Determination of Flood Susceptibility Index Using Overlay-Scoring Data Method based on Geographic Information System (GIS) in Semarang City, Central Java, Indonesia

Romadhon, Muhammad Rizky; Aziz, Abdul

doi:10.20961/agrihealth.v3i2.60451

Cited by 9 publications

(9 citation statements)

References 55 publications

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“…In Table 5 explains that different soil types also have an impact on the level of flood susceptibility. Soil type affects the drainage process because each soil type has different infiltration [6]. The greater the soil infiltration, the smaller the level of flood vulnerability [7].…”

Section: Data Used and Methodologymentioning

confidence: 99%

GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

Damayanti,

Wikan,

Annurhutami

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Purworejo is one of the regency in Central Java which vulnerable to being affected by flood in rainy season. Wawar watershed is one of the watersheds in Purworejo Regency, the land use in Wawar watershed is dominated by agricultural land so the potential for flooding is quite high in the downstream area. This study aims to determine the distribution of flood-prone locations and classify the level of flood susceptibility that occurs in Wawar Watershed. The method used in this study is data processing on GIS (Geographic Information Systems) using scoring method and weighting of each parameter. These parameters include land use, altitude, rainfall, slope, soil type, and river flow buffers. The resulting hazard map has 3 categories, low, moderate, and high vulnerable level. The results also show that highly vulnerable areas in the southern part of Wawar Watershed that dominated by lowlands area, flat slope, settlement and ricefield land use.

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Section: Data Used and Methodologymentioning

confidence: 99%

GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

Damayanti,

Wikan,

Annurhutami

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The parameters that have been given dignity are then overlaid. The results of the overlay get a total rating which can then be classified into the IPL class [25], [26], [27], [28]. The total value calculation is performed via the subsequent formula: IPL = (R+L+T+H) x B Information: IPL: Land Potential Index Q: Soil Type R: Slope H: Hydrology L: Lithology B: Disaster Vulnerability…”

Section: Data Analysis Methodsmentioning

confidence: 99%

Analysis of Land Potential Index of Village Cash Land and Oro-Oro Land in Boyolali Regency

Altair,

Saputra,

Irfan

2024

E3S Web Conf.

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Boyolali Regency comprises a variety of land uses, which encompass village treasury land and oro-oro land. The importance of examining this land’s potential lies in its optimization and the reduction of disaster-related risks. This study’s objective is to evaluate the land potential index, aiding in effective land management decisions. The primary aim is to assess the land potential index for village treasury land and oro-oro land in Boyolali Regency. This research employs spatial analysis within a geographic information system and involves parameter rating and overlaying. Parameters such as topography, lithology, soil type, hydrology, and disaster vulnerability are considered to determine the land potential. The results classify Boyolali Regency’s land potential index into five categories: very low, low, medium, high, and very high. Each category exhibits variations in potential and vulnerability for various purposes, including settlements, gardens, moorlands, forests, and rice fields. Field surveys generate maps showing the distribution of village treasury and oro-oro land with varying potential levels. The assessment takes multiple factors into account, such as topography, land area, and proximity to protected or disaster-prone areas when identifying suitable land for relocation. This research provides valuable insights for land planning and management in Boyolali Regency by integrating considerations of land potential and vulnerability.

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“…[21] Each environmental parameter has its own influence on the occurrence of floods. The magnitude of the influence of environmental parameters is represented by the weight value given to each parameter [22]. Table 7 contains information that the greater the weight value on a parameter, the higher the effect on flooding.…”

Section: Flood Vulnerability Assessmentmentioning

confidence: 99%

Flood vulnerability assessment trough overlay-scoring data method based on Geographical Information System (GIS) in Giriwoyo, Wonogiri, Indonesia

Wiraatmaja,

Kusumaningrum,

Herdiansyah

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The Sub-District of Giriwoyo, located on the southern edge of Wonogiri District, is classified as an agricultural land. This subdistrict is located in the Keduang sub-watershed. This geographical condition makes this subdistrict extremely vulnerable to flooding. This research seeks to determine the distribution of flood-prone areas and categorize the level of flood vulnerability in the Wonogiri Regency, with Giriwoyo as a research site. Quantitative descriptive research employs a scoring procedure based on environmental conditions-related scoring parameters. These variables include slope, soil type, rainfall, altitude, land use, and buffers for river flow. The measured parameters are then layered in a geographic information system (GIS) application to generate a flood vulnerability map. The data analysis procedure employed a descriptive approach. The results indicate that the dispersed, areas of Giriwoyo are classified into 4 vulnerability catogeries such as not vulnerable, vulnerable enough, vulnerable and very vulnerable. Areas with vulnerable categories are scattered throughout the giriwoyo area which is dominated by rice fields and settlements with a flat slope. The very vulnerable area dominates the western part of the giriwoyo which has a lower elevation and flat slope. The parts of giriwoyo that are not prone to flooding are in Selomarto, Tukulrejo, and Girikikis.

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Determination of Flood Susceptibility Index Using Overlay-Scoring Data Method based on Geographic Information System (GIS) in Semarang City, Central Java, Indonesia

Cited by 9 publications

References 55 publications

GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

GIS-Based flood susceptibility mapping in Wawar Watershed, Purworejo Regency

Analysis of Land Potential Index of Village Cash Land and Oro-Oro Land in Boyolali Regency

Flood vulnerability assessment trough overlay-scoring data method based on Geographical Information System (GIS) in Giriwoyo, Wonogiri, Indonesia

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