Physical Flood Vulnerability Mapping Applying Geospatial Techniques in Okazaki City, Aichi Prefecture, Japan
| Autor: | Martiwi Diah Setiawati, Fusanori Miura, Andi Besse Rimba, Abu Bakar Sambah |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Soil map
Geospatial analysis 010504 meteorology & atmospheric sciences Flood myth 0208 environmental biotechnology Flooding (psychology) 02 engineering and technology Land cover computer.software_genre flood vulnerability Analytical Hierarchy Process (AHP) Geography Information System (GIS) Remote Sensing Probability of Detection (POD) Probability of False Detection (POFD) Critical Success Index (CSI) Relative Operating Characteristic (ROC) 01 natural sciences 020801 environmental engineering Weighting Geography Automated Meteorological Data Acquisition System computer Cartography Drainage density 0105 earth and related environmental sciences |
| Zdroj: | Urban Science; Volume 1; Issue 1; Pages: 7 |
| ISSN: | 2413-8851 |
| DOI: | 10.3390/urbansci1010007 |
| Popis: | Flooding has been increasing since 2004 in Japan due to localized heavy rainfall and geographical conditions. Determining areas vulnerable to flooding as one element of flood hazard maps related to disaster management for urban development is necessary. This research integrated Remote Sensing data, the Geography Information System (GIS) method and Analytical Hierarchy Process (AHP) calculation to determine the physical flood-vulnerable area in Okazaki City. We developed this research by applying data from the Geospatial Information Authority of Japan (GSI) to generate the slope map and drainage density; AMEDAS (Automated Meteorological Data Acquisition System) from the Japan Meteorological Agency (JMA) to generate the rainfall data; Soil map from the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) data; and Sentinel-2 imagery to generate the land cover map. We applied the AHP calculation for weighting pairwise the parameters by comparing five iterations of the normalized matrix. We utilized the spatial analysis tool in ArcGIS to run the pairwise comparison to adjudicate the distribution of flooding according to the AHP procedure. The percentage of relative weight was slope (43%), drainage density (20%), rainfall intensity (17%), then both infiltration rate and land cover (10%). The consistency value was reasonable: consistency index (CI—0.007) and consistency ratio (CR—0.6%). We generated high accuracy for flood vulnerability prediction; 0.88 for Probability of Detection (POD), 0.28 for Probability of False Detection (POFD), 0.44 for Critical Success Index (CSI), 1.9 for Bias, and 95 of Area under Curve (AUC). The flood vulnerability was matched to the flood inundation survey of Okazaki City in August 2008 and indicated an excellent Relative Operating Characteristic (ROC). |
| Databáze: | OpenAIRE |
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