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Journal ArticleDOI

River flow forecasting through conceptual models part I — A discussion of principles☆

J.E. Nash, +1 more
- 01 Apr 1970 - 
- Vol. 10, Iss: 3, pp 282-290
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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.
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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.

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Nonparametric methods for modeling GCM and scenario uncertainty in drought assessment

TL;DR: In this paper, a methodology is developed to address the uncertainties for a specific problem of drought impact assessment with results from GCM simulations, where samples of a drought indicator are generated with downscaled precipitation from available GCMs and scenarios.
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Hydrological effects of the increased CO2 and climate change in the Upper Mississippi River Basin using a modified SWAT

TL;DR: In this paper, the Soil and Water Assessment Tool (SWAT) model was applied to assess the effects of increased CO2 concentration and climate change in the Upper Mississippi River Basin (UMRB).
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A comparison of WEPP and SWAT for modeling soil erosion of the Zhangjiachong Watershed in the Three Gorges Reservoir Area

TL;DR: In this article, two widely used models, the Water Erosion Prediction Project (WEPP) and the Soil and Water Assessment Tool (SWAT), were applied to simulate runoff and sediment yield for the Zhangjiachong Watershed in the Three Gorges Reservoir Area.
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The importance of spatial resolution in hydraulic models for floodplain environments

TL;DR: The impact of varying mesh resolution on a typical non-linear finite numerical solver is investigated and a wide variation in performance for mesh discretizations which fulfilled traditional length scale-based construction is shown.
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Can air temperature be used to project influences of climate change on stream temperature

TL;DR: In this article, the performance of two widely used linear and nonlinear regression models that predict stream temperatures based on air temperatures was evaluated in a suite of regulated and unregulated streams with 11-44 years of stream temperature data.
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