Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
TLDR
In this article, the principles governing the application of the conceptual model technique to river flow forecasting are discussed and the necessity for a systematic approach to the development and testing of the model is explained and some preliminary ideas suggested.About:
This article is published in Journal of Hydrology.The article was published on 1970-04-01. It has received 19601 citations till now. The article focuses on the topics: Conceptual model & Flood forecasting.read more
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Development and test of a spatially distributed hydrological/water quality model for mesoscale watersheds
TL;DR: The watershed model SWIM as discussed by the authors integrates hydrology, vegetation, erosion and nitrogen dynamics at the watershed scale, which can be parametrized using regionally available information using GIS-based tools.
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An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction
TL;DR: The obtained results reveal that the EELM model is a robust expert model and can be embraced practically in real-life water resources management and river sustainability decisions.
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Downscaling of global climate models for flood frequency analysis: where are we now?
TL;DR: In this paper, the authors examined the issues of downscaling the results from global climate models (GCMs) to a scale relevant for hydrological impact studies and concluded that if the next generation of GCMs produce more reliable rainfall variance estimates, then more appropriate ways of deriving rainfall scenarios could be developed using weather generators rather than empirical methods.
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Sensitivity Analysis, Calibration, and Validations for a Multisite and Multivariable SWAT Model
K. L. White,Indrajeet Chaubey +1 more
TL;DR: In this article, the Soil and Water Assessment Tool (SWAT) watershed model was implemented in the Beaver Reservoir Watershed of Northwest Arkansas and a multiobjective function was defined that consisted of optimizing three statistics: percent relative error (RE), Nash-Sutcliffe Coefficient (R NS 2 ), and coefficient of determination (R 2 ).
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RHESSys: Regional Hydro-Ecologic Simulation System—An Object- Oriented Approach to Spatially Distributed Modeling of Carbon, Water, and Nutrient Cycling
TL;DR: In this article, the authors provide a full description of process implementation in the most recent version of the Regional Hydro-Ecological Simulation System (RHESSys), a model that has been applied in a wide variety of research.