Risk Assessment and Control for Geohazards at Multiple Scales: An Insight from the West Han River of Gansu Province in China

被引:0
|
作者
Ye, Zhennan [1 ,2 ,3 ,4 ]
Tian, Yuntao [3 ,4 ]
Li, Hao [3 ,4 ]
Shao, Changqing [3 ,4 ]
Gao, Youlong [3 ,4 ]
Wang, Gaofeng [3 ,4 ]
机构
[1] China Univ Geosci, Fac Engn, Wuhan 430074, Peoples R China
[2] Chinese Acad Geol Sci, Beijing 100084, Peoples R China
[3] China Geol Survey, Ctr Hydrogeol & Environm Geol, Tianjin 300304, Peoples R China
[4] MNR, Observat & Res Stn Geol Disaster Monitoring & Earl, Chongqing 404100, Peoples R China
关键词
geohazard; risk assessment; multi-scale; hazard mapping; vulnerability; GIS; LANDSLIDE SUSCEPTIBILITY; VULNERABILITY ASSESSMENT; PHYSICAL VULNERABILITY; FREQUENCY RATIO; DECISION TREE; HAZARD; BUILDINGS; AREA; FRAGILITY; MACHINE;
D O I
10.3390/w16131764
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Risk assessment provides a powerful tool for the early warning and risk mitigation of geohazards. However, few efforts have been made regarding risk assessment and dynamic control at multiple scales. With respect to this issue, the West Han River catchment in the Gansu Province of China was taken as a study area, and geohazard risk assessments at three different scales were carried out, namely regional, local and site scales. Hazard assessment was performed using the combination of the information value and hierarchical analysis models, infinite slope stability model, and FLO-2D model. Vulnerability was estimated from two viewpoints, including physical vulnerability and social vulnerability, by applying remote sensing and semi-quantitative methods. Finally, risk mapping and zonation was obtained from the products of hazard and vulnerability, and corresponding measures of risk management and control at different scales were recommended. The results indicated that the geohazard risk at the regional scale was the highest under the earthquake and rainfall conditions with a 100-year (100a) return period, respectively, and the area of very high risk level reached 5%. When the rainfall condition had a return period of 50 years, only 1% of the area was located in the very high-risk region. Additionally, the overall risk was higher in the central and northeastern parts of the region under heavy rainfall and earthquake conditions. The overall risk level in Longlin-Leiba Town (at the local scale) responded more significantly to heavy rainfall conditions, with higher risk in the southwestern, central, and northeastern parts of the region. For the site scale (Wujiagou debris flow), only 2% of the total area was identified as very high-risk even under heavy rainfall with a 100a return period, but the proportions for the low and moderate levels reached 30% and 56%, respectively. The present study can provide scientific references for geohazard risk assessment and control.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Estimation of desertification risk from soil erosion: a case study for Gansu Province, China
    Zhang, Chen
    McBean, Edward A.
    STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2016, 30 (08) : 2215 - 2229
  • [22] Study on Heavy Metals and Ecological Risk Assessment from Gansu, Ningxia and Inner Mongolia Sections of the Yellow River, China
    Liu Jing-jun
    Liu Ying
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (12) : 3249 - 3254
  • [23] The distribution of formation lithology and its control on geological disasters in the Bailong River basin of southern Gansu Province, China
    Ma, Xiaoyi
    Yang, Hailin
    Yang, Huan
    Shu, Heping
    2018 2ND INTERNATIONAL WORKSHOP ON RENEWABLE ENERGY AND DEVELOPMENT (IWRED 2018), 2018, 153
  • [24] Assessment of heavy metals in surface sediments from Gansu section of Yellow River, China
    Z. Shang
    J. Ren
    L. Tao
    X. Wang
    Environmental Monitoring and Assessment, 2015, 187
  • [25] Haplotype and Genetic Analysis of 41 Y-STR Loci in the Wuwei Han Population from Gansu Province, China
    Lu-yao Li
    Sheng-gui Fan
    Hui Gong
    Xing Fan
    De-chun Wang
    Neng-xiu Li
    Fu-quan Jia
    Current Medical Science, 2023, 43 : 184 - 190
  • [26] Assessment of heavy metals in surface sediments from Gansu section of Yellow River, China
    Shang, Z.
    Ren, J.
    Tao, L.
    Wang, X.
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2015, 187 (03) : 1 - 10
  • [27] Haplotype and Genetic Analysis of 41 Y-STR Loci in the Wuwei Han Population from Gansu Province, China
    Li, Lu-yao
    Fan, Sheng-gui
    Gong, Hui
    Fan, Xing
    Wang, De-chun
    Li, Neng-xiu
    Jia, Fu-quan
    CURRENT MEDICAL SCIENCE, 2023, 43 (01) : 184 - 190
  • [28] Risk Assessment and Attribution Analysis of Potentially Toxic Elements in Soil of Dongdagou, Baiyin, Gansu Province, China
    Zhang, Lirui
    Wang, Bo
    Zhang, Songlin
    SUSTAINABILITY, 2024, 16 (04)
  • [29] Landslides and their control in the Chinese Loess Plateau: models and case studies from Gansu Province, China
    Meng, XM
    Derbyshire, E
    GEOHAZARDS IN ENGINEERING GEOLOGY, 1998, (15): : 141 - 153
  • [30] Hydrochemical Characteristics and Risk Assessment of Tongzi River, Guizhou Province, Southwest China
    Lu, Jiemei
    An, Yanling
    WATER, 2023, 15 (04)