Progress in Disaster Science最新文献_第4页

Resilience rising: Redefining livelihood systems in disaster-prone rural communities

IF 2.6

Progress in Disaster Science Pub Date : 2024-12-01 DOI: 10.1016/j.pdisas.2024.100391

Reza Amarta Prayoga , Eko Wahyono , Nuzul Solekhah , Fatwa Nurul Hakim , Siti Fatimah , Lis Purbandini , Djoko Puguh Wibowo , Rachmini Saparita

{"title":"Resilience rising: Redefining livelihood systems in disaster-prone rural communities","authors":"Reza Amarta Prayoga , Eko Wahyono , Nuzul Solekhah , Fatwa Nurul Hakim , Siti Fatimah , Lis Purbandini , Djoko Puguh Wibowo , Rachmini Saparita","doi":"10.1016/j.pdisas.2024.100391","DOIUrl":"10.1016/j.pdisas.2024.100391","url":null,"abstract":"<div><div>This study emphasizes the need for a critical review of existing literature to identify the enablers and barriers to social modeling. Rather than solely focusing on vulnerability, it seeks to deconstruct and redefine resilience, particularly in the context of livelihood systems within communities that have been underexplored in current research. Through a qualitative approach, the study combines critical and constructivist paradigms to develop social modeling that enhances the resilience of disaster-prone communities via their livelihood systems. The goal is to create an innovative, participatory, and sustainable model for rural community livelihoods that can withstand challenges. Central to this model is the accumulation of both capital and social capital. The study offers strategic and practical recommendations for stakeholders and communities in disaster-prone areas to rebuild more robust livelihood systems by harnessing ecological, social, economic, and cultural potentials. It has significant implications for the analytical framework of community livelihood systems and the strategic and operational planning needed to address livelihoods in disaster-affected areas. Social modeling is a critical strategy for planning and implementing social protection and economic mitigation in such communities.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100391"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Identifying urban prone areas to flash floods: The case of Santa Cruz de Tenerife” [Progress in Disaster Science Volume 24 (2024), 100372]

IF 2.6

Progress in Disaster Science Pub Date : 2024-12-01 DOI: 10.1016/j.pdisas.2024.100375

Nerea Martín-Raya, Jaime Díaz-Pacheco, Pedro Dorta Antequera, Abel López-Díez

引用次数: 0

Does forecast-based financing (FbF) lower women's vulnerability to flooding? 基于预测的融资（FbF）是否降低了妇女对洪水的脆弱性？

IF 2.6

Progress in Disaster Science Pub Date : 2024-12-01 DOI: 10.1016/j.pdisas.2024.100389

Fabiha Rahman , Shampa , Sonia Binte Murshed , Mashfiqus Salehin , Faisal Mahmud Sakib , Erin Coughlan de Perez

{"title":"Does forecast-based financing (FbF) lower women's vulnerability to flooding?","authors":"Fabiha Rahman , Shampa , Sonia Binte Murshed , Mashfiqus Salehin , Faisal Mahmud Sakib , Erin Coughlan de Perez","doi":"10.1016/j.pdisas.2024.100389","DOIUrl":"10.1016/j.pdisas.2024.100389","url":null,"abstract":"<div><div>Forecast-based financing (FbF) is gaining traction globally in the humanitarian sector as a critical tool for reducing disaster risk. Global and national literature on FbF mainly shed light on the effectiveness in reducing household-level vulnerability without a particular focus on women's specific vulnerability. This study uses qualitative methods to analyze rural Bangladeshi women's riverine flood challenges and whether the FbF has reduced their vulnerability to flooding. The study was conducted in two distinct geographical settings in northern Bangladesh: <em>Charland</em> (river island) and Mainland, without flood embankment protection. The findings reveal that FbF cash assistance primarily aided rural women in reducing the financial vulnerability of their households. Spending the cash assistance on buying food and boat evacuation directly benefits women and men alike and reduces the need for taking loans. However, no spending was made on women's personal utility and safety needs before, during, and after the flood. <em>Charland</em> and Mainland females faced barriers to basic utility and hygiene services, with <em>Charland</em> women faring slightly better. Our findings suggest that existing rural socio-cultural norms, cash disbursement timing, and other factors influenced women's cash aid anticipatory action choices, and the humanitarian actors and recipients should coordinate to improve the situation.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100389"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An integrated coastal exposure modelling approach to assist mangrove ecosystem based disaster risk reduction (Eco-DRR) in Tamil Nadu, India

IF 2.6

Progress in Disaster Science Pub Date : 2024-12-01 DOI: 10.1016/j.pdisas.2024.100388

Pankaj Singha , Rajarshi Dasgupta , Shizuka Hashimoto , Bijon Kumer Mitra

{"title":"An integrated coastal exposure modelling approach to assist mangrove ecosystem based disaster risk reduction (Eco-DRR) in Tamil Nadu, India","authors":"Pankaj Singha , Rajarshi Dasgupta , Shizuka Hashimoto , Bijon Kumer Mitra","doi":"10.1016/j.pdisas.2024.100388","DOIUrl":"10.1016/j.pdisas.2024.100388","url":null,"abstract":"<div><div>This paper attempts to measure the role of the mangrove ecosystem in minimizing coastal exposure using the InVEST (V3.9.0) Coastal Vulnerability Assessment (CVA) model in Tamil Nadu, India. The result depicts that the exposure value of the Tamil Nadu coastal stretch varies from 1.71 to 4.78 on a five-point scale. More than half of the coastal segments in Tamil Nadu have high to very high exposure, whereas nearly 10 % of the coastal segments are recorded under very low exposure. The model demonstrated that having the existing mangrove patches in the Pichavaram and Muthpet regions significantly reduces the exposure value from 3.47 to 2.80 and 4.78 to 2.10, respectively. Further, the present study modelled the impact of future Sea Level Rise (SLR) on the mangrove ecosystems using a static inundation modelling approach under different Representative Concentration Pathways (RCPs). Results depict a significant loss of mangrove habitats from 9.55 % to 58.33 % and 20.88 % to 48.02 % for both the Pichavaram and Muthupet mangrove regions, respectively, by the end of this century (2100). Since the coastal hazards are expected to intensify, our results can benefit policymakers by highlighting the prioritized areas and location-specific interventions for fostering Ecosystem-based Disaster Risk Reduction (Eco-DRR) strategies.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100388"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing resilience to climate change: Addressing cascading risks within the energy, water and food nexus

IF 2.6

Progress in Disaster Science Pub Date : 2024-12-01 DOI: 10.1016/j.pdisas.2024.100390

Mohammad Zaher Serdar, Fatima-Zahra Lahlou, Tareq Al-Ansari

{"title":"Enhancing resilience to climate change: Addressing cascading risks within the energy, water and food nexus","authors":"Mohammad Zaher Serdar, Fatima-Zahra Lahlou, Tareq Al-Ansari","doi":"10.1016/j.pdisas.2024.100390","DOIUrl":"10.1016/j.pdisas.2024.100390","url":null,"abstract":"<div><div>The growing global demand for energy, water, and food presents a challenge to sustainable development. This challenge is further intensified by the expanding human population and the rapid pace of industrialization, which together exert intense pressure on these essential resources. Recent trends indicate a significant increase in energy usage, and it is expected that water and food requirements will also increase. Such pressures highlight the critical need to understand and manage the interconnected nature and associated risks, including cascading risks, within the energy, water, and food sectors. This study delves into the relationship between climate change risks and the Energy-Water-Food (EWF) nexus, assessing the diverse impacts of risk categories on distinct sectors. Furthermore, it expands on the concept of cascading risks, an area often overlooked, across two primary dimensions: hazards, which can evolve into cascading and compound hazards; and systems, where failures can propagate between interdependent systems or even within their own boundaries. Building on the reviewed concepts, a framework is proposed to quantify cascading performance within EWF nexus considering the dynamic interactions of the involved elements to reinforce their resilience.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100390"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143163465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Climate change increased risk of forest fire, winter storm and technical failure risks related to power transmission lines – a spatial GIS risk assessment at Cologne district, Germany 气候变化增加的森林火灾、冬季风暴和输电线路技术故障风险--德国科隆地区的空间地理信息系统风险评估

IF 2.6

Progress in Disaster Science Pub Date : 2024-11-17 DOI: 10.1016/j.pdisas.2024.100387

Alexander Fekete , Udo Nehren

{"title":"Climate change increased risk of forest fire, winter storm and technical failure risks related to power transmission lines – a spatial GIS risk assessment at Cologne district, Germany","authors":"Alexander Fekete , Udo Nehren","doi":"10.1016/j.pdisas.2024.100387","DOIUrl":"10.1016/j.pdisas.2024.100387","url":null,"abstract":"<div><div>In Central Europe, climate change is increasing the frequency and intensity of extreme events and weather variability. We need to better understand the interrelations between natural hazards and related extreme events and their impacts on gray, blue, and green infrastructures. According to literature research, a broad spectrum of hazard impacts can lead to transmission line and tower failures in Germany. A spatial assessment in a case study area in western Germany, using a geographic information system reveals the spatial exposure of forests, settlements, roads, rail, and waterways to transmission line failure. The main purpose of this study is to map this spatial exposure risk. In some districts, there is a higher risk of forest fires ignited by dropping transmission lines and impacts of winter storms or earthquakes.</div><div>The result indicates that better integration of climate change and other natural, technical, and man-made hazards is required and needs to be researched. We also need to better understand the linkages with critical infrastructure, such as emergency management, and the different cascades of impact on primary, secondary, and tertiary infrastructure.</div><div>The findings can inform fellow scientists, planners, and practitioners on better capturing and applying interconnected risks through spatial assessments. Moreover, the results can also inform operators and emergency managers on preparing for rare and unexpected risks.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100387"},"PeriodicalIF":2.6,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries 利用网络搜索查询阐明 2024 年能登半岛地震不断变化的信息需求

IF 2.6

Progress in Disaster Science Pub Date : 2024-11-15 DOI: 10.1016/j.pdisas.2024.100386

Akira Kodaka , Akihiko Nishino , Takashi Kanno , Kaya Onda , Kota Tsubouchi , Shingo Suzuki , Shuji Yamaguchi , Naohiko Kohtake

{"title":"Elucidating ever-changing information needs for the 2024 Noto Peninsula Earthquake using web search queries","authors":"Akira Kodaka , Akihiko Nishino , Takashi Kanno , Kaya Onda , Kota Tsubouchi , Shingo Suzuki , Shuji Yamaguchi , Naohiko Kohtake","doi":"10.1016/j.pdisas.2024.100386","DOIUrl":"10.1016/j.pdisas.2024.100386","url":null,"abstract":"<div><div>The Noto Peninsula Earthquake that occurred on January 1, 2024, caused significant damage to the Noto Peninsula and surrounding areas. This study aims to contribute to evidence-based disaster response by identifying the information needs of the affected areas through a data-driven approach using web search queries. Specifically, the study focuses on the Oku-Noto region in Ishikawa Prefecture, which includes Wajima City, Suzu City, Anamizu Town, and Noto Town. By assigning anomaly scores to web search queries and applying statistical processing such as standardized scores, kurtosis, and skewness, this study elucidates the patterns of changes in information needs in the affected areas. From January 1, 2024, to June 23, 2024, a total of 15,107 search queries were extracted based on anomaly scoring, and 4790 queries were obtained after filtering out irrelevant data. These search queries were classified into five categories: “Hazard and Situation,” “Transportation,” “Critical Infrastructure,” “Coping and Recovery,” and “Daily Life.” The analysis revealed two distinct periods—around 10 days and one month after the disaster—where significant changes in the nature of information needs were observed. Furthermore, information needs related to “Transportation,” particularly road and traffic information, were relatively high, with a notable emphasis on the Noto Satoyama Kaido and Kanazawa Station.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100386"},"PeriodicalIF":2.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fire risk vulnerability and safety assessment of Farmgate area using fire risk index, Dhaka City and optimization of fire hydrant placement 利用火灾风险指数对达卡市 Farmgate 地区进行火灾风险脆弱性和安全评估，并优化消火栓布置

IF 2.6

Progress in Disaster Science Pub Date : 2024-11-02 DOI: 10.1016/j.pdisas.2024.100384

Asim Abrar, A.S.M. Maksud Kamal, Abul Kashem Faruki Fahim

{"title":"Fire risk vulnerability and safety assessment of Farmgate area using fire risk index, Dhaka City and optimization of fire hydrant placement","authors":"Asim Abrar, A.S.M. Maksud Kamal, Abul Kashem Faruki Fahim","doi":"10.1016/j.pdisas.2024.100384","DOIUrl":"10.1016/j.pdisas.2024.100384","url":null,"abstract":"<div><div>This research addresses fire safety and assesses the vulnerability to fire hazards in the Farmgate area of Dhaka city employing Fire Risk Index (FRI) methodology. 16 key factors were identified from a comprehensive field survey for each building undergoing rigorous analysis for calculation of FRI value through weighting and scoring of each factor. The FRI values are divided into 5 grades of very high, high, moderate, low, and very low with a higher FRI value indicating better fire safety. The data analysis indicates that among all structures, 0.59 % exhibited a very high FRI, 5.35 % showed a high FRI, 17.24 % displayed a moderate FRI, 48.89 % had a low FRI, and 27.93 % had a very low FRI. Geographic Information System (GIS) tools were employed to spatially to optimize fire hydrant placement using data integration and strategic analysis in high-risk areas. By ensuring efficient resource utilization, this research aims to implement fire prevention approaches and serve as a foundational resource for stakeholders, including landowners, residents, and policymakers, to fortify risk awareness and improve overall fire safety protocols. Ultimately, this research aims to foster resilient urban environments, improving disaster preparedness not only in Dhaka but also in similar high-risk areas worldwide.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100384"},"PeriodicalIF":2.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142593353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood 利用 Twitter 数据和人口 GPS 数据的小网格城市洪水预测模型--以 2019 年长野市洪水为例

IF 2.6

Progress in Disaster Science Pub Date : 2024-11-02 DOI: 10.1016/j.pdisas.2024.100385

Yifan Yang, Naoki Ohira, Hideomi Gokon

{"title":"Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood","authors":"Yifan Yang, Naoki Ohira, Hideomi Gokon","doi":"10.1016/j.pdisas.2024.100385","DOIUrl":"10.1016/j.pdisas.2024.100385","url":null,"abstract":"<div><div>In this study, a small-grid urban flood prediction model integrating Twitter data and population GPS data was constructed using the 2019 Nagano City flood as an example, and the validity of these two data for the model was determined. Using natural language processing techniques, Twitter data was filtered to extract real-time information relevant to flooding. At the same time, geographic information processing techniques were applied to analyze the population GPS data and obtain the distribution of the local population. Based on these two types of data, we combined with terrain, land use, traffic and infrastructure data related to flooding, a real-time flood prediction model was constructed using the random forest algorithm with a basic unit of a 70 m × 70 m grid. An analysis of the model accuracy showed that, the model that included both GPS and Twitter data showed an improvement in prediction accuracy of about 8% compared to flood prediction models that do not have these data sources. This indicated that the integrated use of Twitter and GPS data allowed us for a more accurate representation of the dynamic characteristics of flood disasters, thereby improving the performance of real-time flood prediction models and increasing real-time awareness of flood events. This approach provided effective flood monitoring methods for disaster management authorities.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100385"},"PeriodicalIF":2.6,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142656724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving community understanding of cascading effects of critical infrastructure service failure: An experimental interactive learning process 提高社区对关键基础设施服务故障级联效应的认识：实验性互动学习过程

IF 2.6

Progress in Disaster Science Pub Date : 2024-10-22 DOI: 10.1016/j.pdisas.2024.100383

Deepshikha Purwar, Johannes Flacke, Richard Sliuzas

{"title":"Improving community understanding of cascading effects of critical infrastructure service failure: An experimental interactive learning process","authors":"Deepshikha Purwar, Johannes Flacke, Richard Sliuzas","doi":"10.1016/j.pdisas.2024.100383","DOIUrl":"10.1016/j.pdisas.2024.100383","url":null,"abstract":"<div><div>Effective disaster preparedness relies on the community's understanding of hazards and risks, emphasizing the need to address cascading effects from critical infrastructure failures due to natural hazards. Understanding cascading effects in communities facing multiple hazards is crucial due to the increasing complexity of critical infrastructure (CI) services. Limited awareness can amplify vulnerabilities and socioeconomic losses, and thus capacity building at the community level is essential for reducing hazard risks. This study utilized an interactive learning process (ILP), a participatory approach to engage the community in sharing experiences and building coping capacity for cascading effects. ILP was facilitated through facilitator-learner interaction and participatory exercises, aided by visualisation tools that enriched the learning experience of participants. The use of visualisation tools in ILP simplified comprehension of intricate interdependencies, helping participants to brainstorm and think critically to explore potential solutions. We explore the effectiveness of three visualisation tools that support the ILPs in improving community understanding of the cascading effects. Through experimentation and comparison, insights are gained into how learners engage with different ILPs and their impact on overall learning outcomes. The study concluded by selecting the visualisation tool supporting ILP that was effective in fostering engagement, improving understanding, and promoting knowledge retention.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"24 ","pages":"Article 100383"},"PeriodicalIF":2.6,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142561340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0