Time Series of Land subsidence rate on Coastal Demak Using GNSS CORS UDIP and DINSAR

Yuwono, Bambang Darmo; Subiyanto, Sawitri; Pratomo, A. S.; Najib, Najib

doi:10.1051/e3sconf/20199404004

Cited by 7 publications

(11 citation statements)

References 9 publications

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“…The subsidence rates for the study area (shown in Figure 1) which form the basis of our economic impact analysis are based on satellite data of a very limited time series-at the time of writing, no more elaborate data was available. The resulting estimation of subsidence rates is highly uncertain (as also discussed by Yuwono et al, 2019). Furthermore, due to limited available exposure data and lack of dose-effect relationships, this study did not analyze the full range of economic effects related to subsidence.…”

Section: Limitations and Recommendations For Further Studymentioning

confidence: 99%

“…Subsidence develops mostly in the industrial area in Semarang, correlated to industrial groundwater abstraction. According to Mahya et al (2021), based on Ellipsis data for Semarang Central Bureau of Statistics (2020c) and DSInSAR data from Yuwono et al (2019) for Demak, the land subsidence rates in the area vary between 0-2 to >10 cm/year (Figure 1). Ellipsis subsidence rate was derived from Sentinel-1A bi-monthly observation data that was taken from April 2016 to October 2019 and processed with inSAR (Interferometric synthetic aperture radar) technique (Ellipsis, 2020).…”

Section: Study Sitementioning

confidence: 99%

“…Ellipsis subsidence rate was derived from Sentinel-1A bi-monthly observation data that was taken from April 2016 to October 2019 and processed with inSAR (Interferometric synthetic aperture radar) technique (Ellipsis, 2020). Demak subsidence data was derived using DinSAR (Interferometric synthetic aperture radar) techniques and GNSS (Global Navigation Satellite System) technology to predict the rate of land subsidence in the coastal area of Demak (Yuwono et al, 2019).…”

Section: Study Sitementioning

confidence: 99%

See 2 more Smart Citations

Cost-benefit analysis of mitigating subsidence damage in Semarang and Demak, Indonesia

Pratiwi¹,

Kok²,

Kaiser³

et al. 2023

Front. Environ. Econ.

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Since the early 1990s, the coastal Semarang City in Indonesia has been undergoing rapid industrialization and population expansion. To meet growing water demand, groundwater is abstracted with an ever-increasing number of abstraction wells. This has led to lower groundwater tables in the largely unconsolidated substrate and this, in turn, causes land subsidence in the area. This has led to significant direct and indirect economic damage. In the context of limited public resources, this study aims to analyze the economic rationale of alternative (public) investment strategies to reduce subsidence impact in the Semarang-Demak region. With Cost-Benefit Analysis (CBA), three alternative strategies to replace groundwater abstraction wells are analyzed: (1) Installment of a piped clean water supply system with 1,000 L/s capacity, (2) a new 2 km2 coastal freshwater reservoir in West Semarang, (3) installment of a piped clean water supply system with 2,000 L/s capacity. All strategies have a positive (>1) benefit-cost ratio, which indicates that there is an economic rationale for investment to mitigate subsidence in Semarang and Demak. Under a low water demand scenario, the best strategy is strategy 1; under a high water demand scenario, the best strategy is strategy 3. As strategy 3 gives the highest economic benefit in the worst-case scenario, this is the most robust strategy.

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Section: Limitations and Recommendations For Further Studymentioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

See 1 more Smart Citation

Cost-benefit analysis of mitigating subsidence damage in Semarang and Demak, Indonesia

Pratiwi¹,

Kok²,

Kaiser³

et al. 2023

Front. Environ. Econ.

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“…Situated at 6°58' S dan 110°25' E on the northern coast of Java, Semarang is the capital of Central Java Province. It has a coverage area of about 37,370 ha, a coastline length of 13.6 km, and a population of 1.81 million people, with a growth rate of 1.57% per year, (Yuwono et al, 2019). Semarang is highly vulnerable to coastal flooding due to its low-lying coastal areas and rising sea levels.…”

Section: Semarang City Climate Disaster Riskmentioning

confidence: 99%

Towards a Resilient City: Analyzing Semarang Preparedness in Facing Disaster Related to Climate Change, Indonesia

Findayani,

Hayati,

Amrullah

et al. 2024

Jambura Geo Educ. J

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Semarang, a populous Indonesian coastal city, faces rising sea levels, tidal floods, and potential increases in rainfall intensity due to climate change. Measuring urban resilience is crucial to understand current and future disaster risks, informing the development of effective climate and disaster resilience policies. This study analyzes Semarang City's preparedness for climate-related disasters using a qualitative approach. Focus group discussions (FGDs) and surveys involving stakeholders and representatives from each sub-district were conducted. The Climate Disaster Resilience Index (CDRI) framework was employed to assess preparedness across natural, social, economic, institutional, and physical dimensions. The findings reveal that preparedness in Semarang is a multi-faceted and ongoing effort. While initial analysis suggests a moderate level of preparedness, areas for improvement include strengthening the climate action plan, expanding early warning system reach, and enhancing community flood coping capacity. These actions are essential to safeguard society and the environment, bolstering the city's resilience and adaptability to climate change impacts.

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“…The crucial factor for the decline of mangrove forests in this area is the occurrence of tidal floods and land subsidence which are difficult to control. According to Muskananfola et al (2020), the Sayung area is a coastal area that has been badly damaged due to changes in the coastline due to massive erosion and tidal flooding, from 2011-2018 there was a net shoreline movement of −290 m. The GPS survey showed that the vertical displacement in Demak ranging from 0.8 to 17.91 cm/year in 2018 (Yuwono et al, 2019). However, on the one hand, many parties have planted mangroves to restore the function of mangrove forests in coastal areas by NGOs, students, government, and local residents.…”

Section: Introductionmentioning

confidence: 99%

The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak

Aulia,

Pribadi,

Helmi

2023

JIPK

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Mangrove forests in Timbulsloko and Bedono have very dynamic conditions, due to tidal flooding and land subsidence that occur in these areas. Meanwhile, mangrove forests in the Timbulsloko and Bedono Village play an important role in preventing abrasion which often occurs in these areas. The importance of the mangroves function in this area makes it crucial to monitor their condition. Monitoring the condition of mangroves can be done by looking at their density through the vegetation index. Therefore, this study aimed to determine the best vegetation index to be used in the Timbulsloko and Bedono villages to monitor mangroves in 2016-2018, 2020, and 2022. The method in this research consisted of two stages, namely sentinel 2 image processing and the field survey. Image processing was used to determine the condition of mangroves based on several vegetation indices. Meanwhile, data collection in the field was utilized to validate several vegetation indices used in this study and conducted with the hemispherical photography method. Linear regression analysis was used to determine the most suitable vegetation index to be applied in the study area. The study found that NDVI vegetation index had the highest accuracy value, followed by SAVI, EVI, and MVI. The use of NDVI to see the changes in mangrove conditions showed an increase in the total area in each category. So, it can be concluded that the area and density of mangrove forests in the Bedono and Timbulsloko villages increased every year. Highlight Research Mangroves in each region have different canopy density values. The use of the mangrove vegetation index will produce different accuracy values in different areas. LAI has a very strong relationship with the NDVI. The addition of area in the sparse mangrove category can be an indication of mangrove planting at the most recent time. In general, the research outcome will be valuable recommendation for mangrove rehabilitation in current target area.

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Time Series of Land subsidence rate on Coastal Demak Using GNSS CORS UDIP and DINSAR

Cited by 7 publications

References 9 publications

Cost-benefit analysis of mitigating subsidence damage in Semarang and Demak, Indonesia

Cost-benefit analysis of mitigating subsidence damage in Semarang and Demak, Indonesia

Towards a Resilient City: Analyzing Semarang Preparedness in Facing Disaster Related to Climate Change, Indonesia

The Use of Vegetation Indices on Temporal Mangrove Condition: A Case Study on Timbulsloko and Bedono, Demak

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