bond donors depends on the electrostatc potental n the 0- and d-plane. Note that n prncple the carboxylc groups can also form both types of H bonds. However, because logk H,1 logk H, the overall affnty for the formaton of the H bond n whch the carboxylate oxygen s the donor s much smaller than n case

4 1466 J. D. Flus et al. Fg. 2. Calculaton scheme for the new model approach. (I) CD-MUSIC model calculates the dstrbuton of the organc molecules over the sold and soluton phase. (II) The LD model calculates the mean adsorpton mode of the adsorbed organc molecules, whch determnes the nput parameters for the CD-MUSIC model. (III) Converts the dssolved amount of FA nto a reference speces FA z, whch s used as nput for the CD-MUSIC model. The affnty constant (logk overall ), charge dstrbuton ( z 0, z 1 ), stochometry coeffcents (a, b, andc) of the reacton, and the actvty of the FA n soluton (FA z ) are the nput parameters for the CD&MUSIC model. The values of logk overall, z 0, z d,anda, b, andc are also output of the specaton calculaton of the adsorbed FA molecule. the surface oxygen s the donor. Model calculatons show that the carboxylc FA group wll not act as the H bond donor for ph Calculaton of the FA Molecule Specaton: The Consstent NICA Model In general, organc materal contans functonal groups wth a wde range of affntes for protons, competng metal ons, and, n ths case, reactve oxde surface groups. The NICA model s a ste-bndng model that takes heterogenety and competton nto account explctly. For the calculaton of the specaton of the adsorbed FA and the FA n soluton (II and III n Fg. 2) the NICA model s used. The bmodal NICA equaton s gven by: Q,t Q max1 n,1 n H,1 Q max2 n,2 n H,2 K,1c,D n,1 K,1 c,d n,1 K,2c,D n,2 K,2 c,d n,2 n,1 p 1 K,1 c,d 1 n,1 p 1 K,1 c,d n,2 p 2 K,2 c,d 1 n,2 K,2 c,d p 2 (2) where Q,t s the total amount of component bound to the humc substance, Q max s the total ste densty (mol/kg), subscrpt 1 and 2 refer to the frst and second type of stes n the affnty dstrbuton, K s a medan affnty constant, and c,d s

5 Modelng the adsorpton of fulvc acd by goethte 1467 (1999) ntroduced an emprcal relaton between v D and the onc strength: logv D k. 1 logi) 1 (5) Although ths relaton shows a varaton n v D wth onc strength whch s much larger than can be expected based on structural models of fulvc acd (Langford et al., 1983; Avena et al., 1999; Lead et al., 2000), the Donnan model can mmc the salt effects on the chargng very well. For more detal refer to Knnburgh et al. (1999). Fg. 3. Schematc representaton of the formaton of an H-bond between a hydroxylc group of a FA molecule and a sngly coordnated reactve surface group of the goethte surface. (a) The reactve surface group acts as the H-bond donor; (b) the hydroxylc group acts as the H-bond donor. the concentraton of n the Donnan phase. The value of p (0 p 1) accounts for the ntrnsc chemcal heterogenety of the sorbent, whch s the same for all components. The parameter n accounts for the on-specfc heterogenety or nondealty of component that s not accounted for by ntrnsc heterogenety and/or the electrostatc model (n 1 nondeal, n 1 deal) Specaton of the Dssolved FA Molecules For the condtons n soluton as dscussed n ths paper, the NICA equaton reduces to a smple LF equaton because the proton s the only nteractng component: K H,1 H D m1 K Q H Q max1 1 K H,1 H D Q H,2 H D m2 m1 max2 (3) 1 K H,2 H D m2 n whch m (m n H p) s a heterogenety parameter that reflects the combned effect of the ntrnsc heterogenety (p) and the on-specfc heterogenety (n H ). A smple Donnan model can account for the nonspecfc bndng (Benedett et al., 1996; Knnburgh et al., 1999). The Donnan approach assumes that at each charge the overall electroneutralty s entrely preserved by the accumulaton or depleton of salt ons n the gel phase. q/v D z j c j e zjf D/RT 1 0 (4) where q s the charge of the fulvc acd n mol kg 1, v D s the specfc volume of the gel phase n L/kg, and c j s the concentraton of on j n the external soluton n mol/l. e z jf D /RT s the Boltzmann factor n whch subscrpt D ndcates the potental n the Donnan phase. For a gven charge densty and salt level, v D s the only unknown parameter to solve Eqn. 4 for D. Knnburgh et al Specaton of the Adsorbed FA Molecules So far, the NICA model has been used successfully to calculate the compettve bndng between protons and metal ons for HA and FA (Chrstensen et al., 1998; Pnhero et al., 1999; Knnburgh et al., 1999; Berbel et al., 2001). Instead of metal ons, now surface stes compete for the bndng stes of the FA. The NICA equaton s combned wth the basc Stern (BS) model, whch accounts for the electrostatcs near the surface (see CD-MUSIC model): Q,t Q max1 n,1 n H,1 Q max2 n,2 n H,2 K,1c X 0,X d, n,1 K,1 c X 0, X d, n,1 K,2c X 0,X d, n,1 K,2 c X 0, X d, n n,1 p 1 K,1 c X 0, X d, 1 n,1 p 1 K,1 c X 0, X d, n,2 p 2 K,2 c X 0, X d, 1 n,2 p 2 K,2 c X 0, X d, n whch X 0, and X d, ndcate the Boltzmann factors (e z 0F 0 /RT,e z df 1 /RT ) for complex type n the 0- and d-plane respectvely. Note that n ths equaton the concentraton of surface stes (c ) s expressed n mol/l The Dstrbuton of FA Over the Mneral Surface and Soluton In ths study we assume that the reacton at the macroscopc level (Eqn. 1) s the result of all nteractons at the mcroscopc level (Table 1). For the calculaton of the dstrbuton of FA molecules over the mneral surface and soluton (I n Fg. 2) wth the CD-MUSIC model (see Hemstra et al., 1989a, b and Hemstra and Van Remsdjk, 1996 for detals), the nput parameters (reference state of the dssolved FA molecule, stochometry coeffcents, overall affnty constant, and overall charge dstrbuton) are obtaned from the mcroscopc specaton calculaton of the FA molecules. Ths wll be descrbed n more detal n the next sectons The Reference State of the Dssolved FA In ths study we take the actvty of the fully deprotonated speces as the reference state of the FA molecules n soluton. (6)

6 1468 J. D. Flus et al. Table 2. Basc physcal chemcal parameters used for the descrpton of the chargng behavor of FA wth the NICA-Donnan model. The actvty of the fully deprotonated FA s not easy to derve from the NICA equaton. For smplcty we assume that the actvty of the fully deprotonated FA molecules s related to the total FA n soluton accordng to: FA z FA z *FA dss (7) n whch FA dss s the total concentraton of FA n soluton and FA z s the fracton of the deprotonated FA whch can be defned as the product of the deprotonated fractons of the carboxylc fd carb and hydroxylc fd hydr groups: fd fd FA z carb * phen (8) The ndvdual fractons can be found from applcaton of Eqn. fd H 3 knowng that carb carb 1 for the carboxylc groups, n whch H carb s the fracton of the carboxylc groups of the FA molecule that s protonated. Ths yelds: 1 fd carb (9) 1 K H,1 H D m1 fd for the carboxylc groups. phen can be calculated wth Eqn. 9 usng the constants of the second dstrbuton (logk H,2 and m 2 of Table 2). The actvty of the fully deprotonated FA molecules can now be calculated accordng to: 1 FA z 1 K H,1 H D * 1 m1 1 K H,2 H D *FA m2 dss Stochometry Coeffcents Qmax (mol/kg FA) logk H, m Carb. ( 1 ) Phen. ( 2 ) k 0.57 M m (g/mol) a 683 a Van Zomeren and Comans (2002). (10) In the LD model (III n Fg. 2), the mean specaton of the adsorbed FA molecule s calculated. In Eqn. 1, the stochometry coeffcent for nner sphere complexaton (see reacton 7 of Table 1) s gven by a. The stochometry coeffcent b n Eqn. 1 conssts of the summaton of the stochometry coeffcents of the dfferent types of outer sphere complexes as gven by reactons 9 and 10 of Table 1, e.g.: b b 1 b 2 b 1 b 1,1 b 1,2 (11a) (11b) b 2 b 2,1 b 2,2 (11c) n whch thefrst subscrpt refers to ether carboxylc groups (1) or hydroxylc groups (2). The second subscrpt dscerns the two types of outer sphere complexes for hydroxylc groups. b 2,1 refers to the stuaton where the proton s closest to the reactve ste of the goethte surface, whereas b 2,2 refers to the stuaton where the proton s closest to the hydroxylc group. Fnally, n Eqn. 1 c represents the stochometry coeffcent of the proton complexes formed: c c 1 c 2 (12) n whch the ndex refers to carboxylc (1) or hydroxylc groups (2). The mcroscopc stochometry coeffcents (a, b,j, c ;expressed n mol complex/mol FA) are related to the total amount of the dfferent types of surface complexes formed (Q s,t, Q os,j,t, Q H,t) for nner sphere, outer sphere, and proton complexes respectvely; e.g., the quantty of organc groups that forms a complex of type expressed n mol complex/kg FA) and calculated wth the NICA equaton (Eqn. 6) by: a M FA. Q s,t b, j M FA. Q os, j,t c M FA. Q H,t (13a) (13b) (13c) n whch M FA s the averaged molecular mass of the FA molecules (kg/mol). The subscrpts and j are the same as used for the stochometry coeffcents b and c n the correspondng reactons n Table 1. Van Zomeren and Comans (2002) determned the M FA for SFA to be kg/mol (see Table 2). Note that the stochometry coeffcents are not constants, but depend on the ph, onc strength, surface coverage, and so forth The Overall Reacton Constant The overall affnty s composed of the constants for the formaton of the dfferent complexes weghed by ther relatve contrbuton: logk overall a. logk n b 1. logk out,1 b 2. logk out,2 a b 1 b 2,1. logk H c 1. logk H1 b 2,2 c 2. logk H2 (14) The dfferent reacton stochometry coeffcents (a, b, c) are defned n the prevous secton and n Table 1. The frst three terms of the rght-hand sde of Eqn. 14 refer to the bonds formed between the FA groups and the surface, n whch logk n s the medan affnty constant for the formaton of nner sphere complexes and logk out,1 and logk out,2 are the medan affnty constants for the formaton of outer sphere complexes formed by carboxylc and hydroxylc groups respectvely. The last three terms refer to the protonaton reacton of the metal oxde surface groups (logk H ), the free carboxylate groups of adsorbed FA (logk H1 ), and the free hydroxylate groups of adsorbed FA (logk H2 ) respectvely. Note that we have assumed that the affnty constants of the dfferent outer sphere complexes are assumed to be the same for the reacton wth sngly and trply coordnated groups (logk out,2 for reactons 9 and 10 of Table 1).

7 Modelng the adsorpton of fulvc acd by goethte The Overall Charge Dstrbuton The charge dstrbuton can be calculated f we assume that the charge of the fully deprotonated adsorbed FA molecule s located n the d-plane except the charge of the FA groups that s located n the 0-plane due to the formaton of nner (a), outer sphere (b) complexes (see charge dstrbutons for reactons 7 to 10 n Table 1). The change n charge due to the protonaton of the noncoordnated groups s assumed to take place n the d-plane. The charge dstrbuton over the 0- and d-plane s therefore gven by: z 0,FA a 0.8b 1 b 2,1 0.2 b 2,2 z d,fa z a 0.8b 1 b 2,1 0.2 b 2,2 c 3.1. Goethte 3. MATERIALS AND METHODS (15a) (15b) The goethte s prepared accordng to the procedure descrbed n detal by Hemstra et al. (1989b). The BET-N 2 surface area of the sample was 94 m 2 g Fulvc Acd Extracton Sol fulvc acd was extracted from a sol sample usng methods based on those recommended by the Internatonal Humc Substances Socety (Aken et al., 1970; Swft, 1996). The sol materal used was from a Bs horzon of a peaty podzol (Strchen assocaton). The extracton s descrbed n detal by Flus et al. (2000) 3.3. Data Analyses The onc strength s calculated for each data pont explctly takng nto account both the background electrolyte ons and free H and OH. From the calculated onc strength (I), the actvty coeffcents (f) were determned usng an adapted Daves equaton: logf 0.51 * z 2 * I 1 I 0.2 * I (16) Blank correcton for each data pont was carred out by calculatng the amount of ttrant requred to ncrease the ph of an equvalent volume of background electrolyte soluton. Ths was subtracted from the volume of ttrant used for the sample Adsorpton Experments The FA adsorpton by goethte was measured n background electrolytes of 0.01 mol/l and 0.1 mol/l NaNO 3, usng a batch equlbraton procedure. The data are obtaned from Flus et al. (2000) Proton-Ion Ttratons at Constant ph Samples of 60 ml of a goethte suspenson were ttrated to ph 4, 5.5, or 7 and left overnght whle purgng wth most clean N 2. The samples have an electrolyte concentraton of 0.01 mol/l or 0.1 mol/l NaNO 3. The goethte soluton was ttrated wth a 5 g/l FA soluton havng the same ph and onc strength as the goethte soluton. Both goethte suspenson and FA soluton were kept under N 2 durng the entre experment. After each FA addton, the ph was corrected to the ntal ph wth acd or base. A reacton tme of at least 20 mn and a maxmum drft crteron of ph unt per mnute were used between each addton of FA to reach equlbrum. The total amount of added FA was suffcently small compared to the total surface area of the goethte to have more than 99% of the FA bound. The acd/base balance can be calculated from the amount of added acd and base because the ph was kept constant and vrtually no FA remans n soluton Model Calculatons The model calculatons were carred out wth the computer program ORCHESTRA (Objects Representng CHEmcal Specaton and TRAnsport; Meeussen et al., 2001) whch was developed specfcally to facltate the mplementaton of advanced adsorpton models. The most contrastng dfference wth any of the standard specaton algorthms s that n OR- CHESTRA the model type defntons are completely separated from the calculaton kernel, and even from the source code. Model types are defned n the form of objects n a separated database. Ths allows users to freely change or add new model defntons wthout changng the source code. The object-orented structure of the model type defntons makes t possble to desgn a small set of fundamental object classes that can be used as buldng blocks for specfc model mplementatons. Ths greatly smplfes the mplementaton of new chemcal models and the combnaton of exstng models as done n ths study. The ORCHESTRA model and the nput fle for the LCD model can be obtaned from 4. RESULTS AND DISCUSSION 4.1. Basc Chargng Behavor and FA Adsorpton The LCD model combnes the chargng characterstcs of the oxde surface and the adsorbed FA. The basc chargng behavor of the goethte surface and the FA molecules can be descrbed usng the ndvdual fundamental models (CD-MUSIC for the metal oxde and NICA for the natural organc acd). The basc chargng behavor of both components s determned n separate experments. The chargng behavor of goethte s very smlar to the reported chargng behavor of goethte by Venema et al. (1996) and Retra et al. (2000). Table 3 gves the parameters used to descrbe ths chargng behavor wth the CD-MUSIC model. Fgure 4 shows the chargng behavor of SFA n soluton for four dfferent electrolyte concentratons. The expermental setup s gven n detal by Flus et al. (2000). The lnes n Fg. 4 ndcate the model calculatons wth the NICA-Donnan model. The fttng strategy of the expermental data to the NICA-Donnan model s descrbed elsewhere (Knnburgh et al., 1999). The parameters used to descrbe the chargng behavor of SFA wth the NICA-Donnan model are gven n Table 2. Fgure 5 shows the adsorpton envelopes for three dfferent

8 1470 J. D. Flus et al. Table 3. Basc physcal chemcal parameters used for the descrpton of the chargng behavor of the goethte. FeOH 0.5- H 0.5 N FeOH 2 log K H Fe 3 O 0.5- H N FeOH 0.5 log K H A: 94 m 2 /g C: 0.9 F/m 2 N s (FeOH): 3.45 stes/nm 2 N s (Fe 3 O): 2.7 stes/nm 2 log K H PPZC: 9.2 log K Na 1 log K NO3 1 total amounts of FA at constant goethte concentratons as determned n a prevous study (Flus et al., 2000). The data show lttle salt dependency but the adsorpton s strongly ph dependent. Ths type of sorpton behavor s commonly found for FA and other fractons of NOM (Tppng, 1981; Becket and Le, 1990; Wang et al., 1997; Au et al., 1999). The lnes n Fg. 5 represent the model descrpton. Table 4 lsts the parameter values used to descrbe the adsorpton data Number of Adjustable Parameters In prncple, two parameters are adjustable for each type of defned reacton;.e., the medan ntrnsc affnty constant of the complex and the nondealty parameter n. In addton, the parameter p determnes the wdth of the ntrnsc affnty dstrbutons of carboxylc and hydroxylc groups. However, the number of adjustable parameters can be reduced by a number of assumptons. We assume a partal correlaton between the dstrbutons of the affnty constants of the dfferent complexes. Accordng to Rusch et al. (1997) the NICA model can be nterpreted to relate to a partal correlaton when the n-values for the dfferent reactons are equal and smaller than 1. Therefore we assume: n n H n n n out,. Mlne et al. (2001) determned the generc NICA-Donnan model parameters for 25 data sets. Ther results show a varaton n the value of the nondealty factor n. We have taken the value for the n H value of Mlne et al. (2001) for our n parameter. The ntrnsc chemcal heterogenety parameter p wll follow n ths approach from the n H value taken from the generc parameter set and the dstrbuton wdth (m n * p) found from the nterpretaton of the H-ttraton data (Fg. 4). Therefore, the medan affnty constants for each type of complex formed are the only adjustable parameters. In the applcaton of the LCD model, we assume further that the protonaton of the adsorbed organc lgands can be descrbed wth the same parameters as found for the descrpton of the basc chargng behavor of FA n soluton. Furthermore, the dfference n affnty for the two types of outer sphere complexaton reactons of the hydroxylc groups s assumed to be only due to the proton affnty of the hydroxyl group n case the hydroxyl group act as the proton donor (reactons 9 and 10 of Table 1). Therefore, n the model approach used here only three adjustable parameters reman,.e., logk n, logk out,1, and logk out,2. The parameters that are taken from the generc data set (Mlne et al., 2001) or ndependently obtaned from curve fttng of soluton ttraton data are gven n Table 4. The number of adjustable parameters s comparable to the number often needed to descrbe the adsorpton of much smpler anons, such as oxyanons (Bowden et al., 1980; Dzombak and Morel, 1990; Mannng and Goldberg, 1996; Geelhoed et al., 1998). Wth a mnmum of the three adjustable affnty constants we are able to descrbe the data presented n Fg. 5 takng nto account all reactons of Table Specaton of the Adsorbed FA Based on the descrpton of the data we can analyze the adsorpton behavor of FA. The adsorpton of FA by goethte s largely determned by the specaton of the adsorbed FA molecules. In Fg. 6, the specaton of the adsorbed FA molecules s gven for the hghest FA:goethte rato presented n Fg. 5c. In a large range of ph values (ph 4 to 12), Fg. 6 represents the specaton of the bound FA at the pseudoplateau of the adsorpton sotherms. Fgure 6a shows the fate of the carbox- Fg. 4. Basc chargng behavour of SFA n soluton at four salt levels.

9 Modelng the adsorpton of fulvc acd by goethte 1471 Table 4. Parameters for the NICA model used for the calculaton of the specaton of the adsorbed FA molecules. logk n 1 Ftted logk out, Ftted logk out,2 3.5 Ftted n Generc data set a n Generc data set a p m n H. p p m n H. p a Mlne et al., Fg. 5. The adsorpton envelopes of SFA by goethte n 0.01 mol/l (open symbols and dotted lnes) and 0.1 mol/l NaNO 3 (sold symbols and full lnes). The suspenson densty of goethte s 5 g/l and three dfferent total FA concentratons: (a) 75 mg/l; (b) 150 mg/l; (c) 300 mg/l. ylc groups of an adsorbed FA molecule. Under the condtons of apparent maxmal adsorpton, model calculatons show that the carboxylc groups react predomnantly va outer sphere complexes. At low ph, nner sphere complexes become more mportant owng to ther favorable charge dstrbuton. Wth ncreasng ph, the electrostatc nteractons wll ncreasngly favor outer over nner sphere complexaton. Over the entre ph range, part of the carboxylc groups s dssocated. Only a small fracton of the carboxylc groups becomes protonated at low ph. Ths behavor agrees wth the fndngs of Boly et al. (2000) who studed the bndng of three carboxylc acds. They nferred from spectroscopc data that outer sphere complexes are mportant at hgh ph, whereas nner sphere complex formaton becomes sgnfcant at low ph. For multple carboxylc acd (e.g., pyromelltc acd) Boly et al. found that the protonated reactve groups become notceable. Fgure 6b shows the fate of the hydroxylc groups. Almost all hydroxylc groups are nvolved n the complexaton reactons wth the goethte surface over a wde ph range. The dfferences n charge dstrbuton of the two hydroxylc outer sphere complexes cause a preferental formaton of the complex n whch the hydroxylc FA group acts as the H-bond donor at low ph. Wth ncreasng ph, the complex s replaced by the goethte surface group as the proton donor. At low ph, the specaton calculatons show that the hydroxylc groups that are not assocated wth the surface start to become notceable. Accordng to the calculatons, these groups are protonated. To date, no spectroscopc data are avalable to verfy the presented specaton calculatons for the hydroxylc groups presented n Fg. 6b. In the present model, the man parameters determnng the specaton are the medan affnty constant, the nondealty coeffcent, and the charge dstrbuton of the dfferent complexes. As was found by Flus et al. (2000, 2001), the medan affnty constants for the formaton of outer sphere complexes are much hgher than for the formaton of nner sphere complexes. Ths ndcates that the replacement of a water molecule n case of nner sphere complex formaton s not necessarly favorable. The hgher affnty constant for the formaton of outer sphere complexes nvolvng a hydroxylc group compared to carboxylc groups corresponds wth the larger undersaturaton of the hydroxylate oxygen ( 1 per O) compared to the carboxylate oxygens ( 0.5 per O) of the organc molecule Verfcaton of the LCD Model To verfy the LCD model, we predct the coadsorpton of protons n case 99% of the added FA s adsorbed. Recently, Retra et al. (1999) ponted out that proton-on ttratons at constant ph and a hgh sold/lqud rato provde addtonal nformaton under these condtons. The adsorbed amount of FA (x-axs) n such experments follows drectly from the added total amount. The number of protons that coadsorb/ desorb (y-axs) follows from the amount of acd (or base) added to mantan a constant ph. The coadsorpton of protons s measured as the extra amount of protons consumed upon the adsorpton of FA at constant ph. In ths study, we have measured the proton-fa adsorpton stochometry for three dfferent ph values and two electrolyte concentratons. Fgure 7 shows the results of the proton-on ttratons. The lnes n the fgure ndcate model predctons. Note that the model s calbrated on the FA adsorpton data of Fg. 5 where the goethte has a relatvely hgh FA loadng. The FA:goethte rato used n the proton-on ttratons s much lower than the ratos used n the adsorpton experments (ph 7: 18 to 180 g FA/m 2 and60to630 g FA/m 2 respectvely).

10 1472 J. D. Flus et al. Fg. 6. The specaton of adsorbed FA molecules on the goethte surface expressed n number of complexes per adsorbed FA molecule (FA ads) plotted as functon of ph at the hghest goethte:fa rato of Fg. 5. (a) The specaton of the adsorbed carboxylc groups; (b) the specaton of the adsorbed hydroxylc groups. Note that the number of complexes per adsorbed FA molecule s equvalent to the stochometry coeffcent of that partcular complex. The calculatons of the proton coadsorpton are therefore pure predctons for stuatons whch are extrapolatons compared to Fg. 5 and not nterpolatons. The effects of ph, onc strength, and surface loadng on the proton adsorpton are predcted qute accurately. 5. CONCLUSIONS The LCD model enables the smultaneous descrpton of the concentraton, ph, and salt dependency of FA adsorpton and the related charge phenomena: basc proton chargng, coadsorpton of protons upon FA adsorpton. The model exhbts dfferent levels of detal. At a mcroscopc scale, the types of complexes between protons and the reactve groups of FA and the surface are defned. The structures of the complexes are, f possble based on nformaton obtaned from spectroscopc studes. Protons n soluton and reactve surface groups compete for the same reactve groups of the FA molecule. The nteractons result n a specaton of the adsorbed FA molecule that depends on ph, onc strength, surface loadng, and so forth. Ths level of detal s comparable to the bndng of protons and heavy metals by humc materals. The specaton of the adsorbed FA molecules s calculated usng the NICA model. The specaton of the adsorbed FA molecule mplctly determnes the most mportant factors for NOM bndng by oxde surfaces, e.g., the overall bndng affnty, the charge dstrbuton near the surface, and the stochometry of an adsorbed FA molecule. The macroscopc dstrbuton of FA over the dssolved and adsorbed state s calculated usng the CD-MUSIC model. The couplng of the NICA equaton and the CD-MUSIC model s self-consstent. Ths means that the specaton of the bound FA determnes the overall affnty constant, the overall charge dstrbuton, and the stochometry of the adsorpton reacton and vce versa. For the calculaton of the specaton of the bound FA, as well as n the calculaton of the overall adsorpton of FA by goethte, the electrostatc nteractons are taken nto account usng the BS approach.

11 Modelng the adsorpton of fulvc acd by goethte 1473 Fg. 7. The coadsorpton of protons as functon of the adsorbed amount of FA at three ph values and two onc strengths. The open symbols and dotted lnes represent the data at 0.01 mol/l NaNO 3 and the sold symbols and sold lnes the data at 0.1 mol/l NaNO 3. The model lnes are pure predctons. Because of the complex nature of the nteractons between organc materals and oxde surfaces, spectroscopy studes gve at present lttle nformaton about the specaton of the adsorbed organc molecules. The spectroscopc data provde quanttatve nformaton about the types of complexes formed between the reactve groups of the surface and of the organc molecule. Ths nformaton corresponds to the mcroscopc level of detal of the present approach and constrans the types of complexes used n the model. The calculated surface specaton of the adsorbed FA molecule (Fg. 6) shows that almost all hydroxylc groups are nvolved n surface complexaton reactons. The noncoordnated groups of adsorbed FA molecules are predomnantly deprotonated carboxylate groups. The model calculatons show that the carboxylc groups are mportant for the FA bndng at low ph, whereas the hydroxylc groups are relatvely more mportant at hgh ph. Ths s n agreement wth studes determnng the sorpton of small, well-defned, weak organc carboxylc and hydroxylc acds. Inner sphere complexes become mportant at low ph; outer sphere complexes are mportant at hgh ph. Ths s n agreement wth the complex formaton nferred from spectroscopy studes of small organc acds. The advantage of the model approach presented here s that t can also be appled or extended for larger, complex molecules lke humc acds. For the adsorpton of molecules larger than humc acd (e.g., large polyelectrolytes), the conformatonal changes due to a varaton n the formaton of so-called loops and tals wth changes n ph and salt level are mportant. As entropc and hydrophobc contrbutons are taken nto account only mplctly n the LCD model, the model s less sutable for descrbng the adsorpton of the polyelectrolyte molecules wth very large molecular weght. In the near future, the LCD model wll be used to test how far the approach wll gve satsfactory results for complex systems n whch oxyanons and polyvalent catons wll be smultaneously present together wth the oxde and the FA. Acknowledgments We would lke to thank the revewers for ther constructve comments on ths paper. Assocate edtor: S. J. Trana REFERENCES Aken G. R., Thurman E. M., Malcolm R. L., and Walton H. F. (1970) Comparson of XAD macroporous resns for the concentraton of fulvc acd from aqueous soluton. Anal. Chm. Acta 51, Al M. A. and Dzombak D. A. (1996) Compettve sorpton of smple organc acds and sulfate on goethte. Envron. Sc. Technol. 26, Atknson et al., 1967; Evanko and Dzombak 1998; and Gu et al., 1995; Mlne Au K-K., Pensson A. C., Yang S., and O Mela C. R. (1999) Natural organc matter at oxde/water nterfaces: Complexaton and conformaton. Geochm. Cosmochm. Acta 63, Avena M. J., Vermeer A. W. P., and Koopal L. K. (1999) Volume and structure of humc acds studed by vscometry: ph and electrolyte concentraton effects. Collods Surfaces A 151, Balstrer L. S. and Murray J. W. (1986) The nfluence of the major ons of seawater on the adsorpton of smple organc acds by goethte. Geochm. Cosmochm. Acta 51, Beckett R. and Le N. P. (1990) The role of organc matter and onc composton n determnng the surface charge of suspended partcles n natural waters. Collods Surfaces 44, Benedett M. F., Van Remsdjk W. H., and Koopal L. K. (1996) Humc substances consdered as a heterogeneous Donnan gel phase. Envron. Sc. Technol. 30, Berbel F., Díaz-Cruz J. M., Arño C., Esteban M., Mas F., Garcés J. L., and Puy J. (2001) Voltammetrc analyss of heterogenety n metal on bndng by humcs. Envron. Sc. Technol. 35, Boly J. F., Persson P., and Sjoberg S. (2000) Benzenecarboxylate surface complexaton at the goethte (a-feooh)/water nterface: II. Lnkng IR spectroscopc observatons to mechanstc surface com-

12 1474 J. D. Flus et al. plexaton models for phthalate, trmelltate and pyromelltate. Geochm. Cosmochm. Acta 64, Bowden J. W., Nagarajah S., Barrow N. J., Posner A. M., and Qurk J. P. (1980) Descrbng the adsorpton of phosphate, ctrate and selente on a varable-charge mneral surface. Aust. J. Sol Res. 18, Chrstensen J. B., Tppng E., Knnburgh D. G., Gron C., and Chrstensen T. H. (1998) Proton bndng by groundwater fulvc acds of dfferent age, orgns, and structure modeled wth the model V and NICA-Donnan model. Envron. Sc. Technol. 32, Davs J. A. (1982) Adsorpton of natural dssolved organc matter at the oxde/water nterface. Geochm. Cosmochm. Acta 46, Dzombak D. A. and Morel F. M. M. (1990) Surface Complexaton Modelng: Hydrous Ferrc Oxde. Wley, New York. Evanko C. R. and Dzombak D. A. (1999) Surface complexaton modelng of organc acd sorpton to goethte. J. Collod Interface Sc. 214, Flus J. D., Hemstra T., and Van Remsdjk W. H. (1997) Adsorpton of small weak organc acds on goethte: Modelng of mechansms. J. Collod Interface Sc. 195, Flus J. D., Lumsdon D. G., Meeussen J. C. L., Hemstra T., and Van Remsdjk W. H. (2000) Adsorpton of fulvc acd on goethte. Geochm. Cosmochm. Acta 64, Flus J. D., Meeussen J. C. L., Hemstra T., and Van Remsdjk W. H. (2001) Modellng the bndng of benzenecarboxylates by goethte: The specaton of adsorbed organc molecules. J. Collod Interface Sc. 244, Geelhoed J. S., Hemstra T., and Van Remsdjk W. H. (1998) Compettve nteracton between phosphate and ctrate on goethte. Envron. Sc. Technol. 32, Gu B., Schmtt J., Chem Z., Lang L., and McCarthy J. F. (1994) Adsorpton and desorpton of natural organc matter on ron oxde: Mechansms and models. Envron. Sc. Technol. 28, Gu B., Schmtt J., Chem Z., Lang L., and McCarthy J. F. (1995) Adsorpton and desorpton of dfferent organc matter fractons on ron oxde. Geochm. Cosmochm. Acta 59, Hemstra T., Van Remsdjk W. H., and Bolt G. H. (1989a) Multste proton modelng at the sold/water nterface of (hydr)oxdes: A new approach. I. Model descrpton and evaluaton of ntrnsc reacton constants. J. Collod Interface Sc. 133, Hemstra T., De Wt J. C. M., and Van Remsdjk W. H. (1989b) Multste proton adsorpton modelng at the sold/soluton nterface of (hydr)oxdes: A new approach, II. Applcaton to varous mportant (hydr)oxdes. J. Collod Interface Sc. 133, Hemstra T. and Van Remsdjk W. H. (1996) A structural approach to on adsorpton: The charge dstrbuton model. J. Collod Interface Sc. 179, Kaser K., Guggenberger G., Haumaer L., and Zech W. (1997) Dssolved organc matter sorpton on subsols and mnerals studed by 13C-NMR and DRIFT spectroscopy. Eur. J. Sol Sc. 48, Karltun E. (1998) Modellng SO 4 2 surface complexaton on varable charge mnerals. II. Competton between SO 4 2, oxalate and fulvate. Eur. J. Sol Sc. 49, Knnburgh D. K., Van Remsdjk W. H., Koopal L. K., Borkovec M., Benedett M. F., and Avena M. J. (1999) Ion bndng to natural organc matter: Competton, heterogenety, stochometry, and thermodynamc consstency. Collods Surfaces A 151, Koopal L. K., Van Remsdjk W. H., De Wt J. C. M., and Benedett M. F. (1994) Analytcal sotherm equatons for multcomponent adsorpton to heterogeneous surfaces. J. Collod Interface Sc. 166, Langford C. H., Gamble D. S., Underdown A. W., and Lee S. (1983) Interactons of metal ons wth a well characterzed fulvc acd. In Aquatc and Terrestral Humc Materals (eds. R. F. Chstman and E. T. Gjessng), pp Ann Arbor Scence, Ann Arbor, MI. Lead J. R., Wlknson D. J., Starchev K., Canonca S., and Buffle J. (2000) Determnaton of dffuson coeffcents of humc substances by fluorescence correlaton spectroscopy: Role of soluton condtons. Envron. Sc. Technol. 34, Mannng B. A. and Goldberg S. (1996) Modelng compettve adsorpton of arsenate wth phosphate and molybdate on oxde mnerals. Sol Sc. Soc. Am. J. 60, Meeussen J. C. L. (2001) ORCHESTRA, a new object-orented framework for mplementng chemcal equlbrum models. Envron. Sc. Technol. (submtted). Mlne C. J., Knnburgh D. G., and Tppng E. (2001) Generc NICA- Donnan model parameters for proton bndng by humc substances. Envron. Sc. Technol. 35, Parftt R. L., Fraser A. R., and Farmer V. C. (1977a) Adsorpton on hydrous oxdes. I. Oxalate and benzoate on goethte. J. Sol Sc. 28, Parftt R. L., Fraser A. R., and Farmer V. C. (1977b) Adsorpton on hydrous oxdes. III. Fulvc acd and humc acd on goethte, gbbste and mogolte. J. Sol Sc. 28, Pnhero J. P., Mota A. M., and Benedett M. F. (1999) Lead and calcum bndng to fulvc acds: Salt effect and competton. Envron. Sc. Technol. 33, Retra R. P. J. J., Hemstra T., and Van Remsdjk W. H. (1999) Sulfate adsorpton on goethte. J. Collod Interface Sc. 218, Retra R. P. J. J., Hemstra T., and Van Remsdjk W. H. (2000) Electrolyte anon affnty and ts effect on oxyanon adsorpton on goethte. J. Collod Interface Sc. 229, Rusch U., Borkovec M., Dacc J., and Van Remsdjk W. H. (1997) Interpretaton of compettve adsorpton sotherms n terms of affnty dstrbutons. J. Collod Interface Sc. 191, Swft R. S. (1996) Organc matter characterzaton. In Methods of Sol Analyss. Part 3. Chemcal Methods (eds. D. L. Sparks, et al.), pp Sol Sc. Soc. Am. Book Seres: 5 Sol Scence Socety of Amerca, Madson, WI. Tppng E. (1981) The adsorpton of aquatc humc substances by ron oxdes. Geochm. Cosmochm. Acta 45, Van Zomeren A. and Comans R. N. J. Charactersaton of dssolved organc carbon n leachates from MSWI bottom ash (n preparaton). Venema P., Hemstra T., and Van Remsdjk W. H. (1996) Mult ste adsorpton of cadmum on goethte. J. Collod Interface Sc. 183, Vermeer A. W. P., Van Remsdjk W. H., and Koopal L. K. (1998) Adsorpton of humc acd to mneral partcles. 1. Specfc and electrostatc nteractons. Langmur 14, Wang L., Chn Y. P., and Trana S. J. (1997) Adsorpton of (poly)malec acd and an aquatc fulvc acd by goethte. Geochm. Cosmochm. Acta 61,

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

Electrical double layer: revisit based on boundary conditions

Electrical double layer: revisit based on boundary conditions Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer

More information

Assignment 4. Adsorption Isotherms

Assignment 4. Adsorption Isotherms Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels Grand canoncal Monte Carlo smulatons of bulk electrolytes and calcum channels Thess of Ph.D. dssertaton Prepared by: Attla Malascs M.Sc. n Chemstry Supervsor: Dr. Dezső Boda Unversty of Pannona Insttute

More information

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -

More information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2. Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.

More information

/ n ) are compared. The logic is: if the two

/ n ) are compared. The logic is: if the two STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

Gasometric Determination of NaHCO 3 in a Mixture

Gasometric Determination of NaHCO 3 in a Mixture 60 50 40 0 0 5 15 25 35 40 Temperature ( o C) 9/28/16 Gasometrc Determnaton of NaHCO 3 n a Mxture apor Pressure (mm Hg) apor Pressure of Water 1 NaHCO 3 (s) + H + (aq) Na + (aq) + H 2 O (l) + CO 2 (g)

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure nhe roblem-solvng Strategy hapter 4 Transformaton rocess onceptual Model formulaton procedure Mathematcal Model The mathematcal model s an abstracton that represents the engneerng phenomena occurrng n

More information

Solution Thermodynamics

Solution Thermodynamics Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs

More information

This column is a continuation of our previous column

This column is a continuation of our previous column Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard

More information

and Statistical Mechanics Material Properties

and Statistical Mechanics Material Properties Statstcal Mechancs and Materal Propertes By Kuno TAKAHASHI Tokyo Insttute of Technology, Tokyo 15-855, JAPA Phone/Fax +81-3-5734-3915 takahak@de.ttech.ac.jp http://www.de.ttech.ac.jp/~kt-lab/ Only for

More information

Be true to your work, your word, and your friend.

Be true to your work, your word, and your friend. Chemstry 13 NT Be true to your work, your word, and your frend. Henry Davd Thoreau 1 Chem 13 NT Chemcal Equlbrum Module Usng the Equlbrum Constant Interpretng the Equlbrum Constant Predctng the Drecton

More information

Thermodynamics General

Thermodynamics General Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

is the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors

is the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors Multple Lnear and Polynomal Regresson wth Statstcal Analyss Gven a set of data of measured (or observed) values of a dependent varable: y versus n ndependent varables x 1, x, x n, multple lnear regresson

More information

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

More information

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products modelng of equlbrum and dynamc mult-component adsorpton n a two-layered fxed bed for purfcaton of hydrogen from methane reformng products Mohammad A. Ebrahm, Mahmood R. G. Arsalan, Shohreh Fatem * Laboratory

More information

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State I wsh to publsh my paper on The Internatonal Journal of Thermophyscs. Ttle: A Practcal Method to Calculate Partal Propertes from Equaton of State Authors: Ryo Akasaka (correspondng author) 1 and Takehro

More information

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9.

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9. 9.9 Real Solutons Exhbt Devatons from Raoult s Law If two volatle and mscble lquds are combned to form a soluton, Raoult s law s not obeyed. Use the expermental data n Table 9.3: Physcal Chemstry 00 Pearson

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Entropy generation in a chemical reaction

Entropy generation in a chemical reaction Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy

More information

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning European Symposum on Computer Arded Aded Process Engneerng 15 L. Pugjaner and A. Espuña (Edtors) 2005 Elsever Scence B.V. All rghts reserved. Three-Phase Dstllaton n Packed Towers: Short-Cut Modellng and

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Negative Binomial Regression

Negative Binomial Regression STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

CHEMICAL REACTIONS AND DIFFUSION

CHEMICAL REACTIONS AND DIFFUSION CHEMICAL REACTIONS AND DIFFUSION A.K.A. NETWORK THERMODYNAMICS BACKGROUND Classcal thermodynamcs descrbes equlbrum states. Non-equlbrum thermodynamcs descrbes steady states. Network thermodynamcs descrbes

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

Supporting Information

Supporting Information Supportng Informaton The neural network f n Eq. 1 s gven by: f x l = ReLU W atom x l + b atom, 2 where ReLU s the element-wse rectfed lnear unt, 21.e., ReLUx = max0, x, W atom R d d s the weght matrx to

More information

Bayesian predictive Configural Frequency Analysis

Bayesian predictive Configural Frequency Analysis Psychologcal Test and Assessment Modelng, Volume 54, 2012 (3), 285-292 Bayesan predctve Confgural Frequency Analyss Eduardo Gutérrez-Peña 1 Abstract Confgural Frequency Analyss s a method for cell-wse

More information

Supplementary Information:

Supplementary Information: Supplementary Informaton: Vsualzaton-based analyss of structural and dynamcal propertes of smulated hydrous slcate melt Bjaya B. Kark 1,2, Dpesh Bhattara 1, Manak Mookherjee 3 and Lars Stxrude 4 1 Department

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform Ths chapter deals wth chemcal reactons (system) wth lttle or no consderaton on the surroundngs. Chemcal Equlbrum Chapter 6 Spontanety of eactve Mxtures (gases) eactants generatng products would proceed

More information

A Self-Consistent Gibbs Excess Mixing Rule for Cubic Equations of State: derivation and fugacity coefficients

A Self-Consistent Gibbs Excess Mixing Rule for Cubic Equations of State: derivation and fugacity coefficients A Self-Consstent Gbbs Excess Mxng Rule for Cubc Equatons of State: dervaton and fugacty coeffcents Paula B. Staudt, Rafael de P. Soares Departamento de Engenhara Químca, Escola de Engenhara, Unversdade

More information

Mass Transfer Processes

Mass Transfer Processes Mass Transfer Processes S. Majd Hassanzadeh Department of Earth Scences Faculty of Geoscences Utrecht Unversty Outlne: 1. Measures of Concentraton 2. Volatlzaton and Dssoluton 3. Adsorpton Processes 4.

More information

Comparison of Regression Lines

Comparison of Regression Lines STATGRAPHICS Rev. 9/13/2013 Comparson of Regresson Lnes Summary... 1 Data Input... 3 Analyss Summary... 4 Plot of Ftted Model... 6 Condtonal Sums of Squares... 6 Analyss Optons... 7 Forecasts... 8 Confdence

More information

Chapter 2. Electrode/electrolyte interface: ----Structure and properties

Chapter 2. Electrode/electrolyte interface: ----Structure and properties Chapter 2 Electrode/electrolyte nterface: ----Structure and propertes Electrochemcal reactons are nterfacal reactons, the structure and propertes of electrode / electrolytc soluton nterface greatly nfluences

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge

More information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0 1) Slcon oxde has a typcal surface potental n an aqueous medum of ϕ, = 7 mv n 5 mm l at ph 9. Whch concentraton of catons do you roughly expect close to the surface? What s the average dstance between

More information

Answers Problem Set 2 Chem 314A Williamsen Spring 2000

Answers Problem Set 2 Chem 314A Williamsen Spring 2000 Answers Problem Set Chem 314A Wllamsen Sprng 000 1) Gve me the followng crtcal values from the statstcal tables. a) z-statstc,-sded test, 99.7% confdence lmt ±3 b) t-statstc (Case I), 1-sded test, 95%

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Polynomial Regression Models

Polynomial Regression Models LINEAR REGRESSION ANALYSIS MODULE XII Lecture - 6 Polynomal Regresson Models Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Test of sgnfcance To test the sgnfcance

More information

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS

LNG CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CARGO TRANSFER CALCULATION METHODS AND ROUNDING-OFFS CONTENTS 1. Method for determnng transferred energy durng cargo transfer. Calculatng the transferred energy.1 Calculatng the gross transferred energy.1.1

More information

Thermodynamics and statistical mechanics in materials modelling II

Thermodynamics and statistical mechanics in materials modelling II Course MP3 Lecture 8/11/006 (JAE) Course MP3 Lecture 8/11/006 Thermodynamcs and statstcal mechancs n materals modellng II A bref résumé of the physcal concepts used n materals modellng Dr James Ellott.1

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 16 8/4/14 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 214. Real Vapors and Fugacty Henry s Law accounts or the propertes o extremely dlute soluton. s shown n Fgure

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

Department of Quantitative Methods & Information Systems. Time Series and Their Components QMIS 320. Chapter 6

Department of Quantitative Methods & Information Systems. Time Series and Their Components QMIS 320. Chapter 6 Department of Quanttatve Methods & Informaton Systems Tme Seres and Ther Components QMIS 30 Chapter 6 Fall 00 Dr. Mohammad Zanal These sldes were modfed from ther orgnal source for educatonal purpose only.

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity 1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

Lecture. Polymer Thermodynamics 0331 L Chemical Potential

Lecture. Polymer Thermodynamics 0331 L Chemical Potential Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs

More information

Color Rendering Uncertainty

Color Rendering Uncertainty Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

Lecture 7: Boltzmann distribution & Thermodynamics of mixing

Lecture 7: Boltzmann distribution & Thermodynamics of mixing Prof. Tbbtt Lecture 7 etworks & Gels Lecture 7: Boltzmann dstrbuton & Thermodynamcs of mxng 1 Suggested readng Prof. Mark W. Tbbtt ETH Zürch 13 März 018 Molecular Drvng Forces Dll and Bromberg: Chapters

More information

4.2 Chemical Driving Force

4.2 Chemical Driving Force 4.2. CHEMICL DRIVING FORCE 103 4.2 Chemcal Drvng Force second effect of a chemcal concentraton gradent on dffuson s to change the nature of the drvng force. Ths s because dffuson changes the bondng n a

More information

Formulas for the Determinant

Formulas for the Determinant page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use

More information

Statistical Evaluation of WATFLOOD

Statistical Evaluation of WATFLOOD tatstcal Evaluaton of WATFLD By: Angela MacLean, Dept. of Cvl & Envronmental Engneerng, Unversty of Waterloo, n. ctober, 005 The statstcs program assocated wth WATFLD uses spl.csv fle that s produced wth

More information

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen "Thermodynamc Analyss of Processes for Hydrogen Generaton by Decomposton of Water" by John P. O'Connell Department of Chemcal Engneerng Unversty of Vrgna Charlottesvlle, VA 2294-4741 A Set of Energy Educaton

More information

Solid state reactions. Often defined as reactions between two solids. Here the definition is extended to any reaction involving a solid:

Solid state reactions. Often defined as reactions between two solids. Here the definition is extended to any reaction involving a solid: Sold state reactons Often defned as reactons between two solds Here the defnton s extended to any reacton nvolvng a sold: Sold/sold Sold/gas (Reacton, decomposton) (Sold/lqud) Intercalaton 1 2 Sold-State

More information

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS

APPENDIX 2 FITTING A STRAIGHT LINE TO OBSERVATIONS Unversty of Oulu Student Laboratory n Physcs Laboratory Exercses n Physcs 1 1 APPEDIX FITTIG A STRAIGHT LIE TO OBSERVATIOS In the physcal measurements we often make a seres of measurements of the dependent

More information

Chapter 9: Statistical Inference and the Relationship between Two Variables

Chapter 9: Statistical Inference and the Relationship between Two Variables Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,

More information

Lecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES

Lecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES COMPUTATIONAL FLUID DYNAMICS: FDM: Appromaton of Second Order Dervatves Lecture APPROXIMATION OF SECOMD ORDER DERIVATIVES. APPROXIMATION OF SECOND ORDER DERIVATIVES Second order dervatves appear n dffusve

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

Uncertainty as the Overlap of Alternate Conditional Distributions

Uncertainty as the Overlap of Alternate Conditional Distributions Uncertanty as the Overlap of Alternate Condtonal Dstrbutons Olena Babak and Clayton V. Deutsch Centre for Computatonal Geostatstcs Department of Cvl & Envronmental Engneerng Unversty of Alberta An mportant

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant

More information

Chapter 5 Multilevel Models

Chapter 5 Multilevel Models Chapter 5 Multlevel Models 5.1 Cross-sectonal multlevel models 5.1.1 Two-level models 5.1.2 Multple level models 5.1.3 Multple level modelng n other felds 5.2 Longtudnal multlevel models 5.2.1 Two-level

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Chapter 18, Part 1. Fundamentals of Atmospheric Modeling

Chapter 18, Part 1. Fundamentals of Atmospheric Modeling Overhead Sldes for Chapter 18, Part 1 of Fundamentals of Atmospherc Modelng by Mark Z. Jacobson Department of Cvl & Envronmental Engneerng Stanford Unversty Stanford, CA 94305-4020 January 30, 2002 Types

More information

JAB Chain. Long-tail claims development. ASTIN - September 2005 B.Verdier A. Klinger

JAB Chain. Long-tail claims development. ASTIN - September 2005 B.Verdier A. Klinger JAB Chan Long-tal clams development ASTIN - September 2005 B.Verder A. Klnger Outlne Chan Ladder : comments A frst soluton: Munch Chan Ladder JAB Chan Chan Ladder: Comments Black lne: average pad to ncurred

More information

Towards the modeling of microgalvanic coupling in aluminum alloys : the choice of boundary conditions

Towards the modeling of microgalvanic coupling in aluminum alloys : the choice of boundary conditions Presented at the COMSOL Conference 2008 Boston COMSOL Conference BOSTON November 9-11 2008 Towards the modelng of mcrogalvanc couplng n alumnum alloys : the choce of boundary condtons Ncolas Murer *1,

More information

Chapter 3 Describing Data Using Numerical Measures

Chapter 3 Describing Data Using Numerical Measures Chapter 3 Student Lecture Notes 3-1 Chapter 3 Descrbng Data Usng Numercal Measures Fall 2006 Fundamentals of Busness Statstcs 1 Chapter Goals To establsh the usefulness of summary measures of data. The

More information

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution Department of Statstcs Unversty of Toronto STA35HS / HS Desgn and Analyss of Experments Term Test - Wnter - Soluton February, Last Name: Frst Name: Student Number: Instructons: Tme: hours. Ads: a non-programmable

More information

x i1 =1 for all i (the constant ).

x i1 =1 for all i (the constant ). Chapter 5 The Multple Regresson Model Consder an economc model where the dependent varable s a functon of K explanatory varables. The economc model has the form: y = f ( x,x,..., ) xk Approxmate ths by

More information

The ChemSep Book. Harry A. Kooijman Consultant. Ross Taylor Clarkson University, Potsdam, New York University of Twente, Enschede, The Netherlands

The ChemSep Book. Harry A. Kooijman Consultant. Ross Taylor Clarkson University, Potsdam, New York University of Twente, Enschede, The Netherlands The ChemSep Book Harry A. Koojman Consultant Ross Taylor Clarkson Unversty, Potsdam, New York Unversty of Twente, Enschede, The Netherlands Lbr Books on Demand www.bod.de Copyrght c 2000 by H.A. Koojman

More information

A novel mathematical model of formulation design of emulsion explosive

A novel mathematical model of formulation design of emulsion explosive J. Iran. Chem. Res. 1 (008) 33-40 Journal of the Iranan Chemcal Research IAU-ARAK www.au-jcr.com A novel mathematcal model of formulaton desgn of emulson explosve Mng Lu *, Qfa Lu Chemcal Engneerng College,

More information

Thermo-Calc Software. Modelling Multicomponent Precipitation Kinetics with CALPHAD-Based Tools. EUROMAT2013, September 8-13, 2013 Sevilla, Spain

Thermo-Calc Software. Modelling Multicomponent Precipitation Kinetics with CALPHAD-Based Tools. EUROMAT2013, September 8-13, 2013 Sevilla, Spain Modellng Multcomponent Precptaton Knetcs wth CALPHAD-Based Tools Kasheng Wu 1, Gustaf Sterner 2, Qng Chen 2, Åke Jansson 2, Paul Mason 1, Johan Bratberg 2 and Anders Engström 2 1 Inc., 2 AB EUROMAT2013,

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

Chapter 1. Probability

Chapter 1. Probability Chapter. Probablty Mcroscopc propertes of matter: quantum mechancs, atomc and molecular propertes Macroscopc propertes of matter: thermodynamcs, E, H, C V, C p, S, A, G How do we relate these two propertes?

More information

CHEMICAL ENGINEERING

CHEMICAL ENGINEERING Postal Correspondence GATE & PSUs -MT To Buy Postal Correspondence Packages call at 0-9990657855 1 TABLE OF CONTENT S. No. Ttle Page no. 1. Introducton 3 2. Dffuson 10 3. Dryng and Humdfcaton 24 4. Absorpton

More information

1. Inference on Regression Parameters a. Finding Mean, s.d and covariance amongst estimates. 2. Confidence Intervals and Working Hotelling Bands

1. Inference on Regression Parameters a. Finding Mean, s.d and covariance amongst estimates. 2. Confidence Intervals and Working Hotelling Bands Content. Inference on Regresson Parameters a. Fndng Mean, s.d and covarance amongst estmates.. Confdence Intervals and Workng Hotellng Bands 3. Cochran s Theorem 4. General Lnear Testng 5. Measures of

More information

Credit Card Pricing and Impact of Adverse Selection

Credit Card Pricing and Impact of Adverse Selection Credt Card Prcng and Impact of Adverse Selecton Bo Huang and Lyn C. Thomas Unversty of Southampton Contents Background Aucton model of credt card solctaton - Errors n probablty of beng Good - Errors n

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The

More information

Uncertainty and auto-correlation in. Measurement

Uncertainty and auto-correlation in. Measurement Uncertanty and auto-correlaton n arxv:1707.03276v2 [physcs.data-an] 30 Dec 2017 Measurement Markus Schebl Federal Offce of Metrology and Surveyng (BEV), 1160 Venna, Austra E-mal: markus.schebl@bev.gv.at

More information