Bøger af Pravat Kumar Shit

This book provides a multidisciplinary synthesis of the sustainable management of natural resources. The book presents applicable knowledge of land, water, and forest resources along with in-depth investigations of multiple management pathways. This book also demonstrated the contemporary applications of geospatial technology in data mining techniques, data analysis, modeling, assessment, and visualization, and appropriate management strategies in different aspects of natural resources. The book explores the latest state-of-the-art techniques using open-source software, statistical programming, and modeling platforms, including artificial intelligence techniques in natural resource management. It is a valuable resource for students, researchers, and practitioners in geography, geospatial sciences, and environmental sciences, especially those interested in land, water, and forest resources.

Spatial Modeling of Environmental Pollution and Ecological Risk provides valuable information and insights for researchers, students and professionals in geography, hydrology, sedimentology, soil science, agriculture, engineering and GIS as they face increasingly complex challenges around development strategies for a sustainable society. Written by the world's leading researchers in their field, each article will begin with a short introductory essay that includes an overview of the sections' papers. Individual chapters focus on the core themes of research and knowledge and some topics that have received lesser attention. Each chapter will review the current understanding of knowledge regarding the present study and scope and consider where future efforts should be directed.

This book demonstrates the measurement, monitoring, mapping and modelling of soil pollution and land resources. This book explores state-of-the-art techniques based on open sources software & R statistical programming and modelling in modern geo-computation techniques specifically focusing on the recent trends in data mining/machine learning techniques and robust modelling in soil resources. Soil and agricultural systems are an integral part of the global environment and human wellbeing, providing multiple goods and services essential for people worldwide and crucial for sustainable development. Soil contamination is an environmental hazard and has become a big issue related to environmental health. The challenge of the twenty-first century is to reduce the contaminant load and bring it to below permissible level. The contamination is not only a problem affecting local environments at the place of occurrence but also spreading to other regions because of easy transportation of pollutants. This leads to direct and indirect contamination of land and aquatic systems, surface water and groundwater, inducing significant risks for natural ecosystems.  In this context, the spatial modelling, prediction, efficient use, risk assessment, protection and management of soil resources in the agriculture system are the key to achieving sustainable development goals and ensuring the promotion of an economically, socially and environmental sustainability future. The aim of this book on soil contaminants and environmental health: application of geospatial technology is to identify the soil and sediment quality, sources of contaminants and risk assessment and focuses on the decision-making and planning point of view through GIS data management techniques. This book covers major topics such as spatial modelling in soil and sediments pollution and remediation; radioactive wastes, microbiology of soil and sediments, soil salinity and sodicity, pollution from landfill sites, soil erosion and contamination from agricultural activities, heavy metal pollution and health risk; environmental impact and risk assessment, sustainable land use, landscape management and governance, soil degradation and risk assessment, agricultural soil pollution, pollution due to urban activities, soil pollution by industrial effluents and solid wastes, pollution control and mitigation in extreme environments. The content of this book is of interest to researchers, professionals and policy-makers whose work is in soil science and agriculture practices. The book equips with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal and environmental implications.

Case Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through detailed case studies that prove real-world applications of remote sensing applications to this subject. Groundwater is the primary source of fresh water in many parts of the world, while come regions are becoming overly dependent on it, consuming groundwater faster than it is naturally replenished and causing water tables to decline unremittingly. India is the largest user of groundwater in the world followed by China and the USA, with developing countries using groundwater at an unsustainable rate. Systematic planning of groundwater usage using modern techniques is essential for the proper utilization, management and modeling of this precious but shrinking natural resource. With the advent of powerful and highspeed personal computers, efficient techniques for water management have evolved, of which remote sensing, GIS (Geographic Information Systems), GPS (Global Positioning Systems) and Geostatistical techniques are of great significance. This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. Case Studies in Geospatial Applications to Groundwater Resources is a valuable reference for researchers and postgraduate students in Earth and Environmental Sciences, especially GIS, agriculture, hydrology, natural resources, and soil science, who need to be able to apply the latest technologies in groundwater research in a practical manner.

This volume provides a versatile introduction to the study of drainage basin evolution, morphology, drainage basin hydrology and sedimentology, human interference, natural and anthropogenic hazards and various management techniques. This book offers the responsible factors of sediment yield and their absolute and specific growth and rate of delivery through tributaries to the main streams. Rivers are important geomorphic agents which reflect an amazing variety of form and behaviour, showing the wide range of natural environment in which they are originated.  The drainage system evolution and spatial network development within the dynamic nature are being discussed and how they are adjusted in the geomorphic time scale over the millions of years. This book shows how drainage systems function and react to change and why this thoughtful is required for flourishing integrated basin management. In tropical and sub-tropical countries population pressures as well as different developmental projects are being executed on the drainage basin without proper planning. Today scientists consider drainage basin as an administrative unit during implementation of regional projects. In this context this book will carry a bench mark for scholars and young scientists.

Other sections of the book contain geo-simulation, agent-based modeling, spatio-temporal analysis, geospatial data mining, various geocomputational applications, accuracy and uncertainty of geospatial models, applications in environmental, ecological, and biological modeling and analysis in public health research.

This book addresses the current challenges in controlling Kala-azar disease (Visceral leishmaniasis) in India and other VL-endemic areas, and aims to develop and apply a geo-environmental risk model based on primary and secondary data with the aid of remote sensing and GIS technologies to assess and mitigate Kala-azar transmission.

This book is specifically designed to serve the community of postgraduates and researchers in the fields of epidemiology, health GIS, medical geography, and health management. The book gives an exhaustive coverage of Satellite data, GPS, GIS, spatial and attribute data modeling, and geospatial analysis of Kala-azar diseases.