Literature DB >> 32208269

Importance of Ssurface water background values for objectively assessing water quality in a unique basin.

Maoqing Duan1, Xia Du2, Wenqi Peng3, Cuiling Jiang4, Shijie Zhang5, Yang Ding6, Luqing Yan6.   

Abstract

Ignoring differences in surface water background values of different basins is a prominent shortcoming in water resource assessment and management systems in China. This study described the impact of this shortcoming on the results of water quality assessments by analysing water quality and the intensity of anthropogenic activities in 10 water resource basins in China. In particular, the Songhuajiang River Basin had a relatively undegraded natural environment with minimal anthropogenic activity. However, water quality assessment results showed the lowest water quality, and this basin is the most seriously affected by background values. The Huma River source water reserve was selected to conduct research of background value identification, concentration characteristics, migration and transformation laws, and output mechanism characteristics to enable the acknowledgment of the severe background value problem. Most data collected in basins with minimal anthropogenic pollution failed to meet Chinese water quality standard requirements, and high background values mainly resulted from litter leachate and soil erosion by rainfall or snowmelt runoff. A revised water quality assessment method was proposed in view of the particularity and heterogeneity of background values in the Songhuajiang River Basin. This study therefore clarified the negative impact of background values on water quality assessments, so that these values can be properly considered in Chinese water quality assessment and management systems.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Assessment and management; Background value; Surface water; Water quality; Water resource basin

Year:  2020        PMID: 32208269     DOI: 10.1016/j.scitotenv.2020.137922

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Response of surface water quality characteristics to socio-economic factors in Eastern-Central China.

Authors:  Maoqing Duan; Shilu Zhang; Mingxia Xu; Junyu He; Xinrui Li; Jun Zhang
Journal:  PLoS One       Date:  2022-04-12       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.