Water Resource Modeling and Computational Technologies: Volume 7
Published on 21. October 2022
Book
Paperback/Softback
720 pages
978-0-323-91910-4 (ISBN)
Description
Water Resource Modeling and Computational Technologies, Seventh Edition provides the reader with a comprehensive overview of the applications that computational techniques have in various sectors of water resource engineering. The book explores applications of recent modeling and computational techniques in various sectors of water resource engineering, including hydroinformatics, irrigation engineering, climate change, hydrologic forecasting, floods, droughts, image processing, GIS, water quality, aquifer mapping, basin scale modeling, computational fluid dynamics, numerical modeling of surges and groundwater flow, river engineering, optimal reservoir operation, multipurpose projects, and water resource management. As such, this is a must read for hydrologists, civil engineers and water resource managers.
More details
Series
Language
English
Place of publication
Philadelphia
United States
Target group
College/higher education
Product notice
Paperback (trade)
Illustrations
160 illustrations (100 in full color); Illustrations
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 37 mm
Weight
1221 gr
ISBN-13
978-0-323-91910-4 (9780323919104)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Mohammad Zakwan | Abdul Wahid | Majid Niazkar
Water Resource Modeling and Computational Technologies
E-Book
10/2022
Elsevier
€131.00
Available for download
Persons
Dr. Mohammad Zakwan PhD is presently working as an Assistant Professor in Maulana Azad National University, Hyderabad, India. He has published numerous papers and has a demonstrated history of working in Water Resource Engineering. He has been serving as an editorial board member and reviewer for various journals. His research interests include modelling of infiltration, modelling river water quality, sediment rating curves, stage discharge curves, computation of effective discharge and dominant discharge, climate change, trend analysis in water resources, river engineering, hydraulics, and hydrology of rivers. Dr. Mohammad Zakwan was a recipient of Gold medals during his M.Tech and B.Tech. He was awarded MHRD GATE scholarship and CSIR NET JRF scholarship for his M.Tech and PhD, respectively. Prof. Abdul Wahid is presently serving as Professor and Dean of the School of Technology, Maulana Azad National University, Hyderabad, India. He has also served as Visiting Professor (Research) in National Defense University Malaysia. He has over 20 years of teaching experience. He has published numerous papers in Science Citation Indexed and Scopus Journals with a demonstrated history of working in Computational Intelligence. He has been serving as an editorial board member and reviewer for various journals. He has been session chair and keynote speaker in many international conferences. His research interests include Computer Architecture, Artificial Neural Network, Computer Security and Reliability. Dr. Majid Niazkar received his BS degree in Civil Engineering (2012), MS degree in Hydraulic Structures (2014) and PhD degree in Water Resources (2019) from the Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. He is currently a research assistant in the Department of Civil and Environmental Engineering, Shiraz University. His research interests include hydrology (specifically: flood modeling and routing), open channel hydraulics, water resources management, artificial intelligence (AI) applications in water resources, parameter estimation, bed roughness prediction, water distribution networks, optimization, numerical modeling, river engineering and sediment transport, groundwater, assessing the impacts of climate change, and interdisciplinary topics like AI in medicine. He has published more than 60 papers in international journals and conference proceedings. Dr. Uday Chatterjee is an Assistant Professor at Bhatter College in Dantan, Paschim Medinipur, West Bengal, India, and an Applied Geographer with a Post-Graduate in Applied Geography from Utkal University and a Doctorate in Applied Geography from Ravenshaw University in Cuttack, Odisha. He has contributed to a number of research papers that have been published in reputable national and international publications, as well as edited book volumes. He has also organized (as the convener) a Faculty Development Program on "Modern ways of teaching and advanced research methods," which was funded by the Indian Council of Social Science Research (ICSSR). Urban Planning, Social and Human Geography, Applied Geomorphology, Hazards & Disasters, Environmental Issues, Land Use and Rural Development are some of his research interests. The West Bengal Pollution Control Board (WBPCB) of the Government of West Bengal, India, financed his research. He has worked as a reviewer for a number of international publications. Dr. Uday Chatterjee is currently the lead editor of the Springer Special Issue (S.I) on Urbanism, Smart Cities, and Modelling.
Editor
Assistant Professor, Department of Civil Engineering, Maulana Azad National Urdu University, Hyderabad, Telangana, India
Professor and Dean, School of Technology, Maulana Azad National University, Hyderabad, India
Research assistant, Department of Civil and Environmental Engineering, Shiraz University, Iran
Assistant Professor, Department of Geography, Bhatter College (Affiliated to Vidyasagar University), Dantan, India
Content
Section I - Introduction
1. Artificial intelligence and machine learning in water resources engineering
Section II - Application of Artificial Intelligence to Water Resources
2. Demystifying Artificial Intelligence amidst Sustainable Agricultural Water Management
3. Bidirectional Long Short-Term Memory Based Empirical Wavelet Transform: a New Hybrid Artificial Intelligence Model for Robust Prediction of Soil Moisture Content
4. Fuzzy logic modeling of groundwater potential in Marinduque, Philippines
5. Soft-computing approach to scour depth prediction under wall jets
Section III - Image Processing Applications in Water Resources
6. Assessment of Water Resources using Remote Sensing and GIS Techniques
7. Establishing Spatial Relationships Between Land Use and Water Quality Influenced by Urbanization
8. Satellite sensors, machine learning and river channel unit types: A review
9. Geospatial modeling in the assessment of environmental resources for sustainable water resource management in a semi-arid region: A GIS approach
10. Study of morphologic changes of Arvand River in the past and predicting its future changes
11. Rainfall runoff modelling using GIS: a case study of Gonbad Kavous, Iran
12. GIS-Based Hydrological Models for a Sustainable Groundwater Management: An Overview
13. Development of Rainfall-Runoff Model Using ANFIS with an Integration of GIS: A Case Study
14. Assessing the impact of land use and land cover changes on the water balances in an urbanized peninsular region of India
Section IV - Advances in Hydroinformatics mitigation
15. Random Vector Functional Link Network based On Variational Mode Decomposition for Accurate Prediction of River Water Turbidity
16. Water Quality Management: Development of a Fuzzy based index in Hydroinformatics platform
17. Appraisal Of Multi-Gene Genetic Programming For Estimating Optimal Properties Of Lined Open Channels With Circular Shapes Incorporating Constant And Variable Roughness Scenarios
18. Geoinformatics based assessment of gross irrigation requirement of different crops grown in the south-western region of Haryana, India
Section V - Advances in Watershed Modelling
19. Theorical background and application of numerical models to surface water resources
20. Prophecy of groundwater fluctuation through SVM-FFA hybrid approaches in arid watershed, India
21. Basin-scale Subsurface Hydrology: Modelling of a stressed and data-scarce aquifer using hillslope-based approach
Section VI - Advances in Numerical Modelling in Water Resources
22. Multiphysics modelling of groundwater flow on the example of a coupled thermo-hydro-mechanical model of infiltration of water warmer or cooler than the surroundings.
23. Hydro-Salinity Modeling of Water and Salt Dynamics in Irrigated Soil Groundwater Systems
Section VII - Optimization Techniques and Analytical Formulations in Water Resource
24. Multi-objective optimization techniques for urban water management: An Agent Modeling Approach
25. Hybrid Extreme Learning Machine Optimized Bat Algorithm based on Ensemble Empirical Mode Decomposition for Modelling Dissolved Oxygen in River
26. Application of machine learning models to side-weir discharge coefficient estimations in trapezoidal and rectangular open channels
Section VIII - Advances in Sediment Transport Modelling and River Engineering
27. The hole size analysis of bursting events around mid-channel bar using the conditional method approach
28. Magnitude Frequency Analysis of Sediment Transport: Concept, Review and Application
29. Last Century Evolution of Local Scour Measuring Techniques
Section IX - Computational Intelligence in Extreme Hydrology: Flood and Droughts
30. Understanding trends and its variability of rainfall and temperature over Patna (Bihar)
31. A review of climate change trends and scenarios (2011-2021)
32. Climate change and trend analysis of precipitation and temperature: a case study of Gilan, Iran
33. Innovative Triangular Trend analysis of monthly precipitation at Shiraz station, Iran
34. Understanding Rainfall Variability and Trends in Arid Region of Rajasthan, India
35. Flash Floods and their Impact on Natural Life Using Surface Water Model and GIS Technique at Wadi Degla Natural Reserve Area, Egypt
36. GLOF Early Warning System - Computational Challenges and Solutions
37. Flood Forecasting using novel ANFIS-WOA approach in Mahanadi river basin, India
1. Artificial intelligence and machine learning in water resources engineering
Section II - Application of Artificial Intelligence to Water Resources
2. Demystifying Artificial Intelligence amidst Sustainable Agricultural Water Management
3. Bidirectional Long Short-Term Memory Based Empirical Wavelet Transform: a New Hybrid Artificial Intelligence Model for Robust Prediction of Soil Moisture Content
4. Fuzzy logic modeling of groundwater potential in Marinduque, Philippines
5. Soft-computing approach to scour depth prediction under wall jets
Section III - Image Processing Applications in Water Resources
6. Assessment of Water Resources using Remote Sensing and GIS Techniques
7. Establishing Spatial Relationships Between Land Use and Water Quality Influenced by Urbanization
8. Satellite sensors, machine learning and river channel unit types: A review
9. Geospatial modeling in the assessment of environmental resources for sustainable water resource management in a semi-arid region: A GIS approach
10. Study of morphologic changes of Arvand River in the past and predicting its future changes
11. Rainfall runoff modelling using GIS: a case study of Gonbad Kavous, Iran
12. GIS-Based Hydrological Models for a Sustainable Groundwater Management: An Overview
13. Development of Rainfall-Runoff Model Using ANFIS with an Integration of GIS: A Case Study
14. Assessing the impact of land use and land cover changes on the water balances in an urbanized peninsular region of India
Section IV - Advances in Hydroinformatics mitigation
15. Random Vector Functional Link Network based On Variational Mode Decomposition for Accurate Prediction of River Water Turbidity
16. Water Quality Management: Development of a Fuzzy based index in Hydroinformatics platform
17. Appraisal Of Multi-Gene Genetic Programming For Estimating Optimal Properties Of Lined Open Channels With Circular Shapes Incorporating Constant And Variable Roughness Scenarios
18. Geoinformatics based assessment of gross irrigation requirement of different crops grown in the south-western region of Haryana, India
Section V - Advances in Watershed Modelling
19. Theorical background and application of numerical models to surface water resources
20. Prophecy of groundwater fluctuation through SVM-FFA hybrid approaches in arid watershed, India
21. Basin-scale Subsurface Hydrology: Modelling of a stressed and data-scarce aquifer using hillslope-based approach
Section VI - Advances in Numerical Modelling in Water Resources
22. Multiphysics modelling of groundwater flow on the example of a coupled thermo-hydro-mechanical model of infiltration of water warmer or cooler than the surroundings.
23. Hydro-Salinity Modeling of Water and Salt Dynamics in Irrigated Soil Groundwater Systems
Section VII - Optimization Techniques and Analytical Formulations in Water Resource
24. Multi-objective optimization techniques for urban water management: An Agent Modeling Approach
25. Hybrid Extreme Learning Machine Optimized Bat Algorithm based on Ensemble Empirical Mode Decomposition for Modelling Dissolved Oxygen in River
26. Application of machine learning models to side-weir discharge coefficient estimations in trapezoidal and rectangular open channels
Section VIII - Advances in Sediment Transport Modelling and River Engineering
27. The hole size analysis of bursting events around mid-channel bar using the conditional method approach
28. Magnitude Frequency Analysis of Sediment Transport: Concept, Review and Application
29. Last Century Evolution of Local Scour Measuring Techniques
Section IX - Computational Intelligence in Extreme Hydrology: Flood and Droughts
30. Understanding trends and its variability of rainfall and temperature over Patna (Bihar)
31. A review of climate change trends and scenarios (2011-2021)
32. Climate change and trend analysis of precipitation and temperature: a case study of Gilan, Iran
33. Innovative Triangular Trend analysis of monthly precipitation at Shiraz station, Iran
34. Understanding Rainfall Variability and Trends in Arid Region of Rajasthan, India
35. Flash Floods and their Impact on Natural Life Using Surface Water Model and GIS Technique at Wadi Degla Natural Reserve Area, Egypt
36. GLOF Early Warning System - Computational Challenges and Solutions
37. Flood Forecasting using novel ANFIS-WOA approach in Mahanadi river basin, India