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All Journal Geoplanning : Journal of Geomatics and Planning Forum Geografi
Lotfata, Aynaz
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Earth & Planetary Sciences

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Utilizing Open Access Spatial Data for Flood Risk Mapping: A Case Study in the Upper Solo Watershed Jumadi, J; Danardono, Danardono; Priyono, Kuswaji Dwi; Roziaty, Efri; Masruroh, Heni; Rohman, Arif; Amin, Choirul; Hadibasyir, Hamim Zaky; Fikriyah, Vidya N.; Nawaz, Muhammad; Sattar, Farha; Lotfata, Aynaz
Geoplanning: Journal of Geomatics and Planning Vol 11, No 2 (2024)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.11.2.189-204

Abstract

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.
Monitoring Biochemical Oxygen Demand (BOD) Changes During a Massive Fish Kill Using Multitemporal Landsat-8 Satellite Images in Maninjau Lake, Indonesia Rohman, Arif; Fauzi, Adam Irwansyah; Ardani, Nesya Hafiza; Nuha, Muhammad Ulin; Perdana, Redho Surya; Nurtyawan, Rian; Lotfata, Aynaz
Forum Geografi Vol 37, No 1 (2023): July 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v37i1.21307

Abstract

Maninjau Lake is one of Indonesia's lakes for hydroelectric power plants, tourism, and fish farming activities. Some activities around the lake cause pollution, leading to massive fish kill. Therefore, it is necessary to monitor water quality regularly. One of the critical water quality parameters is biochemical oxygen demand (BOD). This study aimed to analyze BOD changes using a remote sensing approach during massive fish kills in Maninjau Lake, Indonesia. Multi-temporal Landsat-8 satellite images are processed to estimate the BOD level based on Wang Algorithm. After that, the estimated BOD value is validated using in situ data measurement. The results of the average BOD concentration that occurred in Lake Maninjau was 1.85 mg/L and showed that R2 was 0.8334, and the standard error was 0.076 between the estimated BOD and in situ data. Furthermore, the average concentration of BOD obtained on 23rd August 2017, 13th December 2017, 30th January 2018, 19th March 2018, and 7th July 2018 are 4.96 mg/L, 4.82 mg/L, 5.31 mg/L, 6.94 mg/L, and 6.60 mg/L, respectively. Increased BOD concentration in January 2018 indicates moderate pollution in the waters. BOD concentration increases after the massive fish kill due to the decaying fish across the lake.
Co-Authors Ardani, Nesya Hafiza Arif Rohman Choirul Amin Danardono, Danardono Efri Roziaty Fauzi, Adam Irwansyah Fikriyah, Vidya N. Hamim Zaky Hadibasyir Jumadi, J Kuswaji Dwi Priyono Masruroh, Heni MUHAMMAD ULIN NUHA Nawaz, Muhammad Perdana, Redho Surya Rian Nurtyawan Sattar, Farha