Pub Date : 2018-09-01DOI: 10.1109/AGERS.2018.8554093
Qoriatun Nafishoh, I. Meilano, A. Riqqi
Quantitative risk assessment is useful to determine the actual risk conditions from the society. This paper aims to assess quantitative risks due to flood disasters in Java Island and project the risk until 2030 based on land change scenarios. Quantitative risk is assessed by integrating hazard, vulnerabilitiy, and elements at risk through Geographic Information Systems (GIS). Flood hazard is represented by inundation depth. Vulnerability is represented by a vulnerability curve for relating flood depth with the probability of damage level. While the elements at risk consists of house and population. Risk projection is carried out based on land change scenarios. This scenario is modeled using the relationship of the availability of foodstuffs energy to the population. The results show that during 2014 – 2030, the number of populations and houses that affected by floods has increased around 13.99% and 31.84%. The estimated economic losses from house building about Rp1.797.258 billion in 2014 and increase up to Rp3.240.681 billion in 2030.
{"title":"Quantitative Flood Risk Projection in Java Island, Indonesia","authors":"Qoriatun Nafishoh, I. Meilano, A. Riqqi","doi":"10.1109/AGERS.2018.8554093","DOIUrl":"https://doi.org/10.1109/AGERS.2018.8554093","url":null,"abstract":"Quantitative risk assessment is useful to determine the actual risk conditions from the society. This paper aims to assess quantitative risks due to flood disasters in Java Island and project the risk until 2030 based on land change scenarios. Quantitative risk is assessed by integrating hazard, vulnerabilitiy, and elements at risk through Geographic Information Systems (GIS). Flood hazard is represented by inundation depth. Vulnerability is represented by a vulnerability curve for relating flood depth with the probability of damage level. While the elements at risk consists of house and population. Risk projection is carried out based on land change scenarios. This scenario is modeled using the relationship of the availability of foodstuffs energy to the population. The results show that during 2014 – 2030, the number of populations and houses that affected by floods has increased around 13.99% and 31.84%. The estimated economic losses from house building about Rp1.797.258 billion in 2014 and increase up to Rp3.240.681 billion in 2030.","PeriodicalId":369244,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131678196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/AGERS.2018.8554094
Febriana Kuscahyadi, A. Riqqi, I. Meilano
Over the past decade, West Sumatra experienced a major earthquake event with significant risk. Disaster risk analysis needs to be done with the aim of minimizing disaster risk. This study aims to model the distribution risk of building houses damages and economic losses. Risk analysis is carried out quantitatively with probabilistic and deterministic approaches with faults and subduction zone sources based on Seismic Hazard Analysis (SHA) method. The use of probabilistic and deterministic approaches is done for providing a better risk analysis perspective and regarding to earthquake disaster management policy making. The results found that the earthquake risks are greater from fault earthquake sources compared with subduction earthquake sources.
{"title":"Earthquake Risk Analysis of Building Houses using Probabilistic and Deterministic Approach (Study Case: West Sumatra, Indonesia)","authors":"Febriana Kuscahyadi, A. Riqqi, I. Meilano","doi":"10.1109/AGERS.2018.8554094","DOIUrl":"https://doi.org/10.1109/AGERS.2018.8554094","url":null,"abstract":"Over the past decade, West Sumatra experienced a major earthquake event with significant risk. Disaster risk analysis needs to be done with the aim of minimizing disaster risk. This study aims to model the distribution risk of building houses damages and economic losses. Risk analysis is carried out quantitatively with probabilistic and deterministic approaches with faults and subduction zone sources based on Seismic Hazard Analysis (SHA) method. The use of probabilistic and deterministic approaches is done for providing a better risk analysis perspective and regarding to earthquake disaster management policy making. The results found that the earthquake risks are greater from fault earthquake sources compared with subduction earthquake sources.","PeriodicalId":369244,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121431217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/AGERS.2018.8554206
R. Sulistyowati, E. Avianti, A. Panjaitan, A. Darmawan, L. Sumargana
The 2015 fire period and 2018 non-fire period in South Sumatera, Indonesia, will be studied by using satellite rainfall data from HIMAWARI-8 AHI. The rainfall data from satellite remote sensing and surface meteorological data will be used as an input for Canadian Forest Fire Weather Index System and compare during those two different seasons. In this study, the satellite rainfall data will be applied to the peat land area at South Sumatera Province. During 2015, rainfall conditions less than 3 mm/day and South Sumatera’s condition very dry compare with the conditions on 2018.
{"title":"The Role of Himawari Rainfall Data for Indonesia Fire Danger Rating System (Ina-FDRS)","authors":"R. Sulistyowati, E. Avianti, A. Panjaitan, A. Darmawan, L. Sumargana","doi":"10.1109/AGERS.2018.8554206","DOIUrl":"https://doi.org/10.1109/AGERS.2018.8554206","url":null,"abstract":"The 2015 fire period and 2018 non-fire period in South Sumatera, Indonesia, will be studied by using satellite rainfall data from HIMAWARI-8 AHI. The rainfall data from satellite remote sensing and surface meteorological data will be used as an input for Canadian Forest Fire Weather Index System and compare during those two different seasons. In this study, the satellite rainfall data will be applied to the peat land area at South Sumatera Province. During 2015, rainfall conditions less than 3 mm/day and South Sumatera’s condition very dry compare with the conditions on 2018.","PeriodicalId":369244,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115873209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/AGERS.2018.8554205
W. A. Martono, Laju Gandharum
Ogan Komering Ilir (OKI) regency has the largest peatland area peatland in South Sumatera province. A benefit transfer method is proposed in this paper to calculate the peatland carbon stock. While this approach may not resulted in a highly accurate carbon stock figure when compared to a more time and resource consuming survey and sample plot method, the resulting carbon figure is still useful for general planning requirements. The benefit transfer method uses similar survey approach for carbon stock calculation, namely consist of the five pools: above-ground biomass, subsurface biomass, deadwood, litter, and soil. Assuming the lack of detailed information of those five pools, this approach uses a benefit transfer method to estimate the five pools of carbon stocks. Benefit transfer method is a method (widely used in natural resources studies) in which available information from studies completed in another location is used. This paper has estimated that the (soil pool) peatlands in OKI regency holds 409,470,154 tonnes of carbon stock.
{"title":"Carbon Stocks In OKI Regency Peatland – A Benefit Transfer Approach","authors":"W. A. Martono, Laju Gandharum","doi":"10.1109/AGERS.2018.8554205","DOIUrl":"https://doi.org/10.1109/AGERS.2018.8554205","url":null,"abstract":"Ogan Komering Ilir (OKI) regency has the largest peatland area peatland in South Sumatera province. A benefit transfer method is proposed in this paper to calculate the peatland carbon stock. While this approach may not resulted in a highly accurate carbon stock figure when compared to a more time and resource consuming survey and sample plot method, the resulting carbon figure is still useful for general planning requirements. The benefit transfer method uses similar survey approach for carbon stock calculation, namely consist of the five pools: above-ground biomass, subsurface biomass, deadwood, litter, and soil. Assuming the lack of detailed information of those five pools, this approach uses a benefit transfer method to estimate the five pools of carbon stocks. Benefit transfer method is a method (widely used in natural resources studies) in which available information from studies completed in another location is used. This paper has estimated that the (soil pool) peatlands in OKI regency holds 409,470,154 tonnes of carbon stock.","PeriodicalId":369244,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132780564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/AGERS.2018.8554095
Sumirah, L. Sumargana, D. Nugroho, G. P. Dinanta, Y. Anantasena
The Ultra GPR (Ground Penetrating Radar) method is one of the electromagnetic geophysical methods designed to detect objects buried in the ground and can be used to map subsurface conditions without drilling or digging the ground. This method uses the principle of wave propagation from transmitter to receiver. The ultra GPR data collection is done on peatland in Siak Regency, Riau Province. The results of the radargram show a clear boundary between the peat and the underlying mineral layer, this is demonstrated by clear and continuous contrast. The ultra GPR method is an effective and efficient method used to identify thickness of the peat in a broad scale.
{"title":"Identify depth of peat using Ultra GPR in Siak Regency, Riau Province","authors":"Sumirah, L. Sumargana, D. Nugroho, G. P. Dinanta, Y. Anantasena","doi":"10.1109/AGERS.2018.8554095","DOIUrl":"https://doi.org/10.1109/AGERS.2018.8554095","url":null,"abstract":"The Ultra GPR (Ground Penetrating Radar) method is one of the electromagnetic geophysical methods designed to detect objects buried in the ground and can be used to map subsurface conditions without drilling or digging the ground. This method uses the principle of wave propagation from transmitter to receiver. The ultra GPR data collection is done on peatland in Siak Regency, Riau Province. The results of the radargram show a clear boundary between the peat and the underlying mineral layer, this is demonstrated by clear and continuous contrast. The ultra GPR method is an effective and efficient method used to identify thickness of the peat in a broad scale.","PeriodicalId":369244,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132008900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/AGERS.2018.8554207
Dzakiyyah Khaerani, D. Sarsito, I. Meilano, Susilo
Sumatra Island, one of the areas in Indonesia, has a very active tectonics in the world. It causes Sumatra to be prone to tectonic earthquake disaster due to the movement of the plates around it. On March 2nd, 2016, a Mw7.8 earthquake centered in the Wharton Indian Ocean Basin Zone, West of Sumatra island happened at a depth of 24 km. This earthquake was an intraplate earthquake that occurred due to the movement in the ocean plate as a type of left lateral strike-slip fault. The calculation of deformation in West Sumatra due to the earthquake was conducted through continuous GPS observation of SuGAr (Sumatran GPS Array) from January 1, 2015 until March 30, 2017 around west part of Sumatra areas. Data processing is done by using GAMIT/GLOBK 10.6 software and the results in daily solution shows that the horizontal component of co-seismic deformation of West Sumatra earthquake in 2016 ranged from 3,6 mm – 5,5 mm which moves toward to northwest. The difference in velocity movement of GPS observation before and after earthquake is used to calculate the strain of plate tectonic around West Sumatra region, where there is a compression pattern before earthquake equal to 2.72×10-8 strain and after earthquake equal to 5.98×10-8 strain. This indicates that there is an increase in compression value in the observation after the earthquake, and the observation area again show the interseismic deformation which means that there is still a considerable accumulation of energy and sometimes can cause the other earthquake.
{"title":"Deformation of West Sumatra Due to the 2016 Earthquake (M7.8) Based on Continuous GPS Data","authors":"Dzakiyyah Khaerani, D. Sarsito, I. Meilano, Susilo","doi":"10.1109/AGERS.2018.8554207","DOIUrl":"https://doi.org/10.1109/AGERS.2018.8554207","url":null,"abstract":"Sumatra Island, one of the areas in Indonesia, has a very active tectonics in the world. It causes Sumatra to be prone to tectonic earthquake disaster due to the movement of the plates around it. On March 2nd, 2016, a Mw7.8 earthquake centered in the Wharton Indian Ocean Basin Zone, West of Sumatra island happened at a depth of 24 km. This earthquake was an intraplate earthquake that occurred due to the movement in the ocean plate as a type of left lateral strike-slip fault. The calculation of deformation in West Sumatra due to the earthquake was conducted through continuous GPS observation of SuGAr (Sumatran GPS Array) from January 1, 2015 until March 30, 2017 around west part of Sumatra areas. Data processing is done by using GAMIT/GLOBK 10.6 software and the results in daily solution shows that the horizontal component of co-seismic deformation of West Sumatra earthquake in 2016 ranged from 3,6 mm – 5,5 mm which moves toward to northwest. The difference in velocity movement of GPS observation before and after earthquake is used to calculate the strain of plate tectonic around West Sumatra region, where there is a compression pattern before earthquake equal to 2.72×10-8 strain and after earthquake equal to 5.98×10-8 strain. This indicates that there is an increase in compression value in the observation after the earthquake, and the observation area again show the interseismic deformation which means that there is still a considerable accumulation of energy and sometimes can cause the other earthquake.","PeriodicalId":369244,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131402344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/AGERS.2018.8554202
F. Marpaung, D. Fernando, S. Putiamini
Tropical peatland is one of the main factors in global climate regulation. However, a repeatable large-scale fire as a result of land clearing and poor management practices rapidly devastates tropical peatlands in Indonesia. To restore this ecosystem, Indonesia government makes special actions by doing three activities, namely rewetting, replantation, and communal empowerment. These activities need real-time and actual information of peat moisture. Therefore, we investigated the soil moisture profile in Ogan Komering Ilir, South Sumatera Province, Indonesia. We measured soil moisture at four different soil layers, namely 5-cm, 15-cm, 25-cm, and 35-cm soil layer along with two types of land covers, namely acacia and oil palm. Results indicated that the variance of 15-cm was lower than other soil layers. Therefore, the soil moisture in the layer of 15-cm soil layer can be used as preliminary information of drought in tropical peatland, Indonesia.
{"title":"Tropical Peat Moisture Profiles for Early Information of Drought in Indonesia","authors":"F. Marpaung, D. Fernando, S. Putiamini","doi":"10.1109/AGERS.2018.8554202","DOIUrl":"https://doi.org/10.1109/AGERS.2018.8554202","url":null,"abstract":"Tropical peatland is one of the main factors in global climate regulation. However, a repeatable large-scale fire as a result of land clearing and poor management practices rapidly devastates tropical peatlands in Indonesia. To restore this ecosystem, Indonesia government makes special actions by doing three activities, namely rewetting, replantation, and communal empowerment. These activities need real-time and actual information of peat moisture. Therefore, we investigated the soil moisture profile in Ogan Komering Ilir, South Sumatera Province, Indonesia. We measured soil moisture at four different soil layers, namely 5-cm, 15-cm, 25-cm, and 35-cm soil layer along with two types of land covers, namely acacia and oil palm. Results indicated that the variance of 15-cm was lower than other soil layers. Therefore, the soil moisture in the layer of 15-cm soil layer can be used as preliminary information of drought in tropical peatland, Indonesia.","PeriodicalId":369244,"journal":{"name":"2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127590398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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