Data in risk assessment of mega-city infrastructures related to land subsidence using improved trapezoidal FAHP

被引:5
|
作者
Lyu, Hai-Min [1 ,2 ]
Shen, Shui-Long [1 ,2 ,3 ]
Zhou, Annan [3 ]
Yang, Jun [4 ]
机构
[1] Shantou Univ, Minist Educ, Key Lab Intelligent Mfg Technol, Shantou 515063, Guangdong, Peoples R China
[2] Shantou Univ, Coll Engn, Dept Civil & Environm Engn, Shantou 515063, Guangdong, Peoples R China
[3] RMIT, Sch Engn, Civil & Infrastruct Engn Discipline, Melbourne, Vic 3001, Australia
[4] Univ Hong Kong, Dept Civil Engn, Pokfulam, Hong Kong, Peoples R China
来源
DATA IN BRIEF | 2020年 / 28卷
关键词
Land subsidence; Risk assessment; Trapezoidal fuzzy number; FAHP; GIS; METRO SYSTEMS; MANAGEMENT;
D O I
10.1016/j.dib.2019.105007
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Land subsidence caused serious damages of mage-city infrastructures. This data in brief presents a new questionnaire to establish judgment matrix during the risk assessment of land subsidence. The data source of the assessment factors is provided. The analytical hierarchy process (AHP) and interval fuzzy AHP (FAHP) are used to calibrate the weights of assessment factors. The new questionnaire is used to collect the viewpoints from experts. Based on the viewpoints of experts, the judgment matrix can be established using pairwise comparison. The data presented herein was used for the article, titled "Risk assessment of mega-city infrastructures related to land subsidence using improved trapezoidal FAHP" Lyu et al. (2019) [1]. (C) 2019 The Author(s). Published by Elsevier Inc.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Land Subsidence Monitoring and Building Risk Assessment Using InSAR and Machine Learning in a Loess Plateau City-A Case Study of Lanzhou, China
    Xu, Yuanmao
    Wu, Zhen
    Zhang, Huiwen
    Liu, Jie
    Jing, Zhaohua
    REMOTE SENSING, 2023, 15 (11)
  • [22] Urban land subsidence monitoring and risk assessment using the point target based SBAS-InSAR method: a case study of Changsha City
    He, Yang
    Li, Xueyu
    Yang, Jiancheng
    Liu, Yiming
    Yang, Guihua
    Hu, Miaowen
    Chen, Shuaiqi
    Yao, Haipeng
    Wang, Lingjue
    Xiong, Xiong
    REMOTE SENSING LETTERS, 2024, 15 (07) : 689 - 699
  • [23] Aquifer and Land Subsidence Interaction Assessment Using Sentinel-1 Data and DInSAR Technique
    Rafiei, Fatemeh
    Gharechelou, Saeid
    Golian, Saeed
    Johnson, Brian Alan
    ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 11 (09)
  • [24] Determination of Susceptibility to the Generation of Discontinuities Related to Land Subsidence Using the Frequency Ratio Method in the City of Aguascalientes, Mexico
    Luna-Villavicencio, Hugo
    Pacheco-Martinez, Jesus
    Ochoa-Gonzalez, Gil H.
    Hernandez-Marin, Martin
    Hernandez-Madrigal, Victor M.
    Lopez-Doncel, Ruben A.
    Reyes-Cedeno, Isai G.
    REMOTE SENSING, 2023, 15 (10)
  • [25] Reliability assessment of land subsidence monitoring results using PSI technique in Ho Chi Minh City, Vietnam
    Thao V.T.P.
    Giang D.T.
    Anh L.V.
    International Journal of Environmental Studies, 2024, 81 (02) : 881 - 895
  • [26] An integrated approach for risk assessment of land subsidence in Xi'an, China using optical and radar satellite images
    Zhao, Fumeng
    Gong, Wenping
    Tang, Huiming
    Pudasaini, Shiva P.
    Ren, Tianhe
    Cheng, Zhan
    ENGINEERING GEOLOGY, 2023, 314
  • [27] Groundwater Overexploitation Causing Land Subsidence: Hazard Risk Assessment Using Field Observation and Spatial Modelling
    Bijuan Huang
    Longcang Shu
    Y. S. Yang
    Water Resources Management, 2012, 26 : 4225 - 4239
  • [28] Land subsidence risk assessment using GIS fuzzy logic spatial modeling in Varamin aquifer, Iran
    Ghazaleh Mohebbi Tafreshi
    Mohammad Nakhaei
    Razyeh Lak
    GeoJournal, 2021, 86 : 1203 - 1223
  • [29] Groundwater Overexploitation Causing Land Subsidence: Hazard Risk Assessment Using Field Observation and Spatial Modelling
    Huang, Bijuan
    Shu, Longcang
    Yang, Y. S.
    WATER RESOURCES MANAGEMENT, 2012, 26 (14) : 4225 - 4239
  • [30] Land subsidence risk assessment using GIS fuzzy logic spatial modeling in Varamin aquifer, Iran
    Mohebbi Tafreshi, Ghazaleh
    Nakhaei, Mohammad
    Lak, Razyeh
    GEOJOURNAL, 2021, 86 (03) : 1203 - 1223