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Books in Environmental sciences

The Environmental Sciences titles present critical research and insights into the complex interactions within natural ecosystems, climate systems, and human impacts on the environment. Covering areas such as biodiversity, sustainability, climate change, and resource management, these titles support scientific discovery and practical solutions for addressing today’s most pressing environmental challenges. This collection is essential for researchers, policymakers, and students dedicated to advancing environmental understanding and stewardship

  • Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments

    • 1st Edition
    • Salvatore Manfreda + 1 more
    • English
    Unmanned Aerial Systems for Monitoring Soil, Vegetation, and Riverine Environments provides an overview of how unmanned aerial systems have revolutionized our capability to monitor river systems, soil characteristics, and related processes at unparalleled spatio-temporal resolutions. This capability has enabled enhancements in our capacity to describe water cycle and hydrological processes. The book includes guidelines, technical advice, and practical experience to support practitioners and scientists in increasing the efficiency of monitoring with the help of UAS. The book contains field survey datasets to use as practical exercises, allowing proposed techniques and methods to be applied to real world case studies.
  • Environmental Soil Chemistry

    • 3rd Edition
    • Donald L. Sparks + 2 more
    • English
    Environmental Soil Chemistry, Third Edition provides an up-to-date overview of the interdisciplinary field of environmental soil chemistry. This classic text covers the fundamental principles of soil chemistry, including the inorganic and organic components of soil, soil porewater chemistry, interfacial chemical reactions between solids and dissolved ions/molecules, ion exchange, and the kinetics of the soil chemical process, such as sorption and redox. Soil acidity and salinity are also discussed. This fully updated third edition places particular emphasis on environmental reactions between clay minerals, metal oxides, and soil organic matter with heavy metals, pesticides, and industrial contaminants. This text provides the latest technological advances representing the cutting edge of the science. Completely updated throughout with new content and updated full color figures, the third edition contains expanded information on soil minerals and an increased emphasis on the coupling between chemical and biological reactions, mechanisms, and processes. This third edition provides upper-level undergraduate and graduate students in soil science with sound contemporary training in the basics of soil chemistry and applications to real-world environmental concerns. The book offers a competitive advantage for those students looking to incorporate novel, advanced tools into their research.
  • Waste Management and Resource Recycling in the Developing World

    • 1st Edition
    • Pardeep Singh + 4 more
    • English
    Waste Management and Resource Recycling in the Developing World provides a unique perspective on the state of waste management and resource recycling in the developing world, offering practical solutions based on innovative tools and technologies, along with examples and case studies. The book is organized by waste type, including electronic, industrial and biomedical/hazardous... with each section covering advanced techniques, such as remote sensing and GIS, as well as socioeconomic factors, transnational transport and policy implications. Waste managers, environmental scientists, sustainability practitioners, and engineers will find this a valuable resource for addressing the challenges of waste management in the developing world. There is high potential for waste management to produce energy and value-added products. Sustainable waste management based on a circular economy not only improves sanitation, it also provides economic and environmental benefits. In addition to waste minimization, waste-to-economy and waste-to-energy have become integral parts of waste management practices. A proper waste management strategy not only leads to reduction in environmental pollution but also moves toward generating sufficient energy for improving environmental sustainability in coming decades.
  • Handbook of HydroInformatics

    Volume III: Water Data Management Best Practices
    • 1st Edition
    • Saeid Eslamian + 1 more
    • English
    Handbook of HydroInformatics Volume III: Water Data Management Best Practices presents the latest and most updated data processing techniques that are fundamental to Water Science and Engineering disciplines. These include a wide range of the new methods that are used in hydro-modeling such as Atmospheric Teleconnection Pattern, CONUS-Scale Hydrologic Modeling, Copula Function, Decision Support System, Downscaling Methods, Dynamic System Modeling, Economic Impacts and Models, Geostatistics and Geospatial Frameworks, Hydrologic Similarity Indices, Hydropower/Renewable Energy Models, Sediment Transport Dynamics Advanced Models, Social Data Mining, and Wavelet Transforms. This volume is an example of true interdisciplinary work. The audience includes postgraduates and above interested in Water Science, Geotechnical Engineering, Soil Science, Civil Engineering, Chemical Engineering, Computer Engineering, Engineering, Applied Science, Earth and Geoscience, Atmospheric Science, Geography, Environment Science, Natural Resources, Mathematical Science, and Social Sciences. It is a fully comprehensive handbook which provides all the information needed related to the best practices for managing water data.
  • Handbook of HydroInformatics

    Volume II: Advanced Machine Learning Techniques
    • 1st Edition
    • Saeid Eslamian + 1 more
    • English
    Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering.
  • Case Studies in Disaster Mitigation and Prevention

    Disaster and Emergency Management: Case Studies in Adaptation and Innovation series
    • 1st Edition
    • Himanshu Grover + 2 more
    • English
    Case Studies in Disaster Mitigation and Prevention: Disaster and Emergency Management: Case Studies in Adaptation and Innovation series presents cases illustrating efforts to reduce human and material losses associated with disasters. This volume demonstrates that mitigation is an ongoing phase in which communities continually pursue long-term hazard resistance and reduction. Cases illustrate the importance of risk assessment in the development of mitigation strategies through hazard mapping and multi-hazard mitigation planning. Cases also illustrate approaches to reduction risk through structural and non-structural means, giving consideration to benefits or limitations of these strategies in different contexts. The contributions of different mitigation activities to disaster risk reduction efforts are examined using the Sendai Framework for Disaster Risk Reduction.
  • Case Studies in Disaster Recovery

    A Volume in the Disaster and Emergency Management: Case Studies in Adaptation and Innovation Series
    • 1st Edition
    • English
    Case Studies in Disaster Recovery, the initial release in the Disaster and Emergency Management: Case Studies in Adaptation and Innovation series, explores recovery from a number of perspectives: household, community and nation. Chapters cover the concept of social vulnerability to explain/predict recovery outcomes, consider broader themes of sustainability, assess community vulnerability and capacity, and explore the challenges associated with long-term recovery and disaster case management. Cases explored illustrate the ways in which communities and governments used the window of opportunity after a disaster to make changes that reduce future risk and vulnerability. Included cases illustrate the diversity of change realized in communities following disasters.
  • Handbook of HydroInformatics

    Volume I: Classic Soft-Computing Techniques
    • 1st Edition
    • Saeid Eslamian + 1 more
    • English
    Classic Soft-Computing Techniques is the first volume of the three, in the Handbook of HydroInformatics series.  Through this comprehensive, 34-chapters work, the contributors explore the difference between traditional computing, also known as hard computing, and soft computing, which is based on the importance given to issues like precision, certainty and rigor. The chapters go on to define fundamentally classic soft-computing techniques such as Artificial Neural Network, Fuzzy Logic, Genetic Algorithm, Supporting Vector Machine, Ant-Colony Based Simulation, Bat Algorithm, Decision Tree Algorithm, Firefly Algorithm, Fish Habitat Analysis, Game Theory, Hybrid Cuckoo–Harmony Search Algorithm, Honey-Bee Mating Optimization, Imperialist Competitive Algorithm, Relevance Vector Machine, etc. It is a fully comprehensive handbook providing all the information needed around classic soft-computing techniques. This volume is a true interdisciplinary work, and the audience includes postgraduates and early career researchers interested in Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, and Chemical Engineering.
  • Water, Land, and Forest Susceptibility and Sustainability

    Geospatial Approaches and Modeling
    • 1st Edition
    • Uday Chatterjee + 4 more
    • English
    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.
  • Sustainable Utilization of Carbon Dioxide in Waste Management

    Moving Toward Reducing Environmental Impact
    • 1st Edition
    • Abdel-Mohsen O. Mohamed + 2 more
    • English
    Sustainable Utilization of Carbon Dioxide in Waste Management addresses all aspects of sustainable use of carbon dioxide in waste management processes and provides best practices and process improvements for carbon sequestration in the management of a variety of waste types, including carbide lime waste, construction waste, and reject brine effluents, amongst others. The book also provides underlying research on the environmental impacts of these wastes and the need for carbon capture to emphasize the importance and need for improvements of these processes. Overall, this information will be key to determining lifecycle benefits of CO2 for each newly improved waste process. This is an important source of information for environmental and sustainability scientists and engineers, as well as academics and researchers in the field who should be trying to achieve increased carbon capture in any form of waste process to reduce environmental impact.