Relationship between wind incidents and wind-induced damage to construction in West Java, Indonesia

Sarli, Prasanti Widyasih; Abdillah, Muhammad Rais; Sakti, AD

doi:10.1088/1755-1315/592/1/012001

Cited by 5 publications

(6 citation statements)

References 11 publications

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“…To improve the application of SSI in Indonesia, the construction of SSI should consider the relationship between wind speed and infrastructure damage in Indonesia. A study has been performed to find the relationship between wind speed and infrastructure damage in West Java Province [9]. More studies on the relationship between wind speed and infrastructure damage in Indonesia can be beneficial for SSI construction.…”

Section: Discussionmentioning

confidence: 99%

An Overview of Extreme Storm Trends in Java Island using Storm Severity Index (SSI)

Susandi

Pratama

Wijaya

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Extreme winds can lead to extreme storms, which are among the most frequent forms of extreme weather in Indonesia. With climate change predicted to increase the adverse impact of extreme weather, it is crucial to keep track of and gauge the severity of storm events. Storm Severity Index (SSI) can be used to measure the severity of storms, which is defined by their intensity, duration, and extent. SSI has been used in continental areas. However, the application of SSI in the maritime continent is still limited. This study explores the application of SSI to measure extreme storms in Indonesia based on wind gust speed. This study uses wind gust data in 1959-2021 from ERA5 reanalysis data and calculates the SSI based on the 98th percentile and the 50-year return value of the wind data. This study also explores the meteorological events that coincide with high SSI values. This study found the SSI able to capture high wind gust events in Java Island. This study finds high SSI value coincides with tropical cyclone events in the Indian Ocean. Topography affects the area on Java Island that has a high SSI value. Further study should evaluate the impact of the coastal and non-coastal areas to reduce the significant effect of sea-land breeze or mountain-valley breeze. In addition, future research also needs to address the significance level of the duration of events in a severe storm to enhance the information on severity.

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Section: Discussionmentioning

confidence: 99%

An Overview of Extreme Storm Trends in Java Island using Storm Severity Index (SSI)

Susandi

Pratama

Wijaya

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…4.2. Although Indonesia experiences a high number of windrelated disasters every year (Sarli et al 2020;BNPB 2021), the country currently does not have a clear wind risk map. The officials have developed an ''extreme weather'' risk map based on several hazard and vulnerability parameters as a proxy to identify areas prone to strong wind incidents (BNPB 2016).…”

Section: Discussionmentioning

confidence: 99%

“…Incorporating historical wind incident reports into the risk calculation is expected to improve the quality of the risk map. Furthermore, the vulnerability parameter should also consider other exposures, such as building type and building quality (Sarli et al 2020), as well as capacity parameters related to regional economic capacity and public awareness. Moreover the new wind map can be integrated into assessments of multi-hazard analysis for spatial planning of strategic and vital infrastructures (Sakti, Rahadianto, et al 2022) and mitigation related to hydrometeorological disasters in Indonesia (Harjupa et al 2021;Sakti, Fauzi, et al 2022).…”

Section: Discussionmentioning

confidence: 99%

Extreme Wind Variability and Wind Map Development in Western Java, Indonesia

Abdillah

Sarli

Firmansyah

et al. 2022

Int J Disaster Risk Sci

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Wind-related disasters are one of the most frequent disasters in Indonesia. It can cause severe damages of residential construction, especially in the world’s most populated island of Java. Understanding the characteristics of extreme winds is crucial for mitigating the disasters and for defining structural design standards. This study investigated the spatiotemporal variations of extreme winds and pioneered a design wind map in Indonesia by focusing on western Java. Based on gust data observed in recent years from 24 stations, the extreme winds exhibit a clear annual cycle where northwestern and southeastern sides of western Java show out-of-phase relationship due to reversal monsoons. Meanwhile, extreme wind occurrences are mostly affected by small-scale weather systems, regardless of seasons and locations. To build the wind map, we used bias-corrected gust from ERA5 and applied the Gumbel method to predict extreme winds with different return periods. The wind map highlights some drawbacks of the current national design standards, which use single wind speed values regardless of location and return period. Beside a fundamental improvement for wind design, this study will benefit disaster risk mapping and other applications that require extreme wind speed distribution.

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“…In addition, data integration with other natural disasters is also a potential element to be developed. For instance, buildings in West Java Province are also susceptible to strong wind incidents [68]. Other disasters such as land subsidence [69,70], volcanic eruption [71,72], tsunami [73,74], and wildfire [75,76] should be considered in Indonesia.…”

Section: Limitations and Future Possible Directionmentioning

confidence: 99%

School Location Analysis by Integrating the Accessibility, Natural and Biological Hazards to Support Equal Access to Education

Sakti

Rahadianto

Pradhan

et al. 2021

IJGI

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This study proposes a new model for land suitability for educational facilities based on spatial product development to determine the optimal locations for achieving education targets in West Java, Indonesia. Single-aspect approaches, such as accessibility and spatial hazard analyses, have not been widely applied in suitability assessments on the location of educational facilities. Model development was performed based on analyses of the economic value of the land and on the integration of various parameters across three main aspects: accessibility, comfort, and a multi-natural/biohazard (disaster) risk index. Based on the maps of disaster hazards, higher flood-prone areas are found to be in gentle slopes and located in large cities. Higher risks of landslides are spread throughout the study area, while higher levels of earthquake risk are predominantly in the south, close to the active faults and megathrusts present. Presently, many schools are located in very high vulnerability zones (2057 elementary, 572 junior high, 157 senior high, and 313 vocational high schools). The comfort-level map revealed 13,459 schools located in areas with very low and low comfort levels, whereas only 2377 schools are in locations of high or very high comfort levels. Based on the school accessibility map, higher levels are located in the larger cities of West Java, whereas schools with lower accessibility are documented far from these urban areas. In particular, senior high school accessibility is predominant in areas of lower accessibility levels, as there are comparatively fewer facilities available in West Java. Overall, higher levels of suitability are spread throughout West Java. These distribution results revealed an expansion of the availability of schools by area: senior high schools, 303,973.1 ha; vocational high schools, 94,170.51 ha; and junior high schools, 12,981.78 ha. Changes in elementary schools (3936.69 ha) were insignificant, as the current number of elementary schools is relatively much higher. This study represents the first to attempt to integrate these four parameters—accessibility, multi natural hazard, biohazard, comfort index, and land value—to determine potential areas for new schools to achieve educational equity targets.

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Relationship between wind incidents and wind-induced damage to construction in West Java, Indonesia

Cited by 5 publications

References 11 publications

An Overview of Extreme Storm Trends in Java Island using Storm Severity Index (SSI)

An Overview of Extreme Storm Trends in Java Island using Storm Severity Index (SSI)

Extreme Wind Variability and Wind Map Development in Western Java, Indonesia

School Location Analysis by Integrating the Accessibility, Natural and Biological Hazards to Support Equal Access to Education

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