Description
Book SynopsisLand 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 sedimen
Table of Contents
Introduction to Watershed Management. Characteristics of Watershed. Soil Erosion and Its Control. Water Harvesting. Water Quality Management in Watershed. Groundwater. Flood and Drought. Sediment Sampling and Transport. Runoff. Application of Artificial Intelligence for Prediction of Ground Water Fluctuation. Prediction of Flood Using Hybrid ANFIS-FFA Approaches in Barak River Basin. Prophecy of Sediment Load Using Hybrid AI Approaches at Various Gauge Station in Mahanadi River Basin, India. Scheming of Runoff Using Hybrid ANFIS for a Watershed: Western Odisha, India. Application of Hybrid Neural Network Techniques for Drought Forecasting.
