Arun Lal Srivastav – författare

Ecological Significance of Riparian Ecosystems: Challenges and Management Strategies examines the current issues related to river ecosystems, their environmental importance, pollution issues and potential management strategies. The book is divided into 4 key themes: Basics of river ecosystem, Natural phenomenon of river ecosystem, Human-induced problems of river ecosystem, and Management measures for the river ecosystem. Through these four themes, the contributors present both practical and theoretical aspects of river ecosystem in changing climate. An emphasis has been made on the recent research of climate change and its impact on the river ecosystem.

River ecosystems have tremendous potential to store CO2, however, with changing climatic and anthropogenic activities, these habitats are under threat, and river ecosystems are losing the very vital service of storing carbon. Unlike well documented terrestrial biodiversity, the biodiversity in aquatic ecosystems is still unrecognized to some extent.

Presents an understanding of the biogeochemical processes of river ecosystems achieved by food webs and diverse biogeochemical processes Covers sediment dynamics and nutrient chemistry - hot topics in river ecosystems Includes environmental pollution issues in river ecosystems from various anthropogenic activities

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention.

Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms.

Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies Covers computational capabilities and varieties for renewable system design

Urban Water Crisis and Management: Strategies for Sustainable Development, Sixth Edition presents solutions for the current challenges of urban water and management strategies. Through contributed chapters, a framework is laid out for a reduction of the use of groundwater (heavily overused as a solution) and the alternative options for the supply of water to cities, or for urban water.� Sections discuss urban water, its problems and management approaches, address the root causes of the water crisis in urban areas, and cover� the scientific and technical knowledge necessary to manage water resources.

Significant gaps between developed and developing nations in the procedure of water management are also addressed, along with practical information regarding recycling and the reuse of wastewater which is useful as baseline data for the future.

Presents the quantitative study of water supply in urban areas, identifies water scarcity in megacities, and provides management approaches for sustainable development Identifies technology and the instruments required for the management and safe supply of water Includes case studies where these technologies have been successfully used

Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects. As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world.

This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists. Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.

Includes case studies on the application of AI and machine learning for monitoring climate change effects and management Features applications of software and algorithms for modeling and forecasting climate change Shows how real-time monitoring of specific factors (temperature, level of greenhouse gases, rain fall patterns, etc.) are responsible for climate change and possible mitigation efforts to achieve environmental sustainability

Bioremediation of Emerging Contaminants from Soils: Soil Health Conservation for Improved Ecology and Food Security deals with current challenges of sustainable soil health using eco-friendly approaches. This book provides ways of reducing the chemical burden on the soil by maintaining balance in terms of society, environment, and economy, which are considered basic pillars of sustainability.

Designed to highlight soil health best practices for both environmental and agricultural sustainability, these approaches are also considered important for improving global food security by ensuring safe growing conditions for crops for food and feed.?Presented in two parts, this book first highlights emerging contaminants and their sources.?The second part explores a variety of steps and tools for addressing contaminated soils, including bio- and phytoremediation options.?Case studies in each part provide real-world insights for practical application.

Contains the latest practical and theoretical aspects of the soil health crisis and its managementPresents collective information to ensure the remediation of soil from emerging contaminantsServes as baseline information for environmental issues in agriculture along with their alternative eco-friendly solutions

Role of Green Chemistry in Ecosystem Restoration to Achieve Environmental Sustainability deals with current challenges of environmental problems along with the approaches of environmental sustainability in alliance with green chemistry. The book shows how to lessen the impact on the environment by maintaining a balance between society, the environment, and the economy, all of which are regarded as fundamental pillars of sustainability. Furthermore, policymakers and scholars will gain insights into how to develop and explore innovative techniques for achieving sustainable development goals. This book is unique in the field of environmental sustainability, as it is based on green chemistry concepts. Addresses root causes of prominent environmental problems, including environmental management, water sustainability and agricultural sustainability Discusses recent knowledge about the concepts of environmental sustainability Highlights various approaches of green chemistry to achieve sustainable development goals

Water Resources Management for Rural Development: Challenges and Mitigation provides an overview of the current challenges of rural water and its management strategies. The content contains practical and theoretical aspects of the water crisis in rural areas in a changing climate era, with an emphasis on recent water crisis research and management strategies. The book's structure contains fundamentals of water resources, pollution, remediation, supply and management strategies. Case studies included provide different water-related issues around the globe, introducing the reader to the paths of reducing the burden on the groundwater and the alternative options for the supply of water in rural areas.

Decision-makers and water supply authorities will benefit from this unique resource that comprehensively covers rural water management in ways no comparable book has achieved.

Includes case studies that follow a consistent template, providing the reader with easy to find real-life examples Covers a wide spectrum of topics related to water resources as written by experts in their field Provides information on the identification of technologies and instruments required for the management of, and safe supply of, water

Green and Sustainable Approaches Using Wastes for the Production of Multifunctional Nanomaterials focuses on the examination of green synthesis utilizing green waste materials derived from home and industrial applications. This book also examines the current state of material generations, future problems and their industrial constraints, and the synthesis of NMs for various applications such as medicinal, agriculture, environmental, food and beverage storage, and so on. The book includes the most recent practical and theoretical aspects of the use of waste materials released in the fabrication of various types of valuable nanomaterials, such as metal, metal oxide, polymeric, and graphene, among others. This is a relatively new concept in waste utilization, and green synthesis is a viable resource in making NPs. This book will also be valuable for waste management professionals who need proper disposal techniques for by-products.Provides various types of waste management helps to develop innovative ideasDiscusses waste to valuable wealth, waste resources management, approaches to focus sustainable development, pollution reduction, and alternative options for smooth recovery of resourcesContains advanced information about green nanotechnology

Hyperautomation in Precision Agriculture: Advancements and Opportunities for Sustainable Farming is the first book to focus on the integration of multiple techniques and technologies to create an ecosystem sustaining approach that doesn’t compromise soil health or environmental safety as it increases crop yield. The book highlights the integration of state-of-the-art tools and working models to address the various challenges in the field of agriculture. It also identifies and discusses the potential and challenges of hyperautomation in sustainable agriculture with respect to efficiency improvement and human enhancement of automated operations.Hyperautomation is a true digital transformation in sustainable agriculture utilizing advanced techniques such as robotic process automation (RPA), digital process automation (DPA), unmanned aerial vehicle (UAV), controlled-environment agriculture (CEA), remote sensing, internet of things (IoT), crop modeling, precision farming, sustainable yield, image analysis, data fusion, artificial intelligence (AI), machine learning (ML), and deep learning (DL).Provides a comprehensive overview of the current state-of-the-art of automation in agricultureEnables improved productivity and resource optimizationPresents advanced monitoring/mapping methods in soil properties, nutrients, crop growth, and yield

Biotechnologies for Wastewater Treatment and Resource Recovery: Current Trends and Future Scope presents up-to-date insights on the water crisis stemming from wastewater production. Edited by experts in the field, the book's chapters are structured around different types of bioremediation approaches (phytoremediation, myco-remediation, bio-stimulation, bio-augmentation, rhizoremediation, etc.) all applied in the context of wastewater treatment. This comprehensive resource equips students, research scholars, and policymakers with a holistic understanding of wastewater treatment and resource recovery through bioremediation techniques. Abundant real-world applications and case studies empower readers to make well-informed decisions, ensuring the efficient utilization of energy and efforts in addressing this critical issue.Covers a thorough analysis of various bioremediation approaches such as: phytoremediation, myco-remediation, bio-stimulation, bio-augmentation, rhizoremediation, etc.Offers the most up-to-date information on integrated wastewater treatment using biological and physicochemical methodsIncludes case studies on bioremediation of domestic/industrial wastewater for the elimination of heavy metals/emerging water contaminants/pesticides/microplastics, amongst others

Computer Vision and Machine Intelligence for Renewable Energy Systems offers a practical, systemic guide to the use of computer vision as an innovative tool to support renewable energy integration.This book equips readers with a variety of essential tools and applications: Part I outlines the fundamentals of computer vision and its unique benefits in renewable energy system models compared to traditional machine intelligence: minimal computing power needs, speed, and accuracy even with partial data. Part II breaks down specific techniques, including those for predictive modeling, performance prediction, market models, and mitigation measures. Part III offers case studies and applications to a wide range of renewable energy sources, and finally the future possibilities of the technology are considered. The very first book in Elsevier’s cutting-edge new series Advances in Intelligent Energy Systems, Computer Vision and Machine Intelligence for Renewable Energy Systems provides engineers and renewable energy researchers with a holistic, clear introduction to this promising strategy for control and reliability in renewable energy grids.Provides a sorely needed primer on the opportunities of computer vision techniques for renewable energy systemsBuilds knowledge and tools in a systematic manner, from fundamentals to advanced applicationsIncludes dedicated chapters with case studies and applications for each sustainable energy source

Computational Automation for Water Security: Enhancing Water Quality Management is a comprehensive and insightful guide which explores the challenges posed by inefficient and outdated practices, presenting innovative solutions to enhance decision-making, optimizing water treatment processes, and ultimately improving environmental outcomes. Through the coverage of advanced computational techniques, such as data analysis, machine learning, and optimization strategies, readers will gain a deep understanding of how computational automation can revolutionize decision-making. This book is an invaluable resource for professionals, researchers, and policymakers seeking to stay at the forefront of water quality management practices, harnessing the power of computational automation for a cleaner, healthier future.Offers a holistic understanding of the application of computational automation in water quality managementContains practical and unique updates to help learners how to apply computational techniques to address water quality challengesProvides a comprehensive and multidisciplinary perspective on water quality management

This book explores the cutting-edge integration of generative artifical intelligence (AI) techniques to enhance environmental remote sensing, providing a comprehensive guide from foundational algorithms to practical applications. It explains how advanced AI technology can be used to improve the way we monitor and understand the environment from a distance, such as through satellites or drones. It starts with an explanation of basic algorithms behind generative AI and gradually moves to complex algorithms, showing how they can be applied to real-world environmental issues, such as tracking climate change, monitoring deforestation, and predicting natural disasters. FeaturesIncludes real-world examples and case studies showing how generative AI improves environmental monitoring.Provides step-by-step explanations of algorithms and their implementation.Explains complex concepts in simple and easy-to-understand language and introduces strategies to address environmental challenges using AI-driven solutions.Offers cutting-edge research and advancements in AI and remote sensing, including the application of generative AI models like GANs and VAEs.Applies to diverse fields such as urban planning, agriculture, and disaster management.Discusses ethical considerations and challenges when integrating AI with remote sensing.This book is for researchers and practitioners in environmental monitoring, urban planning, agriculture, and disaster management using remote sensing technologies and AI to address environmental challenges and sustainability. It is also intended for university professors, graduate, and postgraduate students in environmental science, geospatial analysis, computer science, and data science working on projects related to AI and remote sensing.

SUSTAINABLE MANAGEMENT OF ELECTRONIC WASTEWritten and edited by a group of industry professionals, this new volume provides cutting-edge insights into how the sustainability of managing electronic waste can be achieved, for engineers, scientists, and students.As a result of the rapid advancement of technology and the globalization of the economy, waste electrical and electronic equipment (WEEE) management has become increasingly important. Manufacturers are especially concerned about the proper disposal of their waste, and researchers need to identify the obstacles and enablers that stand in the way of implementing a long-term WEEE management system in order to develop a long-term WEEE management system. Further, the literature did not adequately capture the perspectives of multiple stakeholders while also identifying the enablers required for the development of sustainable WEEE management policies, which was particularly important in developing countries.This volume fills a gap in the literature by considering the perspectives of multiple stakeholders to identify enablers of sustainable WEEE management in emerging economies which was previously unexplored. This book focuses on the most recent technological advancements for the twenty-first century, emphasizing the synergies that exist between computer science, bioinformatics, and other sciences. The research and development of artificial intelligence, machine learning, blockchain technologies, quantum computing with cryptography, nanotechnology, sensors based on biotechnology, Internet of Things devices, nature-inspired algorithms, computer vision techniques, computational biology, and other topics are covered in this book, along with their applications in the fields of science, engineering, physical science, and economics. Modern environmental techniques are among the most innovative innovations emerging as a result of the insatiable demand for health standards in the modern world.

Lead the sustainable energy revolution with this guide to mastering the AI-driven algorithms and smart material innovations that are revolutionizing solar energy. The integration of artificial intelligence into solar energy systems represents the next frontier in sustainable development, promising to improve efficiency, reduce costs, and increase the viability of solar energy as a mainstream energy source. This book will delve into the transformative role of artificial intelligence in enhancing various aspects of solar energy systems. It will begin by exploring how AI can significantly boost the energy efficiency of solar panels, showcasing innovative algorithms and techniques designed to optimize energy capture and conversion. The development of smart materials for enhanced energy storage will also be covered, emphasizing the latest advancements in material science driven by AI to improve the storage capabilities and longevity of solar panels. Further, it will address integrated waste management options for exhausted solar panels, providing insights into sustainable practices and AI-driven solutions for recycling and repurposing solar panel components. It will discuss the significance of AI in solar energy conservation and climate change management, illustrating how AI technologies are being harnessed to predict, monitor, and mitigate environmental impacts. Additionally, the book will explore the future scope of photovoltaic-based solar energy in a changing environment, highlighting AI’s role in achieving sustainability and adapting to evolving climatic conditions. Using case studies and real-world applications, this book will demonstrate successful implementations of AI in the solar energy sector. Topics such as predictive maintenance, solar irradiance forecasting, optimal placement of solar panels, and AI-enhanced solar tracking systems will be featured to provide a comprehensive understanding of how AI is revolutionizing the solar energy landscape.

Revolutionize your approach to environmental protection with this groundbreaking resource, which details how to replace labor-intensive manual analysis with deep learning and explainable AI (XAI) to achieve precise, real-time identification and scalable monitoring of microplastic pollution. AI-driven microplastic monitoring sits at the intersection of environmental science, artificial intelligence, and data analytics, representing a rapidly developing frontier in both research and industry. Microplastic pollution, which has become a critical environmental and public health concern, is challenging to monitor using traditional techniques due to the vast scale, complexity, and minute size of microplastics. Conventional methods, such as manual filtration, microscopic examination, and chemical analysis, are often labor-intensive, time-consuming, and limited in their ability to provide real-time, large-scale data. This book is a groundbreaking exploration of how artificial intelligence, particularly deep learning and explainable AI (XAI), is revolutionizing microplastic research. It highlights innovative applications of deep learning for precise identification and classification of microplastics, while emphasizing the role of XAI in providing transparency and interpretability to AI-driven methods. By integrating these approaches with advanced sensing technologies and predictive models, the book addresses key limitations of traditional methods, offering robust solutions for scalable and accurate monitoring. Additionally, the book considers the ethical, regulatory, and policy implications of deploying AI in environmental science, providing a balanced perspective on the potential benefits and challenges. With contributions from leading researchers and practitioners, this book is an essential resource for environmental scientists, data scientists, policymakers, and technologists committed to sustainable solutions for combating microplastic pollution.

This volume discusses the reduction, recycling, and reuse of industrial and agricultural biomass wastes to develop value-added products using environmentally sustainable practices and technologies. Through these waste valorization approaches, biomass waste materials can be converted into useful bio-chemical products, sustainable construction materials, polymers, bio-energy, and bio-fuel as sustainable alternatives to products and materials with negative environmental and health consequences. The chapters highlight the development and implementation of eco-friendly solutions to biomass waste production with the aim of reducing natural resource deterioration, bolstering rural and small-scale business systems in communities impacted by pollution and climate change, and providing power from residual biomass to broadly reduce environmental impacts through improved waste management practices. The book is intended to be a useful resource for researchers, policymakers, NGOs, government agencies, and local community authorities working in waste management and environmental sustainability.

This volume discusses the reduction, recycling, and reuse of industrial and agricultural biomass wastes to develop value-added products using environmentally sustainable practices and technologies.

This book encompasses the knowledge about diverse types of advanced functional nanomaterial development using biogenic materials and associated applications along with various types of waste materials.

This book encompasses the knowledge about diverse types of advanced functional nanomaterial development using biogenic materials and associated applications along with various types of waste materials. Biomass generated from different industries has been long identified as major organic waste and it is a one of the major sources of contamination in the environment. This book will provide the global scenarios of low-cost biogenic materials and their suitability, pretreatment, and the ways to synthesize different kinds of nanomaterials (NMs) including carbonaceous, organic, inorganic and polymeric methods. The quantitative and qualitative characterization and applications of NMs will also be discussed in this book along with scientific and technical knowledge to manage suitable waste materials for NMs synthesis. Significant gaps and similarities between chemical synthesis and green synthesis along with their mechanism will be covered in detail as a point of comparison. The book will also contain the information on the need of policies required for waste management and option for their utilization along with the sources of their generation.The book also contains latest broad aspects of both practical and theoretical fabrication of metal NPs using biogenic waste materials. An emphasis has been made on the recent research related to advance NPs and their application. This book will be useful for undergraduate students, teachers, engineers and researchers, especially those working in areas of environmental science, material science, physical science, biotechnology, biochemistry and microbiology.

This book discusses how changes in climate can affect biodiversity, the natural world, and human society. The exploitation of natural resources, improperly managed development projects, human activities, and other factors are causing regular changes in the global environmental circumstances. Because of its severe effects on living things, climate change is one of the main problems that has attracted the attention of scientists, policy officials, academics, businesses, and other stakeholders worldwide. The main adverse implications of climate change are human health problems, changes in mean sea level, lower agricultural output, the spread of vectors, and degradation of the ecosystem. Utilizing cutting-edge techniques such as robotics, deep learning, machine learning, and artificial intelligence help construct greener, more intelligent energy systems or boost energy efficiency to mitigate the harmful consequences of climate change. Furthermore, by using real-time data analysis, these strategies might be useful in monitoring and anticipating climate challenges. It helps in developing novel approaches to quantifying the effects of climate change by taking into account the infrastructure that is currently in place, plant growth, power use, and emissions from vehicles and industries. In order to reduce the consequences, recent techniques are helpful in the research and management of climate-related concerns are also thoroughly explored. This is also helpful for future projections of weather phenomena along with climate extremes, etc. These methods are rapidly growing and widely applied in engineering and research. Therefore, it is anticipated that a large number of researchers are able to provide excellent reviews, case studies, and research findings regarding how these strategies might assist the globe to cope with climate variability. Additionally, this book also includes other strategies for lowering the risks associated with climate change as well as various forecasting techniques for climate uncertainty. Additionally, this book contributes to the accomplishment sustainable development goals (SDGs).

This book is highly beneficial for a better understanding of the techniques involved in sewage treatment plants and the recovery of components from the contaminated matrix for valuable applications. The generation of a huge amount of sewage and sewage in cities and sub-cities is a big environmental crisis. Discharge of untreated or partially treated sewage imposes severe environmental pollution and health hazards. Various types of sewage treatment methods are used in different cities based on the current requirements. There are various norms, laws, and policies for the safe disposal of sludge and the discharge of sewage. In this proposed book, the generation of various sewage and sludge will be discussed in detail. Chemical analysis of sewage and sludge has been included in this proposed book. The impact of sewage and sludge on water resources, soil crops, and human health is also included in this proposed book. Various traditional and advanced treatment technologies of sewage treatment will be part of the proposed book. Reuse and recovery of nutrients and metals are also incorporated in this proposed book. One proposed chapter is dedicated to legislation in sewage discharge, and sludge disposal is also included in this proposed book. So, in this proposed book, we tried to incorporate a holistic view related to environmental issues of sewage and sludge and their management strategies. This not only leads to enhancement of valuable resources but also reduces the problem of environmental contamination. The conclusive reports presented in the present book will also help different researchers and government authorities to implement the best possible methods in the treatment of sewage and sludge in different industries.

This book discusses aquatic macrophytes, their seasonal diversity and their selection criteria for wastewater treatment which provide a broad scenario to the readers, policy makers, etc. Sustainable development does not focus solely on environmental issues, but also includes economic and social development, as well as the preservation of indigenous people and culture. Aquatic macrophytes can play an important role in sustainable development in several ways, for example by providing a range of benefits beyond wastewater treatment, including energy production, nutrient removal, habitat creation, erosion control, and carbon sequestration. Aquatic macrophytes can be used for the production of bioenergy, which can be a sustainable alternative to fossil fuels. Aquatic macrophytes have been found to have potential in treating wastewater, as they can take up organic matter from the water and remove metals such as cadmium, copper, chromium, zinc, lead, and nickel. This can be a sustainable and effective method for managing water quality. These plants treat wastewater by taking up organic matter from the water, with small zones at their roots that capture organic matter from the wastewater. Aquatic plants also act as bioindicators of heavy metal contamination; therefore, they aid in raising awareness of the problem. This book gives a guidance on how to create a botanical park at a wastewater treatment site. Aquatic macrophytes are simple to identify, making it easier to use them in the filtration of water bodies. The volume contains several case studies on this topic.

This book explores the intersection of cutting-edge technologies and environmental science to provide a comprehensive overview of how nanotechnology and machine learning can be harnessed for monitoring, preventing, and controlling pollution, offering actionable insights for researchers, policymakers, and industry leaders. It specifically provides the latest advancements in air and noise pollution monitoring and mitigation technologies to support sustainable practices and inform policy support for sustainable environmental measures. The book will be helpful to researchers, policy makers and students of the technological, environmental and economic aspects of air and noise pollution, as well as NGOs, consultants and industries incorporating nanotechnology and AI in sustainable environmental management.

Metal Organic Frameworks for Wastewater Contaminant Removal Discover a groundbreaking new wastewater decontamination technology The removal of wastewater contaminants is a key aspect of the water cycle, allowing water to be fed safely back into circulation within a given ecosystem. Metal-Organic Frameworks (MOFs) are a new class of porous materials which can reversibly bind and sequester both metal ions and potentially harmful organic substances, giving them a potentially crucial role in the targeted removal of wastewater contaminants. They may also enable significant cost and energy savings over now-conventional ion exchangers in water treatment plants. Metal Organic Frameworks for Wastewater Contaminant Removal provides an accessible, practical guide to the development, evaluation, and potential applications of MOFs in maintaining the water cycle. It begins with an overview of the major metallic and non-metallic contaminants found in wastewater and their interactions with major MOF-based materials, before moving to the challenges and opportunities provided by MOFs in the pursuit of a sustainable, energy-efficient water cycle. The result is a groundbreaking resource in the ever-expanding global fight to keep water clean and safe. Metal Organic Frameworks for Wastewater Contaminant Removal readers will also find: MOF technology and its water treatment applications discussed in depth for the first time in a major publicationComparison with existing decontamination technologies and environmental risk assessmentApplications for environmental as well as industrial toxicants based on recent research and on case studiesMetal Organic Frameworks for Wastewater Contaminant Removal is indispensable for water chemists, chemical engineers, environmental chemists, and for any researchers or industry professionals working with water decontamination technologies.