Get Free Ebook Analytical Modeling of Solute Transport in Groundwater: Using Models to Understand the Effect of Natural Processes on Contaminant Fate and Transport
April 06, 2010Get Free Ebook Analytical Modeling of Solute Transport in Groundwater: Using Models to Understand the Effect of Natural Processes on Contaminant Fate and Transport
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Analytical Modeling of Solute Transport in Groundwater: Using Models to Understand the Effect of Natural Processes on Contaminant Fate and Transport
Get Free Ebook Analytical Modeling of Solute Transport in Groundwater: Using Models to Understand the Effect of Natural Processes on Contaminant Fate and Transport
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From the Back Cover
Emphasizes use of models to understand the impact of subsurface processes on contaminant transport Groundwater is a critical resource that is relied upon by hundreds of millions of people globally. Contamination is an important problem that threatens people's access to sources of safe, clean, and plentiful groundwater in both developed and developing countries alike. To address this problem, an understanding of how contaminants in the subsurface behave is crucial, as a result of the physical, chemical, and biological processes that affect their movement. To gain this understanding, mathematical models are applied to simulate the fate and transport of groundwater contaminants. Modeling is an excellent way to gain an understanding of how nature behaves. In particular, analytical models are great teaching tools, allowing students to visualize under greatly simplified conditions how the presence, absence, or change of a natural process may affect behavior. Analytical Modeling of Solute Transport in Groundwater: Using Models to Understand the Effect of Natural Processes on Contaminant Fate and Transport provides a strong teaching tool, going well beyond previous endeavors by not only presenting the models used to describe groundwater contaminant behavior but also systematically applying the models to clearly demonstrate to the reader how naturally occurring physical, chemical, and biological processes affect the fate and transport of contaminants in the subsurface. Analytical Modeling of Solute Transport in Groundwater includes: A companion website with a downloadable modeling tool that is integrated with the text, allowing the reader to conduct simulations in order to graphically demonstrate the impact of processes on groundwater contaminant behavior A compendium of analytical solutions along with examples of how these solutions are derived from the governing model equations Example illustrations showing the effect of process parameter values on remediation efficacy, as well as how simple analytical models can be used to interpret the results of field observations Researchers, students, and professionals in environmental engineering and hydrogeology studying the fate, transport, and remediation of contaminants in the subsurface will find the collected material useful in their studies.
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About the Author
Mark Goltz is a well-known authority in the field of hydrogeology and subsurface contaminant transport and remediation. He is Distinguished Professor Emeritus of Engineering and Environmental Management at the Air Force Institute of Technology, where he conducted research into the fate and transport of groundwater contaminants and contaminated groundwater remediation technologies. He has published numerous works in these areas. Junqi Huang is a hydrologist in the Ground Water and Ecosystems Restoration Division, National Risk Management Research Laboratory, US EPA. He is an experienced hydrogeological modeler, with expertise developing models for groundwater flow and transport, groundwater management, and contaminated groundwater remediation strategies.
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Product details
Hardcover: 272 pages
Publisher: Wiley; 1 edition (February 28, 2017)
Language: English
ISBN-10: 9780470242346
ISBN-13: 978-0470242346
ASIN: 0470242345
Product Dimensions:
6.3 x 1 x 9.4 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Average Customer Review:
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Amazon Best Sellers Rank:
#1,422,428 in Books (See Top 100 in Books)
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