Geographical Research, Volume. 39, Issue 8, 1892(2020)

Flood risk assessment in Bangladesh, India and Myanmar based on the AHP weight method and entropy weight method

Yuanyuan LIU1,2, Shaoqiang WANG1,2,3、*, Xiaobo WANG1,2, Dong JIANG1,2, H Ravindranath N4, Rahman Atiq5, Mar Htwe Nyo6, and Vijitpan Tartirose7
Author Affiliations
  • 1Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 2College of Resources and Environment at University of Chinese Academy of Sciences, Beijing 100049, China
  • 3School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
  • 4Centre for Sustainable Technologies, India Institute of Science, Bangalore 560012, India
  • 5Bangladesh Centre for Advanced Studies, Dhaka 1212, Bangladesh
  • 6Yezin Agricultural University, Naypyitaw 15000, Myanmar
  • 7United Nations Environment Programme - International Ecosystem Management Partnership, Beijing 100101, China
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    The Bangladesh, India and Myanmar (BIM) region has subtropical and tropical monsoon climates. Floods frequently occur around here. Assessing the flood risk in BIM region is important for the safety construction of the BCIM-EC. Based on datasets of precipitation from 1980 to 2016, river network, elevation, land use and etc., we selected ten indexes, namely, rainy season rainfall, rainstorm days, elevation, slope, drainage density, vegetation coverage, soil erodibility, population density, GDP, and land use. A comparative study of flood risk in BIM region is presented using the analytic hierarchy process (AHP) and the AHP_entropy methods. Based on the assessed results, about 1.05% and 28.76% of the BIM region have high risk and moderate to high risk. High risk zones in the BIM region were primarily concentrated on the Ganges Plain in northern India, Assam State in northeastern India, most of Bangladesh and southern Myanmar. Bangladesh is the country with the highest risk among three countries. The results show that high risk areas and moderate to high risk areas take up 10.61% and 65.87% of the total area of Bangladesh, respectively. Comparisons between results from AHP and AHP_entropy show that the latter yields a wider range of high flooding risk than the former. The study could provide an effective method for other neighboring countries of China in estimating the flood hazard areas, which can promote the construction of the BCIM-EC.

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    Yuanyuan LIU, Shaoqiang WANG, Xiaobo WANG, Dong JIANG, H Ravindranath N, Rahman Atiq, Mar Htwe Nyo, Vijitpan Tartirose. Flood risk assessment in Bangladesh, India and Myanmar based on the AHP weight method and entropy weight method[J]. Geographical Research, 2020, 39(8): 1892

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    Paper Information

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    Received: Aug. 8, 2019

    Accepted: --

    Published Online: Apr. 23, 2021

    The Author Email: WANG Shaoqiang (sqwang@igsnrr.ac.cn)

    DOI:10.11821/dlyj020190679

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