Literature DB >> 19542650

Effect of environmental flow management on river water quality: a case study at Yeongsan River, Korea.

Sung Min Cha1, Seo Jin Ki, Kyung Hwa Cho, Heechul Choi, Joon Ha Kim.   

Abstract

This paper describes a management scheme to control river water quality using additional water discharges from upstream dams, which results in an increase environmental flow (EF) followed by an enhancement of water quality in a target river. To suggest a creditable management plan among a suite of ideal scenarios, the monthly averaged water quality monitoring data from 2001 to 2006 at the Yeongsan (YS) River, Korea were investigated with respect to seasonal variation and spatial distribution. From the analysis, it was found that while biochemical oxygen demand (BOD(5)) level in the YS River was extremely high during the dry/drought season (April, May, and June; AMJ), the level was subsequently decreased during the monsoon season (July, August, and September; JAS) due mainly to the dilution effect of rainfall. To improve the water quality in AMJ, we here suggested a scenario of increasing EF using surplus water discharges from upstream dams, which was examined by one dimensional riverine water quality model, QUAL2E model. Simulation result showed that additional discharge from the upstream dams could lead, on average, to a 36% of water quality improvement in mainstream with respect to BOD(5). Model coefficients were validated by comparing the six year monitoring data to minimize a sum of squares error, and showed a good agreement with the observed data. Overall, the methodology developed in this paper appears to be quite clear and straightforward, and thus, can be applied to a wide range of the flow managements or water quality controls in a stream with artificial structures.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19542650     DOI: 10.2166/wst.2009.257

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  1 in total

1.  Decision support tool for accidental pollution management.

Authors:  Sorin N Ciolofan; Aurelian Draghia; Radu Drobot; Mariana Mocanu; Valentin Cristea
Journal:  Environ Sci Pollut Res Int       Date:  2017-12-23       Impact factor: 4.223

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.