Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed
Indonesia is experiencing a rise in natural disasters due to its geographical position within a tropical region, with the Upper Solo River watershed exhibiting a heightened risk of flooding. This region has already suffered numerous floods due to excessive precipitation and insufficient drainage. Su...
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| Format: | Article |
| Language: | English |
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Diponegoro University
2024-12-01
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| Series: | Geoplanning: Journal of Geomatics and Planning |
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| Online Access: | https://ejournal.undip.ac.id/index.php/geoplanning/article/view/66452 |
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| author | J Jumadi Danardono Danardono Kuswaji Dwi Priyono Efri Roziaty Heni Masruroh Arif Rohman Choirul Amin Hamim Zaky Hadibasyir Vidya N. Fikriyah Muhammad Nawaz Farha Sattar Aynaz Lotfata |
| author_facet | J Jumadi Danardono Danardono Kuswaji Dwi Priyono Efri Roziaty Heni Masruroh Arif Rohman Choirul Amin Hamim Zaky Hadibasyir Vidya N. Fikriyah Muhammad Nawaz Farha Sattar Aynaz Lotfata |
| author_sort | J Jumadi |
| collection | DOAJ |
| description | Indonesia is experiencing a rise in natural disasters due to its geographical position within a tropical region, with the Upper Solo River watershed exhibiting a heightened risk of flooding. This region has already suffered numerous floods due to excessive precipitation and insufficient drainage. Susceptibility, hazard, and risk studies have been conducted to investigate this phenomenon but have been limited to specific regions within the catchment area. This study aims to construct a GIS-based flood risk model using Open-Access Spatial Data (OASD) based on diverse physical characteristics, urbanization levels, and population. We used several OASD, including SRTM, Sentinel 2 MSI, GPM v6, NASA-USDA Enhanced SMAP Global Soil Moisture Data, GHS-SMOD R2023A - Global Human Settlement Layers, and GHSL: Global Population Surfaces 1975-2030 (P2023A). The model integrates the risk parameters to identify flood risk using a weighted overlay in ArcGIS. The results demonstrate spatial heterogeneity in flood risk throughout the watershed. The result also reveals that Surakarta City, with a high proportion of its area in the 'High' (57.3%) and 'Very High' (29.54%) risk categories, is at the highest risk of flooding within the watershed. The study enhances understanding of this topic by comprehensively evaluating flood hazards, vulnerabilities, and risks. It highlights the significance of utilizing low-cost OASD to improve flood preparedness and response strategies. |
| format | Article |
| id | doaj-art-d28713398b5b423bbb65fdf07a2f86cf |
| institution | DOAJ |
| issn | 2355-6544 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Diponegoro University |
| record_format | Article |
| series | Geoplanning: Journal of Geomatics and Planning |
| spelling | doaj-art-d28713398b5b423bbb65fdf07a2f86cf2025-08-20T02:48:19ZengDiponegoro UniversityGeoplanning: Journal of Geomatics and Planning2355-65442024-12-0111218920410.14710/geoplanning.11.2.189-20424838Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo WatershedJ Jumadi0https://orcid.org/0000-0002-1002-3084Danardono Danardono1https://orcid.org/0000-0001-5584-732XKuswaji Dwi Priyono2https://orcid.org/0000-0002-8473-257XEfri Roziaty3https://orcid.org/0000-0002-6935-171XHeni Masruroh4https://orcid.org/0000-0001-6752-4536Arif Rohman5https://orcid.org/0000-0003-1637-5598Choirul Amin6https://orcid.org/0000-0002-4174-1740Hamim Zaky Hadibasyir7https://orcid.org/0000-0003-4143-2523Vidya N. Fikriyah8https://orcid.org/0000-0003-2869-3657Muhammad Nawaz9https://orcid.org/0000-0002-1504-4706Farha Sattar10https://orcid.org/0000-0001-7070-8715Aynaz Lotfata11https://orcid.org/0000-0002-7511-1755Faculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta, IndonesiaFaculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta, IndonesiaFaculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta, IndonesiaFaculty of Education, Universitas Muhammadiyah Surakarta, Surakarta, IndonesiaMalang State University, Malang, IndonesiaInstitute Technology Sumatera, Lampung, IndonesiaFaculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta, IndonesiaFaculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta, IndonesiaFaculty of Geography, Universitas Muhammadiyah Surakarta, Surakarta, IndonesiaUniversity of Twente, Enschede, The Netherlands, NetherlandsNational University of Singapore, SingaporeCharles Darwin University, Darwin, AustraliaIndonesia is experiencing a rise in natural disasters due to its geographical position within a tropical region, with the Upper Solo River watershed exhibiting a heightened risk of flooding. This region has already suffered numerous floods due to excessive precipitation and insufficient drainage. Susceptibility, hazard, and risk studies have been conducted to investigate this phenomenon but have been limited to specific regions within the catchment area. This study aims to construct a GIS-based flood risk model using Open-Access Spatial Data (OASD) based on diverse physical characteristics, urbanization levels, and population. We used several OASD, including SRTM, Sentinel 2 MSI, GPM v6, NASA-USDA Enhanced SMAP Global Soil Moisture Data, GHS-SMOD R2023A - Global Human Settlement Layers, and GHSL: Global Population Surfaces 1975-2030 (P2023A). The model integrates the risk parameters to identify flood risk using a weighted overlay in ArcGIS. The results demonstrate spatial heterogeneity in flood risk throughout the watershed. The result also reveals that Surakarta City, with a high proportion of its area in the 'High' (57.3%) and 'Very High' (29.54%) risk categories, is at the highest risk of flooding within the watershed. The study enhances understanding of this topic by comprehensively evaluating flood hazards, vulnerabilities, and risks. It highlights the significance of utilizing low-cost OASD to improve flood preparedness and response strategies.https://ejournal.undip.ac.id/index.php/geoplanning/article/view/66452natural hazard, flood, risk, gis, solo river watershed |
| spellingShingle | J Jumadi Danardono Danardono Kuswaji Dwi Priyono Efri Roziaty Heni Masruroh Arif Rohman Choirul Amin Hamim Zaky Hadibasyir Vidya N. Fikriyah Muhammad Nawaz Farha Sattar Aynaz Lotfata Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed Geoplanning: Journal of Geomatics and Planning natural hazard, flood, risk, gis, solo river watershed |
| title | Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed |
| title_full | Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed |
| title_fullStr | Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed |
| title_full_unstemmed | Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed |
| title_short | Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed |
| title_sort | utilizing open access spatial data for flood risk mapping a case study in the upper solo watershed |
| topic | natural hazard, flood, risk, gis, solo river watershed |
| url | https://ejournal.undip.ac.id/index.php/geoplanning/article/view/66452 |
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