Sustainable Technologies for Water and Environment Under Climate Change Scenario

Springer, 2025

This book discusses various aspects of water resources and environmental planning for the effective use and management of water, land, and air. Sustainable development is a holistic and systemic approach that takes into account analysis of multiple objectives, impact and risk analysis, and decision-making at the grass-roots level. Remote sensing and GIS data coupled with AI & ML techniques plays a crucial and integral role in this endeavour especially for water and environment-related problems. Remote sensing and geographic information system-based approach is required for the sustainable development of land, air, and water resources for proper utilization of resources based on their potential and limitations. The approach involves the extraction of information on soils, water resources (both surface and ground water), and integrating them with social, cultural, and economic needs of people using a GIS as a tool. Further, this integration helps in the generation of an action plan identifying specific interventions in a watershed based on contemporary technology, in consultation not only with scientific specialists in agriculture, horticulture, water resources, land use, forestry, and soil conservation, but also with social scientists, nongovernmental organizations, and beneficiary farmers in the watershed. This book also addresses recent applications of AI/ML/geoinformatics in landslides monitoring, flood mapping and management, land use/land cover mapping, water quality mapping, urban planning and development, traffic management and analysis, construction, and infrastructure development as well as mapping of natural resources. It is a state of art work complied in the edited book which will be useful for the students, researchers, academicians, and policy makers dealing with sustainable management of water resources and environment under climate change scenario with applications of AI & ML techniques in a lucid manner.

• Curatore: Hazi Azamathulla, Arun Goel, Mahesh Pal
• Anno edizione: 2025
• Editore: Springer
• Formato: EPUB3 con Adobe DRM
• Lingua: Inglese
• Compatibilità: Tutti i dispositivi (eccetto Kindle)
• Layout: Reflowable
• EAN: 9789819698417