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Evaluation of Environmental Risk Due to Metro System Construction in Jinan, China

Author

Listed:
  • Guo-Fu Wang

    (Jinan Rail Transit Group Co., Ltd., Jinan 250101, China
    Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Hai-Min Lyu

    (Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Jack Shuilong Shen

    (Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
    Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

  • Lin-Hai Lu

    (Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Gang Li

    (Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration (CISSE), Department of Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Arul Arulrajah

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC 3122, Australia)

Abstract

Jinan is a famous spring city in China. Construction of underground metro system may block groundwater seepage, inducing the depletion risk of springs. This paper presents an assessment of the risk due to metro line construction to groundwater in Jinan City using Analytic Hierarchy Process (AHP) and Geographic International System (GIS). Based on the characteristics of hydrogeology and engineering geology, the assessment model is established from the perspectives of surface index and underground index. The assessment results show that the high and very high risk levels of surface index exceed 98% in the north region; and high and very high risk levels of underground index exceed 56% in urban center and southern region. The assessment result also shows that about 14% of the urban area belongs to very high risk level; regions of high risk are 20% in urban area, 9% in Changqing County and 43% in Pingyin County. In the high risk region, metro lines R1 to R3, which are under construction, and metro lines L1 to L5, which are planned, have very high and high risk. Therefore, risk control measures are proposed to protect the groundwater seepage path to spring.

Suggested Citation

  • Guo-Fu Wang & Hai-Min Lyu & Jack Shuilong Shen & Lin-Hai Lu & Gang Li & Arul Arulrajah, 2017. "Evaluation of Environmental Risk Due to Metro System Construction in Jinan, China," IJERPH, MDPI, vol. 14(10), pages 1-22, September.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:10:p:1114-:d:113173
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    References listed on IDEAS

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    1. Ye-Shuang Xu & Yao Yuan & Shui-Long Shen & Zhen-Yu Yin & Huai-Na Wu & Lei Ma, 2015. "Investigation into subsidence hazards due to groundwater pumping from Aquifer II in Changzhou, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(1), pages 281-296, August.
    2. Hai-Min Lyu & Guo-Fu Wang & Wen-Chieh Cheng & Shui-Long Shen, 2017. "Tornado hazards on June 23 in Jiangsu Province, China: preliminary investigation and analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 85(1), pages 597-604, January.
    3. Ye-Shuang Xu & Shui-Long Shen & Dong-Jie Ren & Huai-Na Wu, 2016. "Analysis of Factors in Land Subsidence in Shanghai: A View Based on a Strategic Environmental Assessment," Sustainability, MDPI, vol. 8(6), pages 1-12, June.
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    Cited by:

    1. Chenying Li & Tiantian Zhang & Xi Wang & Zefeng Lian, 2022. "Site Selection of Urban Parks Based on Fuzzy-Analytic Hierarchy Process (F-AHP): A Case Study of Nanjing, China," IJERPH, MDPI, vol. 19(20), pages 1-27, October.

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