TXT-tool 4.886-1.1: Taiwan Typhoon Loss Assessment System (TLAS Taiwan) Web Tool

  • Hsin-Chi Li
  • Yi-Chen Chen
  • Mei-Chun Kuo


The Taiwan Typhoon Loss Assessment System (TLAS Taiwan) can be used to quickly estimate flood or landslide losses and then present the results spatially. For the purpose of disaster reduction, it can be used to conduct cost-benefit analyses of regulation projects. For disaster mitigation, it can have a role in land-use planning. During phases of disaster response, it can assist governments to find potential areas with large losses and then to distribute disaster prevention equipment based on the results. Finally, for disaster recovery, it can help to formulate financial plans for different regions based on the disaster loss amounts.


Typhoon Flood Slope land disaster Loss assessment Subaerial GIS 


  1. Li HC, Kuo YL, Shaw D, Huang TH (2008) The household benefits assessment of the flood reduction plan in a flood-prone area: a case study of Sinwen, Chiayi, Taiwan. Agric Resour Econ 5(2):41–58Google Scholar
  2. Li H-C, Wu T, Wei H-P, Shih H-J, Chao Y-C (2017) Basinwide disaster loss assessments under extreme climate scenarios: a case study of the Kaoping River basin. Nat Hazards 86(3),1039–1058Google Scholar
  3. Li H-C, Yang H-H (2011) Modeling slopeland household loss and application. J Chin Inst Eng 23(4):437–444Google Scholar
  4. Li H-C, Chen Y-C, Guo M-J (2013) The development and application of Taiwan typhoon loss assessment system (TLAS). J Taiwan Agric Eng 59(4):42–55 (In Chinese) Google Scholar
  5. Liu K-F, Li H-C, Hsu Y-C (2009) Debris flow hazard assessment with numerical simulation. Nat Hazards 49(1):137–161CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Policy and Socio-Economics DivisionNational Science and Technology Center for Disaster ReductionNew Taipei CityTaiwan, ROC
  2. 2.Information DivisionNational Science and Technology Center for Disaster ReductionNew TaipeiTaiwan, ROC

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