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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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On the use of multi-algorithm, genetically adaptive multi-objective method for multi-site calibration of the SWAT model

TL;DR: A multi‐algorithm, genetically adaptive multi‐objective method (AMALGAM) for multi‐site calibration of a distributed hydrologic model—Soil and Water Assessment Tool (SWAT) is evaluated and its performance with two widely used evolutionary multi‐ objective optimization (EMO) algorithms is compared.
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A test of TOPMODEL'a ability to predict spatially distributed groundwater levels

TL;DR: In this article, the TOPMODEL was calibrated to a small catchment using precipitation and runoff data and the results showed that the predictions of groundwater levels using this calibration did not agree well with observations at the 37 points within the catchment where groundwater levels were measured, including three locations with continuous recordings.
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A soil moisture index as an auxiliary ANN input for stream flow forecasting

TL;DR: In this article, low-frequency ANN input candidates are considered: the potential evapotranspiration, the antecedent precipitation index (API i, i =7, 15, 30, 60, and 120 days), and a proposed soil moisture index time series (SMI A, for A =100, 200, 400 and 800 mm).
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