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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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