1. Explain the changes in the predicted Cu concentration in Torch L. that result from using different time steps in the numerical model.

Size: px
Start display at page:

Download "1. Explain the changes in the predicted Cu concentration in Torch L. that result from using different time steps in the numerical model."

Transcription

1 1. Explain the changes in the predicted Cu concentration in Torch L. that result from using different time steps in the numerical model. ANSER: Time steps longer than 2 years cause the model to overpredict the peak concentration, and time steps of 5 years result in a sawtooth pattern of overshooting and then undershooting the predictions with shorter time steps. All of these time steps are too long relative to the rates of the processes involved. The concentration would change substantially within the duration of the time step such that the model is unable to accurately respond to changes in rates that result from changes in concentrations. 2. Consider a lake with a eutrophication problem. You wish to predict the future phosphorus concentration in the lake. You are given the following information: current concentration: 0 /L Loading (g/): 40,000 Outflow (m /): 2x10 6 Area (m 2 ) 100,000 Mean depth (m) 15 Settling velocity (m/) 1 a. hat will be the steady-state concentration of phosphorus in this lake under these conditions? = 0 = QoC vsac C = = Qo vsa 210 x 1 10m 5 2 g = = 19 m L b. Use a first-order Runge-Kutta with a timestep of 1 to predict the concentration one year from now.

2 b C Q v A o s g 4x10 2x10 1 g m m g = = 15 m L C C = t Δt = = 15 L L L H c. Use Heun's Method with a timestep of 1 to predict the concentration one year from now. e can use a lot of the information above within Heun's method. Heun's method is: C=C o slope (time interval) where the slope is the average of the slopes at t = t o and t = t o Δt. n Part b we calculated the slope at t o, so now we must merely calculate the slope at t o Δt. b C Q v A o s g 210 x 1 g m m H g = = 6 m L C = Ct 05. bslope1 slope2g Δt = = 255. L H L L L d. Use a fourth-order Runge-Kutta with a timestep of 1 year to predict the concentration one year from now. n addition to the two slopes calculated above, we have to estimate two additional slopes for the 4th order method. The first of these slopes is the one at t=t o 0.5Δt and at C=C o 0.5ΔC = 0 0.5(-15) = 22.5 /L The slope at this concentration is:

3 b C Q v A o s g 210 x 1 g m m H g = = 4. 6 m L The final slope estimate is calculated for t=t o 0.5Δt assuming that concentrations are changing at the slope just calculated. f the previous slope existed for 1/2 the time step, then the concentration after 1/2 the timestep would be: C = C o 0.5ΔC = *( ) = The final slope estimate is then calculated as: b C Q v A o s g 210 x 1 g m m H g = = 12 m L Now we are in a position to average these estimates of the slope; for the 4th order Runge- Kutta, the last two slope estimates are weighted twice as heavily as the first two. Thus: Slope = 1/6*(S 1 S 2 ) 1/*(S S 4 ) = 1/6*( ) 1/*( ) = -7.1 /L-. The concentration after one year would be C = C o slope(time interval) = 22.9 /L. e. Use the analytical solution to the mass balance equation to predict the concentration one year from now. The analytical solution is obtained by integrating the mass balance equation. The integrated equation is: λt λt C = Coe c1 e h λ where λ equals (Q/ v s /H) = Substituting the appropriate values into this equation yields a predicted concentration of 21.7 /L.. Consider Torch Lake with its narrow constriction between the south and the central basin. rite an equation for horizontal mixing that occurs between these two basins.

4 K x ' = ΔC ( wh ) = vx ΔC ( wh ) = Kx ΔC Δx where K x is the horizontal dispersion coefficient (m 2 /d), Δx is the horizontal distance over which concentration gradients are observed, ΔC is the concentration difference between the two basins, w is the wih of the connecting channel, and h is the depth of the connecting channel (the product wh equals the cross-sectional area of the connecting channel), v x is the dispersion velocity (m/d), and K x is the volumetric dispersion coefficient (m /d). 4. rite the equation for the flux of Cu from the sediment porewaters to the hypolimnion. D = z ΔC A Δz This time, D z is the effective vertical diffusion coefficient, Δz is the vertical distance, and A is the surface area of sediments. 5. rite the equation for the exchange of phosphorus between the epilimnion and hypolimnion of a lake. K = z ΔC A Δz n this equation, a vertical dispersion coefficient, K z, has replaced the diffusion coefficient, Δz is the thickness of the thermocline, and A is the area of the thermocline.

5 6. Predict the shape of the concentration vs. time curve for PCBs in Lake Superior assuming that the historical exponential increase is reversed and becomes an exponential decrease. C time 7. Predict the effect of building a wastewater treatment plant and piping the effluent into a lake with a one year residence time vs. a lake with a 5 year residence time. Draw the shapes of the concentration vs. time curves for both lakes on one graph assuming a step increase in the loading due to the construction of the wastewater treatment plant. Conc. or Loading Loading Time () This graph assumes that the pollutant residence times are 1 and 5 years. 8. List three considerations that would influence your decision as to whether to use a numerical or analytical solution for determining future concentrations of a pollutant in a lake. ANSER 1. Are hydrologic flows and inputs constant, or is seasonal or annual variation significant?

6 2. Can the temporal variations in flows and inputs be described with simple algebraic expressions?. s the desired result an accurate estimation of concentrations over time or simply an approximate picture of how concentrations will change in the future. 9. rite an equation for the flux (mass area -1 time -1 ) resulting from the following processes. Be certain to define the terms that you use in your equations. a. ertical mixing between the epilimnion and hypolimnion of a lake K = z ΔC A Δz This is identical to question 5. n this equation, a vertical dispersion coefficient, K z, has replaced the diffusion coefficient, Δz is the thickness of the thermocline, and A is the area of the thermocline. b. as transfer across the surface of a lake * = Kaw ( C Cw ) A n this equation, K aw, is the air-water mass transfer coefficient (m/d), C * is the aqueous concentration that would exist in equilibrium with the concentration in the air, and A is the lake area. 10. The magnitude of the horizontal dispersion coefficient calculated for transfer of Cu from the nearshore to the offshore zone in Lake Superior was 10 4 cm 2 sec -1 or 8.6 x 10 4 m 2 d -1. The mean water depth at the interface between near- and offshore zones is 50 m, the horizontal thickness of the mixing zone is about 500 m, and this mixing zone occurs about 5 km offshore over a length of coastline of about 150 km. a. Explain what parameter is needed to convert the dispersion coefficent to a dispersion velocity (m d -1 ) and calculate this velocity. (Just for comparison's sake, the velocity of the Keweenaw Current is about 5 km/d, and the wave velocity on the lake yesterday was about 6000 km/d.) b. State what parameters you need to convert the dispersion coefficient to a volumetric dispersion coefficient (m s -1 ). Do the calculation. (or comparison's sake, the average flow of the Ontonagon River is 4 m s -1, the average outflow of L. Superior at the St. Mary's River is 250 m s -1.)

Numerical Hydraulics

Numerical Hydraulics ETHZ, Fall 017 Numerical Hydraulics Assignment 4 Numerical solution of 1D solute transport using Matlab http://www.bafg.de/ http://warholian.com Numerical Hydraulics Assignment 4 ETH 017 1 Introduction

More information

Outline Calculus for the Life Sciences II. Pollution in a Lake 1. Introduction. Lecture Notes Numerical Methods for Differential Equations

Outline Calculus for the Life Sciences II. Pollution in a Lake 1. Introduction. Lecture Notes Numerical Methods for Differential Equations Improved Improved Outline Calculus for the Life Sciences II tial Equations Joseph M. Mahaffy, mahaffy@math.sdsu.edu Department of Mathematics and Statistics Dynamical Systems Group Computational Sciences

More information

Calculus for the Life Sciences

Calculus for the Life Sciences Improved Calculus for the Life Sciences ntial Equations Joseph M. Mahaffy, jmahaffy@mail.sdsu.edu Department of Mathematics and Statistics Dynamical Systems Group Computational Sciences Research Center

More information

Important points from previous lecture. What are the major hydrologic fluxes to

Important points from previous lecture. What are the major hydrologic fluxes to Important points from previous lecture What are the major hydrologic fluxes to and from lakes? How can flow from one gaged river be extrapolated to an ungaged river? How does one convert flow in cm to

More information

Points to Learn. τ C. τ R. conservative substance reactive substance. τ W V Q. out. out

Points to Learn. τ C. τ R. conservative substance reactive substance. τ W V Q. out. out Pots to Learn Steady State: defition Assimilation capacity - Concept - Mathematical defition: Transfer Coefficient, β =C /C Residence time: hydraulic conservative substance reactive substance τ R = a =

More information

B-1. Attachment B-1. Evaluation of AdH Model Simplifications in Conowingo Reservoir Sediment Transport Modeling

B-1. Attachment B-1. Evaluation of AdH Model Simplifications in Conowingo Reservoir Sediment Transport Modeling Attachment B-1 Evaluation of AdH Model Simplifications in Conowingo Reservoir Sediment Transport Modeling 1 October 2012 Lower Susquehanna River Watershed Assessment Evaluation of AdH Model Simplifications

More information

1.061 / 1.61 Transport Processes in the Environment

1.061 / 1.61 Transport Processes in the Environment MIT OpenCourseWare http://ocw.mit.edu 1.061 / 1.61 Transport Processes in the Environment Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Solution

More information

Physics of Aquatic Systems

Physics of Aquatic Systems Physics of Aquatic Systems. Turbulent Transport in Surface Waters Contents of Session : Transport 4.1 Turbulent (eddy) fusion 4. Measurement of eddy fusivity in lakes Tracer methods (artificial tracer)

More information

x y

x y (a) The curve y = ax n, where a and n are constants, passes through the points (2.25, 27), (4, 64) and (6.25, p). Calculate the value of a, of n and of p. [5] (b) The mass, m grams, of a radioactive substance

More information

Contaminant Fate and Transport in the Environment EOH 2122; Lecture 6, Transport in Surface Waters

Contaminant Fate and Transport in the Environment EOH 2122; Lecture 6, Transport in Surface Waters Contaminant Fate and Transport in the Environment EOH 2122; Lecture 6, Transport in Surface Waters Conrad (Dan) Volz, DrPH, MPH Bridgeside Point 100 Technology Drive Suite 564, BRIDG Pittsburgh, PA 15219-3130

More information

Numerical Hydraulics

Numerical Hydraulics ETH Zurich, Fall 2017 Numerical Hydraulics Assignment 2 Numerical solution of shallow water wave propagation (www.surfertoday.com) 1 Introduction 1.1 Equations Understanding the propagation of shallow

More information

surface c, c. Concentrations in bulk s b s b red red ox red

surface c, c. Concentrations in bulk s b s b red red ox red CHEM465/865, 26-3, Lecture 16, Oct. 13, 26 compact layer S c ox,red b c ox,red Note, that we explicitly distinguish concentrations at surface bulk b red c, c from those in s red b ox s ox c, c. Concentrations

More information

SEDIMENTATION AND ITS COUNTERMEASURE AT THE OFF-TAKE AREA OF NEW DHALESWARI RIVER

SEDIMENTATION AND ITS COUNTERMEASURE AT THE OFF-TAKE AREA OF NEW DHALESWARI RIVER SEDIMENTATION AND ITS COUNTERMEASURE AT THE OFF-TAKE AREA OF NEW DHALESWARI RIVER Tanjir Saif AHMED* MEE15634 Supervisors: Prof. EGASHIRA Shinji** Assoc. Prof. YOROZUYA Atsuhiro*** ABSTRACT Present study

More information

Develop a lumped parameter model of the following differential equation using Eulers, Huens, and the 4 th order Runga Kutta Method:

Develop a lumped parameter model of the following differential equation using Eulers, Huens, and the 4 th order Runga Kutta Method: Homework 2 Assigned: 2/1/2012 Due: 3/13/2012 Part 1. Comparison of Euler, Huen, and 4 th Order RK methods Develop a lumped parameter model of the following differential equation using Eulers, Huens, and

More information

GIS and Coastal Nutrients Luke Cole

GIS and Coastal Nutrients Luke Cole GIS and Coastal Nutrients Luke Cole Human population density has been widely utilized as a valid predictor of terrestrial nitrogen loads into marine systems. As 50% of the world s population lives within

More information

SEDIMENTATION INTRODUCTION

SEDIMENTATION INTRODUCTION SEDIMENTATION INTRODUCTION Sedimentation is removal of particulate materials suspended in water by quiescent settling due to gravity Commonly used unit operation in water and wastewater treatment plants

More information

1. INTRODUCTION TO CFD SPRING 2018

1. INTRODUCTION TO CFD SPRING 2018 1. INTRODUCTION TO CFD SPRING 018 1.1 What is computational fluid dynamics? 1. Basic principles of CFD 1.3 Stages in a CFD simulation 1.4 Fluid-flow equations 1.5 The main discretisation methods Appendices

More information

Surface Complexation.

Surface Complexation. Surface Complexation. Jean-François Gaillard, Notes for CE-367 OBJECTIVES To show how the presence of particles in natural and engineered systems controls the fate of many trace elements. The concepts

More information

Beyond Ocean Modelling: Multi-Scale/Physics Numerical Simulation of the Hydrosphere II. Interpreting the results of complex models

Beyond Ocean Modelling: Multi-Scale/Physics Numerical Simulation of the Hydrosphere II. Interpreting the results of complex models 1 Mathematics in Waterland COSSE Workshop Delft University of Technology, Delft, The Netherlands February 7-10, 2011 Beyond Ocean Modelling: Multi-Scale/Physics Numerical Simulation of the Hydrosphere

More information

Sediment Quality Improvements Through Science Based Management Actions

Sediment Quality Improvements Through Science Based Management Actions Sediment Quality Improvements Through Science Based Management Actions Andrew Jirik, Port of Los Angeles James Vernon, Port of Long Beach May 30, 2014 Strategy Ports developed a 6 year program to develop

More information

Lake Pollution Model

Lake Pollution Model Lake Pollution Model Joel Aguirre and Darren Tully May 21, 1999 Abstract Using simple mixture problem techniques to derive a differentiable equation to model the pollution concentration of a lake. 1. Introduction

More information

Air-Water Gas Exchange of Chemicals

Air-Water Gas Exchange of Chemicals Air-Water Gas Exchange of Chemicals terry.bidleman@ec.gc.ca Centre for Atmospheric Research Experiments Science & Technology Branch, Environment Canada Photo: Thule Bay, Alaska Jim Milne, DRDC Why? Air-Water

More information

Activity and Concentration

Activity and Concentration Activity and Concentration Activity effective concentration Ion-ion and ion-h 2 O interactions (hydration shell) cause number of ions available to react chemically ("free" ions) to be less than the number

More information

Redox reactions.

Redox reactions. Redox reactions http://eps.mcgill.ca/~courses/c220/ Redox reactions In a similar way that acids and bases have been defined as proton donors and proton acceptors, reductants and oxidants are defined as

More information

Main issues of Deltas

Main issues of Deltas Global sediment supply to coastal seas and oceans; location of major river deltas RIVER DELTAS Depositional processes - Course Coastal Morphodynamics GEO3-436; lecture 4 Nile Delta, Egypt Solo Delta, Java,

More information

CHEN 7100 FA16 Final Exam

CHEN 7100 FA16 Final Exam CHEN 7100 FA16 Final Exam Show all work and state all assumptions for full credit. The exam is closed book, notes, and homework. Only the course reader and your mind should be open. No electronic devices

More information

B 2 P 2, which implies that g B should be

B 2 P 2, which implies that g B should be Enhanced Summary of G.P. Agrawal Nonlinear Fiber Optics (3rd ed) Chapter 9 on SBS Stimulated Brillouin scattering is a nonlinear three-wave interaction between a forward-going laser pump beam P, a forward-going

More information

Global polynomial interpolants suffer from the Runge Phenomenon if the data sites (nodes) are not chosen correctly.

Global polynomial interpolants suffer from the Runge Phenomenon if the data sites (nodes) are not chosen correctly. Piecewise polynomial interpolation Global polynomial interpolants suffer from the Runge Phenomenon if the data sites (nodes) are not chosen correctly. In many applications, one does not have the freedom

More information

Chemical Processes. Transport Processes in the Environment. Transport Processes. Advection. Advection. t 1 t 2

Chemical Processes. Transport Processes in the Environment. Transport Processes. Advection. Advection. t 1 t 2 hemical Processes by Stefan Trapp (taken from course 4) Transport Processes in the Environment a definition of our nomenklatura Transport Processes Only 3 types of transport processes exist ) by advection

More information

Surface Processes Focus on Mass Wasting (Chapter 10)

Surface Processes Focus on Mass Wasting (Chapter 10) Surface Processes Focus on Mass Wasting (Chapter 10) 1. What is the distinction between weathering, mass wasting, and erosion? 2. What is the controlling force in mass wasting? What force provides resistance?

More information

Turbulence is a ubiquitous phenomenon in environmental fluid mechanics that dramatically affects flow structure and mixing.

Turbulence is a ubiquitous phenomenon in environmental fluid mechanics that dramatically affects flow structure and mixing. Turbulence is a ubiquitous phenomenon in environmental fluid mechanics that dramatically affects flow structure and mixing. Thus, it is very important to form both a conceptual understanding and a quantitative

More information

Seasonal variations of vertical structure in the deep waters of the Southern Caspian Sea

Seasonal variations of vertical structure in the deep waters of the Southern Caspian Sea 278 Research in Marine Sciences Volume 3, Issue 1, 2018 Pages 278-286 Seasonal variations of vertical structure in the deep waters of the Southern Caspian Sea Somayeh Nahavandian 1,*, and Alireza Vasel

More information

Tarbela Dam in Pakistan. Case study of reservoir sedimentation

Tarbela Dam in Pakistan. Case study of reservoir sedimentation Tarbela Dam in Pakistan. HR Wallingford, Wallingford, UK Published in the proceedings of River Flow 2012, 5-7 September 2012 Abstract Reservoir sedimentation is a main concern in the Tarbela reservoir

More information

x(t+ δt) - x(t) = slope δt t+δt

x(t+ δt) - x(t) = slope δt t+δt Techniques of Physics Worksheet 2 Classical Vibrations and Waves Introduction You will have encountered many different examples of wave phenomena in your courses and should be familiar with most of the

More information

Evaluation of the two stage ditch as a best management practice. A. Hodaj, L.C. Bowling, C. Raj, I. Chaubey

Evaluation of the two stage ditch as a best management practice. A. Hodaj, L.C. Bowling, C. Raj, I. Chaubey Evaluation of the two stage ditch as a best management practice A. Hodaj, L.C. Bowling, C. Raj, I. Chaubey Two-stage ditch: Stage 1 : main channel Stage 2 : flood plain bench Traditional ditch Twostage

More information

Block 6 Heat transport in rivers

Block 6 Heat transport in rivers Numerical Hydraulics Block 6 Heat transport in rivers Markus Holzner Contents of the course Block 1 The equations Block 2 Computation of pressure surges Block 3 Open channel flow (flow in rivers) Block

More information

Summer Intern Project/Model at Stroud Water Research Center. Xiaojuan (Cathy) Yu

Summer Intern Project/Model at Stroud Water Research Center. Xiaojuan (Cathy) Yu Summer Intern Project/Model at Stroud Water Research Center Xiaojuan (Cathy) Yu If we knew what we were doing, it wouldn t be called Research. A. Einstein Outline Introducing OTIS Mathematical model in

More information

1. INTRODUCTION TO CFD SPRING 2019

1. INTRODUCTION TO CFD SPRING 2019 1. INTRODUCTION TO CFD SPRING 2019 1.1 What is computational fluid dynamics? 1.2 Basic principles of CFD 1.3 Stages in a CFD simulation 1.4 Fluid-flow equations 1.5 The main discretisation methods Appendices

More information

Computational Techniques Prof. Dr. Niket Kaisare Department of Chemical Engineering Indian Institute of Technology, Madras

Computational Techniques Prof. Dr. Niket Kaisare Department of Chemical Engineering Indian Institute of Technology, Madras Computational Techniques Prof. Dr. Niket Kaisare Department of Chemical Engineering Indian Institute of Technology, Madras Module No. # 07 Lecture No. # 04 Ordinary Differential Equations (Initial Value

More information

Fluvial Systems Lab Environmental Geology Lab Dr. Johnson

Fluvial Systems Lab Environmental Geology Lab Dr. Johnson Fluvial Systems Lab Environmental Geology Lab Dr. Johnson *Introductory sections of this lab were adapted from Pidwirny, M. (2006). "Streamflow and Fluvial Processes". Fundamentals of Physical Geography,

More information

Applications with Laplace

Applications with Laplace Week #8 : Applications with Laplace Goals: Solving application ODEs using Laplace transforms Forced Spring/mass system Deformation of beams under load Transport and diffusion of contaminants in groundwater

More information

1. First-order ODE s

1. First-order ODE s 18.03 EXERCISES 1. First-order ODE s 1A. Introduction; Separation of Variables 1A-1. Verif that each of the following ODE s has the indicated solutions (c i,a are constants): a) 2 + = 0, = c 1 e x +c 2

More information

dt 2 The Order of a differential equation is the order of the highest derivative that occurs in the equation. Example The differential equation

dt 2 The Order of a differential equation is the order of the highest derivative that occurs in the equation. Example The differential equation Lecture 18 : Direction Fields and Euler s Method A Differential Equation is an equation relating an unknown function and one or more of its derivatives. Examples Population growth : dp dp = kp, or = kp

More information

A TIPPING-BUCKET SEDIMENT TRAP FOR CONTINUOUS MONITORING OF SEDIMENT DEPOSITION RATE

A TIPPING-BUCKET SEDIMENT TRAP FOR CONTINUOUS MONITORING OF SEDIMENT DEPOSITION RATE A TIPPING-BUCKET SEDIMENT TRAP FOR CONTINUOUS MONITORING OF SEDIMENT DEPOSITION RATE YASUO NIHEI AND YUICHI IMASHIMIZU Department of Civil Eng., Tokyo University of Science, 2641 Yamazaki, Noda-shi 278-851,

More information

7. Basics of Turbulent Flow Figure 1.

7. Basics of Turbulent Flow Figure 1. 1 7. Basics of Turbulent Flow Whether a flow is laminar or turbulent depends of the relative importance of fluid friction (viscosity) and flow inertia. The ratio of inertial to viscous forces is the Reynolds

More information

Appendix A. Common Mathematical Operations in Chemistry

Appendix A. Common Mathematical Operations in Chemistry Appendix A Common Mathematical Operations in Chemistry In addition to basic arithmetic and algebra, four mathematical operations are used frequently in general chemistry: manipulating logarithms, using

More information

Prediction of landslide-induced debris flow hydrograph: the Atsumari debris flow disaster in Japan

Prediction of landslide-induced debris flow hydrograph: the Atsumari debris flow disaster in Japan Monitoring, Simulation, Prevention and Remediation of Dense and Debris Flows 27 Prediction of landslide-induced debris flow hydrograph: the Atsumari debris flow disaster in Japan H. Takaoka 1, H. Hashimoto

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION DOI: 10.1038/NCLIMATE1664 Climate-change impact assessment for inlet-interrupted coastlines ROSHANKA RANASINGHE 1,2,3*, TRANG MINH DUONG 1,3, STEFAN UHLENROOK 1,2, DANO ROELVINK

More information

Quantifying i the GLRI Metric for Annual Sediment Deposition in Great Lakes Harbors:

Quantifying i the GLRI Metric for Annual Sediment Deposition in Great Lakes Harbors: USACE 516(e) Annual Meeting Ann Arbor, MI (May 15, 2013) Quantifying i the GLRI Metric for Annual Sediment Deposition in Great Lakes Harbors: A Pilot Evaluation for Toledo Harbor Todd Redder Joe DePinto

More information

MAT 107 College Algebra Fall 2013 Name. Final Exam, Version X

MAT 107 College Algebra Fall 2013 Name. Final Exam, Version X MAT 107 College Algebra Fall 013 Name Final Exam, Version X EKU ID Instructor Part 1: No calculators are allowed on this section. Show all work on your paper. Circle your answer. Each question is worth

More information

Wetland & Floodplain Functional Assessments and Mapping To Protect and Restore Riverine Systems in Vermont. Mike Kline and Laura Lapierre Vermont DEC

Wetland & Floodplain Functional Assessments and Mapping To Protect and Restore Riverine Systems in Vermont. Mike Kline and Laura Lapierre Vermont DEC Wetland & Floodplain Functional Assessments and Mapping To Protect and Restore Riverine Systems in Vermont Mike Kline and Laura Lapierre Vermont DEC NWI+ Hydro-Geomorphic Characterization of Wetlands and

More information

1 BASIC CONCEPTS AND MODELS

1 BASIC CONCEPTS AND MODELS 1 BASIC CONCEPTS AND ODELS 1.1 INTRODUCTION This Volume III in the series of textbooks is focused on applications of environmental isotopes in surface water hydrology. The term environmental means that

More information

SCOPE OF PRESENTATION STREAM DYNAMICS, CHANNEL RESTORATION PLANS, & SEDIMENT TRANSPORT ANALYSES IN RELATION TO RESTORATION PLANS

SCOPE OF PRESENTATION STREAM DYNAMICS, CHANNEL RESTORATION PLANS, & SEDIMENT TRANSPORT ANALYSES IN RELATION TO RESTORATION PLANS DESIGN METHODS B: SEDIMENT TRANSPORT PROCESSES FOR STREAM RESTORATION DESIGN PETER KLINGEMAN OREGON STATE UNIVERSITY CIVIL ENGINEERING DEPT., CORVALLIS 2 ND ANNUAL NORTHWEST STREAM RESTORATION DESIGN SYMPOSIUM

More information

Delaware River Basin Commission

Delaware River Basin Commission Delaware River Basin Commission Role of Sediments in Managing PCBs in the Delaware Estuary Gregory J. Cavallo, P.G. Thomas J. Fikslin, Ph.D. NJ Monitoring Council September 21, 2016 Presentation Outline

More information

CEE 370 Environmental Engineering Principles

CEE 370 Environmental Engineering Principles Updated: 29 September 2015 Print version EE 370 Environmental Engineering Principles Lecture #9 Material Balances I Reading: Mihelcic & Zimmerman, hapter 4 Davis & Masten, hapter 4 David Reckhow EE 370

More information

Environmental impact assessment study of the new offshore dumping sites for Šventoji port in Lithuania

Environmental impact assessment study of the new offshore dumping sites for Šventoji port in Lithuania Environmental impact assessment study of the new offshore dumping sites for Šventoji port in Lithuania Introduction Summary In 2003 Lithuanian Ministry of Transport initiated the preparation of feasibility

More information

The Advanced Research WRF (ARW) Dynamics Solver

The Advanced Research WRF (ARW) Dynamics Solver Dynamics: Introduction The Advanced Research WRF (ARW) Dynamics Solver 1. What is a dynamics solver? 2. Variables and coordinates 3. Equations 4. Time integration scheme 5. Grid staggering 6. Advection

More information

Math 122 Fall Handout 11: Summary of Euler s Method, Slope Fields and Symbolic Solutions of Differential Equations

Math 122 Fall Handout 11: Summary of Euler s Method, Slope Fields and Symbolic Solutions of Differential Equations 1 Math 122 Fall 2008 Handout 11: Summary of Euler s Method, Slope Fields and Symbolic Solutions of Differential Equations The purpose of this handout is to review the techniques that you will learn for

More information

Hydrologic Analysis for Ecosystem Restoration

Hydrologic Analysis for Ecosystem Restoration Hydrologic Analysis for Ecosystem Restoration Davis, California Objectives: To provide participants with: 1) an understanding of the issues in restoration studies; 2) an overview of Corps policies and

More information

LIQUID/SOLID SEPARATIONS Filtration, Sedimentation, Centrifuges Ron Zevenhoven ÅA Thermal and Flow Engineering

LIQUID/SOLID SEPARATIONS Filtration, Sedimentation, Centrifuges Ron Zevenhoven ÅA Thermal and Flow Engineering 7 ÅA 44514 / 010 / 016 Fluid and Particulate systems 44514 /016 LIQUID/SOLID SEPARATIONS Filtration, Sedimentation, Centrifuges Ron Zevenhoven ÅA Thermal and Flow Engineering ron.zevenhoven@abo.fi 7.1

More information

Matthew W. Milligan. Kinematics. What do you remember?

Matthew W. Milligan. Kinematics. What do you remember? Kinematics What do you remember? Kinematics Unit Outline I. Six Definitions: Distance, Position, Displacement, Speed, Velocity, Acceleration II. Graphical Interpretations III. Constant acceleration model

More information

GEOG415 Mid-term Exam 110 minute February 27, 2003

GEOG415 Mid-term Exam 110 minute February 27, 2003 GEOG415 Mid-term Exam 110 minute February 27, 2003 1 Name: ID: 1. The graph shows the relationship between air temperature and saturation vapor pressure. (a) Estimate the relative humidity of an air parcel

More information

13.42 LECTURE 2: REVIEW OF LINEAR WAVES

13.42 LECTURE 2: REVIEW OF LINEAR WAVES 13.42 LECTURE 2: REVIEW OF LINEAR WAVES SPRING 2003 c A.H. TECHET & M.S. TRIANTAFYLLOU 1. Basic Water Waves Laplace Equation 2 φ = 0 Free surface elevation: z = η(x, t) No vertical velocity at the bottom

More information

Algebra I Assessment. Eligible Texas Essential Knowledge and Skills

Algebra I Assessment. Eligible Texas Essential Knowledge and Skills Algebra I Assessment Eligible Texas Essential Knowledge and Skills STAAR Algebra I Assessment Reporting Category 1: Functional Relationships The student will describe functional relationships in a variety

More information

ME 331 Homework Assignment #6

ME 331 Homework Assignment #6 ME 33 Homework Assignment #6 Problem Statement: ater at 30 o C flows through a long.85 cm diameter tube at a mass flow rate of 0.020 kg/s. Find: The mean velocity (u m ), maximum velocity (u MAX ), and

More information

Great Lakes Update. Volume 191: 2014 January through June Summary. Vol. 191 Great Lakes Update August 2014

Great Lakes Update. Volume 191: 2014 January through June Summary. Vol. 191 Great Lakes Update August 2014 Great Lakes Update Volume 191: 2014 January through June Summary The U.S. Army Corps of Engineers (USACE) monitors the water levels of each of the Great Lakes. This report provides a summary of the Great

More information

Distributive property and its connection to areas

Distributive property and its connection to areas February 27, 2009 Distributive property and its connection to areas page 1 Distributive property and its connection to areas Recap: distributive property The distributive property says that when you multiply

More information

Advanced /Surface Hydrology Dr. Jagadish Torlapati Fall 2017 MODULE 2 - ROUTING METHODS

Advanced /Surface Hydrology Dr. Jagadish Torlapati Fall 2017 MODULE 2 - ROUTING METHODS Routing MODULE - ROUTING METHODS Routing is the process of find the distribution of flow rate and depth in space and time along a river or storm sewer. Routing is also called Flow routing or flood routing.

More information

Physics 299: Computational Physics II Project II

Physics 299: Computational Physics II Project II Physics 99: Computational Physics II Project II Due: Feb 01 Handed out: 6 Jan 01 This project begins with a description of the Runge-Kutta numerical integration method, and then describes a project to

More information

Three-Tank Experiment

Three-Tank Experiment Three-Tank Experiment Overview The three-tank experiment focuses on application of the mechanical balance equation to a transient flow. Three tanks are interconnected by Schedule 40 pipes of nominal diameter

More information

Annex 29. Sediment Transport with the Danube River Flow and Sedimentation Rates along the Danube- Black Sea Navigation Route

Annex 29. Sediment Transport with the Danube River Flow and Sedimentation Rates along the Danube- Black Sea Navigation Route Annex 29 Sediment Transport with the Danube River Flow and Sedimentation Rates along the Danube- Black Sea Navigation Route The transport of sediments with the Danube River flow is the key factor shaping

More information

Modelling Dynamical Fluorescent Micro Thermal Imaging of the Heat Diffusion in the La 5 Ca 9 Cu 24 O 41 Spin Ladder Compound.

Modelling Dynamical Fluorescent Micro Thermal Imaging of the Heat Diffusion in the La 5 Ca 9 Cu 24 O 41 Spin Ladder Compound. Modelling Dynamical Fluorescent Micro Thermal Imaging of the Heat Diffusion in the La 5 Ca 9 Cu 4 O 41 Spin Ladder Compound. E.I. Khadikova* 1, M.Montagnese, F. de Haan 1, P.H.M. van Loosdrecht 1,. 1 Zernike

More information

Note. Design via State Space

Note. Design via State Space Note Design via State Space Reference: Norman S. Nise, Sections 3.5, 3.6, 7.8, 12.1, 12.2, and 12.8 of Control Systems Engineering, 7 th Edition, John Wiley & Sons, INC., 2014 Department of Mechanical

More information

Advanced Hydrology Prof. Dr. Ashu Jain Department of Civil Engineering Indian Institute of Technology, Kanpur. Lecture 6

Advanced Hydrology Prof. Dr. Ashu Jain Department of Civil Engineering Indian Institute of Technology, Kanpur. Lecture 6 Advanced Hydrology Prof. Dr. Ashu Jain Department of Civil Engineering Indian Institute of Technology, Kanpur Lecture 6 Good morning and welcome to the next lecture of this video course on Advanced Hydrology.

More information

PONDNET.WK1 - Flow and Phosphorus Routing in Pond Networks

PONDNET.WK1 - Flow and Phosphorus Routing in Pond Networks PONDNET.WK1 - Flow and Phosphorus Routing in Pond Networks Version 2.1 - March 1989 William W. Walker, Jr. Ph.D., Environmental Engineer 1127 Lowell Road, Concord, Massachusetts 01742 508-369-8061 PONDNET.WK1

More information

Department of Hydro Sciences, Institute for Urban Water Management. Urban Water

Department of Hydro Sciences, Institute for Urban Water Management. Urban Water Department of Hydro Sciences, Institute for Urban Water Management Urban Water 1 Global water aspects Introduction to urban water management 3 Basics for systems description 4 Water transport 5 Matter

More information

Math 122 Fall Unit Test 2 Review Problems Set A

Math 122 Fall Unit Test 2 Review Problems Set A Math 122 Fall 2008 Unit Test 2 Review Problems Set A We have chosen these problems because we think that they are representative of many of the mathematical concepts that we have studied. There is no guarantee

More information

Dynamics of the Ems Estuary

Dynamics of the Ems Estuary Dynamics of the Ems Estuary Physics of coastal systems Jerker Menninga 0439738 Utrecht University Institute for Marine and Atmospheric research Utrecht Lecturer: Prof. dr. H.E. de Swart Abstract During

More information

Circulation, Temperature and Dissolved Oxygen in Lake Erie

Circulation, Temperature and Dissolved Oxygen in Lake Erie Circulation, Temperature and Dissolved Oxygen in Lake Erie Ram Yerubandi Environment Canada/ National Water Research Institute Burlington, Canada Nathan Hawley NOAA-Great Lakes Environmental Laboratory

More information

NATIONAL UNIVERSITY OF SINGAPORE FACULTY OF SCIENCE SEMESTER 1 EXAMINATION Nov/Dec 2009 Time allowed :

NATIONAL UNIVERSITY OF SINGAPORE FACULTY OF SCIENCE SEMESTER 1 EXAMINATION Nov/Dec 2009 Time allowed : NATIONAL UNIVERSITY OF SINGAPORE FACULTY OF SCIENCE SEMESTER 1 EXAMINATION 2009-2010 Mathematics II Nov/Dec 2009 Time allowed : 2 hours INSTRUCTIONS TO CANDIDATES 1 This examination paper contains SIX

More information

Sediments: a source of chemicals for the marine environment, in more than one way. Jos van Gils 1, Remi Laane 1, Kees van de Ven 2

Sediments: a source of chemicals for the marine environment, in more than one way. Jos van Gils 1, Remi Laane 1, Kees van de Ven 2 Sediments: a source of chemicals for the marine environment, in more than one way Jos van Gils 1, Remi Laane 1, Kees van de Ven 2 1 DELTARES, The Netherlands 2 RIJKSWATERSTAAT Water Service, The Netherlands

More information

Module 6: Implicit Runge-Kutta Methods Lecture 17: Derivation of Implicit Runge-Kutta Methods(Contd.) The Lecture Contains:

Module 6: Implicit Runge-Kutta Methods Lecture 17: Derivation of Implicit Runge-Kutta Methods(Contd.) The Lecture Contains: The Lecture Contains: We continue with the details about the derivation of the two stage implicit Runge- Kutta methods. A brief description of semi-explicit Runge-Kutta methods is also given. Finally,

More information

StreamStats: Delivering Streamflow Information to the Public. By Kernell Ries

StreamStats: Delivering Streamflow Information to the Public. By Kernell Ries StreamStats: Delivering Streamflow Information to the Public By Kernell Ries U.S. Department of the Interior U.S. Geological Survey MD-DE-DC District 410-238-4317 kries@usgs.gov StreamStats Web Application

More information

A NEMO-based hydrodynamic/hydraulic system for the Great Lakes. F. Dupont, P. Chittibabu, A. Huang, R. Yerubandi, V. Fortin, Y. Lu

A NEMO-based hydrodynamic/hydraulic system for the Great Lakes. F. Dupont, P. Chittibabu, A. Huang, R. Yerubandi, V. Fortin, Y. Lu A NEMO-based hydrodynamic/hydraulic system for the Great Lakes F. Dupont, P. Chittibabu, A. Huang, R. Yerubandi, V. Fortin, Y. Lu Objectives: Development of a coupled hydrological forecasting system for

More information

Root Locus Design Example #3

Root Locus Design Example #3 Root Locus Design Example #3 A. Introduction The system represents a linear model for vertical motion of an underwater vehicle at zero forward speed. The vehicle is assumed to have zero pitch and roll

More information

Heavy Metal Pollution in Rivers and Estuaries

Heavy Metal Pollution in Rivers and Estuaries Heavy Metal Pollution in Rivers and Estuaries T. Sharp and P. Hagan 1 Introduction The presentation given by Dr C. Ridgway at the opening of the Study Group detailed some of the processes that occur during

More information

Review: Nonideal Flow in a CSTR

Review: Nonideal Flow in a CSTR L3- Review: Nonideal Flow in a CSTR Ideal CSTR: uniform reactant concentration throughout the vessel Real stirred tank Relatively high reactant concentration at the feed entrance Relatively low concentration

More information

Figure 1. Which part of the river is labelled in Figure 1? a) Mouth b) Source c) Lower course d) channel

Figure 1. Which part of the river is labelled in Figure 1? a) Mouth b) Source c) Lower course d) channel Rivers 1. Study Figure 1 showing the long profile of a river Figure 1 A Which part of the river is labelled in Figure 1? a) Mouth b) Source c) Lower course d) channel (1 mark) 2. Complete the sentences

More information

Nitrogen and phosphorus dynamics in restored riverine floodplains in intensively managed watersheds

Nitrogen and phosphorus dynamics in restored riverine floodplains in intensively managed watersheds Nitrogen and phosphorus dynamics in restored riverine floodplains in intensively managed watersheds Sara McMillan 1, Alex Johnson 1, Celena Alford 1, Greg Noe 2, Venkatesh Merwade 1, Sayan Dey, 1 Siddharth

More information

Appendix D. Model Setup, Calibration, and Validation

Appendix D. Model Setup, Calibration, and Validation . Model Setup, Calibration, and Validation Lower Grand River Watershed TMDL January 1 1. Model Selection and Setup The Loading Simulation Program in C++ (LSPC) was selected to address the modeling needs

More information

Sediment Transport, Numerical Modeling and Reservoir Management some Concepts and Applications

Sediment Transport, Numerical Modeling and Reservoir Management some Concepts and Applications Sediment Transport, Numerical Modeling and Reservoir Management some Concepts and Applications CEMRACS 2013 August 6 th Magali Jodeau EDF R&D LNHE magali.jodeau@edf.fr Overview of the presentation What

More information

Introduction to BASEMENT Basic Simulation Environment for Computation of Environmental Flow and Natural Hazard Simulation

Introduction to BASEMENT Basic Simulation Environment for Computation of Environmental Flow and Natural Hazard Simulation Introduction to BASEMENT Basic Simulation Environment for Computation of Environmental Flow and Natural Hazard Simulation Numerical Hydraulics Autumn semester 2016 Prof. Dr. Markus Holzner Author: Pascal

More information

Characteristics of Linear Functions (pp. 1 of 8)

Characteristics of Linear Functions (pp. 1 of 8) Characteristics of Linear Functions (pp. 1 of 8) Algebra 2 Parent Function Table Linear Parent Function: x y y = Domain: Range: What patterns do you observe in the table and graph of the linear parent

More information

Exchange of Volatiles between Air and Water, Lecture 5b, Contaminant Fate and Transport in the Environment (Chapter 2)

Exchange of Volatiles between Air and Water, Lecture 5b, Contaminant Fate and Transport in the Environment (Chapter 2) Exchange of Volatiles between Air and Water, Lecture 5b, Contaminant Fate and Transport in the Environment (Chapter 2) Conrad (Dan) Volz, DrPH, MPH Bridgeside Point 100 Technology Drive Suite 564, BRIDG

More information

Calculus Example Exam Solutions

Calculus Example Exam Solutions Calculus Example Exam Solutions. Limits (8 points, 6 each) Evaluate the following limits: p x 2 (a) lim x 4 We compute as follows: lim p x 2 x 4 p p x 2 x +2 x 4 p x +2 x 4 (x 4)( p x + 2) p x +2 = p 4+2

More information

Nutrient and Sediment Cycling and Retention in Urban Floodplain Wetlands

Nutrient and Sediment Cycling and Retention in Urban Floodplain Wetlands Nutrient and Sediment Cycling and Retention in Urban Floodplain Wetlands Greg Noe, Cliff Hupp, Nancy Rybicki, Ed Schenk, and Jackie Batson National Research Program, Reston VA U.S. Department of the Interior

More information

EXPERIMENT 1 REACTION RATE, RATE LAW, AND ACTIVATION ENERGY THE IODINE CLOCK REACTION

EXPERIMENT 1 REACTION RATE, RATE LAW, AND ACTIVATION ENERGY THE IODINE CLOCK REACTION PURPOSE: To determine the Rate Law and the Activation Energy for a reaction from experimental data. PRINCIPLES: The Rate Law is a mathematical expression that predicts the rate of a reaction from the concentration

More information

1. Batch adsorption. Rapid adsorption

1. Batch adsorption. Rapid adsorption . Batch adsorption Rapid adsorption Mass Balance On the solute in the liquid dy εv H ( yf y) ( ε ) V dt On the adsorbent dq dt () V : tank volume y : effluent concentration y F : fed concentration H :

More information

Water Level Analysis of Lower St. Marys River September 15, 2010

Water Level Analysis of Lower St. Marys River September 15, 2010 Water Level Analysis of Lower St. Marys River September 15, 21 Purpose and Scope This report presents the results of the data analysis of the St. Marys River levels and flows in support of several study

More information

The River Restoration Centre therrc.co.uk. Understanding Fluvial Processes: supporting River Restoration. Dr Jenny Mant

The River Restoration Centre therrc.co.uk. Understanding Fluvial Processes: supporting River Restoration. Dr Jenny Mant The River Restoration Centre therrc.co.uk Understanding Fluvial Processes: supporting River Restoration Dr Jenny Mant Jenny@therrc.co.uk Understanding your catchment Hydrology Energy associated with the

More information