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Water quality modeling that works

Lung, Wu-Seng.

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Water quality modeling that works

Record Type:	Electronic resources : Monograph/item
Title/Author:	Water quality modeling that works/ by Wu-Seng Lung.
Author:	Lung, Wu-Seng.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvii, 308 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1. Challenges of Modeling for Water Quality Management -- 2. Data Analysis to Understand the Modeled System -- 3. River BOD/DO Modeling with New Twists -- 4. Eutrophication Modeling: Algal Blooms, Nutrients, and Dissolved Oxygen -- 5. Modeling Analysis for pH -- 6. Modeling Pathogens in Natural Waters and Sediments -- 7. Toxics and Emerging Chemicals -- 8. Mixing Zone Analysis.
Contained By:	Springer Nature eBook
Subject:	Water quality - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-3-030-90483-8
ISBN:	9783030904838

Water quality modeling that works
Lung, Wu-Seng.

Water quality modeling that works[electronic resource] /by Wu-Seng Lung. - Cham :Springer International Publishing :2022. - xvii, 308 p. :ill. (some col.), digital ;24 cm.

1. Challenges of Modeling for Water Quality Management -- 2. Data Analysis to Understand the Modeled System -- 3. River BOD/DO Modeling with New Twists -- 4. Eutrophication Modeling: Algal Blooms, Nutrients, and Dissolved Oxygen -- 5. Modeling Analysis for pH -- 6. Modeling Pathogens in Natural Waters and Sediments -- 7. Toxics and Emerging Chemicals -- 8. Mixing Zone Analysis.

This book offers a practical guidance for environmental engineers and scientists charged with assessing the cause-and-effect of pollutants in receiving water systems. Instead of blindly running models, which is a practice seen too often in today's field that can result in results with uncertainty, modelers must first understand the physical insights of the specific water systems in order to properly calibrate the parameters of the models. This book reinforces the critical importance of properly understanding the physical attributes of water systems by drawing on the author's extensive experience in modeling with strong data support. This is also what sets this book apart from the volumes currently available in the water quality modeling field - nearly all other books in the field are categorized as textbooks, and unlike this book, offer few practical examples or exercises to follow. Environmental engineers and scientists engaged in quantifying the water quality impacts of pollutants to specific water systems will find this book valuable in their day-to-day practices. This book is a necessary volume for water quality engineers and scientists to consult for the regulatory planning and management of water systems.

ISBN: 9783030904838

Standard No.: 10.1007/978-3-030-90483-8doiSubjects--Topical Terms:

546026
Water quality
--Mathematical models.

LC Class. No.: TD370 / .L86 2022

Dewey Class. No.: 628.161015118

Water quality modeling that works
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245 1 0 $a Water quality modeling that works $h [electronic resource] / $c by Wu-Seng Lung.
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300 $a xvii, 308 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1. Challenges of Modeling for Water Quality Management -- 2. Data Analysis to Understand the Modeled System -- 3. River BOD/DO Modeling with New Twists -- 4. Eutrophication Modeling: Algal Blooms, Nutrients, and Dissolved Oxygen -- 5. Modeling Analysis for pH -- 6. Modeling Pathogens in Natural Waters and Sediments -- 7. Toxics and Emerging Chemicals -- 8. Mixing Zone Analysis.
520 $a This book offers a practical guidance for environmental engineers and scientists charged with assessing the cause-and-effect of pollutants in receiving water systems. Instead of blindly running models, which is a practice seen too often in today's field that can result in results with uncertainty, modelers must first understand the physical insights of the specific water systems in order to properly calibrate the parameters of the models. This book reinforces the critical importance of properly understanding the physical attributes of water systems by drawing on the author's extensive experience in modeling with strong data support. This is also what sets this book apart from the volumes currently available in the water quality modeling field - nearly all other books in the field are categorized as textbooks, and unlike this book, offer few practical examples or exercises to follow. Environmental engineers and scientists engaged in quantifying the water quality impacts of pollutants to specific water systems will find this book valuable in their day-to-day practices. This book is a necessary volume for water quality engineers and scientists to consult for the regulatory planning and management of water systems.
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