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Calamity: A Journal of Disaster Technology and Engineering
Published by Institute for Advanced Science, Social, and Sustainable Future
ISSN : -     EISSN : 30254140     DOI : -
Core Subject : Science, Engineering,
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering
Calamity: A Journal of Disaster Technology and Engineering focuses on unique research on all facets of natural hazards, such as the prediction of catastrophic events, risk management, and the nature of natural and manmade hazard precursors. The effects on the environment are equally disastrous even if risks might come from a variety of sources and systems, including atmospheric, hydrologic, oceanographic, volcanologic, seismic, and neotectonic. This calls for tight collaboration between many scientific and operational disciplines in order to improve risk reduction. Risk assessment is included in the coverage of hazards in the atmospheric, climatological, oceanographic, storm surge, tsunami, flood, snow, avalanche, landslide, erosion, volcanic, man-made, and technology categories.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 2 No. 1: (July) 2024" : 5 Documents clear
Potential forest fire during the long dry season Province Riau & Jambi Hawam, Mochamad Emil; Aulady, Mohamad Ferdaus Noor
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i1.2024.241

Abstract

Background: Air pollution is a very serious problem nowadays. Air pollution can be caused by the problem of haze from forest fires that occurred in 2015 & 2019 in Province Riau & Jambi. The worst conditions occurred in the period 1997-1998 and in 2006-2007. In 2015 & 2019 the haze conditions returned to the 1997 period. Province Riau & Jambi contributed to the largest hotspots in forest fires compared to North Sumatra or Kalimantan. The increase in the haze that has continued for the past three months is very worrying because the haze is getting worse and thicker, making the visibility of the affected areas even smaller. The purpose of this research to know the capabilities being run the Riau provincial government has been in control of who impressed off guard because repeated continuously, and whether factors constr ai nts and defienc e i nflu enci ng th e c apab i li ti es of th e Province Riau & Jambi government. Method: Descriptive research is research that aims to describe, describe and analyze existing events and aims to obtain information about the impact of the haze in Province Riau & Jambi with existing theories so that it can be used in mitigation in different places. Findings: The urgency in this study to see why the Province Riau & Jambi government off guard so persistent, because the capabilities of the system and the process will involve considering the fire that occurred not once or twice only. Conclusion: The main causes of forest and peatland fires in Riau are human activities, such as the use of fire for land clearing and agricultural practices, combined with natural conditions like dry land and extreme hot weather. These fires significantly impact human health, social interactions, and the environment, necessitating critical awareness among farmers to act responsibly and monitor fire spread to prevent future losses. Novelty/Originality of this article: By analyzing the inhibiting factors and definitions that influence local government capacity, this study opens new insights into the complexity of environmental disaster management involving interactions between human activities, natural conditions, and institutional capacity.
Indonesia's economic and environmental resilience in the face of climate change: Analysis and implementation strategies Wurarah, Rully Novie
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i1.2024.940

Abstract

Backgorund: Climate change is a significant threat to Indonesia, an archipelago that is vulnerable to the negative impacts of this phenomenon. This study aims to identify the effects of climate change in Indonesia and evaluate mitigation and adaptation strategies needed to improve economic and environmental resilience. Based on climate change projections, increases in surface temperature, changes in rainfall patterns, sea level rise, and changes in water salinity have negative impacts on various sectors such as agriculture, fisheries, infrastructure, and public health. Method: The research method includes secondary data analysis from various official sources and a study of relevant literature, with an analytical descriptive approach to identify critical challenges and necessary strategies. Findings: The results show that limited fiscal space and the need for budgetary reform are significant challenges that need to be addressed through the introduction of a carbon tax, budgetary incentives for green technologies, and the removal of fossil fuel subsidies. In addition, mobilization of non-budget funding sources is needed to support green projects, with strategies such as the development of public-private partnerships, access to international funds, and technical capacity building. Conclusion: In conclusion, implementation of the recommended mitigation and adaptation strategies can increase Indonesia's resilience to climate change, reduce its risks and negative impacts, and ensure the sustainability of economic and social development. Novelty/Originality of this study: This research provides practical guidance for policymakers to develop effective strategies to deal with climate change
Enhancing fire disaster management: Innovative approaches using physical peatland monitoring data Prayoga, M. Bayu Rizky; Karuniasa, Mahawan; Frimawaty, Evi
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i1.2024.1030

Abstract

Background: 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.
Landslide vulnerability analysis Sarwodadi Village, Pejawaran District Banjarnegara Regency with scoring methods Saputra, Gaizka Tri; Azizi, Amris; Salim, M. Agus
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i1.2024.1833

Abstract

Background: 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.
Sensitivity analysis of the geomorphology flood index to extreme rainfall variability in Indonesia Bintang, Jessica Amanda
Calamity: A Journal of Disaster Technology and Engineering Vol. 2 No. 1: (July) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/calamity.v2i1.2024.1834

Abstract

Background: 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.

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