A data-driven evaluation of post-fire landslide susceptibility

被引:5
|
作者
Culler, Elsa S. [1 ,2 ]
Livneh, Ben [1 ,2 ]
Rajagopalan, Balaji [1 ]
Tiampo, Kristy F. [2 ,3 ]
机构
[1] Univ Colorado Boulder, Dept Civil Architectural & Environm Engn, Boulder, CO 80309 USA
[2] Univ Colorado Boulder, Cooperat Inst Res Environm Sci CIRES, Boulder, CO 80309 USA
[3] Univ Colorado Boulder, Dept Geol Sci, Boulder, CO USA
基金
美国国家航空航天局;
关键词
DEBRIS FLOWS; LOGISTIC-REGRESSION; HAZARD; WILDFIRE; RISK; SEVERITY; FLOODS;
D O I
10.5194/nhess-23-1631-2023
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Wildfires change the hydrologic and geomorphic response of watersheds, which has been associated with cascades of additional hazards and management challenges. Among these post-wildfire events are shallow landslides and debris flows. This study evaluates post-wildfire mass movement trigger characteristics by comparing the precipitation preceding events at both burned and unburned locations. Landslide events are selected from the NASA Global Landslide Catalog (GLC). Since this catalog contains events from multiple regions worldwide, it allows a greater degree of inter-region comparison than many more localized catalogs. Fire and precipitation histories for each site are established using Moderate Resolution Imagine Spectroradiometer (MODIS) Burned Area and Climate Hazards group InfraRed Precipitation with Station data (CHIRPS) precipitation data, respectively. Analysis of normalized 7 d accumulated precipitation for sites across all regions shows that, globally, mass movements at burned sites are preceded by less precipitation than mass movements without antecedent burn events. This supports the hypothesis that fire increases rainfall-driven mass movement hazards. An analysis of the seasonality of mass movements at burned and unburned locations shows that mass-movement-triggering storms in burned locations tend to exhibit different seasonality from rainfall-triggered mass movements in areas undisturbed by recent fire, with a variety of seasonal shifts ranging from approximately 6 months in the Pacific Northwest of North America to 1 week in the Himalayan region. Overall, this paper offers an exploration of regional differences in the characteristics of rainfall-triggered mass movements at burned and unburned sites over a broad spatial scale and encompassing a variety of climates and geographies.
引用
收藏
页码:1631 / 1652
页数:22
相关论文
共 50 条
  • [41] Post-Fire Evaluation Using SPOT 4 Satellite Images
    Sunar, Filiz
    Esemen, Kerem
    Ozkan, Coskun
    IMAGIN [E,G] EUROPE, 2010, : 404 - 411
  • [42] Post-fire properties of composites
    Solid Mech. Appl., 2006, (215-236):
  • [43] The post-fire stability index; a new approach to monitoring post-fire recovery by satellite imagery
    Gibson, Rebecca K.
    White, Laura A.
    Hislop, Samuel
    Nolan, Rachael H.
    Dorrough, Josh
    REMOTE SENSING OF ENVIRONMENT, 2022, 280
  • [44] Burn Severity and Post-Fire Erosion Control Affect Post-Fire Woody Plant Recruitment
    Booth, Emily M.
    Creacy, Greg
    Fowler, Norma L.
    NATURAL AREAS JOURNAL, 2019, 39 (02) : 189 - 196
  • [45] Integrating data-driven and physically based landslide susceptibility methods using matrix models to predict reservoir landslides
    Xue, Zhenghai
    Feng, Wenkai
    Yi, Xiaoyu
    Dun, Jiawei
    Wu, Mingtang
    ADVANCES IN SPACE RESEARCH, 2024, 73 (03) : 1702 - 1720
  • [46] Data-driven evidential belief function (EBF) model in exploring landslide susceptibility zones for the Darjeeling Himalaya, India
    Mondal, Subrata
    Mandal, Sujit
    GEOCARTO INTERNATIONAL, 2020, 35 (08) : 818 - 856
  • [47] GIS-Based and Data-Driven Bivariate Landslide-Susceptibility Mapping in the Three Gorges Area, China
    BAI Shi-Biao1
    WANG Jian1
    L Guo-Nian1
    ZHOU Ping-Gen2
    HOU Sheng-Shan2 and XU Su-Ning2 1College of Geography Science
    Nanjing Normal University
    Nanjing 210097 (China). 2China Institute of Geo-Environment Monitoring
    Beijing 100081 (China)
    Pedosphere , 2009, (01) : 14 - 20
  • [48] A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping
    Zhu, A-Xing
    Miao, Yamin
    Wang, Rongxun
    Zhu, Tongxin
    Deng, Yongcui
    Liu, Junzhi
    Yang, Lin
    Qin, Cheng-Zhi
    Hong, Haoyuan
    CATENA, 2018, 166 : 317 - 327
  • [49] Comparative review of data-driven landslide susceptibility models: case study in the Eastern Andes mountain range of Colombia
    Wilmar Calderón-Guevara
    Mauricio Sánchez-Silva
    Bogdan Nitescu
    Daniel F. Villarraga
    Natural Hazards, 2022, 113 : 1105 - 1132
  • [50] DEVELOPMENT OF A DATA-DRIVEN MODEL TO PREDICT LANDSLIDE SENSITIVE AREAS
    Eslaminezhad, Seyed Ahmad
    Omarzadeh, Davoud
    Eftekhari, Mobin
    Akbari, Mohammad
    GEOGRAPHIA TECHNICA, 2021, 16 (01): : 97 - 112