"Water Resources Management and Modeling" ed. by Purna Nayak

The purpose of this book is to put together recent developments on hydrology and water resources engineering. First section covers surface water modeling and second section deals with groundwater modeling. The aim of this book is to focus attention on the management of surface water and groundwater resources. It is written for the practicing professionals and students, mathematical modelers, hydrogeologists and water resources specialists.

Most chapters give insights into the interpretation of field information, development of models, the use of computational models based on analytical and numerical techniques, assessment of model performance and the use of these models for predictive purposes.

Contents
Part 1 Surface Water Modeling
Chapter 1 Tools for Watershed Planning - Development of a Statewide Source Water Protection System (SWPS)
Chapter 2 Strengths, Weaknesses, Opportunities and Threats of Catchment Modelling with Soil and Water Assessment Tool (SWAT) Model
Chapter 3 Modelling in the Semi Arid Volta Basin of West Africa
Chapter 4 Consequences of Land Use Changes on Hydrological Functioning
Chapter 5 Fuzzy Nonlinear Function Approximation (FNLLA) Model for River Flow Forecasting
Chapter 6 San Quintin Lagoon Hydrodynamics Case Study
Chapter 7 Unsteady 1D Flow Model of Natural Rivers with Vegetated Floodplain - An Application to Analysis of Influence of Land Use on Flood Wave Propagation in the Lower Biebrza Basin
Chapter 8 Hydrology and Methylmercury Availability in Coastal Plain Streams
Chapter 9 Contribution of GRACE Satellite Gravimetry in Global and Regional Hydrology, and in Ice Sheets Mass Balance
Part 2 Groundwater Modeling
Chapter 10 Simplified Conceptual Structures and Analytical Solutions for Groundwater Discharge Using Reservoir Equations
Chapter 11 Integration of Groundwater Flow Modeling and GIS
Chapter 12 Percolation Approach in Underground Reservoir Modeling
Chapter 13 Quantity and Quality Modeling of Groundwater by Conjugation of ANN and Co-Kriging Approaches