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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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Differential impacts of climate change on the hydrology of two alpine river basins

TL;DR: In this paper, the authors used a distributed catchment model with a set of 23 regional climate scenarios for monthly mean tem-perature (T) and precipitation (P) for two Alpine river basins, the Thur basin and the Ticino basin (1515 km 2 ).
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Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network

TL;DR: In this paper, an ANN model was developed to predict BSFC, BTE, CO2, NOx and PM with load, fuel injection pressure, EGR and fuel injected per cycle as input parameters for the network.
Journal ArticleDOI

River stage prediction based on a distributed support vector regression

TL;DR: The validation results reveal that the proposed D-SVR model can carry out the river flow prediction better in comparison with others, and dramatically reduce the training time compared with the conventional SVR model.
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Patterns of similarity of seasonal water balances: A window into streamflow variability over a range of time scales

TL;DR: In this article, the seasonal water balance has been shown to be a similarity measure that serves as a link between short-term hydrologic responses and long-term adaptation of the landscape with climate.
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Estimation of Evapotranspiration Across the Conterminous United States Using a Regression with Climate and Land-Cover Data

TL;DR: Sanford et al. as discussed by the authors used a water-balance method combined with a regression with climate and land-cover data to estimate actual evapotranspiration across the conterminous United States (U.S.).
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