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Urban Water Engineering and Management
Based on the latest developments research, this book delineates a systems approach urban water hydrology, engineering, planning, and management. It covers a range of classic urban water management issues such as the modeling of urban water cycles, urban water supply and distribution systems, demand forecasting, wastewater and storm water collection and treatment.
Fundamentals of Environmental and Toxicological Chemistry
Fundamentals of Environmental and Toxicological Chemistry: Sustainable Science, Fourth Edition covers university-level environmental chemistry, with toxicological chemistry integrated throughout the book. This new edition of a bestseller provides an updated text with an increased emphasis on sustainability and green chemistry. It is organized based on the five spheres of Earth’s environment: (1) the hydrosphere (water), (2) the atmosphere (air), (3) the geosphere (solid Earth), (4) the biosphere (life), and (5) the anthrosphere (the part of the environment made and used by humans). The first chapter defines environmental chemistry and each of the five environmental spheres. The second chap...
Groundwater Hydrology
Increasing demand for water, higher standards of living, depletion of resources of acceptable quality, and excessive water pollution due to urban, agricultural, and industrial expansions have caused intense environmental, social, economic, and political predicaments. More frequent and severe floods and droughts have changed the ability and resiliency of water infrastructure systems to operate and provide services to the public. These concerns and issues have also changed the way we plan and manage our surface and groundwater resources. Groundwater Hydrology: Engineering, Planning, and Management presents a compilation of the state-of-the-art subjects and techniques in the education and pract...
Hydrology and Hydroclimatology
This book presents a systematic approach to understanding and applying the principles of hydrology and hydroclimatology, examining the interactions among different components of the water cycle. It takes a fresh look at the fundamentals and challenges in hydrologic and hydroclimatic systems as well as climate change. The author describes the applic
Hydrological Data Driven Modelling
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
Love the Foods That Love the Planet
Love the Foods That Love the Planet features tantalizing low carbon dishes to help meet the urgent climate challenge. What we eat and how we produce it matters. We know our world is careening toward warming tipping points beyond which recovery may not be possible. Shifting the food supply away from animals to plants as much as possible can drastically lower greenhouse gases and buy us the time we need to prevent irreversible harm and devastating outcomes. A plant-based diet also prolongs life, vitality, strengthens immunity, and gains protection from chronic illness and infectious disease. A healthy body and a healthy planet are linked. We all have more agency than we think when it comes to ...
Groundwater Hydrology
Increasing demand for water, higher standards of living, depletion of resources of acceptable quality, and excessive water pollution due to urban, agricultural, and industrial expansions have caused intense environmental, social, economic, and political predicaments. More frequent and severe floods and droughts have changed the resiliency and ability of water infrastructure systems to operate and provide services to the public. These concerns and issues have also changed the way we plan and manage our surface and groundwater resources. Groundwater Hydrology: Engineering, Planning, and Management, Second Edition presents a compilation of the state-of-the-art subjects and techniques in the edu...
Watershed Management and Applications of AI
Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artifici...
Cases in Nonprofit Management
Case Studies in Nonprofit Management by Pat Libby and Laura Deitrick consists of original cases that are designed to teach students how to think critically, hone their decision-making skills, and learn to apply leadership and management principles that are essential for any nonprofit professional. These case studies illustrate the multifaceted nature of the nonprofit management sector and bring concepts like nonprofit leadership, risk management, advocacy, and grant making to life.
Machine Learning and Metaheuristics: Methods and Analysis
This book takes a balanced approach between theoretical understanding and real-time applications. All the topics included real-world problems which show how to explore, build, evaluate, and optimize machine learning models fusion with metaheuristic algorithms. Optimization algorithms classified into two broad categories as deterministic and probabilistic algorithms. The content of book elaborates optimization algorithms such as particle swarm optimization, ant colony optimization, whale search algorithm, and cuckoo search algorithm.
