Mechanical Engineering

AAP Research Notes on Optimization and Decision Making Theories

Sustainable Development
A Geospatial and Statistical Perspective

Editors: Qazi Mazhar Ali, PhD
Rizwan Ahmad, PhD
Irfan Ali, PhD
Prasenjit Chatterjee, PhD

 Sustainable Development

published
Pub Date: October 2025
Hardback Price: see ordering info
Hard ISBN: 9781779643230
E-Book ISBN: 9781779643247
Pages: 288pp w/index
Binding Type: Hardback / ebook
Series: AAP Research Notes on Optimization and Decision Making Theories
Notes: 11 color and 78 b/w illustrations

This new volume provides a comprehensive exploration of the intersection between the United Nations’ Sustainable Development Goals (SDGs) and geospatial technology. The book analyzes how geospatial and statistical information, including satellite imagery, Geographic Information System, remote sensing, and statistical tools and data analysis techniques are effectively employed to assess, monitor, and facilitate sustainable development initiatives.

The book begins with looking at multi-criteria optimization modeling to help meet sustainable development goals, employing a mathematical model aimed at enhancing energy efficiency, bolstering economic productivity, and curbing greenhouse gas emissions. The volume goes on to explore research on employing geospatial and statistical approaches for spatiotemporal mapping of air pollutants, mapping groundwater tables, gauging potential evapotranspiration, measuring precipitation, analyzing variability in climate over decades, monitoring of land surface temperatures, and more.

Chapters also use a geospatial and statistical approach to measure the quality-of-life index for people and to discuss socio-economic issues in conjunction with the Sustainable Development Goals.

Key features:
· Discusses critical edge GIS applications used for predictive modeling in sustainability studies
· Includes case studies with a broad geographic scope that cater to multiple levels of expertise
· Looks at the use of GIS at different scales of cultural landscapes and brings together the experiences of leading experts in the field

The research and studies presented in Sustainable Development: A Geospatial and Statistical Perspective offer inspiration and ideas for solutions to the unique challenges in achieving SDGs across the globe.

CONTENTS:
Preface

1. Multi-Criteria Optimization Modeling for the Sustainable Development Goals of Nigeria: Mission 2030

U. M. Modibbo, M. Mijinyawa, M. A. Ahmed, and O. U. Cynthia

2. Simulating the Impacts of Land Use Transformations on Flood Potential Using a Physics-Based Distributed Hydrological Model, in the Palani Hills, South India
Haris Hasan Khan, Arina Khan, Aswathy N. S., Asif Iqubal

3. Decadal Land Use/Land Cover Change Detection Using Remote Sensing and GIS Technique in Karnataka, South India
Qazi Zeeshan, Mohammed Irshad, Rizwan Ahmad, P. S. Roy, and Mohammed Zaid Qamar

4. Spatiotemporal Mapping of Air Pollutants in Delhi During the Haze Period
Farheen Mahtab, Tanzeel Khatoon, and Anand Sharma

5. Mapping the Groundwater Table in an Alluvial Aquifer Using Digital Elevation Model, GIS, and Geostatistics
Haris Hasan Khan, Arina Khan, Ghazala Siraj, and Taqveem Ali Khan

6. Spatial Regression and Temporal Analyses Using GIS: A Case Study of India
Qazi Mazhar Ali, Mohammad Sajid, Rizwan Ahmad, Ateebur Rehman Sherwani, and Akram Javed

7. A Spatially Explicit Framework for Computing the Quality of Life Index for People in the Cauvery River Basin
Abhishek Gupta, Ramesh Krishnamurthy, Mohammad Sajid, and Mohammed Zaid Qamar

8. A Remote Sensing and GIS-Based Two-Decadal Spatiotemporal Analysis of the Delhi Region Due to Variability in Climate
Waiza Khalid, Samreen Fatima, Anand Sharma, and Mohammad Sajid

9. Measurements of Precipitation over the Antarctic Region: Ground-Based and Satellite Measurements
Stephy Abraham, Alia Yusuf, Rounaq Goenka, and Ziaur Rehman Ansari

10. Spatiotemporal Monitoring of Land Surface Temperature for Assessing Heat-Related Health Risks
Zeba Khanam, Mansoor Alam Siddiqui, Uzma Ajmal, Saleha Jamal, and Sk Ajim Ali

11. A Multi-Attribute Optimization Modeling of Socio-Economic Issues in Sustainable Development Goals of India: Mission 2030
Jahangir Chauhan, Aqsa Anjum, U. M. Modibbo, and Irfan Ali

12. Energy Supply Cost Sustainability: A Case Study of an Educational Institution
Aqsa Anjum and Jahangir Chauhan

13. Exploring Market Hierarchy and Infrastructural Facilities for Sustainable Rural Development in India: A Geographical Perspective
Mohammad Muqeet Khan, Tanveer Asif, and Niraj Prakash Joshi

14. Quantification of Potential Evapotranspiration from Pindari-Kafni Glacier Valleys in Kumaun Central Himalaya
Pankaj Chauhan, Sameer Tiwari, and Kalachand Sain

Index


About the Authors / Editors:
Editors: Qazi Mazhar Ali, PhD
Former Dean Faculty of Science and Professor, Department of Statistics & Operations Research, Aligarh Muslim University, Aligarh, India

Qazi Mazhar Ali, DPhil (Oxon), is the former Dean of the Faculty of Science and Professor of Statistics at the Department of Statistics & Operations Research, Aligarh Muslim University (AMU), Aligarh, India. He earned his doctorate degree from the University of Oxford in 1993. His research interest includes image data analysis. Recently, he has been designated as the primary point of contact for the United Nations Global Geospatial Information Management (UN-GGIM), and he is actively engaged and focusing on Sustainable Development Goals 2030 through a statistical data network. Within his broad area, he has published his work in digital image analysis, classification (remotely sensed images), epidemiology, and bioinformatics in UK and Germany. His epidemiology paper appeared in the Journal of Helminthology (UK). In terms of innovation in teaching, he contributed in popularizing PC-based computer education in the 1980s and continues to advance it still. Additionally, he contributed in the efforts to revive the instructions for the award of degrees in remote sensing at Aligarh Muslim University. He supervised several MSc projects on Sustainable Development Goals. In the past, he taught courses on various topics, including simulation, computer programming, demography, statistics for business studies, biostatistics, etc. Furthermore, he had been actively involved in the academic administration through various posts such as Director Computer Centre (AMU), He served as Chairperson of the Department of Statistics & Operations Research and that of Interdisciplinary Department of Remote Sensing & GIS Applications, AMU.

Rizwan Ahmad, PhD
Faculty, Interdisciplinary Department of Remote Sensing & GIS Applications, Aligarh Muslim University, Aligarh, India

Rizwan Ahmad, PhD, is a faculty member at the Interdisciplinary Department of Remote Sensing & GIS Applications, Aligarh Muslim University, Aligarh, India, where his responsibilities include teaching courses of MSc and PhD programs. His research interests include Earth observation, geospatial technology applications, and GIS data integration. He has a doctorate in geoscience and has vast research and teaching experience in India and abroad. He has worked with prestigious institutes such as the IIRS-ISRO (Indian Institute of Remote Sensing–Indian Space Research Organisation; Forest Survey of India (MoEF & CC, Govt. of India), Dehradun; and Eritrea Institute of Technology (EIT), Asmara, Eritrea (North East Africa) as Assistant Professor of Geospatial Technology. He also had an opportunity to work in ISRO (Respond) project. Dr. Ahmad specializes in remote sensing & GIS applications and applied geology.

Irfan Ali, PhD
Senior Assistant Professor, Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, India

Irfan Ali, MPhil, PhD, received an MPhil. and PhD degree in statistics from Aligarh Muslim University, India. He is currently working as a Senior Assistant Professor at the Department of Statistics and Operations Research at Aligarh Muslim University. In 2024, one of the world-renowned scholar agencies, Scholar GPS, recognized Dr. Ali’s contributions to the mathematical optimization and environment statistics fields and ranked him among the world’s top 0.5% of scholars. His research interests include applied statistics, mathematical optimization, fuzzy logic and optimization, multi-objective optimization, supply chain management, UN Sustainable Development Goals, and renewable energy production modeling. He has supervised MSc projects MPhil, dissertations, and PhD thesis in mathematical optimization and applied statistics topics. He has completed a research project with a UGC–Start-Up Grant Project, UGC, New Delhi, India; and received the Mitacs Globalink Research Award for a joint research program with the University of Regina, Canada. He has published over 105 research articles in the Scopus-indexed database and 71 in the Web of Science database. His Google citations are 2256 with a 26-h index and 63-i10 index. He has published six edited books for Taylor & Francis and Springer Nature publishers, and some are in the process of publication. All these books have been indexed in one of Elsevier’s reputed Scopus indexing databases. He has also published one textbook, Optimization with LINGO-18: Problems and Applications. This book is helpful for academicians, practitioners, students, and researchers in operations research. He is a lifetime member of various professional societies, including Operational Research Society of India, Indian Society for Probability and Statistics, Indian Mathematical Society, and the Indian Science Congress Association. He is an associate EC member of the Indian Society for Probability and Statistics (ISPS) [2021, 2022, 2023, 2024]. He has delivered invited talks at several universities and institutions. He also serves as associate editor/editor/editorial board member of more than 10 journals of international reputate. He received a Post Graduate Merit Scholarship Award during his MSc (statistics) and a UGC-BSR Scholarship awarded during his PhD (statistics) programs.

Prasenjit Chatterjee, PhD
Professor of Mechanical Engineering and Dean (Research and Consultancy), MCKV Institute of Engineering, West Bengal, India

Prasenjit Chatterjee, PhD, is currently Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has over 6400 citation and has published over 130 research papers in various international journals and peer-reviewed conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards, including best track paper awards, outstanding reviewer awards, best paper awards, outstanding researcher awards, and university gold medals. He has been a guest editor of several special issues of various indexed journals. He has authored and edited several books on decision analysis, disruptive technologies, intelligent computing, supply chains, and sustainability modeling. He is the Lead Series Editor of the book series Disruptive Technologies and Digital Transformations for Society 5.0. He is the Founder and Lead Series Editor of the book series Concise Introductions to AI and Data Science; AAP Research Notes on Optimization and Decision-Making Theories; Frontiers of Mechanical and Industrial Engineering; and Smart and Intelligent Computing in Engineering. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).




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