T. B. Waskita, R. A. Zahra, Muslih Biladi, Muhammad Nadafa Isnain, Pegi Melati, Anugrah Aditya Insani, I. Amri, D. Mardiatno, R. F. Putri
{"title":"基于空间多准则评价(SMCE)方法的印尼副三角区海啸易感性分布分析","authors":"T. B. Waskita, R. A. Zahra, Muslih Biladi, Muhammad Nadafa Isnain, Pegi Melati, Anugrah Aditya Insani, I. Amri, D. Mardiatno, R. F. Putri","doi":"10.1109/ICST50505.2020.9732883","DOIUrl":null,"url":null,"abstract":"The coastal area of Parangtritis is one of the areas in Indonesia which is potentially exposed to tsunami hazards. Tsunami is a secondary hazard generated from various events before their occurrences, such as volcanic eruptions, earthquakes, landslides, and extra-terrestrial objects, that disrupting the seawater column. This research aims to estimate tsunami susceptibility using Spatial Multi-Criteria Evaluation (SMCE) method in Parangtritis, Yogyakarta, Indonesia. Physical factors such as elevation, slope, distance from the riverbank, distance from the shoreline, landform, and land cover were collected from several sources and were combined to determine the distribution of tsunami susceptible areas. The result shows susceptibility index classes vary from the lowest to the highest level. The area with the lowest susceptibility level is located in Baturagung Hill. Meanwhile, the area near the shoreline and the riverbank has a relatively high level of susceptibility. The sand dunes landform which has been relied on to decrease the susceptibility level is covered by various levels of susceptibility from the very low to high. This susceptibility distribution analysis can be used for disaster mitigation and planning purposes.","PeriodicalId":125807,"journal":{"name":"2020 6th International Conference on Science and Technology (ICST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Susceptibility Distribution Analysis of Tsunami Using Spatial Multi-Criteria Evaluation (SMCE) Method in Parangtritis, Indonesia\",\"authors\":\"T. B. Waskita, R. A. Zahra, Muslih Biladi, Muhammad Nadafa Isnain, Pegi Melati, Anugrah Aditya Insani, I. Amri, D. Mardiatno, R. F. Putri\",\"doi\":\"10.1109/ICST50505.2020.9732883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The coastal area of Parangtritis is one of the areas in Indonesia which is potentially exposed to tsunami hazards. Tsunami is a secondary hazard generated from various events before their occurrences, such as volcanic eruptions, earthquakes, landslides, and extra-terrestrial objects, that disrupting the seawater column. This research aims to estimate tsunami susceptibility using Spatial Multi-Criteria Evaluation (SMCE) method in Parangtritis, Yogyakarta, Indonesia. Physical factors such as elevation, slope, distance from the riverbank, distance from the shoreline, landform, and land cover were collected from several sources and were combined to determine the distribution of tsunami susceptible areas. The result shows susceptibility index classes vary from the lowest to the highest level. The area with the lowest susceptibility level is located in Baturagung Hill. Meanwhile, the area near the shoreline and the riverbank has a relatively high level of susceptibility. The sand dunes landform which has been relied on to decrease the susceptibility level is covered by various levels of susceptibility from the very low to high. This susceptibility distribution analysis can be used for disaster mitigation and planning purposes.\",\"PeriodicalId\":125807,\"journal\":{\"name\":\"2020 6th International Conference on Science and Technology (ICST)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 6th International Conference on Science and Technology (ICST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICST50505.2020.9732883\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Science and Technology (ICST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICST50505.2020.9732883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Susceptibility Distribution Analysis of Tsunami Using Spatial Multi-Criteria Evaluation (SMCE) Method in Parangtritis, Indonesia
The coastal area of Parangtritis is one of the areas in Indonesia which is potentially exposed to tsunami hazards. Tsunami is a secondary hazard generated from various events before their occurrences, such as volcanic eruptions, earthquakes, landslides, and extra-terrestrial objects, that disrupting the seawater column. This research aims to estimate tsunami susceptibility using Spatial Multi-Criteria Evaluation (SMCE) method in Parangtritis, Yogyakarta, Indonesia. Physical factors such as elevation, slope, distance from the riverbank, distance from the shoreline, landform, and land cover were collected from several sources and were combined to determine the distribution of tsunami susceptible areas. The result shows susceptibility index classes vary from the lowest to the highest level. The area with the lowest susceptibility level is located in Baturagung Hill. Meanwhile, the area near the shoreline and the riverbank has a relatively high level of susceptibility. The sand dunes landform which has been relied on to decrease the susceptibility level is covered by various levels of susceptibility from the very low to high. This susceptibility distribution analysis can be used for disaster mitigation and planning purposes.