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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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Spatiotemporal topological kriging of runoff time series

TL;DR: In this paper, the authors proposed a geostatistical method for estimating runoff time series in ungauged catchments, which is called topological kriging or top-riging.
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Distributed hydrological modelling of a Mediterranean mountainous catchment – Model construction and multi-site validation

TL;DR: In this paper, a spatially distributed hydrological model linked to a Geographical Information System was developed on the basis of simplified physical process representations (infiltration, evapotranspiration, base flow, interflow, overland flow, channel routing), using conventional hydro-meteorological data and readily accessible geographical maps.
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Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations

TL;DR: The methodology was designed to enhance application of H/WQ models through conscientious evaluation, interpretation, and communication of model performance to decision-makers and other stakeholders and serves as guidelines for enhanced model application emphasizing the importance of the model's intended use.
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Assessing climate change impacts on fresh water resources of the Athabasca River Basin, Canada.

TL;DR: This study used a Soil and Water Assessment Tool (SWAT) to assess climate change impacts on fresh water resources in the Athabasca River Basin in Canada, focusing explicitly on the impacts to both blue and green water.
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A New Procedure for Selecting and Ranking Ground-Motion Prediction Equations (GMPEs): The Euclidean Distance-Based Ranking (EDR) Method

TL;DR: In this paper, the Euclidean distance-based ranking (EDR) method is proposed for selecting and ranking of ground-motion prediction equations (GMPEs) that can be useful for regional or site-specific probabilistic seismic hazard assessment.
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