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Proceedings of a conference held at Niagara-on-the-Lake, Ontario, Canada, October 29-November 4, 1983. This collection contains 29 papers that identify and assemble information on recent applications of mini- and microcomputer technology to problems in urban stormwater and flood management. Instrumentation and data management are reviewed with respect to watershed management and flood forecasting. Computer applications of hydrologic modeling are reported. Hydraulics and water quality models using microcomputers and programmable calculators are presented and applied to urban flooding and runoff and river plume models. Real-time control is reviewed in application to urban runoff forecasting, flood forecasting, and reservoir operation. Implications for the future are discussed, covering software, expert systems and interactive processing.
New Techniques for Modelling the Management of Stormwater Quality Impacts is a unique volume devoted to discussing new developments in modeling, best management practices (BMPs), information management, user interfacing, and instrumentation for reducing the impacts of urbanization on aquatic ecosystems. The book is divided into three sections: ecosystems and environmental modeling contexts; best management practices, including real-time control; and applications of geographical information systems (GIS). Specific topics addressed include the need to move from a regulatory basis for system management to a process-based management system, the use of remote sensing to divide a catchment into six different hydrologic response classes to compute floods, instrumentation, data acquisition, real-time control, aspects of stormwater detention ponds, and methods for using GIS. Detailed indexes, lists of acronyms, programs and models, and a full glossary are provided at the end of the book. New Techniques for Modelling the Management of Stormwater Quality Impacts will interest professional engineers in municipal and environmental engineering, consultants, researchers in civil engineering, hydrological engineers, hydraulics engineers, environmental policy makers, and students.
Effective urban drainage to manage stormwater and control flooding depends on good engineering, especially when an environmentally sustainable approach is being applied. This new text focuses on green methods and modelling techniques. It covers the principles of hydrology and drainage, low-impact-development (LID) designs, computer modelling techniques, the evaluation of existing systems, and planning for both new development and urban renewal. It outlines design procedures using examples, spreadsheet models, photos, and real-world design examples. Unlike other books, which focus on extreme events, this book covers hydrologic designs for both extreme and frequent events, and reflects the latest revolution in stormwater LID management, and takes a quantitative as well as a qualitative approach. PowerPoint® presentations and Excel® computer models are provided to follow and build on the exercises in the book. It is written especially for students on urban watershed courses, and also for those studying urban planning, landscaping, water resources, hydrology and hydraulics.
The latest book in the popular series demonstrates state-of-the-art methods, models, and techniques for water quality management. This book includes a CD-ROM that collects hundreds of hard-to-find literature citations from the gray literature.
Understanding how to properly manage urban stormwater is a critical concern to civil and environmental engineers the world over. Mismanagement of stormwater and urban runoff results in flooding, erosion, and water quality problems. In an effort to develop better management techniques, engineers have come to rely on computer simulation and advanced mathematical modeling techniques to help plan and predict water system performance. This important book outlines a new method that uses probability tools to model how stormwater behaves and interacts in a combined- or single-system municipal water system. Complete with sample problems and case studies illustrating how concepts really work, the book presents a cost-effective, easy-to-master approach to analytical modeling of stormwater management systems.
Hydroinformatics systems are systems that combine computational hydraulic modelling with information systems (including knowledge-based systems). They are gaining rapid acceptance in the areas of environmental planning, design and management. The present book focuses exclusively on sewage systems, starting with their planning and then going on to discuss their design, operation and rehabilitation. The very experienced authors discuss business and information needs in the management of urban drainage, tools for collecting and archiving such data, and their use in modelling catchment hydrology, sewer systems hydraulics, wastewater quality, wastewater treatment plant operation, and receiving waters. The control and operation of sewer systems in real time is described, followed by a discussion of their maintenance and rehabilitation. Intelligent decision support systems for managing the urban drainage business process are presented. Audience: Researchers into sewer design, municipal engineers, planners and managers interested in an innovative approach to all aspects of the planning, design and operation of sewer systems.
The rapid conversion of land to urban and suburban areas has profoundly altered how water flows during and following storm events, putting higher volumes of water and more pollutants into the nation's rivers, lakes, and estuaries. These changes have degraded water quality and habitat in virtually every urban stream system. The Clean Water Act regulatory framework for addressing sewage and industrial wastes is not well suited to the more difficult problem of stormwater discharges. This book calls for an entirely new permitting structure that would put authority and accountability for stormwater discharges at the municipal level. A number of additional actions, such as conserving natural areas, reducing hard surface cover (e.g., roads and parking lots), and retrofitting urban areas with features that hold and treat stormwater, are recommended.
This impressive publication presents the proceedings of the 1993 Toronto Stormwater and Water Quality Modelling meeting. The number of papers in the book has been substantially increased and, for the first time, the contributions have been peer reviewed for novelty, accuracy, readability, and relevance. Chapters are arranged in five sections: ecosystem impacts, water quality modelling, new methods and modelling, data management, and current practice. The appendices are valuable research aids, with a detailed index, a substantial glossary encompassing the entire discipline, lists of acronyms, models, and abbreviations, and a complete list of authors cited in the book. The editor also provides a classification of the 485 papers of the 11-year series of conferences held at the University of Kentucky at Louisville.
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.