CIVE322 BASIC HYDROLOGY Hydrologic Science and Engineering Civil and Environmental Engineering Department Fort Collins, CO (970)

Size: px
Start display at page:

Download "CIVE322 BASIC HYDROLOGY Hydrologic Science and Engineering Civil and Environmental Engineering Department Fort Collins, CO (970)"

Transcription

1 CVE322 BASC HYDROLOGY Hydrologic Scic ad Egirig Civil ad Evirotal Egirig Dpartt Fort Collis, CO ( MDERM EXAM 1 NO. 1 Moday, Octobr 3, :00-8:50 AM Haod Auditoriu You ay ot cosult ay books, ots, or iaiat rfrcs. You ay ot cosult with aothr prso. You ay ot copy aothr studt s solutios. h work that you tur i ust b your ow work ad b a host rprstatio of your udrstadig of th subjct attr. PROBLEM 1 Dfi, list, aswr, ad/or xplai th followig: a Dfi th hydrologic cycl ad its ai copots. b Dfi partial prssur ad prcipitabl watr. c Dfi itrcptio ad dprssio storag. d Dfi ffctiv prcipitatio. PROBLEM 2 h prcipitatio obsrvatio twork of a giv basi is coposd of 3 gaugs. h followig total prcipitatio aouts wr obsrvd at two of th thr gaugig statios i this basi for a stor of 12 hours duratio. Gaug Stor Prcipitatio (c Distac to Gaug X (k Gaug Ara of fluc (k 2 A B X a b c Us th vrs Distac Squard (DW thod to stiat th prcipitatio aout for statio X. Us th hiss polygos thod to dtri th a aral prcipitatio ovr th tir basi. Obsrv that you d to kow th prcipitatio at statio X for this. Dtri th total volu of watr dpositd by this stor o this basi. PROBLEM 3 A ass of oist air of dpth 2000 has th followig costat proprtis: tpratur of 290 K, prssur of 100,000 Pa, a watr vapor prssur of Pa, ad a ixig ratio of w Coput th followig quatitis for this air ass: a dry air dsity; b oist air dsity; c absolut huidity; d prcipitabl watr i both uits of ass pr uit ara ad volu pr uit ara. PROBLEM 4 A giv prcipitatio vt fallig o th Egirig parkig lot has a aual probability of xcdac of 0.2. a What is th avrag ubr of yars btw occurrcs of such a vt? b f th swr syst of th lot has a dsig lif of 10 yars, what is th risk of failur ovr th dsig lif of th swr syst corrspodig to this vt? 1 Hoor Pldg: pldg that hav ot giv, rcivd, or usd ay uauthorizd assistac.

2 Hydrologic Budgt Equatios O ds dt S 2 t 2 ds dt O dt t 2 S 1 t 1 t 1 CVE322 BASC HYDROLOGY ρ Saturatio vapor prssur Hydrologic Scic ad Egirig Civil ad Evirotal Egirig Dpartt Fort Collis, CO ( p ( p s ( 611xp[ L v ( ] ΔS s P + R 1 R 2 + R g E s s ΔS g + G 1 G 2 R g E g g ΔS P + R 1 R 2 + G 1 G 2 (E s + E g ( s + g ΔS P R G E R R 2 R 1 G G 2 G 1 E E s + E g s + g Prcipitatio - Atosphric Moistur dal Gas Law otal prssur p d ρ d ρ v p p d + Hydrostatic quatio - Prssur distributio dp dz ρg; p(z gρ(z dz pratur distributio (z (z o Γ ab (z z o (z p[ (z] p[ (z o ] (z o Dsity of oist air z g Γ ab Liquid watr dsity Costats ρ w 1000 kg c p 1004 c pw 4186 L kg 2.5E06 kg ε Masurs of watr vapor cott Absolut Huidity Mixig ratio w v d ρ v ρ v ρ d ε p ε p 1 org A Raírz

3 Spcific huidity v ρ v ε d + v ρ p Rlativ huidity Prcipitabl watr W 0 r.h. s ( ρ v (zdz 1 g W ρ v (zdz (zρ (zdz 1 g z o 0 z o 0 Prcipitatio Data Aalysis Arithtic Avrag thod p( p(z0 p( p(z o 0 (pdp (pdp 1 g MAP ; 1 hiss Polygos thod sohytal thod MAP ; A i A MAP A i,i+1 A ; DW trpolatio thod Risk Aalysis P x 1 / d 2 ix j / d jx Probability of xcdac i 1 yar: p p Pr[X x] x f X (xdx N,i Δp Risk of failur i 1 yar: p 1 rak +1 R 1 p 1 Risk of failur i yars: R 1 (1 p 1 (1 1 tsity-duratio-frqucy Gubl yp G(x;µ,β 1 x µ x µ β β β X X + K S X 1 S 1 1 x i (x i X 2 K 6 π [ l(l( 1 ] trcptio ad Dprssio Storag trcptio L i P S + KEt Dprssio storag if P S othrwis L i S(1 P /S + KEt V S d (1 P /S d Rat of dprssio storag v P /S d (i f Surfac ruoff rat σ i f v σ i f 1 kp 1 P /S d 2 org A Raírz

4 t t/4 D_,3 + t/4 +t/7 3, 46 cu- b t 4f Vol,tttu S!, to.^ 3 t f 1".+.s + t g2 c^l 45 o*^ - 0.0gb o l6tolttt' l7l1 2do t4 l-d^- t ('- P1 ltr,, ft - 1 -;(.r -_ t r r'" - / -\ 1-/t-0.37t " \ Q"r L ' p / '/ 32/5. 4s 46t.5-27",r f b too^@ t/. slo t. t>1 bi-.l ; r fir, > t.o4 t -'^. ta.os 4 '! h t,h.f l:r,- /ur d1;/- oro t # l.ta.ot L.h toa h 0.Ol$!

5 fru,- 4 f o'' &r1'* y,z/, /ol (ca"r". o.z P. t1' r- f of"o [1 o. Sfza +

ε = R d ρ v ρ d ρ m CIVE322 BASIC HYDROLOGY I O = ds dt e s ( 1 T )] (T ) = 611exp[ L R v = = P + R 1 ΔS s + R g R 2 T s I E s

ε = R d ρ v ρ d ρ m CIVE322 BASIC HYDROLOGY I O = ds dt e s ( 1 T )] (T ) = 611exp[ L R v = = P + R 1 ΔS s + R g R 2 T s I E s CVE3 BSC HYDROOGY Hydrlgc Scc ad Egrg Cvl ad Evrmal Egrg Dparm Fr Clls, CO 853-37 Fall (97 49-76 Hydrlgc Budg Equas O ds d S ds d O d S ΔS s P + R R + R g E s s Saura vapr prssur s ( 6xp[ ( 73.5 ] ε.6

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of

More information

Probability & Statistics,

Probability & Statistics, Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

ME 300 Exam 1 October 9, :30 p.m. to 7:30 p.m.

ME 300 Exam 1 October 9, :30 p.m. to 7:30 p.m. CIRCLE YOUR LECTURE BELOW: First Na Last Na 10:0 a.. 1:0 p.. Naik Gor ME 00 Exa 1 Octobr 9, 014 6:0 p.. to 7:0 p.. INSTRUCTIONS 1. This is a closd book and closd nots xaination. You ar providd with an

More information

Chapter (8) Estimation and Confedence Intervals Examples

Chapter (8) Estimation and Confedence Intervals Examples Chaptr (8) Estimatio ad Cofdc Itrvals Exampls Typs of stimatio: i. Poit stimatio: Exampl (1): Cosidr th sampl obsrvatios, 17,3,5,1,18,6,16,10 8 X i i1 17 3 5 118 6 16 10 116 X 14.5 8 8 8 14.5 is a poit

More information

Washington State University

Washington State University he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us

More information

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions

8(4 m0) ( θ ) ( ) Solutions for HW 8. Chapter 25. Conceptual Questions Solutios for HW 8 Captr 5 Cocptual Qustios 5.. θ dcrass. As t crystal is coprssd, t spacig d btw t plas of atos dcrass. For t first ordr diffractio =. T Bragg coditio is = d so as d dcrass, ust icras for

More information

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2 MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm

More information

APPENDIX: STATISTICAL TOOLS

APPENDIX: STATISTICAL TOOLS I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.

More information

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error.

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error. Drivatio of a Prdictor of Cobiatio # ad th SE for a Prdictor of a Positio i Two Stag Saplig with Rspos Error troductio Ed Stak W driv th prdictor ad its SE of a prdictor for a rado fuctio corrspodig to

More information

PURE MATHEMATICS A-LEVEL PAPER 1

PURE MATHEMATICS A-LEVEL PAPER 1 -AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio

More information

Discrete Fourier Transform (DFT)

Discrete Fourier Transform (DFT) Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial

More information

CHAPTER 4. The First Law of Thermodynamics for Control Volumes

CHAPTER 4. The First Law of Thermodynamics for Control Volumes CHAPTER 4 T Frst Law of Trodynacs for Control olus CONSERATION OF MASS Consrvaton of ass: Mass, lk nrgy, s a consrvd proprty, and t cannot b cratd or dstroyd durng a procss. Closd systs: T ass of t syst

More information

Math Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1)

Math Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1) Math Trcks r! Combato - umbr o was to group r o objcts, ordr ot mportat r! r! ar 0 a r a s costat, 0 < r < k k! k 0 EX E[XX-] + EX Basc Probablt 0 or d Pr[X > ] - Pr[X ] Pr[ X ] Pr[X ] - Pr[X ] Proprts

More information

Atmospheric Thermodynamics

Atmospheric Thermodynamics Atmospheric Thermodynamics Atmospheric Composition What is the composition of the Earth s atmosphere? Gaseous Constituents of the Earth s atmosphere (dry air) Constituent Molecular Weight Fractional Concentration

More information

Fermi Gas. separation

Fermi Gas. separation ri Gas Distiguishabl Idistiguishabl Classical dgrat dd o dsity. If th wavlgth siilar to th saratio tha dgrat ri gas articl h saratio largr traturs hav sallr wavlgth d tightr ackig for dgracy

More information

The Interplay between l-max, l-min, p-max and p-min Stable Distributions

The Interplay between l-max, l-min, p-max and p-min Stable Distributions DOI: 0.545/mjis.05.4006 Th Itrplay btw lma lmi pma ad pmi Stabl Distributios S Ravi ad TS Mavitha Dpartmt of Studis i Statistics Uivrsity of Mysor Maasagagotri Mysuru 570006 Idia. Email:ravi@statistics.uimysor.ac.i

More information

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which? 5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,

More information

Solid State Device Fundamentals

Solid State Device Fundamentals 8 Biasd - Juctio Solid Stat Dvic Fudamtals 8. Biasd - Juctio ENS 345 Lctur Cours by Aladr M. Zaitsv aladr.zaitsv@csi.cuy.du Tl: 718 98 81 4N101b Dartmt of Egirig Scic ad Physics Biasig uiolar smicoductor

More information

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom

Today s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom Today s topic Sttig up th Hydog Ato pobl Hydog ato pobl & Agula Motu Objctiv: to solv Schödig quatio. st Stp: to dfi th pottial fuctio Schatic of Hydog Ato Coulob s aw - Z 4ε 4ε fo H ato Nuclus Z What

More information

DEPARTMENT OF MATHEMATICS BIT, MESRA, RANCHI MA2201 Advanced Engg. Mathematics Session: SP/ 2017

DEPARTMENT OF MATHEMATICS BIT, MESRA, RANCHI MA2201 Advanced Engg. Mathematics Session: SP/ 2017 DEARMEN OF MAEMAICS BI, MESRA, RANCI MA Advad Egg. Mathatis Sssio: S/ 7 MODULE I. Cosidr th two futios f utorial Sht No. -- ad g o th itrval [,] a Show that thir Wroskia W f, g vaishs idtially. b Show

More information

ECE594I Notes set 6: Thermal Noise

ECE594I Notes set 6: Thermal Noise C594I ots, M. odwll, copyrightd C594I Nots st 6: Thrmal Nois Mark odwll Uivrsity of Califoria, ata Barbara rodwll@c.ucsb.du 805-893-344, 805-893-36 fax frcs ad Citatios: C594I ots, M. odwll, copyrightd

More information

Session : Plasmas in Equilibrium

Session : Plasmas in Equilibrium Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog

More information

MILLIKAN OIL DROP EXPERIMENT

MILLIKAN OIL DROP EXPERIMENT 11 Oct 18 Millika.1 MILLIKAN OIL DROP EXPERIMENT This xprimt is dsigd to show th quatizatio of lctric charg ad allow dtrmiatio of th lmtary charg,. As i Millika s origial xprimt, oil drops ar sprayd ito

More information

A Review of Complex Arithmetic

A Review of Complex Arithmetic /0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd

More information

(Reference: sections in Silberberg 5 th ed.)

(Reference: sections in Silberberg 5 th ed.) ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists

More information

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad

More information

ME 300 Thermodynamics II Exam 2 November 13, :00 p.m. 9:00 p.m.

ME 300 Thermodynamics II Exam 2 November 13, :00 p.m. 9:00 p.m. ME 300 Therodynaics II Exa 2 Noveber 3, 202 8:00 p.. 9:00 p.. Nae: Solution Section (Circle One): Sojka Naik :30 a.. :30 p.. Instructions: This is a closed book/notes exa. You ay use a calculator. You

More information

MATH 10550, EXAM 3 SOLUTIONS

MATH 10550, EXAM 3 SOLUTIONS MATH 155, EXAM 3 SOLUTIONS 1. I fidig a approximate solutio to the equatio x 3 +x 4 = usig Newto s method with iitial approximatio x 1 = 1, what is x? Solutio. Recall that x +1 = x f(x ) f (x ). Hece,

More information

Temperature and Thermodynamics, Part II. Topics to be Covered

Temperature and Thermodynamics, Part II. Topics to be Covered Teperature and Therodynaics, Part II Topics to be Covered Profiles of Teperature in the Boundary Layer Potential teperature Adiabatic Lapse Rate Theral Stratification 1/8/17 Why are We Interested in Theral

More information

MATHEMATICAL METHODS

MATHEMATICAL METHODS 8 Practice Exam A Letter STUDENT NUMBER MATHEMATICAL METHODS Writte examiatio Sectio Readig time: 5 miutes Writig time: hours WORKED SOLUTIONS Number of questios Structure of book Number of questios to

More information

V i = component volume of component i. T282. c Dr. Md. Zahurul Haq (BUET) Gas Mixture ME 203 (2017) 6 / 22. Moist Air T284

V i = component volume of component i. T282. c Dr. Md. Zahurul Haq (BUET) Gas Mixture ME 203 (2017) 6 / 22. Moist Air T284 Ideal Gas ixtures Properties of Homogeeous ixtures & Pyschrometry Dr. d. Zahurul Haq Professor Departmet of echaical Egieerig Bagladesh Uiversity of Egieerig & Techology (BUET) Dhaka-000, Bagladesh zahurul@me.buet.ac.bd

More information

Combined effects of Hall current and rotation on free convection MHD flow in a porous channel

Combined effects of Hall current and rotation on free convection MHD flow in a porous channel Idia Joural of Pur & Applid Physics Vol. 47, Sptbr 009, pp. 67-63 Cobid ffcts of Hall currt ad rotatio o fr covctio MHD flow i a porous chal K D Sigh & Raksh Kuar Dpartt of Mathatics (ICDEOL, H P Uivrsy,

More information

CHAPTER 2 Fluid Statics

CHAPTER 2 Fluid Statics Chapter / Fluid Statics CHPTER Fluid Statics FE-type Eam Review Problems: Problems - to -9. (C). (D). (C).4 ().5 () The pressure can be calculated using: p = γ h were h is the height of mercury. p= γ h=

More information

Physical Chemistry I for Biochemists. Lecture 2 (1/12/11) Yoshitaka Ishii. Gas Ch. 1 Non-Ideal Gas (Ch 1 & Raff p21-41) Announcement

Physical Chemistry I for Biochemists. Lecture 2 (1/12/11) Yoshitaka Ishii. Gas Ch. 1 Non-Ideal Gas (Ch 1 & Raff p21-41) Announcement Physical Cheistry I for Biocheists Che340 Lecture (1/1/11) Yoshitaka Ishii Gas Ch. 1 No-Ideal Gas (Ch 1 & Raff p1-41) Aouceet HW 1 is due et Wedesday before the class (Fid HW1 at the web site) Attedace

More information

The Structure of Z p when p is Prime

The Structure of Z p when p is Prime LECTURE 13 The Structure of Z p whe p is Prime Theorem 131 If p > 1 is a iteger, the the followig properties are equivalet (1) p is prime (2) For ay [0] p i Z p, the equatio X = [1] p has a solutio i Z

More information

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1 Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida

More information

On the approximation of the constant of Napier

On the approximation of the constant of Napier Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of

More information

Principles of Humidity Dalton s law

Principles of Humidity Dalton s law Principls of Humidity Dalton s law Air is a mixtur of diffrnt gass. Th main gas componnts ar: Gas componnt volum [%] wight [%] Nitrogn N 2 78,03 75,47 Oxygn O 2 20,99 23,20 Argon Ar 0,93 1,28 Carbon dioxid

More information

Discrete Fourier Series and Transforms

Discrete Fourier Series and Transforms Lctur 4 Outi: Discrt Fourir Sris ad Trasforms Aoucmts: H 4 postd, du Tus May 8 at 4:3pm. o at Hs as soutios wi b avaiab immdiaty. Midtrm dtais o t pag H 5 wi b postd Fri May, du foowig Fri (as usua) Rviw

More information

Outline. Ionizing Radiation. Introduction. Ionizing radiation

Outline. Ionizing Radiation. Introduction. Ionizing radiation Outli Ioizig Radiatio Chaptr F.A. Attix, Itroductio to Radiological Physics ad Radiatio Dosimtry Radiological physics ad radiatio dosimtry Typs ad sourcs of ioizig radiatio Dscriptio of ioizig radiatio

More information

Bayesian Estimations in Insurance Theory and Practice

Bayesian Estimations in Insurance Theory and Practice Advacs i Mathmatical ad Computatioal Mthods Baysia Estimatios i Isurac Thory ad Practic VIERA PACÁKOVÁ Dpartmt o Mathmatics ad Quatitativ Mthods Uivrsity o Pardubic Studtská 95, 53 0 Pardubic CZECH REPUBLIC

More information

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120 Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,

More information

SOLVED PROBLEMS IN FOUNDATION ENGINEERING

SOLVED PROBLEMS IN FOUNDATION ENGINEERING Probl # (6) rctagular footig is actd by a vrtical load of 8060 kn ad two horizotal forcs of 500 kn i both th log ad th short dirctios with a distac of 0.6 fro th groud surfac. Dtri:. Th bas prssur at th

More information

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016 MAT3700/0//06 Tuorial Lr 0//06 Mahmaics III (Egirig) MAT3700 Smsr Dparm of Mahmaical scics This uorial lr coais soluios ad aswrs o assigms. BARCODE CONTENTS Pag SOLUTIONS ASSIGNMENT... 3 SOLUTIONS ASSIGNMENT...

More information

are given in the table below. t (hours)

are given in the table below. t (hours) CALCULUS WORKSHEET ON INTEGRATION WITH DATA Work th following on notbook papr. Giv dcimal answrs corrct to thr dcimal placs.. A tank contains gallons of oil at tim t = hours. Oil is bing pumpd into th

More information

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia Part B: Trasform Mthods Chaptr 3: Discrt-Tim Fourir Trasform (DTFT) 3. Discrt Tim Fourir Trasform (DTFT) 3. Proprtis of DTFT 3.3 Discrt Fourir Trasform (DFT) 3.4 Paddig with Zros ad frqucy Rsolutio 3.5

More information

NET/JRF, GATE, IIT JAM, JEST, TIFR

NET/JRF, GATE, IIT JAM, JEST, TIFR Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ

More information

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1 DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT

More information

MATHEMATICS. 61. The differential equation representing the family of curves where c is a positive parameter, is of

MATHEMATICS. 61. The differential equation representing the family of curves where c is a positive parameter, is of MATHEMATICS 6 The differetial equatio represetig the family of curves where c is a positive parameter, is of Order Order Degree (d) Degree (a,c) Give curve is y c ( c) Differetiate wrt, y c c y Hece differetial

More information

Formula List for College Algebra Sullivan 10 th ed. DO NOT WRITE ON THIS COPY.

Formula List for College Algebra Sullivan 10 th ed. DO NOT WRITE ON THIS COPY. Forula List for College Algera Sulliva 10 th ed. DO NOT WRITE ON THIS COPY. Itercepts: Lear how to fid the x ad y itercepts. Syetry: Lear how test for syetry with respect to the x-axis, y-axis ad origi.

More information

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.

More information

Magnetic vector potential. Antonio Jose Saraiva ; -- Electric current; -- Magnetic momentum; R Radius.

Magnetic vector potential. Antonio Jose Saraiva ; -- Electric current; -- Magnetic momentum; R Radius. Magnti vtor potntial Antonio Jos araiva ajps@hotail.o ; ajps137@gail.o A I.R A Magnti vtor potntial; -- auu prability; I -- ltri urrnt; -- Magnti ontu; R Radius. un agnti ronntion un tru surfa tpratur

More information

MATH 6101 Fall 2008 Newton and Differential Equations

MATH 6101 Fall 2008 Newton and Differential Equations MATH 611 Fall 8 Newto ad Differetial Equatios A Differetial Equatio What is a differetial equatio? A differetial equatio is a equatio relatig the quatities x, y ad y' ad possibly higher derivatives of

More information

Reteaching 5-1. Ratios

Reteaching 5-1. Ratios Reteachig - Ratios A ratio is a compariso of two umbers by divisio. You ca write a ratio three ways. Compare the umber of red tulips to the umber of yellow tulips. red tulips yellow tulips to : or orage

More information

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities.

Motivation. We talk today for a more flexible approach for modeling the conditional probabilities. Baysia Ntworks Motivatio Th coditioal idpdc assuptio ad by aïv Bays classifirs ay s too rigid spcially for classificatio probls i which th attributs ar sowhat corrlatd. W talk today for a or flibl approach

More information

Areas and Distances. We can easily find areas of certain geometric figures using well-known formulas:

Areas and Distances. We can easily find areas of certain geometric figures using well-known formulas: Areas ad Distaces We ca easily fid areas of certai geometric figures usig well-kow formulas: However, it is t easy to fid the area of a regio with curved sides: METHOD: To evaluate the area of the regio

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information

The Hypergeometric Coupon Collection Problem and its Dual

The Hypergeometric Coupon Collection Problem and its Dual Joural of Idustrial ad Systes Egieerig Vol., o., pp -7 Sprig 7 The Hypergeoetric Coupo Collectio Proble ad its Dual Sheldo M. Ross Epstei Departet of Idustrial ad Systes Egieerig, Uiversity of Souther

More information

CHAPTER 8 SYSTEMS OF PARTICLES

CHAPTER 8 SYSTEMS OF PARTICLES CHAPTER 8 SYSTES OF PARTICLES CHAPTER 8 COLLISIONS 45 8. CENTER OF ASS The ceter of mass of a system of particles or a rigid body is the poit at which all of the mass are cosidered to be cocetrated there

More information

PHA 5127 Answers Homework 2 Fall 2001

PHA 5127 Answers Homework 2 Fall 2001 PH 5127 nswrs Homwork 2 Fall 2001 OK, bfor you rad th answrs, many of you spnt a lot of tim on this homwork. Plas, nxt tim if you hav qustions plas com talk/ask us. Thr is no nd to suffr (wll a littl suffring

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

Acoustic Field inside a Rigid Cylinder with a Point Source

Acoustic Field inside a Rigid Cylinder with a Point Source Acoustic Field iside a Rigid Cylider with a Poit Source 1 Itroductio The ai objectives of this Deo Model are to Deostrate the ability of Coustyx to odel a rigid cylider with a poit source usig Coustyx

More information

Frequency Response & Digital Filters

Frequency Response & Digital Filters Frquy Rspos & Digital Filtrs S Wogsa Dpt. of Cotrol Systms ad Istrumtatio Egirig, KUTT Today s goals Frquy rspos aalysis of digital filtrs LTI Digital Filtrs Digital filtr rprstatios ad struturs Idal filtrs

More information

Lecture 7: October 18, 2017

Lecture 7: October 18, 2017 Iformatio ad Codig Theory Autum 207 Lecturer: Madhur Tulsiai Lecture 7: October 8, 207 Biary hypothesis testig I this lecture, we apply the tools developed i the past few lectures to uderstad the problem

More information

Byeong-Joo Lee

Byeong-Joo Lee OSECH - MSE calphad@postch.ac.kr Equipartition horm h avrag nrgy o a particl pr indpndnt componnt o motion is ε ε ' ε '' ε ''' U ln Z Z ε < ε > U ln Z β ( ε ' ε '' ε ''' / Z' Z translational kintic nrgy

More information

Linear regression. Daniel Hsu (COMS 4771) (y i x T i β)2 2πσ. 2 2σ 2. 1 n. (x T i β y i ) 2. 1 ˆβ arg min. β R n d

Linear regression. Daniel Hsu (COMS 4771) (y i x T i β)2 2πσ. 2 2σ 2. 1 n. (x T i β y i ) 2. 1 ˆβ arg min. β R n d Liear regressio Daiel Hsu (COMS 477) Maximum likelihood estimatio Oe of the simplest liear regressio models is the followig: (X, Y ),..., (X, Y ), (X, Y ) are iid radom pairs takig values i R d R, ad Y

More information

Problem Value Score Earned No/Wrong Rec -3 Total

Problem Value Score Earned No/Wrong Rec -3 Total GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING ECE6 Fall Quiz # Writt Eam Novmr, NAME: Solutio Kys GT Usram: LAST FIRST.g., gtiit Rcitatio Sctio: Circl t dat & tim w your Rcitatio

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls

More information

On a problem of J. de Graaf connected with algebras of unbounded operators de Bruijn, N.G.

On a problem of J. de Graaf connected with algebras of unbounded operators de Bruijn, N.G. O a problm of J. d Graaf coctd with algbras of uboudd oprators d Bruij, N.G. Publishd: 01/01/1984 Documt Vrsio Publishr s PDF, also kow as Vrsio of Rcord (icluds fial pag, issu ad volum umbrs) Plas chck

More information

Sample Final Questions: Solutions Math 21B, Winter y ( y 1)(1 + y)) = A y + B

Sample Final Questions: Solutions Math 21B, Winter y ( y 1)(1 + y)) = A y + B Sample Final Questions: Solutions Math 2B, Winter 23. Evaluate the following integrals: tan a) y y dy; b) x dx; c) 3 x 2 + x dx. a) We use partial fractions: y y 3 = y y ) + y)) = A y + B y + C y +. Putting

More information

SECTION 2.6 THE SECOND ALTERNATIVE

SECTION 2.6 THE SECOND ALTERNATIVE 54 SECTION 2.6 THE SECOND ALTERNATIVE We ow discuss the probles where the Secod Alterative holds. The suppositio is that there is a otrivial solutio for L(y) =, B (y) = B 2 (y) =. The Fredhol Theores assure

More information

SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C

SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C Joural of Mathatical Aalysis ISSN: 2217-3412, URL: www.ilirias.co/ja Volu 8 Issu 1 2017, Pags 156-163 SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C BURAK

More information

is an appropriate single phase forced convection heat transfer coefficient (e.g. Weisman), and h

is an appropriate single phase forced convection heat transfer coefficient (e.g. Weisman), and h For t BWR oprating paramtrs givn blow, comput and plot: a) T clad surfac tmpratur assuming t Jns-Lotts Corrlation b) T clad surfac tmpratur assuming t Tom Corrlation c) T clad surfac tmpratur assuming

More information

EGN 3353C Fluid Mechanics

EGN 3353C Fluid Mechanics Chapter 7: DIMENSIONAL ANALYSIS AND MODELING Lecture 3 dimesio measure of a physical quatity ithout umerical values (e.g., legth) uit assigs a umber to that dimesio (e.g., meter) 7 fudametal dimesios from

More information

Folding of Hyperbolic Manifolds

Folding of Hyperbolic Manifolds It. J. Cotmp. Math. Scics, Vol. 7, 0, o. 6, 79-799 Foldig of Hyprbolic Maifolds H. I. Attiya Basic Scic Dpartmt, Collg of Idustrial Educatio BANE - SUEF Uivrsity, Egypt hala_attiya005@yahoo.com Abstract

More information

ln x = n e = 20 (nearest integer)

ln x = n e = 20 (nearest integer) H JC Prlim Solutios 6 a + b y a + b / / dy a b 3/ d dy a b at, d Giv quatio of ormal at is y dy ad y wh. d a b () (,) is o th curv a+ b () y.9958 Qustio Solvig () ad (), w hav a, b. Qustio d.77 d d d.77

More information

Ch. 6 Free Electron Fermi Gas

Ch. 6 Free Electron Fermi Gas Ch. 6 lcto i Gas Coductio lctos i a tal ov fl without scattig b io cos so it ca b cosidd as if walitactig o f paticls followig idiac statistics. hfo th coductio lctos a fqutl calld as f lcto i gas. Coductio

More information

A Risk Comparison of Ordinary Least Squares vs Ridge Regression

A Risk Comparison of Ordinary Least Squares vs Ridge Regression Joural of Machie Learig Research 14 (2013) 1505-1511 Submitted 5/12; Revised 3/13; Published 6/13 A Risk Compariso of Ordiary Least Squares vs Ridge Regressio Paramveer S. Dhillo Departmet of Computer

More information

The Generalized Newtonian Fluid - Isothermal Flows Constitutive Equations! Viscosity Models! Solution of Flow Problems!

The Generalized Newtonian Fluid - Isothermal Flows Constitutive Equations! Viscosity Models! Solution of Flow Problems! The Geeralized Newtoia Fluid - Isothermal Flows Costitutive Equatios! Viscosity Models! Solutio of Flow Problems! 0.53/2.34! Sprig 204! MIT! Cambridge, MA 0239! Geeralized Newtoia Fluid Simple Shear Flow

More information

Generalized Semi- Markov Processes (GSMP)

Generalized Semi- Markov Processes (GSMP) Geeralized Semi- Markov Processes (GSMP) Summary Some Defiitios Markov ad Semi-Markov Processes The Poisso Process Properties of the Poisso Process Iterarrival times Memoryless property ad the residual

More information

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense,

3. Z Transform. Recall that the Fourier transform (FT) of a DT signal xn [ ] is ( ) [ ] = In order for the FT to exist in the finite magnitude sense, 3. Z Trasform Referece: Etire Chapter 3 of text. Recall that the Fourier trasform (FT) of a DT sigal x [ ] is ω ( ) [ ] X e = j jω k = xe I order for the FT to exist i the fiite magitude sese, S = x [

More information

Radiative equilibrium Some thermodynamics review Radiative-convective equilibrium. Goal: Develop a 1D description of the [tropical] atmosphere

Radiative equilibrium Some thermodynamics review Radiative-convective equilibrium. Goal: Develop a 1D description of the [tropical] atmosphere Radiative equilibrium Some thermodynamics review Radiative-convective equilibrium Goal: Develop a 1D description of the [tropical] atmosphere Vertical temperature profile Total atmospheric mass: ~5.15x10

More information

Windowing in FIR Filter Design. Design Summary and Examples

Windowing in FIR Filter Design. Design Summary and Examples Lctur 3 Outi: iowig i FIR Fitr Dsig. Dsig Summary a Exams Aoucmts: Mitrm May i cass. i covr through FIR Fitr Dsig. 4 ost, 5% ogr tha usua, 4 xtra ays to comt (u May 8) Mor tais o say Thr wi b o aitioa

More information

Atsc final Equations: page 1/6

Atsc final Equations: page 1/6 Atsc. 405 2012 final Equations: page 1/6 Answer each of these 7 questions (note weight). Show all your work on all questions (needed for partial credit). Be sure to put your name on any detached pages.

More information

Homework #4 Chapter 17

Homework #4 Chapter 17 oework #4 hapter 17 roperties o Solutios 1. a) NO(s) + (aq) + NO - (aq) ) NaSO4(s) Na + (aq) + SO4 - (aq) c) Al(NO)(s) Al + (aq) + NO - (aq) d) SrBr(s) Sr + (aq) + Br - (aq) e) KlO4(s) K + (aq) + lo4 -

More information

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor .8 NOISE.8. Th Nyquist Nois Thorm W ow wat to tur our atttio to ois. W will start with th basic dfiitio of ois as usd i radar thory ad th discuss ois figur. Th typ of ois of itrst i radar thory is trmd

More information

x 2 x x x x x + x x +2 x

x 2 x x x x x + x x +2 x Math 5440: Notes o particle radom walk Aaro Fogelso September 6, 005 Derivatio of the diusio equatio: Imagie that there is a distributio of particles spread alog the x-axis ad that the particles udergo

More information

1997 AP Calculus AB: Section I, Part A

1997 AP Calculus AB: Section I, Part A 997 AP Calculus AB: Sction I, Part A 50 Minuts No Calculator Not: Unlss othrwis spcifid, th domain of a function f is assumd to b th st of all ral numbrs for which f () is a ral numbr.. (4 6 ) d= 4 6 6

More information

Conditional Probability. Given an event M with non zero probability and the condition P( M ) > 0, Independent Events P A P (AB) B P (B)

Conditional Probability. Given an event M with non zero probability and the condition P( M ) > 0, Independent Events P A P (AB) B P (B) Coditioal robability Give a evet M with o zero probability ad the coditio ( M ) > 0, ( / M ) ( M ) ( M ) Idepedet Evets () ( ) ( ) () ( ) ( ) ( ) Examples ) Let items be chose at radom from a lot cotaiig

More information

Lectures 9 IIR Systems: First Order System

Lectures 9 IIR Systems: First Order System EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work

More information

NATIONAL SENIOR CERTIFICATE GRADE 12

NATIONAL SENIOR CERTIFICATE GRADE 12 NATIONAL SENIOR CERTIFICATE GRADE MATHEMATICS P FEBRUARY/MARCH 04 MARKS: 50 TIME: 3 hours This questio paper cosists of 9 pages, diagram sheet ad iformatio sheet. Please tur over Mathematics/P DBE/Feb.

More information

Calculus Math 21B, Winter 2009 Final Exam: Solutions

Calculus Math 21B, Winter 2009 Final Exam: Solutions Calculus Math B, Winter 9 Final Exam: Solutions. (a) Express the area of the region enclosed between the x-axis and the curve y = x 4 x for x as a definite integral. (b) Find the area by evaluating the

More information

Ordinary Differential Equations

Ordinary Differential Equations Basi Nomlatur MAE 0 all 005 Egirig Aalsis Ltur Nots o: Ordiar Diffrtial Equatios Author: Profssor Albrt Y. Tog Tpist: Sakurako Takahashi Cosidr a gral O. D. E. with t as th idpdt variabl, ad th dpdt variabl.

More information

Exercise The solution of

Exercise The solution of Exercise 8.51 The solution of dx dy = sin φ cos θdr + r cos φ cos θdφ r sin φ sin θdθ sin φ sin θdr + r cos φ sin θdφ r sin φ cos θdθ is dr dφ = dz cos φdr r sin φdφ dθ sin φ cos θdx + sin φ sin θdy +

More information

Student s Printed Name:

Student s Printed Name: Studt s Pritd Nam: Istructor: CUID: Sctio: Istructios: You ar ot prmittd to us a calculator o ay portio of this tst. You ar ot allowd to us a txtbook, ots, cll pho, computr, or ay othr tchology o ay portio

More information

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman:

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman: Math 224 Fall 2017 Homework 4 Drew Armstrog Problems from 9th editio of Probability ad Statistical Iferece by Hogg, Tais ad Zimmerma: Sectio 2.3, Exercises 16(a,d),18. Sectio 2.4, Exercises 13, 14. Sectio

More information

ME 354 Tutorial, Week#11 Non-Reacting Mixtures Psychrometrics Applied to a Cooling Tower

ME 354 Tutorial, Week#11 Non-Reacting Mixtures Psychrometrics Applied to a Cooling Tower ME 5 Tutoril, Week# Non-Recting Mixtures Psychroetrics Applied to Cooling Toer Wter exiting the condenser of poer plnt t 5 C enters cooling toer ith ss flo rte of 5000 kg/s. A stre of cooled ter is returned

More information