Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 207
Author(s):  
Yun-Ju Chen ◽  
Hsuan-Ju Lin ◽  
Jun-Jih Liou ◽  
Chao-Tzuen Cheng ◽  
Yung-Ming Chen

Climate change has exerted a significant global impact in recent years, and extreme weather-related hazards and incidents have become the new normal. For Taiwan in particular, the corresponding increase in disaster risk threatens not only the environment but also the lives, safety, and property of people. This highlights the need to develop a methodology for mapping disaster risk under climate change and delineating those regions that are potentially high-risk areas requiring adaptation to a changing climate in the future. This study provides a framework of flood risk map assessment under the RCP8.5 scenario by using different spatial scales to integrate the projection climate data of high resolution, inundation potential maps, and indicator-based approach at the end of the 21st century in Taiwan. The reference period was 1979–2003, and the future projection period was 2075–2099. High-resolution climate data developed by dynamic downscaling of the MRI-JMA-AGCM model was used to assess extreme rainfall events. The flood risk maps were constructed using two different spatial scales: the township level and the 5 km × 5 km grid. As to hazard-vulnerability(H-V) maps, users can overlay maps of their choice—such as those for land use distribution, district planning, agricultural crop distribution, or industrial distribution. Mapping flood risk under climate change can support better informed decision-making and policy-making processes in planning and preparing to intervene and control flood risks. The elderly population distribution is applied as an exposure indicator in order to guide advance preparation of evacuation plans for high-risk areas. This study found that higher risk areas are distributed mainly in northern and southern parts of Taiwan and the hazard indicators significantly increase in the northern, north-eastern, and southern regions under the RCP8.5 scenario. Moreover, the near-riparian and coastal townships of central and southern Taiwan have higher vulnerability levels. Approximately 14% of townships have a higher risk level of flooding disaster and another 3% of townships will become higher risk. For higher-risk townships, adaptation measures or strategies are suggested to prioritize improving flood preparation and protecting people and property. Such a flood risk map can be a communication tool to effectively inform decision- makers, citizens, and stakeholders about the variability of flood risk under climate change. Such maps enable decision-makers and national spatial planners to compare the relative flood risk of individual townships countrywide in order to determine and prioritize risk adaptation areas for planning spatial development policies.


2016 ◽  
Vol 2 (2) ◽  
pp. 239
Author(s):  
Aprin Sulistyani ◽  
Arief Syaifullah ◽  
Mr. Kusmiarto

Abstract : Indonesia is in the region with high potential threat of natural disasters. Landslides is the largest and most deadly threat in Indonesia (Gema BNPB 2015). Therefore, disaster risk reduction is needed to minimize the impact of disaster, by encouraging collection, management and access to the risk information using location-based database. To support these efforts, this research sought to describe the distribution of the level of threat, vulnerability, capacity and risk of landslides in the district of Gedangsari through decisive element of risk weighting, which are threats, vulnerabilities and capacities for 67 hamlets in study area. The result were presented as Threat Map, Vulnerability Map, Capacity Map and Landslide Risk Map. Furthermore, these maps were overlayed with Land Registry Map and Technique Base-Map. The results were analyzed using spatial and quantitative descriptive methods to provide land information-based landslides in Kecamatan Gedangsari. This information is useful to support the work of National Land Agency in providing safe land relocation near to the disaster site and to maintain Cadastral Control Points. Keywords : landslide, land relocation, contol pointsIntisari : Wilayah Indonesia berada pada potensi tinggi ancaman bencana alam. Bencana tanah longsor merupakan ancaman terbesar dan paling mematikan di Indonesia (Gema BNPB 2015). Oleh karena itu perlu upaya pengurangan risiko bencana untuk meminimalisir dampak yang ditimbulkan dengan mendorong pengumpulan, manajemen dan akses informasi risiko menggunakan dasar data berbasis lokasi. Dalam rangka mendukung upaya tersebut, penelitian ini mencoba menggambarkan sebaran tingkat ancaman, kerentanan, kapasitas dan risiko bencana tanah longsor di Kecamatan Gedangsari melalui pembobotan unsur penentu risiko yaitu ancaman, kerentanan dan kapasitas pada 67 dusun. Hasilnya, disajikan dalam bentuk Peta Ancaman, Peta Kerentanan, Peta Kapasitas dan Peta Risiko Bencana Tanah Longsor. Selanjutnya, peta-peta tersebut dipadukan dengan Peta Pendaftaran Tanah dan Peta Dasar Teknik. Hasil overlay kemudian dianalisis secara spasial dan deskriptif kuantitatif untuk menyajikan informasi pertanahan berbasis bencana tanah longsor di Kecamatan Gedangsari. Informasi tersebut bermanfaat dalam rangka melaksanakan fungsi Badan Pertanahan Nasional seperti kegiatan penyediaan tanah relokasi yang aman dan dekat dengan lokasi bencana dan pemeliharaan TDT. Kata Kunci : tanah longsor, relokasi tanah, TDT


Author(s):  
Anizan Isahak ◽  
Mohammad I.H. Reza ◽  
Chamhuri Siwar ◽  
Shaharuddin M. Ismail ◽  
Norela Sulaiman ◽  
...  

Shelter centres are important locations to safeguard people from helpless situations and are an integral part of disaster risk reduction (DRR), particularly for flood DRR. The establishment of shelter centres, and their design based on scientific assessment, is crucial. Yet, they are very much related to the geographic location, socio-economic conditions and the livelihoods of the affected communities. However, many parts of the developing world are still lagging behind in ensuring such scientific design. Considering the flood disaster in 2014 that affected the residents living along the Pahang River Basin, in this study we delineate the communities at risk and evaluate the existing shelter centres to determine how they reduce people’s vulnerability to the risks associated with rural and urban landscapes. We used spatial analysis tools to delineate risk zones and to evaluate existing evacuation systems. A flood disaster risk map was produced to determine which communities are living with risks. Subsequently, the distribution of shelter centres examined whether they are able to support people living at the flood risk zones. These centres were also evaluated using a set of international guidelines for effective disaster shelters. This reveals that the number of shelter centres is not adequate. The designation and designing of shelter centres are not being done scientifically. The maps produced here have a lot of potential to support disaster management decisions, in particular site selection and the prioritisation of centres. The study concludes with a set of guidelines and recommendations for structural and non-structural measures, such as alternative livelihoods and the potential of ecotourism, which may improve the resilience among flood-affected communities; and the decision-making process for the overall flood DRR initiatives.


2020 ◽  
Vol 5 (1) ◽  
pp. 35-43
Author(s):  
Mery Silviana

This research produced a tsunami risk map of village’s community in Banda Aceh from a low level to a high level risk. Disaster risk analysis techniques involve a set of multi-criteria and Geographic Information Systems (GIS). GIS is used as a method to evaluate the multi-criteria which are made into spatial data and combining them into a risk map. Disaster risk assessment involves two factors: the tsunami hazard assessment and vulnerability of community. Tsunami hazard’s level is measured based on the map of the tsunami’s intensity by the number of damaged buildings that is produced by JICA study team on the Indian Ocean Tsunami in 2004, while the vulnerability of community is evaluated from hazard exposure and coping capacity of society in social, economic and physical dimension. Result of study shows two villages that have an extremely high degree of risk, 36 villages have a high degree of risk, 11 villages have a medium risk, 12 villages have a low risk and 29 villages have no risk at all.


Elkawnie ◽  
2017 ◽  
Vol 3 (2) ◽  
Author(s):  
Fathul Mahdariza

In order to minimize the losses caused by lightning, a lightning disaster management system is compulsory. It should provide lightning disaster information in an area to get the risk values of lightning strikes. One way is to establish a lightning disaster risk map. The disaster risk map consists of hazard map, vulnerability map and capacity map. However, lightning yet has not been included in the regulation guiding the establishment of risk map for several disasters in Indonesia. This study is conducted to develop a process to determine general hazard index for lightning disaster.


2020 ◽  
Vol 5 (19) ◽  
pp. 202009
Author(s):  
Tarsis Esaú Gomes Almeida ◽  
Maria do Socorro Almeida Flores ◽  
Mário Vasconcellos Sobrinho

MAPPING DISASTER RISK BY FOREST FIRE IN THE AMAZON: a multifactorial approach in the municipality of Moju (PA)MAPEO DEL RIESGO DE DESASTRE POR INCENDIO FLORESTAL EN LA AMAZONÍA: un enfoque multifactorial en el municipio de Moju (PA)RESUMONo estado do Pará o município de Moju é um dos que apresentam a maior quantidade de focos de calor conforme dados oficiais. Note-se que a base de suas atividades econômicas são a agricultura familiar e as plantações de dendê e coco-da-baía, diante disso propôs-se questionar sobre o risco não apenas da existência de incêndios florestais, mas da magnitude das consequências socioeconômicas deles. A pesquisa bibliográfica e documental em artigos acadêmicos e científicos, dissertações e teses possibilitou a compreensão do significado de mapeamento de áreas de risco de incêndio florestal identificadas no mapa de risco, bem como a possibilidade de desenvolver com base teórica e metodológica a criação de um mapeamento e ponderação de aspectos socioeconômicos expressado no mapa de vulnerabilidade, a fim de refinar um produto final na elaboração do mapa de risco de desastre. Assim, objetivo deste artigo é mostrar e discutir a incorporação de fatores sociais e econômicos na formulação dos mapas de risco de incêndio florestal. Mais precisamente, um Mapa de Risco de Desastre por Incêndio Florestal (MRDIF), que consiste na fusão entre Mapas de Risco de Incêndio Florestal e um Mapa Avaliativo Socioeconômico. Como resultado imediato da formação do MRDIF é o planejamento de ações preventivas. Percebeu-se que houve variação nas áreas de risco dos mapas com e sem a inclusão dos aspectos socioeconômicos, o que pode indicar quais sejam as áreas principais para ações a fim de diminuir os riscos ou as consequências dos possíveis desastres causados por incêndios florestais. Palavras-chave: Gestão de Risco; Incêndios Florestais; Uso do Solo na Amazônia; Cartografia.ABSTRACTIn the state of Pará, the municipality of Moju is one of those with the highest number of hot spots according to official data. It should be noted that the basis of its economic activities are family farming and oil palm and coconut plantations. In view of this, it was proposed to ask about the risk not only of the existence of forest fires, but of the magnitude of their socioeconomic consequences. Bibliographic and documentary research in academic and scientific articles, dissertations and theses made it possible to understand the meaning of mapping areas of forest fire risk identified in the risk map, as well as the possibility of developing a mapping with theoretical and methodological basis. and weighting of socioeconomic aspects expressed in the Vulnerability Map, in order to refine a final product in the preparation of the disaster risk map. Thus, the objective of this article is to show and discuss the incorporation of social and economic factors in the formulation of forest fire risk maps. More precisely, a Forest Fire Disaster Risk Map (FFDRP), which consists of the merger between Forest Fire Risk Maps and a Socioeconomic Assessment Map. As an immediate result of the formation of FFDRP is the planning of preventive actions. It was noticed that there was variation in the risk areas of the maps with and without the inclusion of socioeconomic aspects, which may indicate what are the main areas for actions in order to reduce the risks or the consequences of possible disasters caused by forest fires.Keywords: Risk Management; Fire Forest; Land Use in the Amazon; Cartography.RESUMENEn el estado de Pará, el municipio de Moju es una de las regiones con el mayor número de focos de calor según datos oficiales. Cabe señalar que la base de sus actividades económicas son la agricultura familiar y las plantaciones de palma aceitera y coco, en vista de esto, se propuso preguntar sobre el riesgo no solo de la existencia de incendios forestales, sino de la magnitud de sus consecuencias socioeconómicas. La investigación bibliográfica y documental en artículos académicos y científicos, disertaciones y tesis permitió comprender el significado de las áreas de mapeo de riesgo de incendio forestal identificadas en el mapa de riesgo, así como la posibilidad de desarrollar un mapeo con base teórica y metodológica. y ponderación de los aspectos socioeconómicos expresados en el mapa de vulnerabilidad, con el fin de refinar un producto final en la preparación del mapa de riesgo de desastres. Por lo tanto, el objetivo de este artículo es mostrar y discutir la incorporación de factores sociales y económicos en la formulación de mapas de riesgo de incendios forestales. Más precisamente, un Mapa de Riesgo de Desastres por Incendios Forestales (MRDIF), que consiste en la fusión entre Mapas de riesgo de incendios forestales y un Mapa de evaluación socioeconómica. Como resultado inmediato de la formación de MRDIF es la planificación de acciones preventivas. Se observó que hubo variación en las áreas de riesgo de los mapas con y sin la inclusión de aspectos socioeconómicos, lo que puede indicar cuáles son las principales áreas de acción para reducir los riesgos o las consecuencias de posibles desastres causados por incendios forestales.Palabras clave: Gestión de Riesgos; Incendios Florestales; Uso del Suelo en la Amazonia; Cartografía.


2017 ◽  
pp. 455-462 ◽  
Author(s):  
Insang Yu ◽  
Taegeun Lee ◽  
Lee-hyung Kim ◽  
Sangman Jeong

2019 ◽  
Vol 4 (2) ◽  
pp. 189
Author(s):  
Rina Suryani Oktari

ABSTRACT Lam Teungoh village is one of the most affected areas during the tsunami 2004. Twelve years after the tsunami, most of the tsunami preparedness facilities in Lam Teungoh Village, such as evacuation signs and information on tsunami hazards are found in poor conditions. This activity aims to improve the capacity and resilience of apparatus and community of Lam Teungoh Village in the facing disaster. This activity is carried out through participatory survey methods, lectures, discussions, simulation, observation, mentoring, and evaluation. This activity involves several partners including Aceh Besar District Disaster Management Agency, village and community governments, schools, and non-governmental organizations (NGOs). The outcomes of this activity include: i) Increased community understanding on disaster management, ii) Hazards, vulnerabilities, and capacities of Lam Teungoh Village on facing disaster are identified, iii) Disaster Management Plan Document, Disaster Risk Map, and Disaster Evacuation Map are formulated, iv) Disaster Risk Reduction Forum in Lam Teungoh Village is established, and v) Training needs of women and youth group in improving community economic status are identified. Keywords: Aceh Besar; Lam Teungoh; disaster resilient village; resilience community


2017 ◽  
Vol 3 (3) ◽  
pp. 135
Author(s):  
Candra Dian Lukita Tauhid ◽  
Teuku Faisal Fathani ◽  
Djoko Legono

Klaten Regency is located in Central Java Province, Indonesia, ranked as 19th most susceptible area in Indonesia. Among of many disasters those take place in Klaten are floods, landslides, and earthquake, which cause damages and loss of lives. Unfortunately, some areas in Klaten Regency are also very vulnerable to the disasters that often contribute severe damage and loss. This paper presents result of risk analysis due to floods, landslides and earthquake disaster at Klaten Regency. Several parameters or criteria are utilized to describe the level of the disaster intensities. The flood susceptibility parameters are the Topographic Wet Index (TWI), Normalized Difference Vegetation Index (NDVI), permeability and roughness, as proposed by Kafira, et al. (2015). The landslide susceptibility are the geology, slope, elevation, distance from fault, distance from rivers, rainfall and land use, as suggested by Thearith (2009) whereas the earthquake susceptibility was referred to FEMA P-154 by using the Ss and S1. The vulnerability and risk analysis are carried out by referring to the parameters as stipulated by the Chief Regulation of the National Board of Disaster Management No.2 Year 2012 (Perka Badan Nasional Penanggulangan Bencana- BNPB), concerning the parameters being used for the vulnerability analysis, i.e. population density, poverty ratio, land use, and level of Gross Regional Domestic Product. Further spatial analysis of the risk performs the multi-disaster risk map as a combination between the floods, landslides and earthquake disaster risk in Klaten Regency. The established multi-disaster risk map shows the risk level in the Klaten Regency, i.e., 16.31% at very low risk, 33.01% at low risk, 34.49% at medium risk, at 14.22% high risk and 1.97% at very high risk.


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