Microorganisms fuel their lives by performing redox reaction that generate the energy and reducing power needed tomaintain and construct themselves.
|
|
- Wesley Boyd
- 6 years ago
- Views:
Transcription
1 CHAPTER 3. Microbil Kinetics
2 3.Microbil Kinetics Microorgnisms fuel their lives by performing redox rection tht generte the energy nd reducing power needed tomintin nd construct themselves. Becuse redox rections re nerly lwys very slow unless ctlyzed, microorgnisms produce enzyme ctlysts tht increse the kinetics of their redox rections to exploit chemicl resources in their environment. Engineers wnt to tke dvntge of these microbilly ctlyzed rections becuse the chemicl resources of the microorgnisms usully re the pollutnts tht the engineers must control : Orgnics (BOD, e - donor), NH 4 + (e - donor, nutrient), NO (e cceptor, nutrient), PO 4 (nutrient), etc.
3 3.Microbil Kinetics Engineers who employ microorgnisms for pollution control must recognize two interrelted principles p (connections between the ctive biomss (the ctlyst) nd the primry substnces): First : Active microorgnisms ctlyze the pollutnt removing rections. o the rte of pollutnt t removl depends d on the concentrtion ti of the ctlyst, or the ctive biomss. econd : The ctive biomss is grown nd sustined through the utiliztion of its energy - nd electron (e - ) - generting primry substrtes. o the rte of biomss production is proportionl to the utiliztion rte of the primry substrtes.
4 3.1 Bsic Rte Expressions Mss blnce modeling is bsed on i) the ctive biomss nd ii) the primry substrte tht limits the growth rte of the biomss. In the vst mjority of cses, the rte limiting substrte is e - donor. o the term substrte now refers to the primry e - donor substrte. Jcques Monod : Nobel prize winner, director of Psteur Institute. Monod eqution : reltionship most frequently used to represent bcteril growth kinetics developed in the 194s. : His originl work relted the specific growth rte of fst growing bcteri to the concentrtion of rte limiting, e - donor substrte.
5 3.1 Monod eqution Monod eq : lrgely empiricl, but wide spred pplied for microbil systems μ syn 1 d dt μ K + syn [3.1] μ syn t specific growth rte due to synthesis(t -1 ) concentrtion of ctive biomss(m -3 x L ) Time (T) concentrtion of the rte-limiting substrte (M s L -3 ) μ μ mximum specific growth rte(t -1 ) K substrte concentrtion giving one-hlf the mximum rte (M -3 s L )
6 3.1 Monod eqution Compre eq. 3.1 with eq μ syn 1 d ( ) syn μ dt K + [3.1] v v v + [1.13] m Michelis-Menten eqution : K M - developed in theory of enzyme ction nd kinetics : Rection velocity KM : ubstrte concentrtion giving one-hlf of the mximum velocity Microorgnisms re bgs full of enzymes so tht it is not surprising tht the growth rte of microorgnisms (Monod eq.) is relted to the rections of the ctlysts tht medite mny rections (Michelis nd Menten eq.)
7 3.1 Bsic Rte Expressions Endogenous decy: 1) Environmentl engineers study more slowly growing g bcteri tht hs n energy demnd for mintennce. 2) Active biomss hs n energy demnd for mintennce of cell functions ( motility, repir nd re-synthesis synthesis, osmotic regultion, trnsport nd het loss). 3) Flow of energy nd electrons re required to meet mintennce needs. 4) The cell oxidize themselves to meet mintennce- energy needs. μ 1 d dt dec decy - b [3.2] b endogenous-decy coefficient(t -1 ) μ dec specific growth rte due to decy(t -1 )
8 3.1 Endogenous Decy μ 1 d dt dec decy -b [3.2] Oxidtion decy rte : Although most of the decyed biomss is oxidized, smll frction ccumultes s inert biomss μ 1 d dt resp decy f d - f d b [3.3] : frction of ctive biomss tht is biodegrdble The rte t which ctive biomss is converted to inert biomss μ μ -μ inert dec resp 1 di 1 d b ( fdb) (1 f dt dt inert : inert biomss concentrtion(m -3 x L ) i d ) b [3.4] - inert biomss formed from ctive biomss decy -inert biomss represents frction of only the orgnic portion of ctive biomss
9 3.1 Net specific growth rte The net specific growth rte of ctive biomss(μ) is the sum of new growth nd decy 1 d μ μsyn + μdec μ dt K + -b [3.5]
10 3.1 Net specific growth rte Mximum specific growth rte Figure3.1 schemtic of how the synthesis nd net specific growth rtes depend on the substrte concentrtion. At 2K, μsyn o.95 μ If o, then μ μ syn b + μ dec μ K + -b
11 3.1 Rte of substrte utiliztion The ultimte interest is to remove substrte r q K + ut [3.6] r ut rte of substrte utiliztion (M L -3 T -1 ) rte of substrte utiliztion (M s L T ) q mximum specific rte of substrte utiliztion (M s M -1 x T -1 ) ubstrte utiliztion nd biomss growth re connected by μ q Y [3.7 ]
12 3.1 Net rte of ctive-biomss growth μ q Y (T -1 ) (M s M x -1 T -1 ) (M x M s -1 ) (T -1 ) The net rte of cell growth : μ μ K + -b K + rnet μ μ - r net q Y K + -b b [3.7 ] [3.5] [3.8] r net the net rte of ctive-biomss growth (M x L -3 T -1 )
13 3.1 Bsic Rte Expressions is connected with. r net μ r net Y K μ q + - b ome prefer to think of cell mintennce s being shunting of substrte - derived electrons nd energy directly for mintennce. This is expressed by [3.1]. μ q Y ( K + - m) [3.9] [3.1] m mintennce-utiliztion rte of substrte (M s M x -1 T -1 ) When systems go to stedy stte, there is no difference in the two pproch, nd b Ym
14 3.1 Bsic Rte Expressions μ μ r net q Y K + q Y ( - m) K + d / dt Y ( m) ) d / dt b < m μ < Y - b [3.9] m mintennce-utiliztion rte of substrte (M s M -1 x T -1 ) b/y At strvtion stte, the substrte utiliztion rte is less thn m At stedy stte, the net specific growth rte of cell (μ), or the net yield (Y n )is zero., const. μ d / dt m b Y - Any growth of biomss (Ym) only supplements the decy of biomss (b). o pprently the concentrtion of biomss does not chnge. - The energy supplied through substrte utiliztion is just equl to m, the mintennce ene
15 3.2 PARAMETER VALUE
16 3.2 PARAMETER VALUE---Y Aerobic heterotrophs: Denitrifying heterotrophs: H 2 -Oxidizing sulfte reducers: Next slide
17
18 3.2 PARAMETER VALUE---Y Experimentl estimtion of Y - A smll Inoculum is grown to exponentil phse nd hrvested from btch growth. Mesure the chnges in biomss nd substrte conc. from inoculum until the time of hrvesting. - The true yield is estimted from Y -Δ / Δ - The btch technique is dequte for rpidly growing g cells, but cn crete errors when the cells grow slowly so tht biomss decy cn not be neglected.
19 3.2 PARAMETER VALUE -- q q is controlled lrgely by e - flow to the electron cceptor. For 2 o C, the mximum flow to the energy rection is bout 1 e - eq / gv d, where 1 g V represents 1g of biomss. - q e bout 1 e eq / V - d t 2 q q e / f / e C [3.11] For exmple (Tble 3.1), if f s.7, then f e.3. o q q e / f e 8g BOD L / V d /.3 27 g BOD L / gv d q is temperture q T q q function T q T R 2 (1.7) (1.7) ( T- T ( T -2) R ) [3.12] [3.13]
20 3.2 PARAMETER VALUE--q b is depends on species type nd temperture. b.1-.3 /d for erobic heterotrophs b <.5 /d for slower-growing species b T b T R (1.7) ( T -T R ) Biodegrdble frction (f d ) is quite reproducible nd hs vlue ner.8 for wide rnge of microorgnisms
21 3.2 PARAMETER VALUE---k q r net Y -b K + [3.8] K is the Monod hlf-mximum-rte concentrtion most vrible nd lest predictble prmeter Its vlue cn be ffected by the substrte`s ffinity for trnsport or metbolic enzymes mss-trnsport resistnces (pproching of substrte nd microorgnisms to ech other) ignored for suspended growth re lumped into the Monod kinetics by n increse in K
22 3.3 Bsic Mss Blnces Chemostt: completely mixed rector, uniform nd stedy concentrtions of ctive cell, substrte, inert biomss nd ny other constituents. Active biomss μ V Q. ubstrte V r ut + Q [ 3 14] ( ) [ 3. 15] Q constnt feed flow rte Q constnt feed flow rte o feed substrte concentrtion
23 3.3 Bsic Mss Blnces Active biomss μ V Q. [ 3 14] μ qˆ q Y V b V Q K + r net [ ] Y qˆ K + b [ 3.9] K V 1+ b Q V V Yqˆ q 1+ b Q Q [ 3. 18]
24 3.3 Bsic Mss Blnces ubstrte V r ut + Q ( ) [ 3. 15] r ut qˆ K + [ 3.6] qˆ q K + V + Q ( ) [ 3. 17] b V + Q Y qˆ K + V from [ 3.16 ] Y 1 V b Q ( ) [ 3. 19] 1+
25 3.3 HRT & RT HRT (Hydrulic detention time) hydrulic detention time ( T) θ V / Q [ 3.2] 1 dilution rte( (T ) D Q / V [ ] θ RT (olids retention time) MCRT (Men cell residence time) ludge ge ctive biomss in the system μ production rte of ctive biomss 11 [ 3.22] d μ μ 1 μsyn + μdec dt K + -b [3.5]
26 3.3 RT ( θ ) θ ctive biomss in the system μ production rte of ctive biomss 1 [ 3. 22] RT : Physiologicl sttus of the system : Informtion bout the specific growth rte of the microorgnisms
27 3.3 RT ( θ ) RT with quntittive prmeters V V θ θ Q Q 1 D [ 3.23 ] θ θ in chemostt t stedy stte V 1+ b Q K V V Yqˆ 1 b + Q Q [ 3. 18] 1+ bθ Yqˆ θ ( 1+ bθ ) V Q θ θ K [ 3. 24] 1 ( ) [ 3. 19] Y Y [ ] V 1+ b 1 b + θ Q
28 3.3 RT ( θ ) nd re controlled by RT( θ ) 1+ bθ K Yq ˆ qθθ + b Y 1 + b θ ( [ 3.24] 1+ b θ ) 1 [ 3. 25]
29 3.3 RT ( min θ ) 1) t very smll θ :, min θ wshout : vlue t which wshout begins θ min : θ < θ by letting in eq 3.24 nd solving for θ K Yqˆ θ 1+ bθ ( 1+ bθ ) [ 3. 24] θ min θ K + ( Yqˆ b ) bk θ V / Q, θ then Q ( V const.) [ 3.26]
30 3.3 RT ([ θ min ] ) lim min θ K + ( Yqˆ b ) bk [ 3.26] min θ decreses with incresing [ θ min ] lim lim min [ θ ] lim o lim s o s K / K + ( Yqˆ b ) + 1 ( Yqˆ b ) bk / bk 1 [3.27] Yqˆ b defines n bsolute minimum θ (or mximum ) boundry for hving stedy-stte stte biomss. It is fundmentl delimiter of biologicl process. μ
31 3.3 RT ( min θ ) min 2) For ll θ > θ, declines monotoniclly with incresing θ θ θ V / Q, θ then Q ( V const.)
32 3.3 RT ( min ) 3) For very lrge θ, pproches nother key limiting vlue, min. K Yqˆ θ 1+ b θ b [ 3.24] ( ) 1+ bθ min 1+ bθ lim K x Yqˆ θ 1 + θ lim θx b K Yq ˆ b ( 1+ b θ ) 1/ θ + b K Yqˆ 1/ θ b 1 θ θ V / Q, θ then Q ( V const.)
33 3.3 RT ( min ) min is the minimum concentrtion cpble of supporting stedy-stte stte biomss. - If < min, the cells net specific growth rte is negtive. μ - In eq 3.9,, then - b. μ r net Y q K + - b [3.9] - Biomss will not ccumulte or will grdully dispper. - Therefore, stedy-stte biomss cn be sustined only when > min.
34 3.3 RT ( vrition) θ min θ 4) When >, rises initilly, becuse Q( ) increses s θ becomes lrger. - However, reches mximum nd declines s decy becomes dominnt (Q( ) decreses) for lrge (smll Q) - If θ were to extend to infinity, would pproch zero (eq 3.25) θ Y 1 + bθ [ 3. 25]
35 3.3 Microbiologicl fety Fctor 5) We cn reduce from o to min min s we increse θ from θ to infinity. - The exct vlue of θ we pick depends on blncing of substrte removl ( ), biomss production ( Q ), rector volume (V) nd other fctors. - In prctice, engineers often specify microbiologicl sfety fctor, min defined by /. θ θ - Typicl sfety fctor 5 ~ 1.
36 3.4 Mss Blnces on Inert Biomss nd Voltile olids Becuse some frction of newly synthesized biomss is refrctory to self-oxidtion, endogenous respirtion leds to the ccumultion of inctive biomss ( 1 f b ). Rel influents often contin refrctory voltile suspended solids ( i ) tht we cnnot differentite esily from inctive biomss. ( ) V d tedy-stte mss blnce on inert biomss ( 1 fd ) b V + Q( i i ) [ 3. 29] Formtion rte of inert biomss from ctive biomss decy i i concentrtion of inert biomss input concentrtion of inert biomss θ V Q i i + ( 1 f ) bθ [ 3.3] d
37 3.4 Mss Blnces on inert Biomss nd Voltile olides i i + ( 1 f ) bθ [ 3.3] d Influent inert - inert biomss formed from ctive biomss decy -inert biomss represents frction of only the orgnic portion of ctive biomss i By introducing, we re relxing the originl requirement tht only substrte enters the influent. 1+ bθ From 3.25 nd θ θ, Y [ 3.25 ] i ( 1 f ) bθ d + Y ( ) i 1+ bθ
38 3.4 Mximum of inert biomss ( ) i i ( 1 f ) b θ ( ) ( f ) d i + Y 1+ bθ mx i + ( b + θ lim i + Y (1 fd ) 1 b θ θ Y b θ lim i (1 fd) θ ( ) min (1 fd ) from Fig 3.33 min lim mx i i + Y θ
39 3.4 Mss Blnces on inert Biomss nd Voltile olides mx i i + Y ( )(1 fd) min gret ccumultion of inert biomss - tom m i increses monotoniclly from i mximum mx i - Opertion t lrge θ results in greter ccumultion of inert biomss
40 3.4 v: voltile suspended solids concentrtion (V) v i + v : voltile suspended solids concentrtion(v) v i i + + Y ( + (1 (1 + (1 fd) bθ + fd ) b θ ) ) [1 + (1 fd) bθ ] i 1 + bθθ [3.31]
41 3.4 v: voltile suspended solids concentrtion (V) - v generlly follow the trend of, but it does not equl zero; (When goes to zero, v equls i ) - if θ min x < θ x, v i,
42 3.4 Yn: net yield or observed yield (Yobs) from [3.31] + + (1 f b v i d ) Y ( + ) [1 + (1 f θ ) bθ ] d i 1+ b θ i + Y n ( ) < by int uition > Net ccumultion of biomss from ynthesis nd decy. Y 1+ b θ [ 3. 25] Y n : net yield or observed yield (Y obs ) Y n Y 1 + (1 f d ) b 1 + b θ x θ x [3.32] [3.32] is prllel to the reltionship between f s nd f s : f s f 1 + (1 + f d ) b θ b θ x s 1 x [3.33] 33]
43 3.5 oluble Microbil Products MP(soluble microbil products) Much of the soluble orgnic mtter in the effluent from biologicl rector is of microbil origin. It is produced by the microorgnisms s they degrde the orgnic substrte in the influent to the rector. The mjor evidence for this phenomenon comes from experiments ; single soluble substrtes of known composition were fed to microbil cultures nd the resulting orgnic compounds in the effluent were exmined for the presence of the influent substrte. The bulk of the effluent orgnic mtter ws not the originl substrte nd ws of high moleculr weight, suggesting tht it ws of microbil origine. It is clled oluble Microbil Products (MP).
44 3.5 oluble Microbil Products MP: Biodegrdble, lthough some t very low rte : Moderte formul weights(1s to 1s) : The mjority of the effluent COD nd BOD : They cn complex metls, foul membrnes nd cuse color or foming : They re thought to rise from two processes: 1) growth ssocited (UAP), 2) non-growth ssocited (BAP) MP UAP + BAP UAP ( substrte-utiliztion-ssocited products ) growth ssocited they re generted from substrte utiliztion nd biomss growth they re not intermedites of ctbolic pthwys BAP (biomss-ssocited ssocited products ) non-growth ssocited relted to decy nd lysis of cell relese of soluble cellulr constituents through lysis nd solubiliztion of prticulte cellulr components
45 3.5 MP vs. EP - MP chool focuses on i) MP, ii) ctive biomss nd iii) inert biomss, but does not include EP. - EP chool focuses on i) EP (soluble nd bound) nd ii) ctive biomss, but does not include MP. - Compred to other spects of biochemicl opertions, little reserch hs been done on the production nd fte of soluble microbil products. o little is known bout the chrcteristics of UAP nd BAP.
46 3.5 UAP nd BAP formtion kinetics - UAP formtion kinetics : r UAP - k 1 r ut r rte of UAP-formtion (MpL -3 T -1 UAP ) k 1 UAP- formtion coefficient (MpM -1 s ) - BAP formtion kinetics : r BAP k 2 r BAP rte of BAP-formtion (MpL -3 T -1 ) 1 k 2 BAP- formtion coefficient (MpMx -1 )
47 3.5 oluble Microbil Products Exmple 3.3 Effluent BOD 5 The BOD exertion eqution : BOD BOD (1- exp{ - kt}) t BOD L L - BOD L exp{ - kt} BOD5 : BODL 1exp{ k 5d} [3.41] [3.42] k BOD 5 :BOD L rtio originl substrte.23/d.68 ctive biomss.1/d.4 MP.3/d.14
48 3.6 Nutrients nd Electron Acceptors Biotechnologicl i l Process must provide sufficient i nutrients ti t nd electron cceptors to support biomss growth nd energy genertion. Nutrients, being elements comprising the physicl structure of the cells, re needed in proportion to the net production of biomss. Active nd inert biomss contin nutrients, s long s they re produced microbiologiclly. e - cceptor is consumed in proportion to e - donor utiliztion multiplied by the sum of exogenous nd endogenous flows of e - to the terminl cceptor.
49 3.6 How to determine nutrient requirements - Nutrients re needed in proportion to the net production of biomss (r ut Y n ) - In chemostt model, rte of nutrients consumption (r n ) r n γ γ n n r r ut ut Yn Y 1 + (1 1 Y (M x M s -1 ) + f d ) bθ x bθ x [3.43 ] r n rte of nutrient consumption (M n L -3 T -1 ) (negtive vlue) γ -1 n the stochiometric rtio of nutrient mss to V for the biomss [M n M x ] γ N 14g N/113g cell V.124g N/g V < C 5 H 7 O 2 N > γ P 2*.2 γ N 25gP/gV (1 1 + f d ) b θ x b θ x [ Yn Y x ] [ ]
50 3.6 Nutrient requirements - Overll mss blnce QC n QC n + r n V [3.44 ] C n C n + rnθθ [3.45 ] C n : Influent concentrtion of nutrient ( M -3 n L ) C n : Effluent concentrtion of nutrient ( M n L -3 ) r n : rte of nutrient consumption (M n L -3 T -1 ) (negtive vlue) * The supply of nutrients must be supplemented if C n is negtive in eq 3.45.
51 3.6 Use rte of Electron Acceptors Use rte of electron cceptor [Δ / Δ t (M T -1 )] - mss blnce on electron equivlents expressed s oxygen demnd (OD) gcod OD inputs Q v Q [3.46] ee tble 2.1 gv gcod ODoutputs Q + Q( MP) v Q [3.47] gv - the cceptor consumption s O 2 equivlents, Δ / Δ t OD inputs OD outputs Δ Δtt γ Q [ MP ( )] [3.48] γ 1g O 2 /g COD for oxygen γ.35g NO 3- - N/g COD for NO 3- -N γ 3 3 O 2 (32g) + 4 e - 2 O -2 NO 3 - (14g) + 5 e - N v v 14g NO 3 N /5e - / 32g O 2 /4e -.35 g NO 3 N / g O 2
52 3.6 Amoumt of e - cceptors to be supplied - the cceptor cn be supplied in the influent flow or by other mens, such s ertion to provide oxygen ( ). Δ Δ t Q R [ ] + R [3.49 ] Acceptor consumption rte R: the required mss rte of cceptor supply (M T -1 ) : Influent concentrtion of e - cceptor ( M L -3 ) : effluent concentrtion of e - cceptor ( M L -3 )
53 3.7 Input Active Biomss - Three circumstnces for inputs of ctive biomss in degrdtion of the substrte : When processes re operted in series, the downstrem process often receives biomss from the upstrem process. Microorgnisms my be dischrged in wste strem or grown in the sewers. Biougmenttion is the deliberte ddition of microorgnisms to improve performnce. - When ctive biomss is input, the stedy-stte mss blnce for ctive biomss (3.16), must be modified. qˆ q Y V b V Q K + [ ] q ˆ Q Q + Y V b V K + [3.5 ]
54 3.7 Input Active Biomss Q Q q ˆ + Y K + b [3.5 ] Eq 3.5 cn be solved for when ctive biomss is input, + b θ K Y q ˆ θ + 1 x x V ( 1 b θ ) x V [ 3.51 ] The solution for s (eq 3.51) is exctly the sme s eq 3.24, K 1+ bθ Yqˆ θ ( 1+ bθ ) [ ] but the θ x is now redefined. - When the RT is redefined s the reciprocl of the net specific growth rte, θ x 1 V μ Q Q [3.52 ]
55 3.7 HOW does ffect nd wshout? -, wshout occurs for θ x of bout.6 d. - As Increses, complete wshout is eliminted, becuse the rector lwys contins some biomss. - Incresing, lso mkes lower, nd the effect is most drmtic ner wshout.
56 3.7 Input Active Biomss For biomss, Q For substrte, Q qˆ K + V q ˆ + Y K + + Q V b V ( ) [ 3. 17] For inert, ( 1 f ) b V + Q( ) [ 3. 29] d i i [3.5 ] v i + (1 + (1 fd) bθ ) Due to the chnge in definition of θx, solutions of the mss blnces differ. θ θ x Y ( ) b θ x [3.53 ] i i + (1 f d ) b θ [3.54] v i + i + (1 + (1 f d ) bθ ) [3.55] When, v i + (1 + (1 fd) bθ ) [3.31]
57 3.7 Input Active Biomss Due to the chnge in definition of θx, solutions of the mss blnces differ. θ x 1 Y ( ) [3.53 ] θ 1 + b θ x θx/θ rtio represents the build up of ctive biomss by the input. Rerrnging Eq. 3.52, θ θ x < : θ x > θ / - > : θ x is negtive. [3.56 ] The net biomss decy which mkes the stedy-stte μ negtive nd sustin < min. If θx is negtive, < min from eqs below 1 + bθ K Yq ˆθ ( 1 + bθ ) 1/ θ + b K Yqˆ 1/ θ b min lim θ x b K Yqˆ b 1/ θ + b K Yqq ˆ 1/ θ b /
58 3.8 Hydrolysis of Prticulte nd Polymeric ubstrtes Orgnic substrte of prticles (lrge polymers) - Orgnic substrtes t tht t originte i s prticles or lrge polymer tke importnt ppliction in environmentl biotechnology Effect of hydrolysis - Before the bcteri cn begin the oxidtion rection, the prticles or lrge polymers must be hydrolyzed to smller molecules - Extrcellulr enzymes ctlyze these hydrolysis rection - Hydrolysis kinetics is not settled, becuse the hydrolytic enzymes re not necessrily ssocited with or proportionl to the ctive biomss -level of hydrolytic enzymes is not estblished, nd mesurement is neither simple
59 3.8 Hydrolysis of Prticulte nd Polymeric ubstrtes Hydrolysis of kinetics - Relible pproch is first-order reltionship r k hyd hyd p [3.57] * r hyd : rte of ccumultion of prticulte substrte due to hydrolysis (M s L -3 T -1 ) * p : concentrtion of the prticulte (or lrge-polymer) substrte (M s L -3 ) * k :firstorder -1 hyd first-order hydrolysis rte coefficient (T ) - k hyd is proportionl to the concentrtion of hydrolytic enzymes s well s to the intrinsic hydrolysis kinetics of the enzymes - some reserchers include the ctive biomss concentrtion s prt of k hyd ' ' k hyd k ( k specific hydrolysis rte coefficient) i hyd hyd
60 3.8 Hydrolysis of Prticulte nd Polymeric ubstrtes - When Eqution 3.57 is used, the stedy-stte mss blnce on prticulte substrte V r ut + Q( ) [3.14] Q( p P p ) k hyd p V [3.58] p p 1 + k hyd θ [3.59] - θ represent the liquid detention time nd should not be substituted by θ x
61 3.8 Hydrolysis of Prticulte nd Polymeric ubstrtes The stedy-stte mss blnce on soluble substrte - The stedy-stte mss blnce on substrte q ˆ V + Q ( ) [3.17] K + - The stedy-stte mss blnce on soluble substrte ( ) q ˆ K + V / Q + k hyd p V / Q [3.6] * effectively is incresed by k V Q hyd p /
62 3.8 Hydrolysis of Prticulte nd Polymeric ubstrtes Other constituents of prticulte substrte lso re conserved during hydrolysis - Good exmples of prticulte substrte : the nutrient nitrogen, phosphte, r hydn γ k n hyd p [3.61] sulfur * r hydn : rte of ccumultion of soluble form of nutrient n by hydrolysis (M -3-1 n L T ) γ n M n M * : stoichiometric rtio of nutrient n in the prticulte substrte( ) s1
63 3.8 Hydrolysis of Prticulte nd Polymeric ubstrtes Exmple 3.6
64 3.8 Hydrolysis of Prticulte nd Polymeric ubstrtes Y of csein (pp. 17) ( 1 θ x Y ) 1+ bθ θ x [3.53] i i + (1 f d ) bθ [3.54] v i + [ 3.55] v i + + p [3.55]' 1 2 COD /weight the conversion fctor (pp. 129, 181) 3 The biodegrdble frction.8 (pp. 171)
CHEMICAL KINETICS
CHEMICAL KINETICS Long Answer Questions: 1. Explin the following terms with suitble exmples ) Averge rte of Rection b) Slow nd Fst Rections c) Order of Rection d) Moleculrity of Rection e) Activtion Energy
More informationModule 2: Rate Law & Stoichiomtery (Chapter 3, Fogler)
CHE 309: Chemicl Rection Engineering Lecture-8 Module 2: Rte Lw & Stoichiomtery (Chpter 3, Fogler) Topics to be covered in tody s lecture Thermodynmics nd Kinetics Rection rtes for reversible rections
More informationFig. 1. Open-Loop and Closed-Loop Systems with Plant Variations
ME 3600 Control ystems Chrcteristics of Open-Loop nd Closed-Loop ystems Importnt Control ystem Chrcteristics o ensitivity of system response to prmetric vritions cn be reduced o rnsient nd stedy-stte responses
More information13: Diffusion in 2 Energy Groups
3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups
More informationRates of chemical reactions
Rtes of chemicl rections Mesuring rtes of chemicl rections Experimentl mesuring progress of the rection Monitoring pressure in the rection involving gses 2 NO( g) 4 NO ( g) + O ( g) 2 5 2 2 n(1 α) 2αn
More informationCBE 291b - Computation And Optimization For Engineers
The University of Western Ontrio Fculty of Engineering Science Deprtment of Chemicl nd Biochemicl Engineering CBE 9b - Computtion And Optimiztion For Engineers Mtlb Project Introduction Prof. A. Jutn Jn
More informationApplications of Bernoulli s theorem. Lecture - 7
Applictions of Bernoulli s theorem Lecture - 7 Prcticl Applictions of Bernoulli s Theorem The Bernoulli eqution cn be pplied to gret mny situtions not just the pipe flow we hve been considering up to now.
More informationUNIVERSITY OF MALTA DEPARTMENT OF CHEMISTRY. CH237 - Chemical Thermodynamics and Kinetics. Tutorial Sheet VIII
UNIVERSITY OF MALTA DEPARTMENT OF CHEMISTRY CH237 - Chemicl Thermodynmics nd Kinetics Tutoril Sheet VIII 1 () (i) The rte of the rection A + 2B 3C + D ws reported s 1.0 mol L -1 s -1. Stte the rtes of
More informationState space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies
Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response
More informationSUMMER KNOWHOW STUDY AND LEARNING CENTRE
SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18
More informationFundamentals of Analytical Chemistry
Homework Fundmentls of nlyticl hemistry hpter 9 0, 1, 5, 7, 9 cids, Bses, nd hpter 9(b) Definitions cid Releses H ions in wter (rrhenius) Proton donor (Bronsted( Lowry) Electron-pir cceptor (Lewis) hrcteristic
More information4. CHEMICAL KINETICS
4. CHEMICAL KINETICS Synopsis: The study of rtes of chemicl rections mechnisms nd fctors ffecting rtes of rections is clled chemicl kinetics. Spontneous chemicl rection mens, the rection which occurs on
More informationConservation Law. Chapter Goal. 5.2 Theory
Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very
More informationProperties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives
Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn
More informationCHAPTER 08: MONOPROTIC ACID-BASE EQUILIBRIA
Hrris: Quntittive Chemicl Anlysis, Eight Edition CHAPTER 08: MONOPROTIC ACIDBASE EQUILIBRIA CHAPTER 08: Opener A CHAPTER 08: Opener B CHAPTER 08: Opener C CHAPTER 08: Opener D CHAPTER 08: Opener E Chpter
More informationReview of basic calculus
Review of bsic clculus This brief review reclls some of the most importnt concepts, definitions, nd theorems from bsic clculus. It is not intended to tech bsic clculus from scrtch. If ny of the items below
More informationThe Thermodynamics of Aqueous Electrolyte Solutions
18 The Thermodynmics of Aqueous Electrolyte Solutions As discussed in Chpter 10, when slt is dissolved in wter or in other pproprite solvent, the molecules dissocite into ions. In queous solutions, strong
More informationMath 8 Winter 2015 Applications of Integration
Mth 8 Winter 205 Applictions of Integrtion Here re few importnt pplictions of integrtion. The pplictions you my see on n exm in this course include only the Net Chnge Theorem (which is relly just the Fundmentl
More informationUNIT 1 FUNCTIONS AND THEIR INVERSES Lesson 1.4: Logarithmic Functions as Inverses Instruction
Lesson : Logrithmic Functions s Inverses Prerequisite Skills This lesson requires the use of the following skills: determining the dependent nd independent vribles in n exponentil function bsed on dt from
More informationNumerical Analysis: Trapezoidal and Simpson s Rule
nd Simpson s Mthemticl question we re interested in numericlly nswering How to we evlute I = f (x) dx? Clculus tells us tht if F(x) is the ntiderivtive of function f (x) on the intervl [, b], then I =
More informationI1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3
2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is
More informationOperations with Polynomials
38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: How to identify the leding coefficients nd degrees of polynomils How to dd nd subtrct polynomils How to multiply polynomils
More informationDefinition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim
Mth 9 Course Summry/Study Guide Fll, 2005 [1] Limits Definition of Limit: We sy tht L is the limit of f(x) s x pproches if f(x) gets closer nd closer to L s x gets closer nd closer to. We write lim f(x)
More informationReview of Calculus, cont d
Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some
More informationNon-Linear & Logistic Regression
Non-Liner & Logistic Regression If the sttistics re boring, then you've got the wrong numbers. Edwrd R. Tufte (Sttistics Professor, Yle University) Regression Anlyses When do we use these? PART 1: find
More informationMATHS NOTES. SUBJECT: Maths LEVEL: Higher TEACHER: Aidan Roantree. The Institute of Education Topics Covered: Powers and Logs
MATHS NOTES The Institute of Eduction 06 SUBJECT: Mths LEVEL: Higher TEACHER: Aidn Rontree Topics Covered: Powers nd Logs About Aidn: Aidn is our senior Mths techer t the Institute, where he hs been teching
More informationELE B7 Power Systems Engineering. Power System Components Modeling
Power Systems Engineering Power System Components Modeling Section III : Trnsformer Model Power Trnsformers- CONSTRUCTION Primry windings, connected to the lternting voltge source; Secondry windings, connected
More information4.4 Areas, Integrals and Antiderivatives
. res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order
More information1. Weak acids. For a weak acid HA, there is less than 100% dissociation to ions. The B-L equilibrium is:
th 9 Homework: Reding, M&F, ch. 15, pp. 584-598, 602-605 (clcultions of ph, etc., for wek cids, wek bses, polyprotic cids, nd slts; fctors ffecting cid strength). Problems: Nkon, ch. 18, #1-10, 16-18,
More informationMeasuring Electron Work Function in Metal
n experiment of the Electron topic Mesuring Electron Work Function in Metl Instructor: 梁生 Office: 7-318 Emil: shling@bjtu.edu.cn Purposes 1. To understnd the concept of electron work function in metl nd
More informationThe Regulated and Riemann Integrals
Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue
More informationPart I: Basic Concepts of Thermodynamics
Prt I: Bsic Concepts o Thermodynmics Lecture 4: Kinetic Theory o Gses Kinetic Theory or rel gses 4-1 Kinetic Theory or rel gses Recll tht or rel gses: (i The volume occupied by the molecules under ordinry
More informationADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS
ADVANCEMENT OF THE CLOSELY COUPLED PROBES POTENTIAL DROP TECHNIQUE FOR NDE OF SURFACE CRACKS F. Tkeo 1 nd M. Sk 1 Hchinohe Ntionl College of Technology, Hchinohe, Jpn; Tohoku University, Sendi, Jpn Abstrct:
More informationLecture 6: Diffusion and Reaction kinetics
Lecture 6: Diffusion nd Rection kinetics 1-1-1 Lecture pln: diffusion thermodynmic forces evolution of concentrtion distribution rection rtes nd methods to determine them rection mechnism in terms of the
More informationMATH 144: Business Calculus Final Review
MATH 144: Business Clculus Finl Review 1 Skills 1. Clculte severl limits. 2. Find verticl nd horizontl symptotes for given rtionl function. 3. Clculte derivtive by definition. 4. Clculte severl derivtives
More informationName Class Date. Match each phrase with the correct term or terms. Terms may be used more than once.
Exercises 341 Flow of Chrge (pge 681) potentil difference 1 Chrge flows when there is between the ends of conductor 2 Explin wht would hppen if Vn de Grff genertor chrged to high potentil ws connected
More informationConsequently, the temperature must be the same at each point in the cross section at x. Let:
HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the
More informationRel Gses 1. Gses (N, CO ) which don t obey gs lws or gs eqution P=RT t ll pressure nd tempertures re clled rel gses.. Rel gses obey gs lws t extremely low pressure nd high temperture. Rel gses devited
More information( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that
Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we
More informationCh. 24 Molecular Reaction Dynamics 1. Collision Theory 2. Diffusion-Controlled Reaction
Ch. 4 Moleculr Rection Dynmics 1. Collision Theory. Diffusion-Controlle Rection Lecture 17 3. The Mteril Blnce Eqution 4. Trnsition Stte Theory: The Eyring Eqution 5. Trnsition Stte Theory: Thermoynmic
More informationThe Predom module. Predom calculates and plots isothermal 1-, 2- and 3-metal predominance area diagrams. Predom accesses only compound databases.
Section 1 Section 2 The module clcultes nd plots isotherml 1-, 2- nd 3-metl predominnce re digrms. ccesses only compound dtbses. Tble of Contents Tble of Contents Opening the module Section 3 Stoichiometric
More informationIntro to Nuclear and Particle Physics (5110)
Intro to Nucler nd Prticle Physics (5110) Feb, 009 The Nucler Mss Spectrum The Liquid Drop Model //009 1 E(MeV) n n(n-1)/ E/[ n(n-1)/] (MeV/pir) 1 C 16 O 0 Ne 4 Mg 7.7 14.44 19.17 8.48 4 5 6 6 10 15.4.41
More informationu( t) + K 2 ( ) = 1 t > 0 Analyzing Damped Oscillations Problem (Meador, example 2-18, pp 44-48): Determine the equation of the following graph.
nlyzing Dmped Oscilltions Prolem (Medor, exmple 2-18, pp 44-48): Determine the eqution of the following grph. The eqution is ssumed to e of the following form f ( t) = K 1 u( t) + K 2 e!"t sin (#t + $
More informationDIRECT CURRENT CIRCUITS
DRECT CURRENT CUTS ELECTRC POWER Consider the circuit shown in the Figure where bttery is connected to resistor R. A positive chrge dq will gin potentil energy s it moves from point to point b through
More information+ x 2 dω 2 = c 2 dt 2 +a(t) [ 2 dr 2 + S 1 κx 2 /R0
Notes for Cosmology course, fll 2005 Cosmic Dynmics Prelude [ ds 2 = c 2 dt 2 +(t) 2 dx 2 ] + x 2 dω 2 = c 2 dt 2 +(t) [ 2 dr 2 + S 1 κx 2 /R0 2 κ (r) 2 dω 2] nd x = S κ (r) = r, R 0 sin(r/r 0 ), R 0 sinh(r/r
More informationThe steps of the hypothesis test
ttisticl Methods I (EXT 7005) Pge 78 Mosquito species Time of dy A B C Mid morning 0.0088 5.4900 5.5000 Mid Afternoon.3400 0.0300 0.8700 Dusk 0.600 5.400 3.000 The Chi squre test sttistic is the sum of
More information3.2.2 Kinetics. Maxwell Boltzmann distribution. 128 minutes. 128 marks. Page 1 of 12
3.. Kinetics Mxwell Boltzmnn distribution 8 minutes 8 mrks Pge of M. () M On the energy xis E mp t the mximum of the originl pek M The limits for the horizontl position of E mp re defined s bove the word
More informationThe First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).
The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples
More informationARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac
REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b
More informationThe momentum of a body of constant mass m moving with velocity u is, by definition, equal to the product of mass and velocity, that is
Newtons Lws 1 Newton s Lws There re three lws which ber Newton s nme nd they re the fundmentls lws upon which the study of dynmics is bsed. The lws re set of sttements tht we believe to be true in most
More informationContinuous Random Variables
STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 217 Néhémy Lim Continuous Rndom Vribles Nottion. The indictor function of set S is rel-vlued function defined by : { 1 if x S 1 S (x) if x S Suppose tht
More informationDesigning Information Devices and Systems I Discussion 8B
Lst Updted: 2018-10-17 19:40 1 EECS 16A Fll 2018 Designing Informtion Devices nd Systems I Discussion 8B 1. Why Bother With Thévenin Anywy? () Find Thévenin eqiuvlent for the circuit shown elow. 2kΩ 5V
More information1 Probability Density Functions
Lis Yn CS 9 Continuous Distributions Lecture Notes #9 July 6, 28 Bsed on chpter by Chris Piech So fr, ll rndom vribles we hve seen hve been discrete. In ll the cses we hve seen in CS 9, this ment tht our
More informationMATH SS124 Sec 39 Concepts summary with examples
This note is mde for students in MTH124 Section 39 to review most(not ll) topics I think we covered in this semester, nd there s exmples fter these concepts, go over this note nd try to solve those exmples
More informationSection 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40
Mth B Prof. Audrey Terrs HW # Solutions by Alex Eustis Due Tuesdy, Oct. 9 Section 5. #7,, 6,, 5; Section 5. #8, 9, 5,, 7, 3; Section 5.3 #4, 6, 9, 3, 6, 8, 3; Section 5.4 #7, 8,, 3, 5, 9, 4 5..7 Since
More informationFirst Law of Thermodynamics. Control Mass (Closed System) Conservation of Mass. Conservation of Energy
First w of hermodynmics Reding Problems 3-3-7 3-0, 3-5, 3-05 5-5- 5-8, 5-5, 5-9, 5-37, 5-0, 5-, 5-63, 5-7, 5-8, 5-09 6-6-5 6-, 6-5, 6-60, 6-80, 6-9, 6-, 6-68, 6-73 Control Mss (Closed System) In this section
More information3.1 Exponential Functions and Their Graphs
. Eponentil Functions nd Their Grphs Sllbus Objective: 9. The student will sketch the grph of eponentil, logistic, or logrithmic function. 9. The student will evlute eponentil or logrithmic epressions.
More informationFe = Fe + e MnO + 8H + 5e = Mn
Redox Titrtions Net trnsfer of electrons during the rection. xidtion numbers of two/more species chnge. Stisfies requirements for rections in quntittion;. lrge K b. fst rection Blncing redox rections:
More informationW. We shall do so one by one, starting with I 1, and we shall do it greedily, trying
Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)
More informationRiemann Sums and Riemann Integrals
Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 203 Outline Riemnn Sums Riemnn Integrls Properties Abstrct
More informationNew Expansion and Infinite Series
Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University
More informationMA 124 January 18, Derivatives are. Integrals are.
MA 124 Jnury 18, 2018 Prof PB s one-minute introduction to clculus Derivtives re. Integrls re. In Clculus 1, we lern limits, derivtives, some pplictions of derivtives, indefinite integrls, definite integrls,
More informationHow can we approximate the area of a region in the plane? What is an interpretation of the area under the graph of a velocity function?
Mth 125 Summry Here re some thoughts I ws hving while considering wht to put on the first midterm. The core of your studying should be the ssigned homework problems: mke sure you relly understnd those
More informationTerminal Velocity and Raindrop Growth
Terminl Velocity nd Rindrop Growth Terminl velocity for rindrop represents blnce in which weight mss times grvity is equl to drg force. F 3 π3 ρ L g in which is drop rdius, g is grvittionl ccelertion,
More informationA. Limits - L Hopital s Rule ( ) How to find it: Try and find limits by traditional methods (plugging in). If you get 0 0 or!!, apply C.! 1 6 C.
A. Limits - L Hopitl s Rule Wht you re finding: L Hopitl s Rule is used to find limits of the form f ( x) lim where lim f x x! c g x ( ) = or lim f ( x) = limg( x) = ". ( ) x! c limg( x) = 0 x! c x! c
More informationFast Feedback Reactivity Effects
SUPPLEMENT TO CHAPTER 12 OF REACTOR PHYSICS FUNDAMENTALS This supplement summrizes some key physics principles in the text nd expnds on the mthemticl tretment. You should be milir with the text mteril
More informationLesson 1: Quadratic Equations
Lesson 1: Qudrtic Equtions Qudrtic Eqution: The qudrtic eqution in form is. In this section, we will review 4 methods of qudrtic equtions, nd when it is most to use ech method. 1. 3.. 4. Method 1: Fctoring
More informationConservation Law. Chapter Goal. 6.2 Theory
Chpter 6 Conservtion Lw 6.1 Gol Our long term gol is to unerstn how mthemticl moels re erive. Here, we will stuy how certin quntity chnges with time in given region (sptil omin). We then first erive the
More informationThe effect of incomplete mixing upon the performance of a membrane-coupled anaerobic fermentor
University of Wollongong Reserch Online Fculty of Informtics - Ppers (Archive) Fculty of Engineering nd Informtion Sciences 0 The effect of incomplete mixing upon the performnce of membrne-coupled nerobic
More informationModule 6: LINEAR TRANSFORMATIONS
Module 6: LINEAR TRANSFORMATIONS. Trnsformtions nd mtrices Trnsformtions re generliztions of functions. A vector x in some set S n is mpped into m nother vector y T( x). A trnsformtion is liner if, for
More informationapproaches as n becomes larger and larger. Since e > 1, the graph of the natural exponential function is as below
. Eponentil nd rithmic functions.1 Eponentil Functions A function of the form f() =, > 0, 1 is clled n eponentil function. Its domin is the set of ll rel f ( 1) numbers. For n eponentil function f we hve.
More informationNUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.
NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with
More informationMath 116 Calculus II
Mth 6 Clculus II Contents 5 Exponentil nd Logrithmic functions 5. Review........................................... 5.. Exponentil functions............................... 5.. Logrithmic functions...............................
More informationINTRODUCTION. The three general approaches to the solution of kinetics problems are:
INTRODUCTION According to Newton s lw, prticle will ccelerte when it is subjected to unblnced forces. Kinetics is the study of the reltions between unblnced forces nd the resulting chnges in motion. The
More informationSummary of equations chapters 7. To make current flow you have to push on the charges. For most materials:
Summry of equtions chpters 7. To mke current flow you hve to push on the chrges. For most mterils: J E E [] The resistivity is prmeter tht vries more thn 4 orders of mgnitude between silver (.6E-8 Ohm.m)
More informationdifferent methods (left endpoint, right endpoint, midpoint, trapezoid, Simpson s).
Mth 1A with Professor Stnkov Worksheet, Discussion #41; Wednesdy, 12/6/217 GSI nme: Roy Zho Problems 1. Write the integrl 3 dx s limit of Riemnn sums. Write it using 2 intervls using the 1 x different
More informationPsychrometric Applications
Psychrometric Applictions The reminder of this presenttion centers on systems involving moist ir. A condensed wter phse my lso be present in such systems. The term moist irrefers to mixture of dry ir nd
More informationChapter 5 : Continuous Random Variables
STAT/MATH 395 A - PROBABILITY II UW Winter Qurter 216 Néhémy Lim Chpter 5 : Continuous Rndom Vribles Nottions. N {, 1, 2,...}, set of nturl numbers (i.e. ll nonnegtive integers); N {1, 2,...}, set of ll
More informationHydronium or hydroxide ions can also be produced by a reaction of certain substances with water:
Chpter 14 1 ACIDS/BASES Acids hve tste, rect with most metls to produce, rect with most crbontes to produce, turn litmus nd phenolphthlein. Bses hve tste rect very well well with most metls or crbontes,
More informationImproper Integrals, and Differential Equations
Improper Integrls, nd Differentil Equtions October 22, 204 5.3 Improper Integrls Previously, we discussed how integrls correspond to res. More specificlly, we sid tht for function f(x), the region creted
More information9-1 (a) A weak electrolyte only partially ionizes when dissolved in water. NaHCO 3 is an
Chpter 9 9- ( A ek electrolyte only prtilly ionizes hen dissolved in ter. NC is n exmple of ek electrolyte. (b A Brønsted-ory cid is cule tht dontes proton hen it encounters bse (proton cceptor. By this
More informationCHM Physical Chemistry I Chapter 1 - Supplementary Material
CHM 3410 - Physicl Chemistry I Chpter 1 - Supplementry Mteril For review of some bsic concepts in mth, see Atkins "Mthemticl Bckground 1 (pp 59-6), nd "Mthemticl Bckground " (pp 109-111). 1. Derivtion
More informationChapter 1: Fundamentals
Chpter 1: Fundmentls 1.1 Rel Numbers Types of Rel Numbers: Nturl Numbers: {1, 2, 3,...}; These re the counting numbers. Integers: {... 3, 2, 1, 0, 1, 2, 3,...}; These re ll the nturl numbers, their negtives,
More informationMath Calculus with Analytic Geometry II
orem of definite Mth 5.0 with Anlytic Geometry II Jnury 4, 0 orem of definite If < b then b f (x) dx = ( under f bove x-xis) ( bove f under x-xis) Exmple 8 0 3 9 x dx = π 3 4 = 9π 4 orem of definite Problem
More informationBefore we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!!
Nme: Algebr II Honors Pre-Chpter Homework Before we cn begin Ch on Rdicls, we need to be fmilir with perfect squres, cubes, etc Try nd do s mny s you cn without clcultor!!! n The nth root of n n Be ble
More informationScientific notation is a way of expressing really big numbers or really small numbers.
Scientific Nottion (Stndrd form) Scientific nottion is wy of expressing relly big numbers or relly smll numbers. It is most often used in scientific clcultions where the nlysis must be very precise. Scientific
More informationRiemann Sums and Riemann Integrals
Riemnn Sums nd Riemnn Integrls Jmes K. Peterson Deprtment of Biologicl Sciences nd Deprtment of Mthemticl Sciences Clemson University August 26, 2013 Outline 1 Riemnn Sums 2 Riemnn Integrls 3 Properties
More informationThe graphs of Rational Functions
Lecture 4 5A: The its of Rtionl Functions s x nd s x + The grphs of Rtionl Functions The grphs of rtionl functions hve severl differences compred to power functions. One of the differences is the behvior
More informationVadose Zone Hydrology
Objectives Vdose Zone Hydrology 1. Review bsic concepts nd terminology of soil physics. 2. Understnd the role of wter-tble dynmics in GW-SW interction. Drcy s lw is useful in region A. Some knowledge of
More informationPrecalculus Spring 2017
Preclculus Spring 2017 Exm 3 Summry (Section 4.1 through 5.2, nd 9.4) Section P.5 Find domins of lgebric expressions Simplify rtionl expressions Add, subtrct, multiply, & divide rtionl expressions Simplify
More informationMinimum Energy State of Plasmas with an Internal Transport Barrier
Minimum Energy Stte of Plsms with n Internl Trnsport Brrier T. Tmno ), I. Ktnum ), Y. Skmoto ) ) Formerly, Plsm Reserch Center, University of Tsukub, Tsukub, Ibrki, Jpn ) Plsm Reserch Center, University
More information13.4 Work done by Constant Forces
13.4 Work done by Constnt Forces We will begin our discussion of the concept of work by nlyzing the motion of n object in one dimension cted on by constnt forces. Let s consider the following exmple: push
More informationMath 1B, lecture 4: Error bounds for numerical methods
Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the
More informationImproper Integrals. Type I Improper Integrals How do we evaluate an integral such as
Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph
More informationChapter 16 Acid Base Equilibria
Chpter 16 Acid Bse Equilibri 16.1 Acids & Bses: A Brief Review Arrhenius cids nd bses: cid: n H + donor HA(q) H(q) A(q) bse: n OH donor OH(q) (q) OH(q) Brønsted Lowry cids nd bses: cid: n H + donor HA(q)
More informationP 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)
1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this
More informationthan 1. It means in particular that the function is decreasing and approaching the x-
6 Preclculus Review Grph the functions ) (/) ) log y = b y = Solution () The function y = is n eponentil function with bse smller thn It mens in prticulr tht the function is decresing nd pproching the
More informationPhysics 201 Lab 3: Measurement of Earth s local gravitational field I Data Acquisition and Preliminary Analysis Dr. Timothy C. Black Summer I, 2018
Physics 201 Lb 3: Mesurement of Erth s locl grvittionl field I Dt Acquisition nd Preliminry Anlysis Dr. Timothy C. Blck Summer I, 2018 Theoreticl Discussion Grvity is one of the four known fundmentl forces.
More information1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation
1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview
More informationCHAPTER 3. Microbial Kinetics
CHAPTER 3. Mcrol Knetcs 3.Mcrol Knetcs Mcroorgnsms fuel ther lves y performng redox recton tht generte the energy nd reducng power needed to mntn nd construct themselves. Becuse redox rectons re nerly
More information