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<p>Floods have been identified as one of the environmental challenges faced by several neighborhoods in Kaduna. This research aimed to map zones vulnerable to floods in Kaduna with the aid of GIS and the analytical hierarchy process (AHP). The data used in this research included ASTER Global-Digital Elevation Model and Landsat 8 Imagery (OLI/TIRS) data. The coordinates of historical flood events were obtained via a handheld GPS device. These images were used to generate nine (9) flood-causative factors, which were computed and analysed via the AHP. These factors include elevation, slope, drainage density, the topographic wetness index (TWI), the stream power index (SPI), distance from streams, distance from roads, land use/land cover, and the normalized difference vegetation index. The study revealed that 25.77% of Kaduna falls within the high flood vulnerability zones, whereas 60.31% and 13.36% fall within the moderate and low flood vulnerability zones, respectively. The flood validation revealed that all the historical floods captured fell within the high flood vulnerability zone, with an ROC score of 0.94. This study successfully mapped areas vulnerable to floods, which will be critical to stakeholders in policy and planning for mitigating flood disasters within Kaduna.</p>

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Flood susceptibility assessment via GIS and the analytical hierarchy process in Kaduna, Nigeria

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年8月6日

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  • Muhammad Lawal Abubakar,
  • Auwal Farouk Abdussalam,
  • Habiba Ibrahim Mohammed,
  • Muhammad Sambo Ahmed,
  • Abubakar Sadiq Musa

摘要

Floods have been identified as one of the environmental challenges faced by several neighborhoods in Kaduna. This research aimed to map zones vulnerable to floods in Kaduna with the aid of GIS and the analytical hierarchy process (AHP). The data used in this research included ASTER Global-Digital Elevation Model and Landsat 8 Imagery (OLI/TIRS) data. The coordinates of historical flood events were obtained via a handheld GPS device. These images were used to generate nine (9) flood-causative factors, which were computed and analysed via the AHP. These factors include elevation, slope, drainage density, the topographic wetness index (TWI), the stream power index (SPI), distance from streams, distance from roads, land use/land cover, and the normalized difference vegetation index. The study revealed that 25.77% of Kaduna falls within the high flood vulnerability zones, whereas 60.31% and 13.36% fall within the moderate and low flood vulnerability zones, respectively. The flood validation revealed that all the historical floods captured fell within the high flood vulnerability zone, with an ROC score of 0.94. This study successfully mapped areas vulnerable to floods, which will be critical to stakeholders in policy and planning for mitigating flood disasters within Kaduna.