Possible Hydrochemical Processes Influencing Dissolved Solids in Surface Water and Groundwater of the Kaidu River Basin, Northwest China

被引:12
|
作者
Li, Dalong [1 ,2 ]
Chen, Haiyan [3 ]
Jia, Shaofeng [1 ,2 ]
Lv, Aifeng [1 ,2 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Hainan Normal Univ, Coll Geog & Environm Sci, Haikou 571158, Hainan, Peoples R China
基金
中国国家自然科学基金;
关键词
stream water; groundwater; Kaidu River Basin; hydrochemical process; water-rock interaction; human activity; GEOCHEMICAL EVOLUTION; CLIMATE-CHANGE; ELEMENTS; QUALITY; CATCHMENT; MOUNTAINS; GLACIERS; IMPACT; AREAS; LAKE;
D O I
10.3390/w12020467
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Hydrochemical processes under intense human activities were explored on the basis of the hydrochemical characteristics of 109 surface water samples and 129 groundwater samples collected during August 2015 to September 2016, in the Kaidu River Basin. Results obtained in this study indicated that the water in the basin was neutral to slightly alkaline with low total dissolved solids. Rock weathering and evaporation controlled the natural hydrochemical mechanisms. Mountain groundwater and stream water were dominated by Ca2+-HCO3- type water, whereas the plains groundwater was dominated by mixed type water. The results of principal component analysis demonstrated that water-rock interaction and human activity explained 71.6% and 12.9% of surface water hydrochemical variations, respectively, and 75.1% and 14.2% of groundwater hydrochemical variations, respectively. Sulfate, chloride, and carbonate weathering were the major water-rock interaction processes. Livestock farming and agricultural activities were the primary human activities influencing the water hydrochemistry. In addition, cation exchange is another important process influencing the hydrochemical characteristics in the study area. This study would be helpful in forecasting of water quality in arid areas.
引用
收藏
页数:15
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