Sustainable Technologies for Water and Environment Under Climate Change Scenario - Select Proceedings of SMET 2024-Vol 2

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.

List of contents

Morphometric Parameter Analysis Of Koramangala Watershed.- Anfis Model For Prediction Of Critical Strain Without Back-Calculation Of Layer Moduli.- Land Use And Land Cover Dynamics And Its Impact On Lst In Thakurdwara, Moradabad, U.P. India.- Machine Learning-Based Boosting Algorithm For Analysis Of Railway Bridges Under Moving Loads And Earthquake Excitation.- Artificial Intelligence Based Prediction Of Natural Frequency Of Monopile Supported Offshore Wind Turbines.-  Statistical Characteristic Of Seasonal And Annual Rainfall: A Case Study Of Bhadar River Basin, Saurashtra, Gujarat.- A Semi Distributed Hydrological Model Using Arc-Swat For The Administrative Boundary Condition For Damoh District Of Madhya Pradesh In Central India.- Monitoring And Analysis Of Groundwater Recharge Dynamic Evaluating The Impact Of Climate Variation And Urbanization On Runoff In Karamana River Basin, Kerala, India.- Optimized Rain Gauge Network: Integrating Analytical Hierarchy Process (Ahp) With Hydrologic Modelling For Flood Management.- Streamflow Estimation Of Lower Godavari River Basin Using Semi-Distributed Hydrological Model.- Drought Assessment Of Rajasthan Using Ndvi, Vci, And Spi Index.- Turbulent Flow Patterns On Surfaces With Different Roughness Heights Using Cfd For Fixed Discharge.- Estimation Of Clear Water Maximum Scour Depth At Eccentric Pier Using Light Gradient Boosting Machine And Random Forest Regressor.- Effect Of Crop Sowing Date On Water Balance In Tropical Regions Of India For Kharif Season.- Assessment Of Rain Garden Infiltration Rate Using Support Vector Machine.- Estimation Of Runoff Using Scs-Cn Method Through Rs And Gis Techniques.- Assessing The Extent Of Seawater Intrusion Near Mahi River Basin Near Vadodara.- Assessing Groundwater Quality In Rohtak District: A Comprehensive Analysis Of Physico-Chemical Parameters For The Year 2020.- Geospatial Analysis Of Groundwater Depletion In Kurukshetra, Haryana: A Decadal Study.

About the author

Arun Goel (b 1964), B.Tech (1985), M Tech (1989) & Ph D (1999) from REC Kurukshetra, has been working as Professor in Civil Engineering Department, NIT, Kurukshetra since July 2009. He has more than 39 years of teaching, research, and administration experience. He was Dean (Estate), Dean (Faculty Welfare) and Head (Civil Engineering Deptt) at NIT, Kurukshetra
He has published about 250 technical papers in refereed international/national journals and conferences. He has presented research papers and chaired sessions about 25 international and 20 national conferences in India and abroad. He has been granted four patents in the field of hydraulic engineering. He has guided 06 Ph.D. theses, 46 M.Tech dissertations, 60 B.Tech and 10 AMIE projects. He is the recipient of numerous awards including G. M. Nawathe award in HYDRO-2000, HYDRO-2018, Second-best paper award in WHSC-2009 at IIT Kanpur, Visiting International Fellowship award of ASCE, USA, in 2009, Sir Arthur Cotton Award for best research paper by Institution of Engineers (I) in Dec 2010, Eminent Engineering Personality Award by IE(I) in 2015 and Best faculty award (Research) in 2018 and Best faculty award (Administration) in 2021 from NIT Kurukshetra. He is fellow of professional bodies like ISH, IE(I), IWRS, IAH and IWWA. 

Summary

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.

Product details

• Assisted by: Hazi Azamathulla (Editor), Arun Goel (Editor), Mahesh Pal (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Release: 04.10.2025, delayed
• EAN: 9789819698400
• ISBN: 978-981-9698-40-0
• No. of pages: 312
• Illustrations: X, 312 p. 164 illus., 158 illus. in color.
• Series: Lecture Notes in Civil Engineering
• Subjects: Natural sciences, medicine, IT, technology > Technology > Structural and environmental engineering; Künstliche Intelligenz, Artificial Intelligence, technischer Umweltschutz, Vermessungswesen, Kostenplanung, Konstruktiver Ingenieurbau, Baustatik, Civil Engineering, Geoengineering, Sustainable Architecture/Green Buildings, Soil and Water Protection, Surveying, Environmental Civil Engineering, Sustainable practices, AI & ML, Environmental Planning and Management, GIS and RS