Spatial Modeling of Environmental Pollution, and Ecological Risk

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 the 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. Discusses issues at the forefront of present research in environmental science, bioscience, ecology, pedogeomorphology, landscape, geoscience, forestry, hydrology, and GIS Explores state-of-art techniques based on methodological and modeling in modern Deep learning and Machine learning geospatial techniques through case studies Describes novel control strategies, remediation and eco-restoration, and conservation techniques for sustainable development