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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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A Multiscale Remote Sensing Model for Disaggregating Regional Fluxes to Micrometeorological Scales

TL;DR: In this article, the authors demonstrate the utility of the Atmosphere-Land Exchange Inverse (ALEXI) model and associated disaggregation technique (DisAlEXI), in effecting regional to local downscaling.
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Robust changes and sources of uncertainty in the projected hydrological regimes of Swiss catchments

TL;DR: In this article, the authors present a detailed and quantitative uncertainty assessment, based on recent climate scenarios for Switzerland (CH2011 data set) and covering catchments representative for midlatitude alpine areas.
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Changes of nitrogen and phosphorus loads to European seas

TL;DR: In this article, the authors quantify the loads and concentration of nitrogen and phosphorus discharged in the European seas over the period 1985-2005, and discuss their impact on coastal ecosystems, showing that the increase of the N:P ratio could fuel eutrophication in N-limited coastal ecosystems.
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Sediment yield variability in Spain: a quantitative and semiqualitative analysis using reservoir sedimentation rates

TL;DR: Salas et al. as mentioned in this paper developed a factorial scoring index model that provides a fairly accurate and reliable prediction of area-specific sediment yield (SSY) for 60 catchments in Spain that was retrieved from sediment deposition rates in reservoirs.
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Partial least-squares regression for linking land-cover patterns to soil erosion and sediment yield in watersheds.

TL;DR: Wang et al. as mentioned in this paper investigated the landscape patterns within watersheds in the Upper Du River watershed (8973 km 2 ) in China and examined how the spatial patterns of land cover are related to the soil erosion and sediment yield of watersheds using hydrological modeling and partial least squares regression (PLSR).
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