Spatial variations and controls on the hydrochemistry of surface waters across the Ili-Balkhash Basin, arid Central Asia

被引:39
|
作者
Shen, Beibei [1 ]
Wu, Jinglu [2 ,3 ]
Zhan, Shuie [2 ]
Jin, Miao [2 ]
Saparov, A. S. [3 ]
Abuduwaili, Jilili [3 ]
机构
[1] Yangzhou Univ, Coll Environm Sci & Engn, Yangzhou 225127, Jiangsu, Peoples R China
[2] Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Peoples R China
[3] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China
基金
中国国家自然科学基金;
关键词
Ili-Balkhash Basin; Arid Central Asia; Hydrochemistry; Climate effects; Anthropogenic impact; TARIM RIVER-BASIN; CO2; CONSUMPTION; STABLE-ISOTOPES; GROUNDWATER; CLIMATE; SYSTEM; PRECIPITATION; GEOCHEMISTRY; CHEMISTRY;
D O I
10.1016/j.jhydrol.2021.126565
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Climate variability influences both water quantity and quality in lakes and rivers, e.g., shifts in salinity caused by changes in the evaporation/precipitation ratio. However, knowledge about climate and human influences on water quality in some regions is scarce, which causes uncertainty when evaluating water resources and developing water management plans. We measured the chemical composition and stable isotope values (delta D and delta O-18) in water samples from the Ili-Balkhash Basin, arid Central Asia, to investigate factors that control hydrologic processes in the area, and explore how the arid environment influences local hydrochemistry and water resources. Isotope values in lake waters (-24.1 parts per thousand ioDi and -1.5 parts per thousand [delta O-18]) are enriched relative to river waters (-84.6 parts per thousand [delta D] and -12.4 parts per thousand [delta O-18]), indicating that lake waters experience intense evaporation. In the upstream Ili River, waters with lowest delta D and delta O-18 values are supplied mainly by glacial ice and snow melt, whereas lower reaches of the river are affected increasingly by evaporation and human water extraction. Waters of the Ili River and other small rivers that drain to Lake Balkhash are chemically similar, and of the Ca-HCO3 type. Gibbs diagrams indicate that mineral weathering is the key process that controls river water chemistry. On average, carbonate and silicate weathering contribute 55.1% and 26.7%, respectively, to the total dissolved ion load in the river waters, illustrating the strong control that regional geology exerts on streamwater chemistry. In contrast, lake waters are characterized as Na-Cl type, which results mainly from evaporation and some evaporite dissolution. Weathering in the area is controlled by climate, i.e. precipitation and temperature. Moreover, a negative correlation between lake water total dissolved solids and d-excess, and a systematic increase in chemical concentrations and stable isotope values downstream in the Ili River, reflect the fact that arid climate conditions promote evaporation and affect water quality. PCA analysis and mass balance calculation of water chemistry suggests that humans contribute only 6.6% of the major ion load to waters, which display increasing concentrations in the middle and downstream regions. There, effects of human-mediated weathering and transport of salts from agricultural irrigation are reinforced by higher temperatures and evaporation.
引用
收藏
页数:10
相关论文
共 41 条
  • [21] Holocene dust storm variations across northern monsoonal Asia and arid central Asia: Contrasting impacts of climate change
    Chen, Shengqian
    Liu, Jianbao
    Ma, Shuai
    Fan, Yijiao
    Jia, Jia
    Chen, Jianhui
    Chen, Fahu
    GLOBAL AND PLANETARY CHANGE, 2024, 240
  • [22] Spatial and temporal variability of stable isotopes (δ18O and δ2H) in surface waters of arid, mountainous Central Asia
    Wu, Huawu
    Wu, Jinglu
    Sakiev, Kadyrbek
    Liu, Jinzhao
    Li, Jing
    He, Bin
    Liu, Ya
    Shen, Beibei
    HYDROLOGICAL PROCESSES, 2019, 33 (12) : 1658 - 1669
  • [23] Spatial Variation in Desert Spring Vegetation Biomass, Richness and Their Environmental Controls in the Arid Region of Central Asia
    Zhou, Shijie
    Dong, Yiqiang
    Julihaiti, Asitaiken
    Nie, Tingting
    Jiang, Anjing
    An, Shazhou
    SUSTAINABILITY, 2022, 14 (19)
  • [24] A Distributed Hydrological Model Driven by Multi-Source Spatial Data and Its Application in the Ili River Basin of Central Asia
    Cai, Mingyong
    Yang, Shengtian
    Zeng, Hongjuan
    Zhao, Changsen
    Wang, Shudong
    WATER RESOURCES MANAGEMENT, 2014, 28 (10) : 2851 - 2866
  • [25] A Distributed Hydrological Model Driven by Multi-Source Spatial Data and Its Application in the Ili River Basin of Central Asia
    Mingyong Cai
    Shengtian Yang
    Hongjuan Zeng
    Changsen Zhao
    Shudong Wang
    Water Resources Management, 2014, 28 : 2851 - 2866
  • [26] Stable isotope composition of surface waters across the Pamir, Central Asia: Implications of precipitation seasonality
    Chen, Shenqiang
    Rugenstein, Jeremy K. C.
    Mulch, Andreas
    JOURNAL OF HYDROLOGY, 2025, 653
  • [27] Spatial Variations in the Stable Isotopic Compositions of Surface and Groundwaters across Central Sri Lanka
    Tsuchihara, Takeo
    Yoshimoto, Shuhei
    Shirahata, Katsushi
    Ishida, Satoshi
    Minakawa, Hiroki
    Miyazu, Susumu
    JARQ-JAPAN AGRICULTURAL RESEARCH QUARTERLY, 2019, 53 (01): : 21 - 30
  • [28] Analysis of runoff variations in an arid catchment based on multi-model ensemble- a case study in the Tarim River Basin in Central Asia
    Gao, Xiaoyu
    Fang, Gonghuan
    Chen, Yaning
    Zhang, Xueqi
    FRONTIERS IN EARTH SCIENCE, 2023, 11
  • [29] Quantifying the influences of land surface parameters on LST variations based on GeoDetector model in Syr Darya Basin, Central Asia
    Wang, Wei
    Samat, Alim
    Abuduwaili, Jilili
    Ge, Yongxiao
    JOURNAL OF ARID ENVIRONMENTS, 2021, 186
  • [30] Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models
    Hu, Zengyun
    Zhang, Zizhan
    Sang, Yan-Fang
    Qian, Jing
    Feng, Wei
    Chen, Xi
    Zhou, Qiming
    JOURNAL OF HYDROLOGY, 2021, 596