Dynamic variation of groundwater level and its influencing factors in typical oasis irrigated areas in Northwest China

被引:2
作者
Wang, Wenzan [1 ,2 ]
Tian, Hao [1 ,2 ]
Yang, Guang [1 ,2 ]
Liu, Bing [1 ,2 ]
Pan, Yue [1 ,2 ]
Ding, Guoliang [3 ]
Xu, Xingang [1 ,2 ]
Dan, Yier [1 ,2 ]
Cui, Mingda [1 ,2 ]
Gao, Yongli [4 ]
机构
[1] Shihezi Univ, Coll Water Conservancy & Architectural Engn, Shihezi 832003, Peoples R China
[2] Key Lab Cold & Arid Reg Ecohydraul Engn Xinjiang P, Shihezi 832003, Peoples R China
[3] XPCC Surveying & Designing Inst Grp Co Ltd, Shihezi 832003, Peoples R China
[4] Univ Texas San Antonio, Dept Earth & Planetary Sci, San Antonio, TX 78249 USA
基金
中国国家自然科学基金;
关键词
groundwater level; variance of contrast coefficient; path analysis; Shihezi irrigation area;
D O I
10.1515/geo-2022-0493
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
It is essential to analyze the dynamic characteristics of regional groundwater levels and their driving factors for the rational development of groundwater in irrigated areas. This article explores the spatial distribution characteristics of the amplitude of groundwater level change in the Shihezi irrigated area by using the ArcGIS interpolation method and contrast coefficient variance method and analyzes the influence factors of dynamic change of groundwater levels by integrating the grey relational degree and path analysis methods and obtaining the sensitivity of each influencing factor to changes in groundwater levels and the relative importance of the influencing factors. The following results are obtained: (1) the groundwater level of the Shihezi irrigated area showed an overall increasing trend from 2012 to 2019, with a fluctuation range of 12.26-14.14 m. The groundwater level in the southeast of the irrigated area showed an upward trend, while the groundwater level in the northwest area showed a downward trend. (2) The groundwater level in the irrigated area first increased, then decreased, and then increased again. The variance of the contrast coefficient in the irrigated area ranged from 0.04 to 11.31, and the fluctuation range of the groundwater level in the central area was higher than that in the northern and southern areas. (3) The irrigated area of cultivated land and evaporation are the main factors affecting groundwater level change in the Shihezi irrigated area. The grey relation analysis shows that the irrigated area of cultivated land has the highest grey correlation degree with the evolution of the groundwater level, which is 0.947, and the average grey correlation index is between 0.74 and 0.95. Path analysis showed that the irrigated area of cultivated land, surface water usage, and evaporation were the main factors affecting groundwater levels. Human activities are one of the main driving forces of groundwater level change, and the research results provide a theoretical basis for the rational utilization and sustainable development of groundwater resources in the Shihezi irrigation area.
引用
收藏
页数:11
相关论文
共 40 条
  • [31] [闫卉果 Yan Huiguo], 2022, [西南大学学报. 自然科学版, Journal of Southwest University. Natural Science Edition], V44, P74
  • [32] Yang Cheng Yang Cheng, 2016, Journal of Henan Agricultural Sciences, V45, P19
  • [33] EFFECT OF DRIP IRRIGATION WITH BRACKISH WATER ON THE SOIL CHEMICAL PROPERTIES FOR A TYPICAL DESERT PLANT (HALOXYLON AMMODENDRON)IN THE MANAS RIVER BASIN
    Yang, Guang
    Liu, Saihua
    Yan, Ke
    Tian, Lijun
    Li, Pengfei
    Li, Xiaolong
    He, Xinlin
    [J]. IRRIGATION AND DRAINAGE, 2020, 69 (03) : 460 - 471
  • [34] [杨明杰 Yang Mingjie], 2018, [干旱区资源与环境, Journal of Arid Land Resources and Environment], V32, P174
  • [35] Application of grey correlation analysis for evaluating the artificial lake site in Pingtung Plain, Taiwan
    Yeh, YL
    Chen, TC
    [J]. CANADIAN JOURNAL OF CIVIL ENGINEERING, 2004, 31 (01) : 56 - 64
  • [36] Study on micromechanisms of macro evaluation indexes for asphalt based on grey relation analysis
    Yin, Lihui
    Wang, Yang
    Yu, Tengjiang
    Zhang, Haitao
    Wang, Haomin
    Chen, Dan
    [J]. INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING, 2022, 23 (14) : 5186 - 5197
  • [37] Yu GuoQiang Yu GuoQiang, 2009, Transactions of the Chinese Society of Agricultural Engineering, V25, P74
  • [38] Prediction of groundwater level variations based on gravity recovery and climate experiment (GRACE) satellite data and a time-series analysis: a case study in the Lake Urmia basin, Iran
    Zarinmehr, Hawzhin
    Tizro, A. Taheri
    Fryar, Alan E.
    Pour, M. Khodamorad
    Fasihi, Rojin
    [J]. ENVIRONMENTAL EARTH SCIENCES, 2022, 81 (06)
  • [39] Zhang Y, 2022, CHINA RURAL WATER HY, V7, P110
  • [40] Zhou Z.G., 2022, Mater. Rep., V36, P121