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A Vulnerability Evaluation of the Phreatic Water in the Plain Area of the Junggar Basin, Xinjiang Based on the VDEAL Model

Author

Listed:
  • Ruiliang Jia

    (College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, NO. 311 East Nongda Road, Urumqi 830052, China)

  • Jinlong Zhou

    (College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, NO. 311 East Nongda Road, Urumqi 830052, China
    Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, NO. 268 North Zhonghua Road, Shijiazhuang 050061, China
    School of Environmental Science, China University of Geosciences (Wuhan), NO. 388 Lumo Road, Wuhan 430074, China)

  • Yinzhu Zhou

    (School of Water Resources and Environment, China University of Geosciences (Beijing), NO. 29 Xueyuan Road, Beijing 100083, China
    These authors contributed equally to this work.)

  • Qiao Li

    (College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, NO. 311 East Nongda Road, Urumqi 830052, China
    These authors contributed equally to this work.)

  • Yexin Gao

    (Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, NO. 268 North Zhonghua Road, Shijiazhuang 050061, China
    These authors contributed equally to this work.)

Abstract

A VDEAL (V is the lithology of the vadose zone, D is the groundwater depth, E is the degree of groundwater exploitation, A is the aquifer characteristics and L is the land use pattern.) model, which is suitable for a vulnerability evaluation of the groundwater in arid inland areas, and that is based on the GOD (G is the groundwater status, O is overburden feature and D is groundwater depth) method and DRASTIC (D is the depth of water-table, R is the net recharge, A is the aquifer media, S is the soil media, T is the topography, I is the impact of the vadose and C is the conductivity of the aquifer.) model is proposed in this paper. Five indicators were selected by reference to the DRAV (D is the depth of water-table, R is the net recharge, A is the aquifer media and V is the impact of the vadose.) and VLDA (V is the lithology of the vadose zone , L is the land use pattern, D is the groundwater depth and A is the aquifer characteristics and.) models, namely, the lithology of the vadose zone (V), the groundwater depth (D), the degree of groundwater exploitation (E), the aquifer characteristics (A) and the land use pattern (L). According to monitoring data from 2003 and 2011, the variations of phreatic water quality in the plain area of the Junggar Basin were divided into three types: the water quality may have deteriorated, be unchanged or improved. Four groups of indicator weights were configured to calculate the vulnerability index using the VDEAL model. The changes of phreatic water quality were then compared against the vulnerability index. The normalized weights of V, D, E, A, and L were respectively 0.15, 0.25, 0.10, 0.10, and 0.40; this is according to the principle that the sampling sites of deteriorated water quality are generally distributed in a high-vulnerability region, and the sites of unchanged and improved water quality are distributed in middle vulnerability, low vulnerability and invulnerable regions. The evaluation results of phreatic water vulnerability in the plain area of the Junggar Basin based on the VDEAL model are as follows. The regions with vulnerability indexes of 2.0–4.0, 4.0–6.0, 6.0–8.0, and >8.0, respectively account for 2.2%, 61.0%, 35.9%, and 0.9% of the region. The regions with a higher vulnerability are mainly distributed in the farmlands and the sand and gravel regions with a phreatic water depth of <3 m. Moreover, the regions with a lower vulnerability are generally located in the non-irrigation regions with a sandy loam or silty fine sand and a phreatic water depth of >6 m. The phreatic water in these regions is deficient with regard to the infiltration of irrigation water and the recharge from precipitation.

Suggested Citation

  • Ruiliang Jia & Jinlong Zhou & Yinzhu Zhou & Qiao Li & Yexin Gao, 2014. "A Vulnerability Evaluation of the Phreatic Water in the Plain Area of the Junggar Basin, Xinjiang Based on the VDEAL Model," Sustainability, MDPI, vol. 6(12), pages 1-14, November.
  • Handle: RePEc:gam:jsusta:v:6:y:2014:i:12:p:8604-8617:d:42813
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    References listed on IDEAS

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    1. Baalousha, Husam, 2010. "Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: A case study from Heretaunga Plains, New Zealand," Agricultural Water Management, Elsevier, vol. 97(2), pages 240-246, February.
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    Cited by:

    1. Xianlong Zhang & Fei Zhang & Hsiang-te Kung & Ping Shi & Ayinuer Yushanjiang & Shidan Zhu, 2018. "Estimation of the Fe and Cu Contents of the Surface Water in the Ebinur Lake Basin Based on LIBS and a Machine Learning Algorithm," IJERPH, MDPI, vol. 15(11), pages 1-20, October.
    2. Zhi Tu & Yinzhu Zhou & Jinlong Zhou & Shuangbao Han & Jinwei Liu & Jiangtao Liu & Ying Sun & Fangyuan Yang, 2023. "Identification and Risk Assessment of Priority Control Organic Pollutants in Groundwater in the Junggar Basin in Xinjiang, P.R. China," IJERPH, MDPI, vol. 20(3), pages 1-21, January.

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