Literature DB >> 19523765

Geochemistry of the upper Han River basin, China. 2: Seasonal variations in major ion compositions and contribution of precipitation chemistry to the dissolved load.

Siyue Li1, Quanfa Zhang.   

Abstract

A total of 252 water samples were collected from 42 sites across the upper Han River basin during the time period from 2005-2006. Major ions (Cl(-), NO3(-), SO4(2-), HCO3(-), Na+, K+, Ca2+ and Mg2+), Si, water temperature, pH, EC and TDS were determined and consequently correlation matrix, analysis of variance, factor analysis and principal component analysis were performed in order to identify their seasonal variations and atmospheric inputs into river solutes. The results reveal that pH, EC, TDS, Cl(-), SO4(2-), HCO3(-), Ca2+ and Mg2+, K+ and Si generally tend to show the minimum compositions in months belong to the rainy season, while the dry season for NO3(-) and Na+. NO3(-), Mg2+ and Si have the maximum concentrations in months belong to the rainy season. By comparing the major ions relating to hydrological regime, NO3(-), contrary to other elements, has higher concentration in the rainy season. The overall water quality is non-polluted, while there are indications of enrichment of inorganic anions including NO3(-) causing water entrophication in the near future. The atmospheric inputs contribute to river solutes is limited with a mean inputs of approximate 1% in the basin. The understanding of the major ion dynamics would help water quality conservation in the basin for China's interbasin water transfer project.

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Year:  2009        PMID: 19523765     DOI: 10.1016/j.jhazmat.2009.05.022

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  4 in total

1.  Carbon concentrations and their stable isotopic signatures in the upper Han River, China.

Authors:  Xi Han; Xiaoli Cheng; Siyue Li; Jie Yuan; Quanfa Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-03-11       Impact factor: 4.223

2.  Long-term evolution of the composition of surface water from the River Gharasoo, Iran: a case study using multivariate statistical techniques.

Authors:  A Rezaei; M H Sayadi
Journal:  Environ Geochem Health       Date:  2014-08-31       Impact factor: 4.609

3.  Improving the sampling strategy of the Joint Danube Survey 3 (2013) by means of multivariate statistical techniques applied on selected physico-chemical and biological data.

Authors:  Carmen Hamchevici; Ion Udrea
Journal:  Environ Monit Assess       Date:  2013-05-31       Impact factor: 2.513

4.  Effects of catchment and riparian landscape setting on water chemistry and seasonal evolution of water quality in the upper Han River basin, China.

Authors:  Siyue Li; Xiaoling Xia; Xiang Tan; Quanfa Zhang
Journal:  PLoS One       Date:  2013-01-22       Impact factor: 3.240

  4 in total

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