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<p>Heavy rainfall usually causes floods, even when streamflow is insufficient to carry the excess water. In the Ghatal block, Paschim Medinipur district is more flood-prone due to heavy rainfall and high-water release from the reservoirs, water from the Shilabati and Dwarakeswar rivers breaks. This study uses the Analytical Hierarchy Process (AHP) and the Fuzzy Analytical Hierarchy Process (FAHP) in combination with GIS techniques to analyses flood susceptibility and Sentinel-1 to measure flood inundation from 2017 to 2021 using the Google Earth Engine (GEE) platform for the Ghatal block. The flood&#xa0;susceptibility analysis&#xa0;(AHP)&#xa0;displays four risk zones, such as low-risk (18.95&#xa0;km<sup>2</sup>), moderate-risk (153.61&#xa0;km<sup>2</sup>), high-risk (6.28&#xa0;km<sup>2</sup>), and very high-risk (0.96 km<sup>2</sup>). Very high-risk (0.09&#xa0;km<sup>2</sup>), high-risk (46.63&#xa0;km<sup>2</sup>), moderate-risk (162.85&#xa0;km<sup>2</sup>), low-risk (25.08&#xa0;km<sup>2</sup>), and least-risk (0.91&#xa0;km<sup>2</sup>) are the five groups used by the FAHP analysis to cover the entire research region. On July 10 and July 15, 2022, flooding across an area of roughly 103.65&#xa0;km<sup>2</sup> was observed. Overall, the flood inundation analysis from 2017 to 2021 shows that the Paschim Medinipur district’s northwest and southwest portions of the Ghatal block are more vulnerable to flooding than the eastern areas. This study shows how flood inundation and susceptibility studies enhance response strategies for sustainable, healthy livelihoods and assist local people and authorities in proactively preparing for storm impacts.</p>

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Integrated flood inundation and susceptibility analysis using advanced remote sensing techniques

  • 期刊论文

  • 发表日期：

    2026年7月4日

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  • Riya Ojha,
  • Jatisankar Bandyopadhyay,
  • Minhaz Farid Ahmed,
  • Khadeijah Yahya Faqeih,
  • Somayah Moshrif Alamri,
  • Eman Rafi Alamery,
  • Asma Abdulaziz Abdullah AbalKhail,
  • Afaf Rafi AlAmri,
  • Chaitanya Baliram Pande

摘要

Heavy rainfall usually causes floods, even when streamflow is insufficient to carry the excess water. In the Ghatal block, Paschim Medinipur district is more flood-prone due to heavy rainfall and high-water release from the reservoirs, water from the Shilabati and Dwarakeswar rivers breaks. This study uses the Analytical Hierarchy Process (AHP) and the Fuzzy Analytical Hierarchy Process (FAHP) in combination with GIS techniques to analyses flood susceptibility and Sentinel-1 to measure flood inundation from 2017 to 2021 using the Google Earth Engine (GEE) platform for the Ghatal block. The flood susceptibility analysis (AHP) displays four risk zones, such as low-risk (18.95 km2), moderate-risk (153.61 km2), high-risk (6.28 km2), and very high-risk (0.96 km2). Very high-risk (0.09 km2), high-risk (46.63 km2), moderate-risk (162.85 km2), low-risk (25.08 km2), and least-risk (0.91 km2) are the five groups used by the FAHP analysis to cover the entire research region. On July 10 and July 15, 2022, flooding across an area of roughly 103.65 km2 was observed. Overall, the flood inundation analysis from 2017 to 2021 shows that the Paschim Medinipur district’s northwest and southwest portions of the Ghatal block are more vulnerable to flooding than the eastern areas. This study shows how flood inundation and susceptibility studies enhance response strategies for sustainable, healthy livelihoods and assist local people and authorities in proactively preparing for storm impacts.