Current Directions in Climate Change Research

This book series intend to address the problems covered under SDG-13 and interconnecting SDG-6, 9 & 11 for effective actions/decision making which is based on latest spatio-temporal analysis and simulation modeling for a wider set of societal problems that play a vital role to achieve sustainable development goal against climate change impacts. It covers modern computational technique and data modeling for analysis and simulation pragmatic solution in spatial domain for a wider set of problems has been emerged more relevant for engineers and scientists.

Key Features:

Covers recent Approaches in Dynamic Adaptive Modeling in Climate Change via a Machine Learning perspective;

Includes urban Sustainability in Changing Landscape under Climate Change: Institutional Policies, Workflows and Implementation using Artificial Intelligence;

Describes Natural Resource Scarcity, Contamination and Management; and

Develops Future Frameworks to Combat Climate Change Impacts

Please submit your book ideas to series editors

Akhilesh Kumar Yadav, Ph.D., MIE, Indian Institute of Technology (Banaras Hindu University), Varanasi, India [email protected]

Satya Prakash Maurya, Ph.D., Indian Institute of Technology (Banaras Hindu University), Varanasi, India