Journal ArticleDOI
River flow forecasting through conceptual models part I — A discussion of principles☆
J.E. Nash,J.V. Sutcliffe +1 more
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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.About:
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.read more
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Impact assessment of combined climate and management scenarios on groundwater resources and associated wetland (Majorca, Spain).
TL;DR: Houghton et al. as mentioned in this paper investigated climate change impact on a groundwater dependent wetland and natural recharge in the Inca-Sa Pobla coastal aquifer for the year 2025.
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Assessing water resources in China using PRECIS projections and a VIC model
Guoqing Wang,J. Y. Zhang,J. L. Jin,Thomas C. Pagano,R. Calow,Z. X. Bao,C. S. Liu,Y. L. Liu,X. L. Yan +8 more
TL;DR: In this article, a Variable Infiltration Capacity (VIC) model with a resolution of 50×50 km2 using data from 125 well-gauged catchments was used to assess the implications of climate change for water resources in China.
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Integration of artificial neural networks with conceptual models in rainfall-runoff modeling
Jieyun Chen,Barry J. Adams +1 more
TL;DR: In this paper, a hybrid form of rainfall-runoff models that integrates artificial neural networks (ANNs) with conceptual models is proposed in order to explore nonlinear transformations of the runoff generated from individual sub-catchments into the total runoff at the entire watershed outlet.
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A dynamic rating curve approach to indirect discharge measurement
TL;DR: In this article, an original approach, based on simultaneous stage measurements at two adjacent cross sections, is introduced and compared to the approaches described in the literature, and the results clearly show the improvement in the discharge estimation and the reduction of estimation errors obtainable using the proposed approach.
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Adaptive neuro fuzzy inference system for classification of water quality status.
Han Yan,Zhihong Zou,Huiwen Wang +2 more
TL;DR: An adaptive neuro fuzzy inference system was used for classifying water quality status of river and up to 89.59% of the data could be correctly classified using this model, more competitive when compared with artificial neural networks.