Calamity: A Journal of Disaster Technology and Engineering
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Landslide vulnerability analysis Sarwodadi Village, Pejawaran District Banjarnegara Regency with scoring methods
Get PDFBackground: Sarwodadi Village is one of the villages in Pejawaran District which is an area that has a high vulnerability to landslides. This study aims to determine the level of landslide vulnerability in Sarwodadi Village, Pejawaran District, Banjarnegara Regency. Methods: The data obtained is in the form of secondary data from related agencies. Data analysis was carried out aiming to determine the classification of the level of vulnerability to landslides. Findings: From the results of data analysis carried out using the scoring method which refers to the classification from Soil and Agro-climate Research/Pusat Penelitian Tanah dan Agroklimat (Puslittanak) it can be obtained the level of landslide vulnerability, point 1 enters the low class, point 2 enters the medium class, and point 3 enters the high class against disasters landslide. Conclusion: This research reveals that Sarwodadi Village has varying levels of vulnerability to landslides based on the scoring method. Point 1 is in the low vulnerability category, point 2 is in the medium vulnerability category, and point 3 is classified as having high vulnerability. These results provide a deeper understanding of the distribution of landslide vulnerability levels in the region, which can be the basis for more effective disaster mitigation planning. Novelty/Originality: This research offers a new contribution by integrating a scoring method based on classification from Soil and Agroclimate Research to evaluate the level of landslide vulnerability at a local scale. This approach allows detailed identification of vulnerabilities at specific points, providing important empirical data for risk mitigation planning in Sarwodadi Village. This area has not been studied much before in this context
Risk analysis in concrete structure work using the hiradc method on the Hermina Ciawi Hospital project
Get PDFIn the construction projects, a high risk of work accidents was found. Therefore, risk identification is very important to reduce the risk of work accidents afterwards. Risk identification begins with collecting research variables. These variables are then distributed to obtain probability and impact values from respondents. The method used in this research is HIRADC (Hazard Identification Risk Assessment & Determining Control) which is assessed based on its frequency (probability) and the impact of the hazard (consequence/severity). This research aims to determine potential dangers and high-level risks. as well as risk control measures and the control of the risk. The research results show that there are 39 potential hazards with 10 high risks with determining control as per hierarchy for each hazard
Enhancing fire disaster management: Innovative approaches using physical peatland monitoring data
Get PDFBackground: In Indonesia, the persistent occurrence of forest and land fires highlights the critical importance of early detection in determining the success of mitigation efforts. Method: This study explores several key aspects related to peatland wetness and its impact on fire prevention. Firstly, it examines the relationship between rainfall and the humidity and temperature of peatlands. Secondly, the study investigates peatland wetness as an indicator of hotspot emergence. Thirdly, the study evaluates stakeholder perceptions regarding the use of peat wetness monitoring in determining the emergency status of forest and land fire disasters. Findings: The study's results indicate that rainfall significantly influences peatland humidity, which in turn reflects the level of peat humidity and temperature. It was also found that peatlands with a Dry-Moderate humidity category can be a reliable indicator of the emergence of fire spots. The consensus among stakeholders is that monitoring peatland humidity is very important for decision-making related to emergency status. Finally, this study proposes a forest and land fire mitigation concept based on peatland humidity. Conclusion: This approach aims to reduce the risk of such fires by utilizing monitoring results to enhance preparedness, taking into consideration the current state of peatland wetness. Overall, this research underscores the importance of integrating peatland wetness monitoring into forest and land fire mitigation strategies to improve early detection and reduce the risk of fires. Novelty/Originality of this study: A study of forest fires in Indonesia links peatland wetness to fire hotspots, providing a reliable indicator for early fire detection. This is an innovative approach to forest fire prevention
The impact of climate change on potential rob floods and its effect on regional spatial planning on the Surabaya coast
Get PDFClimate change is a global issue that is of concern to the world. One of the impacts of climate change is sea level rise. Rising sea levels can cause tidal floods, especially in coastal areas. Based on data from the Meteorology, Climatology and Geophysics Agency (BMKG), one evidence of climate change is an increase in sea level. Satellite altimetry measurements show a trend of sea level rise in Indonesia from 1992-2022 averaging around 4 mm/year. Rising sea levels have an impact on increasing the frequency of coastal flooding, retreating coastlines, and the disappearance of national borders. The city of Surabaya is one of the coastal cities in Indonesia which has the potential to experience an increase in the height of tidal floods due to climate change. The potential for tidal floods due to climate change could harm the spatial planning of coastal areas in Surabaya. The results of this research show that the coast of Surabaya has a moderate level of tidal flood vulnerability with an area of 8230.77 ha, a high category with an area of 1739.21 ha, and a very high category with an area of 178.13 ha. The area is dominant from most of the coast of the Semampir subdistrict to Benowo and the border of the Bulak and Mulyorejo subdistricts. Tidal floods can cause the submergence of productive lands, such as settlements, fish farms, and warehouses. This can cause economic and social losses for coastal communities. Therefore, adaptation efforts are needed to reduce the impact of tidal floods due to climate change. These adaptation efforts can be carried out through improving spatial planning and environmental planning for coastal areas
Analysis of the risk of landslids in Kebomas, Gresik district
Get PDFLandslides occurred during the rainy season in Kebomas District, Gresik Regency, which has topography in the form of hills left over from limestone mining in 1960-1990. Field surveys conducted from December 2021 to March 2022 stated that landslides occurred during the rainy season in Kebomas District and caused damage to surrounding settlements. Slope, rainfall, rock type, soil type, and land use are factors that influence the occurrence of landslides. The purpose of this study was to map the level of landslide vulnerability in Kebomas District using a Geographic Information System. The methodologies used in this study include the application of GIS for geospatial data analysis, assessment of landslide hazard potential through secondary data and field surveys, and vulnerability analysis of physical data. Additionally, a qualitative analysis of landslide disaster risk was conducted, combining hazard and vulnerability factors. These methods aim to identify and prioritize landslide-prone areas in Gresik Regency for better disaster risk management. The results showed that there were three levels of landslide vulnerability in Kebomas District, namely low, medium and high. The low vulnerability class is found in all villages in the Kebomas District, most of which are in the six villages or sub-districts in the south, west and north, namely; Dahanrejo, Kedanyang, Prambang, Kembangan, Randuagung, and Segoromadu. The moderate vulnerability class is found in all villages in the Kebomas District, most of which are in the six villages in the southeast, northwest and north, namely; Randuagung, Prambang, Dahanrejo, Kembangan, Sidomoro, and Ngargosari. Areas with a high vulnerability class are located in the central part of the sub-district which includes 15 villages or sub-districts, most of which are in four villages, namely; Klangonan, Kawisanyar, Randuagung, and Sidomoro. This study shows that mapping the level of landslide vulnerability in the Kebomas District can help plan and manage disaster risks more effectively, especially in areas with high vulnerability. The results of this study provide a basis for creating more targeted landslide mitigation and handling strategies, as well as the need for special attention in areas with moderate to high vulnerability
Sensitivity analysis of the geomorphology flood index to extreme rainfall variability in Indonesia
Get PDFBackground: Flooding is one of the most frequent and costly natural disasters worldwide. According to DIBI-BNPB data, Indonesia has experienced 11,806 flood events. Flood risk management is crucial to identify flood-prone areas, which can be done through Flood Hazard Mapping (FHM) using the Geomorphology Flood Index (GFI). While GFI relies on topographical factors, Indonesia's rainfall varies significantly, necessitating a sensitivity comparison across different extreme rainfall characteristics. Methods: This study compares conventional GFI (without rainfall) and modified GFI (incorporating extreme rainfall). It determines extreme rainfall return periods of 5, 10, 25, 50, and 100 years using the Generalized Extreme Value (GEV) method. These values are normalized into Ip-A and Ip-B indices, which are then integrated into the GFI model to estimate flood-prone areas. Findings: The Ip-A and Ip-B methods yield different results. At a 100-year return period, Ip-A produces the same flood extent as conventional GFI, whereas Ip-B varies. Maluku, with the highest extreme rainfall (323.91 mm/day), shows a larger flood extent than conventional GFI, while Java, with the lowest (188.11 mm/day), shows a smaller extent. Extreme rainfall variability significantly affects flood potential, making the Ip-B method highly sensitive to such variations. Conclusion: The study concludes that the Ip-A method produces flood potential areas similar to the conventional GFI at a 100-year return period, while the Ip-B method yields different flood extents depending on extreme rainfall intensity. The Ip-B method is highly sensitive to extreme rainfall variations, making it more responsive to regional differences in flood potential. Novelty/Originality of this article: This study introduces a novel approach by integrating extreme rainfall variability into the Geomorphology Flood Index (GFI) using two modified indices, Ip-A and Ip-B, to enhance flood hazard mapping accuracy
A review of disaster mitigation analysis in learning
Get PDFEducation has a role in building character and community disaster response through learning in schools. Learning that is integrated with disaster mitigation is one of the efforts to develop the soul (character) to have disaster preparedness. This is important to reduce the impact of the disaster. This study aims to present information related to disaster mitigation techniques on the lessons that have been carried out. through a literature review of 7 articles on the Google Scholar database with limitations for 2019-2023. The article search method begins with Harzing's publish or perish software. The results of the research based on the 7 articles that have been reviewed show that the integration of disaster preparedness learning towards disaster preparedness with various levels of education integrated into learning materials using a structured learning model and updates according to the year the journal was published
Green open space plan for coal mine reclamation area PT Angsana Jaya Energi, Angsana, Tanah Bumbu, South Kalimantan
Get PDFMining activities can have a significant negative impact on the environment, leading to degradation. Converting land into a mining area requires mandatory post-mining reclamation activities. PT Angsana Jaya Energi, one of the coal mining companies in South Kalimantan, especially in Tanah Bumbu Regency, is participating in the implementation of reclamation activities. These activities will develop urban forests on mining land sold, covering an area of 29.75 hectares based on field surveys and data synthesis. To prepare a zoning plan for an urban forest area, several analyses are necessary, including spatial requirements, activities, user characteristics, forest organization, and regional footprint. The development of an urban forest will serve different functions in each area
Burned area mapping in Dendang District, Tanjung Jabung Timur Regency using sentinel-2
Get PDFRemote Sensing is a way to provide information efficiently both in terms of cost and time. In addition, the use of remote sensing in mapping the burned area can be carried out on a large scale but with a fast time for the prevention of land fires. Monitoring of forest fires is carried out to see locations that often become fire hotspots every year and to prevent frequent land and forest fires.The method used in this study is to map the burned area using multi-temporal data using the Normalized burning Ratio and Normalized burning Ratio 2 indices from Sentinel-2 images in May and September 2019. The trend data can be used to evaluate the moratorium on forest business permits or a peatland. Sentinel 2 has a higher spatial resolution of 20 meters compared to other multispectral images that can be accessed easily and free of charge, so it is suitable to be applied in areas that are not too large and minimizes the value of estimation errors, using Sentinel 2 imagery which has 13 channels will Selected several channels that can be used for index transformation, namely the NBR (Normalized Burn Ratio) and NBR2 (Normalized Burn Ratio2) indexes, both indices utilize Near Infrared, SWIR1, and SWIR2 channels which can provide information about the area after land fires,The research results obtained that burned areas are often identified as barren land, such as peat canals or vacant land. This is because the spectral reflection characteristics of objects in burnt areas are the same as those in non-vegetated land areas when the NBR index is transformed using the NIR, SWIR1 and SWIR2 channels.
Keywords: Forest and land fires, NBR Indices, Sentinel-2
Landslide disaster risk analysis in Pacet District, Mojokerto Regency, East Java
Get PDFPacet District, Mojokerto Regency, East Java is one of the areas prone to landslides. Landslides in the area that occur can threaten lives and cause environmental damage and financial losses. This study aims to analyze the risk of landslides in Pacet District, Mojokerto Regency, East Java, and apply Early Warning System (EWS) technology based on the Internet of Things (IoT). This type of research is both qualitative and quantitative, the results of the study are based on the level of threat of landslides. Designing a landslide early warning tool is not easy to do because it has to be adapted to local situations and conditions. This program will be directed at technology transfer by implementing an Internet of Things (IoT)-based Early Warning System (EWS)