Effect rainfall season on coastal flood in Semarang City, Central Java, Indonesia

Setiyono, Heryoso; Bambang, Azis Nur; Helmi, Muhammad; Yusuf, Muhammad

doi:10.53730/ijhs.v6ns1.6618

Cited by 6 publications

(3 citation statements)

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“…As an example, during the normal spring tide, the water surface elevation around Semarang is around 180 cm on the high tide [13] according to local vertical datum. However, on May 23 rd , 2022 the sea water elevation reached 210 cm as recorded by the same tidal gauge [14]. This event had affected many areas on the north coast of Java.…”

Section: Introductionmentioning

confidence: 77%

Extreme Coastal Flood Inundation Mapping Based on Sentinel 1 Using Google Earth Engine

Wijayanti,

Nurfaida,

Fadhilah Sabilal Haque

et al. 2023

E3S Web Conf.

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Coastal flooding frequently occurs along the Northern Coast of Java due to the continuous land subsidence and sea level rise. On May 23rd, 2022, an extreme tidal flood happened and impacted a wide area around the central part of the Northern Coast of Java, with reports indicating that the inundated area was larger than that of typical flood events. Although several researchers have conducted local inundation mapping in various districts, comprehensive flood mapping of this event over a larger area has not yet been undertaken. Such study would benefit for hydraulic flood models. Therefore, this study aimed to map the coastal flood extent around the central part of the Northern Coast of Java using Sentinel-1 imagery data processed through the Google Earth Engine (GEE). The delineated inundation at several points was then compared with field observations from a previous study. The analysis suggests that Sentinel-1 is generally capable of estimating flood extent, although additional measures are necessary for mapping in densely populated urban areas. The findings indicate that the area inundated by the May 2022 flood was at least 5,562 hectares larger compared to the flooding in April 2022.

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Section: Introductionmentioning

confidence: 77%

Extreme Coastal Flood Inundation Mapping Based on Sentinel 1 Using Google Earth Engine

Wijayanti,

Nurfaida,

Fadhilah Sabilal Haque

et al. 2023

E3S Web Conf.

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“…Every year, during the rainy season, the coastal lowland area of Semarang City is consistently affected by flooding [21]. The frequency and impact of tidal flood in the vicinity of Semarang are progressively worsening [17].…”

Section: Flood Inundation Impactmentioning

confidence: 99%

The zoning of flood disasters by combining tidal flood and urban flood in Semarang City, Indonesia

Herbanu,

Nurmaya,

Nisaa

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Semarang City, situated along the northern coastal region of Java Island, Indonesia, grapples annually with the dual challenges of tidal flooding and urban inundation. Establishing a comprehensive flood disaster zoning for both tidal floods and urban inundation to identify priority areas for effective flood mitigation and reducing disaster risk. This study aims to assess the potential inundation of tidal floods, urban floods, and their combined impact on Semarang City, using an integrated approach that combines Geographic Information System (GIS) technology with the Analytic Hierarchy Process (AHP). By leveraging data from Digital Elevation Model Nasional (DEMNAS), Google Earth, Rupa Bumi Indonesia (RBI) maps, and the Open Street Map (OSM) database, we obtained elevation, landcover, distance to the river, buildings, and administration data, which were used as criteria in the analysis. The research findings unveil three distinct flood inundation scenarios within Semarang City: tidal floods, urban floods, and a combination of both. Each scenario is categorized into low, medium, and high levels of inundation, providing a granular assessment of flood risk across the city. Importantly, the study extends beyond spatial analysis to evaluate the impact of inundation on affected buildings. The results indicate that the area inundated by the combination of tidal and urban floods is as follows: 86.87% high inundation, 13.12% moderate inundation, and 0.01% low inundation.

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“…This method is used if rainfall data is available for at least ten years of time series data (Figure 3). According to BMKG, the average rainfall is divided into three categories, namely low (0 -100 mm), medium (100 -300 mm), high (300 -500 mm), and very high (> 500 mm) [28,29]. In Figure 3, it can be seen that for nine rain gauge stations (18.75%) on Sumatera Island, the average maximum daily rainfall is in the usual low rainfall category (lowest average maximum daily rainfall = 67.2 mm), while 81.25% (39 rain gauge stations) falls into the normal medium rainfall category with the highest average maximum daily rainfall at = 228.32 mm.…”

Section: Calculation Of Frequency Analysismentioning

confidence: 99%

Hydrometeorological Disaster Mitigation Through Rainfall Intensity Mapping Using IDF in Sumatera Island, Indonesia

Susilowati,

Kusumastuti

2024

IJDNE

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Climate change due to weather anomalies causes rainfall and frequency to be more intense than normal conditions, including on the island of Sumatera, Indonesia. This has the potential to cause hydrometeorological disasters, such as floods and landslides. The intensity duration frequency (IDF) is an approach of rainfall amounts in water resources engineering for planning, designing, and operating water resources projects. Therefore, this article aims to conduct a rainfall intensity mapping study for specific return periods using the intensity duration frequency (IDF) approach, a case study of Sumatera Island, Indonesia, with the period of historical rainfall between 2013 and 2022. The purpose of the study is to provide essential reference information to mitigate hydrometeorological disasters to avoid the accumulation of rainwater in disaster-prone areas. The method used is a quantitative study using historical rainfall data from 48 rainfall recording stations in the Sumatera Island area. The results of this study show that the average maximum daily rainfall at nine stations is in the normal category, 39 rain gauge stations are in the standard medium rainfall category, and the rest are in the high category. Maps for each of these conditions are attached as the main results of this study. The practical application of this research has generated disaster vulnerability maps using IDF approaches for Sumatera Island (Indonesia) based on rainfall, emphasizing decreasing and aware activity in these areas.

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Effect rainfall season on coastal flood in Semarang City, Central Java, Indonesia

Cited by 6 publications

References 0 publications

Extreme Coastal Flood Inundation Mapping Based on Sentinel 1 Using Google Earth Engine

Extreme Coastal Flood Inundation Mapping Based on Sentinel 1 Using Google Earth Engine

The zoning of flood disasters by combining tidal flood and urban flood in Semarang City, Indonesia

Hydrometeorological Disaster Mitigation Through Rainfall Intensity Mapping Using IDF in Sumatera Island, Indonesia

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