Journal ArticleDOI
River flow forecasting through conceptual models part III - The Ray catchment at Grendon Underwood
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In this paper, methods of modeling the runoff process on the Ray catchment are described, which depend on soil moisture accounting and simple descriptions of the generation of runoff and of routing.About:
This article is published in Journal of Hydrology.The article was published on 1970-08-01. It has received 1171 citations till now. The article focuses on the topics: Streamflow & Surface runoff.read more
Citations
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Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition.
TL;DR: EEMD can effectively enhance forecasting accuracy and the proposed EEMD-ANN model can attain significant improvement over ANN approach in medium and long-term runoff time series forecasting.
Journal ArticleDOI
Advances in ungauged streamflow prediction using artificial neural networks
TL;DR: In this article, the authors developed and tested two artificial neural networks (ANNs) to forecast streamflow in ungauged basins using time-lagged records of precipitation and temperature.
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An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India
TL;DR: In this article, the authors analyzed past land use changes between 1989 and 2009 and their impacts on the water balance in the Mula and Mutha Rivers catchment upstream of Pune.
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Impact of climate change on the hydrology of St. Lawrence tributaries
TL;DR: In this paper, the St. Lawrence tributaries of the Canadian province of Quebec were modeled with the HSAMI run with six climate series projections and the projected daily climate series were produced using the historical data of a reference period (1961-1990) with a perturbation factor equivalent to the monthly mean difference (temperature and precipitation) between a GCM in the future for three 30-year horizons (2010-2039, 2040-2069; 2070-2099) and the reference period.
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Comparison of AnnAGNPS and SWAT model simulation results in USDA‐CEAP agricultural watersheds in south‐central Kansas
TL;DR: In this paper, the authors compared the performance of the two most widely used watershed-scale models, the Annualized AGricultural Non-Point Source (AnnAGNPS) and Soil and Water Assessment Tool (SWAT), in the Cheney Lake watershed in southcentral Kansas.
References
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Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
TL;DR: 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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Natural evaporation from open water, bare soil and grass
TL;DR: It is shown that a satisfactory account can be given of open water evaporation at four widely spaced sites in America and Europe, the results for bare soil receive a reasonable check in India, and application of theresults for turf shows good agreement with estimates of evapolation from catchment areas in the British Isles.
Journal ArticleDOI
River flow forecasting through conceptual models part II - The Brosna catchment at Ferbane
TL;DR: In this article, an attempt to model the runoff process on the Brosna catchment is described, and different models are compared and it is found possible to account for about 80 per cent of the initial variance of the discharge by very simple models.
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River flow forecasting through conceptual models part I — A discussion of principles☆
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