
Watershed Management and Applications of AI
- 292 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Watershed Management and Applications of AI
About this book
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations.
Features:
- Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques
- Provides analysis of land erosion and sediment transport in watersheds from small to large scale
- Includes estimations for runoff using different methodologies with systematic approaches for each
- Discusses water harvesting and development of water yield catchments
This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.
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Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Contents
- Preface
- Authors
- Chapter 1 Introduction to Watershed Management
- Chapter 2 Characteristics of Watershed
- Chapter 3 Soil Erosion and Its Control
- Chapter 4 Water Harvesting
- Chapter 5 Water Quality Management in Watershed
- Chapter 6 Groundwater
- Chapter 7 Flood and Drought
- Chapter 8 Sediment Sampling and Transport
- Chapter 9 Runoff
- Chapter 10 Application of Artificial Intelligence for Prediction of Ground Water Fluctuation
- Chapter 11 Prediction of Flood Using Hybrid ANFIS-FFA Approaches in Barak River Basin
- Chapter 12 Prophecy of Sediment Load Using Hybrid AI Approaches at Various Gauge Station in Mahanadi River Basin, India
- Chapter 13 Scheming of Runoff Using Hybrid ANFIS for a Watershed: Western Odisha, India
- Chapter 14 Application of Hybrid Neural Network Techniques for Drought Forecasting
- Index