Water, Land, and Forest Susceptibility and Sustainability

Geospatial Approaches and Modeling

1st Edition - November 25, 2022
Imprint: Elsevier
Editors: Uday Chatterjee, Biswajeet Pradhan, Suresh Kumar Kailasa, Sourav Saha, Mohammad Zakwan
Language: English
Paperback ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 8 8 0 - 0
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 9 2 0 - 3

Water, Land, and Forest Susceptibility and Sustainability, Volume 1: Geospatial Approaches & Modeling brings an interdisciplinary perspective to solving complex problems… Read more

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Water, Land, and Forest Susceptibility and Sustainability, Volume 1: Geospatial Approaches & Modeling brings an interdisciplinary perspective to solving complex problems in sustainability, utilizing the latest research and technologies, and includes case studies that emphasize the applications of remote sensing, GIS, and image processing for addressing the current state and future needs to achieve sustainability. As forests, land, and water are among the most precious resources on earth, emphasizing the need to conserve them for future generations and, of course, a safe and sustainable planet. The assessment of the susceptibility of all these three precious resources must therefore be addressed to inform their sustainable management.

This 1st volume encourages adaptive activities among experts employed in interdisciplinary fields, from data mining and machine learning to environmental science by linking geospatial computational intelligence technology to forest, land and water issues.

Cover image
Title page
Table of Contents
Copyright
Contributors
Foreword
Section I. Introduction: Theoretical framework and approach of sustainability
Chapter 1. Theoretical framework and approaches of susceptibility and sustainability: issues and drivers
1.1. Introduction
1.2. Global perspective of sustainability and susceptibility
1.3. Theoretical framework of sustainability and ecosystem services
1.4. Drivers and issues of susceptibility and sustainability of ecosystems
1.5. Approaches for susceptibility/degradation assessment of ecosystems
1.6. Conclusions
Section II. Water resource susceptibility and sustainability
Chapter 2. Trap efficiency of reservoirs: concept, review, and application
2.1. Introduction
2.2. Limitations of the study
2.3. Literature review
2.4. Materials and methods
2.5. Results and discussions
2.6. Conclusions
Chapter 3. GIS for Watershed Characterization and Modeling: example of the Taguenit River (Lakhssas, Morocco)∗
3.1. Introduction
3.2. Study area: geomorphology and hydro-climatology of the taguenit wadi watershed
3.3. Materials and methods
3.4. Results and discussion
3.5. Challenges and solutions
3.6. Recommendations
3.7. Conclusion
Chapter 4. Application of artificial intelligence to estimate dispersion coefficient and pollution in river
4.1. Introduction
4.2. Methodology
4.3. Result and discussions
4.4. Models used for comparison
4.5. Conclusion
4.6. Appendix 1
4.7. Appendix 2
4.8. Appendix 3
4.9. Appendix 4
4.10. Appendix 5
4.11. Appendix 6
Chapter 5. Predicting nitrate concentration in river using advanced artificial intelligence techniques: extreme learning machines versus deep learning
5.1. Introduction
5.2. Materials and methods
5.3. Methodology
5.4. Results and discussion
5.5. Summary and conclusions
Chapter 6. Polluted water bodies remediation by using GIS and remote sensing approach: a deeper insight
6.1. Introduction
6.2. Role of these advanced techniques in monitoring water quality
6.3. Remediation of surface water—using remote sensing and GIS
6.4. Future of these advanced techniques in monitoring the quality of water
6.5. Benefits of sensing in monitoring the quality of water
6.6. Conclusions
Chapter 7. GIS-based spatial distribution analysis of water quality assessment using water pollution index of Yamuna river at Delhi
7.1. Introduction
7.2. Study area
7.3. Materials and dataset
7.4. Methodology
7.5. Results
7.6. Validation
7.7. Discussion
7.8. Conclusion
Chapter 8. Groundwater sustainability: role of monitoring, modeling, and management
8.1. Introduction
8.2. Limitations of study
8.3. Methodology
8.4. Methods
8.5. Results
8.6. Conclusion
Section III. Land resources susceptibility and sustainability
Chapter 9. Landslide susceptibility modeling using a generalized linear model in a tropical river basin of the Southern Western Ghats, India
9.1. Introduction
9.2. Study area
9.3. Materials and methods
9.4. Results
9.5. Discussion
9.6. Summary and conclusion
Chapter 10. Assessment of the land use and landcover changes using remote sensing and GIS techniques
10.1. Introduction
10.2. Literature review
10.3. Materials and methods
10.4. Results and discussions
10.5. Conclusions
Chapter 11. Mapping and monitoring land dynamics using geospatial techniques on Pathar Pratima Block, South 24 Parganas, India
11.1. Introduction
11.2. Study area
11.3. Materials and method
11.4. Result and discussion
11.5. Challenges and solutions
11.6. Recommendations
11.7. Conclusion
Chapter 12. Geospatial technologies to investigate the wetland susceptibility to environmental challenges and identify sustainability options
12.1. Introduction
12.2. Study area
12.3. Materials and methods
12.4. Results
12.5. Conclusions
Chapter 13. Evaluation of spatial and temporal variability in rainfall erosivity and soil erosion risk in Maharashtra, India
13.1. Introduction
13.2. Study area
13.3. Aims and objectives
13.4. Materials and methods used
13.5. Rationale of study
13.6. Limitations
13.7. Results and discussion
13.8. Rainfall variability
13.9. Recommendations
13.10. Conclusions
Chapter 14. Soil erosion modeling under future climate change: a case study on Marinduque Island, Philippines
14.1. Introduction
14.2. Materials and methods
14.3. Results and discussion
14.4. Potential solution
14.5. Conclusion
Section IV. Forest resource susceptibility and sustainability
Chapter 15. Forest fire susceptibility mapping and risk assessment using integrated AHP and DEMATEL method for Purulia District, West Bengal (India)
15.1. Introduction
15.2. About study area
15.3. Materials and methods
15.4. Results and discussion
15.5. Conclusion
Chapter 16. Decline in vegetation cover over Kolkata city: an environmental concern from remote-sensing perspective
16.1. Introduction
16.2. Study area
16.3. Materials and methods
16.4. Results and discussion
16.5. Conclusion
Chapter 17. Understanding the forest cover dynamics and its health status using GIS-based analytical hierarchy process: a study from Alipurduar district, West Bengal, India
17.1. Introduction
17.2. Study area
17.3. Database and methodology
17.4. Results
17.5. Discussion
17.6. Conclusion
Chapter 18. Detection of forest fragmented areas of Sonitpur, Lakhimpur, and Papum Reserve Forest using the FCD model
18.1. Introduction
18.2. Limitations of the study
18.3. Materials and methods
18.4. Results and discussions
18.5. Challenges and solutions
18.6. Recommendations
18.7. Conclusions
Index

Uday Chatterjee

Dr. Uday Chatterjee is an Assistant Professor at Bhatter College in Dantan, Paschim Medinipur, West Bengal, India, and an Applied Geographer with a Post-Graduate in Applied Geography from Utkal University and a Doctorate in Applied Geography from Ravenshaw University in Cuttack, Odisha. He has contributed to a number of research papers that have been published in reputable national and international publications, as well as edited book volumes. He has also organized (as the convener) a Faculty Development Program on "Modern ways of teaching and advanced research methods," which was funded by the Indian Council of Social Science Research (ICSSR). Urban Planning, Social and Human Geography, Applied Geomorphology, Hazards & Disasters, Environmental Issues, Land Use and Rural Development are some of his research interests. The West Bengal Pollution Control Board (WBPCB) of the Government of West Bengal, India, financed his research. He has worked as a reviewer for a number of international publications. Dr. Uday Chatterjee is currently the lead editor of the Springer Special Issue (S.I) on Urbanism, Smart Cities, and Modelling.

Affiliations and expertise

Assistant Professor, Department of Geography, Bhatter College (Affiliated to Vidyasagar University), Dantan, India

Biswajeet Pradhan

Biswajeet Pradhan is a distinguished professor at UTS School of Civil and Environmental Engineering. He is an international expert in data-driven modelling and a pioneer in combining spatial modelling with statistical and machine learning models for natural hazard predictions including landslides. He has a track record of outstanding research outputs, with over 600 journal articles. He is a highly interdisciplinary researcher with publications across 12 areas, listed as having ‘Excellent’ international collaboration status. He has been a Highly Cited Researcher for five consecutive years (2016-2020) and ranks fifth in the field of Geological & Geoenvironmental Engineering.

Affiliations and expertise

Distinguished Professor and Director, Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, School of Information, Systems and Modelling; Faculty of Engineering and IT, New South Wales, Australia

Suresh Kumar Kailasa

Suresh Kumar Kailasa, FRSC, is an Associate Professor of the Department of Chemistry at Sardar Vallabhbhai National Institute of Technology (SVNIT) Surat, Gujrat, India. He obtained Master of Science in Chemistry of Natural Products from Sri Krishnadeveraya University, Andhra Pradesh, India and PhD in Chemistry from Sri Venkateswara University, Tirupati, Andhra Pradesh, India. After completing two Postdoctoral Fellowships at Chonbuk University, South Korea and at National Sun Yat-Sen University, Taiwan, he joined as an Assistant Professor at SVNIT, Surat in 2009. He received Young Scientist Award from Taiwan Mass Spectrometry Society in 2013. He was Visiting Research Professor (June 2022 – July 2022 & May 2019 – July 2019) and Research Professor (January 2018 – September 2018) at Department of Chemistry, Chung-Ang University, Seoul, South Korea. He worked as a Visiting Scientist at Department of Chemistry, National Sun Yat-sen University, Taiwan in 2010. He was selected as a Brain Pool Scientist at the Department of Chemistry, Chung-Ang University, South Korea under Korean Brain Pool Invitation Program of KOFST in 2017 and 2023. He was selected as a Fellow of Royal Society of Chemistry, The Royal Society of Chemistry, UK and Fellow of the Society of Pesticide Science India in 2019. He was also selected as a life member of the National Academy of Sciences, India (NASI), India in 2021. He acted as Guest Editor in the special issues in Applied Sciences (MDPI), Materials Today Chemistry, Inorganic Chemistry Communications (Elsevier) and Environmental Science and Pollution Research (Springer). He is acting as an Advisory Board Member, Sensors and Diagnostics (RSC Publications) since 2023. He is the author of 240 peer-reviewed papers and is the co-inventor of a Taiwan Patent. He has a h-index of 59 and has accumulated over 11163 citations. Recently, he has been featured in the top 2% scientists that has been compiled by Stanford University in the USA. His research interest in the field of analytical chemistry, MALDI-MS, ESI-MS, microextraction, nanosensors, drug delivery, surface modifications of nanostructure materials, functional nanomaterials for the development of new analytical strategies.

Affiliations and expertise

Department of Chemistry, Sardar Vallabhbhai National Institute of Technology (SVNIT) Surat, Gujrat, India and Nanochemistry, Analytical Chemistry, MALDI mass spectrometry

Sourav Saha

Dr. Sourav Saha PhD is a postdoctoral scholar at the University of California, Los Angeles. Dr. Saha is an early career scientist who recently completed his Ph.D. from the University of Cincinnati, USA. He also taught several Geology courses as an adjunct faculty member at Northern Kentucky University, USA. His research interests are focused on the use of geomorphic, geochronologic, remote sensing, and sedimentary tools to quantify surface processes, landscape evolution, paleoseismic, and paleoclimatic changes. His goal is to understand the dynamic interaction between climate, tectonics, and landscapes, especially in environmentally sensitive regions. He uses and develops a variety of geochronometers, especially luminescence and cosmogenic surface exposure dating techniques. He is also a member of the Geological Society of America, the American Geophysical Union, the American Quaternary Association, and several other international organizations.

Affiliations and expertise

Postdoctoral Associate, Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles, CA, USA

Mohammad Zakwan

Dr. Mohammad Zakwan PhD is presently working as an Assistant Professor in Maulana Azad National University, Hyderabad, India. He has published numerous papers and has a demonstrated history of working in Water Resource Engineering. He has been serving as an editorial board member and reviewer for various journals. His research interests include modelling of infiltration, modelling river water quality, sediment rating curves, stage discharge curves, computation of effective discharge and dominant discharge, climate change, trend analysis in water resources, river engineering, hydraulics, and hydrology of rivers. Dr. Mohammad Zakwan was a recipient of Gold medals during his M.Tech and B.Tech. He was awarded MHRD GATE scholarship and CSIR NET JRF scholarship for his M.Tech and PhD, respectively.

Affiliations and expertise

Assistant Professor, Department of Civil Engineering, Maulana Azad National Urdu University, Hyderabad, Telangana, India

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Water, Land, and Forest Susceptibility and Sustainability

Geospatial Approaches and Modeling

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Uday Chatterjee

Biswajeet Pradhan

Suresh Kumar Kailasa

Sourav Saha

Mohammad Zakwan

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