Literature DB >> 25193825

Uncertainty analyses on the calculation of water environmental capacity by an innovative holistic method and its application to the Dongjiang River.

Qiuwen Chen1, Qibin Wang2, Zhijie Li2, Ruonan Li2.   

Abstract

The estimation and allocation of water environmental capacity (WEC) are essential to water quality management and social-economic interests. However, there is inevitable uncertainty in the capacity estimation due to model conceptualization, data collection and parameter calibration. An innovative holistic approach was developed, which took both independence and relevance between parameters into account to analyze the uncertainties in WEC calculation and estimate the margin of safety. The Dongjiang River was taken as the case to demonstrate the method, focusing on the chemical oxygen demand and NH4(+)-N that were the two major water quality problems in the river. The results showed that the proposed holistic approach is very promising and applicable compared to traditional methods of uncertainty analysis.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Dongjiang River; Holistic approach; Model uncertainty; Water environmental capacity

Mesh:

Year:  2014        PMID: 25193825     DOI: 10.1016/j.jes.2014.06.025

Source DB:  PubMed          Journal:  J Environ Sci (China)        ISSN: 1001-0742            Impact factor:   5.565


  2 in total

1.  Calculation of permissible load capacity and establishment of total amount control in the Wujin River Catchment--a tributary of Taihu Lake, China.

Authors:  Ruibin Zhang; Hailong Gao; Wenting Zhu; Wei Hu; Rui Ye
Journal:  Environ Sci Pollut Res Int       Date:  2015-03-31       Impact factor: 4.223

2.  New Framework for Dynamic Water Environmental Capacity Estimation Integrating the Hydro-Environmental Model and Load-Duration Curve Method-A Case Study in Data-Scarce Luanhe River Basin.

Authors:  Huiyu Jin; Wanqi Chen; Zhenghong Zhao; Jiajia Wang; Weichun Ma
Journal:  Int J Environ Res Public Health       Date:  2022-07-09       Impact factor: 4.614

  2 in total

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