## Principles of surface water quality modeling and controlThis book teaches the fundamentals and principles which underlie the mathematical modeling techniques used to analyze the quality of surface waters. The text first provides an overview of the different bodies of water in which water quality problems need to be addressed before examining specific problems that occur across all bodies of water. |

### From inside the book

Results 1-3 of 52

Page 200

V,tf ,5, (4.49) at V2^T = W2 + E'n(s] - s2) - V2K2s2 (4.50) at where the bulk

mixing coefficient, E\2 [L3/T], is given by E;2 = %^ (4.51) for £12 as the

dispersion coefficient [L2/T], An as the interfacial area [L2] between layers 1 and

2 ...

V,tf ,5, (4.49) at V2^T = W2 + E'n(s] - s2) - V2K2s2 (4.50) at where the bulk

**vertical**mixing coefficient, E\2 [L3/T], is given by E;2 = %^ (4.51) for £12 as the

**vertical**dispersion coefficient [L2/T], An as the interfacial area [L2] between layers 1 and

2 ...

Page 203

4.3.1.1 Estimation of

between two layers in a stratified lake is an important parameter that determines

the

4.3.1.1 Estimation of

**Vertical**Dispersion Coefficient The degree of**vertical**mixingbetween two layers in a stratified lake is an important parameter that determines

the

**vertical**gradients of water quality as shown in Eqs. 4.54 and 4.55.Page 205

As the density gradient (dp/dZ) increases, the stability increases and the

mixing and dispersion decrease. For example, at N = 10~6 (s-2), E2 from Eq.

4.61 is 14 cm2/s and as N increases to 10~5 (s-2), E. drops to 2 cm2/s. Table 4.5

...

As the density gradient (dp/dZ) increases, the stability increases and the

**vertical**mixing and dispersion decrease. For example, at N = 10~6 (s-2), E2 from Eq.

4.61 is 14 cm2/s and as N increases to 10~5 (s-2), E. drops to 2 cm2/s. Table 4.5

...

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### Contents

Rivers and Streams | 29 |

Estuaries Bays and Harbors | 91 |

Lakes | 173 |

Copyright | |

8 other sections not shown

### Other editions - View all

Principles of Surface Water Quality Modeling and Control Robert V. Thomann,John A. Mueller No preview available - 1987 |

### Common terms and phrases

analysis approximately aquatic assumed average bacteria biomass calculated CBOD CBODU chemical chlorophyll coliform completely mixed constant decay rate deficit depth discharge dispersion coefficient dissolved oxygen downstream effect effluent epilimnion estimate estuary eutrophication Figure finite difference fish flow given heat Hydroscience hypolimnion increase indicated input lake lb/day load loss rate m/day mass balance maximum measured mg/C mg/l NBOD nitrification nitrogen Note nutrient organic outfall oxidation parameters particulate partition coefficient phosphorus photosynthesis phytoplankton plant point source range ratio reaeration reduced relationship respiration result river runoff salinity Sample Problem saturation sediment segment settling shown in Fig shows steady stream substance surface Table Thomann tidal Toro total phosphorus toxicant treatment upstream uptake USEPA values variable velocity vertical waste water body water column water quality water quality modeling water temperature zero zooplankton