PRB Simulation and Source Strength Identification | Aquifer pollution remediation with PRB and contaminant source investigation

Saurav Suman (u. a.)

ISBN 10: 6202009527 / ISBN 13: 9786202009522

Published by LAP LAMBERT Academic Publishing, 2017

About this Item

PRB Simulation and Source Strength Identification | Aquifer pollution remediation with PRB and contaminant source investigation | Saurav Suman (u. a.) | Taschenbuch | 220 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202009522 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 109605339

Bibliographic Details

• Title: PRB Simulation and Source Strength Identification | Aquifer pollution remediation with PRB and contaminant source investigation
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2017
• Language: English
• ISBN 10: 6202009527
• ISBN 13: 9786202009522
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 14D millimeters 220 millimeters width by 150 millimeters height by 14 millimeters depth
• Weight: 346 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

For aquifer remediation purpose using techniques like PRB sources of pollution and their strength is required. In first section two permeable reactive barriers are simulated to check the spread of nitrate pollution in a heterogeneous anisotropic aquifer system. Finite element is applied to simulate wall and funnel type PRBs with one, two and three meter of PRB thickness and their effectiveness to reduce the nitrate below 45ppm at observation wells is examined. Cost comparisons are also made to suggest the most appropriate PRB to bring down nitrate concentration to desired limits. In the second section a rectangular and later a complex aquifer problem is simulated with finite element and differential evolution optimisation is used to find the location and load from polluting sources. Solutions are found satisfactorily. DE is appropriate for implicit, non-linear, non-differentiable and discrete objective function.

About the Author

First two authors are M.Tech. Water Resources Department of Civil Engineering IIT Bombay. Third author Prof Rastogi earned his Ph.D. degree in Civil Engineering from the University of Birmingham. He has written many books, guided several M.Tech., Ph.D. students and reviewed papers at IIT Bombay with thirty four years teaching experience.