Akhilesh Kumar Yadav – författare

This book presents an overview of modeling and simulation of environmental systems via diverse research problems and pertinent case studies. It is divided into four parts covering sustainable water resources modeling, air pollution modeling, Internet of Things (IoT) based applications in environmental systems, and future algorithms and conceptual frameworks in environmental systems. Each of the chapters demonstrate how the models, indicators, and ecological processes could be applied directly in the environmental sub-disciplines. It includes range of concepts and case studies focusing on a holistic management approach at the global level for environmental practitioners.Features:Covers computational approaches as applied to problems of air and water pollution domain.Delivers generic methods of modeling with spatio-temporal analyses using soft computation and programming paradigms.Includes theoretical aspects of environmental processes with their complexity and programmable mathematical approaches.Adopts a realistic approach involving formulas, algorithms, and techniques to establish mathematical models/computations.Provides a pathway for real-time implementation of complex modeling problem formulations including case studies.This book is aimed at researchers, professionals and graduate students in Environmental Engineering, Computational Engineering/Computer Science, Modeling/Simulation, Environmental Management, Environmental Modeling and Operations Research.

This book presents an overview of modeling and simulation of environmental systems via diverse research problems and pertinent case studies. It is divided into four parts covering sustainable water resources modeling, air pollution modeling, Internet of Things (IoT) based applications in environmental systems, and future algorithms and conceptual frameworks in environmental systems. Each of the chapters demonstrate how the models, indicators, and ecological processes could be applied directly in the environmental sub-disciplines. It includes range of concepts and case studies focusing on a holistic management approach at the global level for environmental practitioners.Features:Covers computational approaches as applied to problems of air and water pollution domain.Delivers generic methods of modeling with spatio-temporal analyses using soft computation and programming paradigms.Includes theoretical aspects of environmental processes with their complexity and programmable mathematical approaches.Adopts a realistic approach involving formulas, algorithms, and techniques to establish mathematical models/computations.Provides a pathway for real-time implementation of complex modeling problem formulations including case studies.This book is aimed at researchers, professionals and graduate students in Environmental Engineering, Computational Engineering/Computer Science, Modeling/Simulation, Environmental Management, Environmental Modeling and Operations Research.

This book provides a comprehensive and practical guide to environmental engineering, covering a wide range of computational tools, modeling approaches, and data analysis methods. It explores various computational modeling techniques, including mathematical models, numerical methods, and computer simulations, for modeling environmental systems and processes.Key Features:Presents case studies and examples of successful applications of computational approaches in addressing various environmental engineering challenges.Focuses on the practical application of computational approaches and showcasing successful examples.Aims to develop problem-solving skills for environmental engineers using computational methods.Discusses computational approaches for environmental impacts, designs, and decisions.Provides real-world examples of computational approaches to environmental problems.This book is aimed at graduate students and researchers in environmental and civil engineering, and related computational and modeling studies.

This book provides a comprehensive overview of adaptive modeling techniques and explores various modeling approaches, including system dynamics, agent-based modeling, and integrated assessment modeling, with a focus on key environmental challenges.It examines how adaptive modeling can inform evidence-based policymaking, foster stakeholder engagement, support adaptive governance structures, and facilitate the implementation of sustainable practices. The book presents real-world case studies and examples from diverse environmental contexts to illustrate the practical application of adaptive modeling approaches.Key Features:Provides an overview of adaptive modeling approaches for sustainable developmentEmphasizes policy and governance integration for adaptive modeling to achieve sustainable outcomesProposes the development of sustainable and resilient environmental systemsExplains how adaptive modeling informs policy, fosters participation, and supports adaptive governance structuresIncludes both theoretical and practical case studiesThis book is aimed at graduate students and researchers in environmental and civil engineering.

This book provides a comprehensive and practical guide to environmental engineering, covering a wide range of computational tools, modeling approaches, and data analysis methods. It explores various computational modeling techniques, including mathematical models, numerical methods, and computer simulations, for modeling environmental systems and processes.Key Features:Presents case studies and examples of successful applications of computational approaches in addressing various environmental engineering challenges.Focuses on the practical application of computational approaches and showcasing successful examples.Aims to develop problem-solving skills for environmental engineers using computational methods.Discusses computational approaches for environmental impacts, designs, and decisions.Provides real-world examples of computational approaches to environmental problems.This book is aimed at graduate students and researchers in environmental and civil engineering, and related computational and modeling studies.

This book presents an overview of the techniques available today for the removal of fluoride contamination/pollutants/species from water. Due to the high risk of fluoride exposure, specific water treatment processes are required to meet more severe water quality standards.

This book tackles the complexities of water management in India. Using computational tools, it provides comprehensive information on water availability, demand, climate change, integrated management, and governance. A must-read for researchers, policymakers, and water managers.The book is structured to provide a holistic understanding of water resources in India and the need for an integrated approach to their management. It explores various aspects of water management, including data collection and analysis, water allocation and planning, water quality management, and the intricate interdependencies within the water-energy-food nexus. One of the key focuses of this book is the application of computational approaches in the management of water resources. We explore the use of advanced modeling, simulation, and optimization techniques to facilitate decision making, assess water availability, and predict future scenarios. By employing computational tools, our goal is to bridge the gap between theoretical concepts and practical implementation, empowering water managers, policymakers, researchers, and other stakeholders to make informed and effective decisions.Throughout the book, we present case studies highlighting the application of computational approaches in diverse water management scenarios in India. These case studies offer valuable information on real-world challenges and demonstrate the potential of computational techniques to address complex water resources problems. We also explore the importance of stakeholder engagement, participatory approaches, and collaborative governance models, recognizing the importance of inclusive decision-making processes and local knowledge in achieving sustainable water management. The book is expected to serve as a valuable resource for students, researchers, professionals, and policymakers involved in water resource management in India. We aim to contribute to the ongoing efforts to ensure the availability of clean and adequate water resources for present and future generations.

This book tackles the complexities of water management in India. Using computational tools, it provides comprehensive information on water availability, demand, climate change, integrated management, and governance. A must-read for researchers, policymakers, and water managers.The book is structured to provide a holistic understanding of water resources in India and the need for an integrated approach to their management. It explores various aspects of water management, including data collection and analysis, water allocation and planning, water quality management, and the intricate interdependencies within the water-energy-food nexus. One of the key focuses of this book is the application of computational approaches in the management of water resources. We explore the use of advanced modeling, simulation, and optimization techniques to facilitate decision making, assess water availability, and predict future scenarios. By employing computational tools, our goal is to bridge the gap between theoretical concepts and practical implementation, empowering water managers, policymakers, researchers, and other stakeholders to make informed and effective decisions.Throughout the book, we present case studies highlighting the application of computational approaches in diverse water management scenarios in India. These case studies offer valuable information on real-world challenges and demonstrate the potential of computational techniques to address complex water resources problems. We also explore the importance of stakeholder engagement, participatory approaches, and collaborative governance models, recognizing the importance of inclusive decision-making processes and local knowledge in achieving sustainable water management. The book is expected to serve as a valuable resource for students, researchers, professionals, and policymakers involved in water resource management in India. We aim to contribute to the ongoing efforts to ensure the availability of clean and adequate water resources for present and future generations.

mso-fareast-language: DE;">With a focus on both developed and developing countries, the book examines the current state of arsenic removal methods, the challenges faced, and the innovative solutions being developed.

Air pollution is a global environmental challenge that affects the health and well-being of millions of people worldwide. As the need for effective pollution control and mitigation measures continues to grow, so does the importance of advanced computational techniques in understanding, monitoring, and managing air quality. This contributed volume presents interdisciplinary cases that span the fields of environmental science, computer modeling, and data analysis to provide an overview of state-of-the-art computational methods used in tackling air pollution. This book offers an in-depth exploration of the tools, techniques, and strategies that have revolutionized our ability to study and address air quality issues.

This book examines the central role of computational methods in understanding, predicting, and mitigating air pollution, a critical challenge for both public health and environmental sustainability. The book offers foundations of air pollution modeling, emphasizing computational fluid dynamics for simulating pollutant dispersion and transport in relation to urban landscapes, meteorological conditions, and airflow. These approaches are complemented by statistical methods and models that broaden the scope of air quality simulations.While highlighting major advances, the book also addresses persistent challenges: the demand for greater model accuracy, the need to manage uncertainty, the complexity of urban systems, and the computational intensity of many techniques. Developments such as parallel computing and reduced-order models are presented as promising directions for overcoming these obstacles.