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Runoff --- Rain and rainfall --- Water --- Mathematical models --- Pollution --- Mathematical models. --- Runoff - Mathematical models --- Rain and rainfall - Mathematical models --- Water - Pollution - Mathematical models
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Rain and rainfall --- Runoff --- Mathematical models. --- Précipitation --- precipitation --- Infiltration water --- Runoff water --- Models --- Soil water regimes --- Fluid flow --- Fluid mechanics --- Climatology --- High water --- Flooding --- Forecasting --- precipitation. --- Runoff - Mathematical models. --- Rain and rainfall - Mathematical models.
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The Soil Conservation Service (SCS) curve number (CN) method is one of the most popular methods for computing the runoff volume from a rainstorm. It is popular because it is simple, easy to understand and apply, and stable, and accounts for most of the runoff producing watershed characteristics, such as soil type, land use, hydrologic condition, and antecedent moisture condition. The SCS-CN method was originally developed for its use on small agricultural watersheds and has since been extended and applied to rural, forest and urban watersheds. Since the inception of the method, it has been applied to a wide range of environments. In recent years, the method has received much attention in the hydrologic literature. The SCS-CN method was first published in 1956 in Section-4 of the National Engineering Handbook of Soil Conservation Service (now called the Natural Resources Conservation Service), U. S. Department of Agriculture. The publication has since been revised several times. However, the contents of the methodology have been nonetheless more or less the same. Being an agency methodology, the method has not passed through the process of a peer review and is, in general, accepted in the form it exists. Despite several limitations of the method and even questionable credibility at times, it has been in continuous use for the simple reason that it works fairly well at the field level.
Runoff --- Rain and rainfall --- Mathematical models. --- Hydrogeology. --- Agriculture. --- Water pollution. --- Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution. --- Aquatic pollution --- Fresh water --- Fresh water pollution --- Freshwater pollution --- Inland water pollution --- Lake pollution --- Lakes --- Reservoirs --- River pollution --- Rivers --- Stream pollution --- Water contamination --- Water pollutants --- Water pollution --- Pollution --- Waste disposal in rivers, lakes, etc. --- Farming --- Husbandry --- Industrial arts --- Life sciences --- Food supply --- Land use, Rural --- Geohydrology --- Geology --- Hydrology --- Groundwater --- Runoff - Mathematical models. --- Rain and rainfall - Mathematical models.
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Predicting water runoff in ungauged water catchment areas is vital to practical applications such as the design of drainage infrastructure and flooding defences, runoff forecasting, and for catchment management tasks such as water allocation and climate impact analysis. This full colour book offers an impressive synthesis of decades of international research, forming a holistic approach to catchment hydrology and providing a one-stop resource for hydrologists in both developed and developing countries. Topics include data for runoff regionalisation, the prediction of runoff hydrographs, flow duration curves, flow paths and residence times, annual and seasonal runoff, and floods. Illustrated with many case studies and including a final chapter on recommendations for researchers and practitioners, this book is written by expert authors involved in the prestigious IAHS PUB initiative. It is a key resource for academic researchers and professionals in the fields of hydrology, hydrogeology, ecology, geography, soil science, and environmental and civil engineering.
Rain and rainfall --- Runoff --- Hydrology --- Mathematical models --- Runoff. --- Rain and rainfall. --- Hydrology. --- Aquatic sciences --- Earth sciences --- Hydrography --- Water --- Rain --- Rainfall --- Precipitation (Meteorology) --- Flowoff --- Melt runoff --- Meltwater runoff --- Rainfall runoff --- Run-off --- Snow cover runoff --- Snow dump runoff --- Snow melt runoff --- Snowmelt-induced runoff --- Snowmelt runoff --- Snowmelt water runoff --- Storm runoff --- Storm water runoff --- Stormwater runoff --- Water runoff, Snowmelt --- Water runoff, Storm --- Hydrologic cycle --- Mathematical models. --- Runoff - Mathematical models --- Rain and rainfall - Mathematical models
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This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability ap
Rain and rainfall --- Runoff --- Rain gauges. --- Pluviometers --- Gages --- Meteorological instruments --- Precipitation gauges --- Flowoff --- Melt runoff --- Meltwater runoff --- Rainfall runoff --- Run-off --- Snow cover runoff --- Snow dump runoff --- Snow melt runoff --- Snowmelt-induced runoff --- Snowmelt runoff --- Snowmelt water runoff --- Storm runoff --- Storm water runoff --- Stormwater runoff --- Water runoff, Snowmelt --- Water runoff, Storm --- Hydrologic cycle --- Rain --- Rainfall --- Precipitation (Meteorology) --- Measurement. --- Watersheds. --- Mathematical models. --- Rain and rainfall - Mathematical models. --- Runoff - Mathematical models.
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