A novel integrated Urban flood risk assessment approach coupling GeoDetector-Dematel and clustering method.

Urban flood risk assessment plays a crucial role in disaster prevention and mitigation. A scientifically accurate assessment and risk stratification method are of paramount importance for effective flood risk management. This study aims to propose a comprehensive urban flood risk assessment approach by coupling GeoDetector-Dematel and Clustering Method to enhance the accuracy of urban flood risk evaluation. Based on simulation results from hydraulic models and existing literature, the research established a set of urban flood risk assessment indicators comprising 10 metrics across two dimensions: hazard factors and vulnerability factors, among which vulnerability factors include exposure factors, sensitivity factors, and adaptability factors. Subsequently, the research introduced the GeoDetector-Dematel method to determine indicator weights, significantly enhancing the scientific rigor and precision of weight calculation. Finally, the research employed the K-means clustering method to risk zonation, providing a more scientifically rational depiction of the spatial distribution of urban flood risks. This novel comprehensive urban flood risk assessment method was applied in the Fangzhuang area of Beijing. The results demonstrated that this integrated approach effectively enhances the accuracy of urban flood risk assessment. In conclusion, this research offers a new methodology for urban flood risk assessment and contributes to decision-making in disaster prevention and control measures.

Classifying disaster risk reduction strategies: conceptualizing and testing a novel integrated approach.

BACKGROUND: Although disaster risk reduction (DRR) addresses underlying causes and has been shown to be more cost-effective than other emergency management efforts, there is lack of systematized DRR categorization, leading to insufficient coherence in the terminology, planning, and implementation of DRR. The aim of this study was to conceptualize and test a novel integrated DRR framework that highlights the intersection between two existing classification systems. METHODS: Grounded theory was used to conceptualize a novel DRR framework. Next, deductive conceptual content analysis was used to categorize interventions from the 2019 Cities100 Report into the proposed DRR framework. The term "connection" indicates that an intervention can be categorized into a particular section of the novel integrated approach. A "connection" was determined to be present when the intervention description stated an explicit connection to health and to the concept within one of the categories from the novel approach. Further descriptive statistics were used to give insight into the distribution of DRR interventions across categories and into the application of the proposed framework. RESULTS: The resulting framework contains nine intersecting categories: "hazard, prospective", "hazard, corrective", "hazard, compensatory", "exposure, prospective", "exposure, corrective", "exposure, compensatory", "vulnerability, prospective", "vulnerability, corrective", and "vulnerability, compensatory". The thematic analysis elucidated trends and gaps in the types of interventions used within the 2019 Cities100 Report. For instance, exposure-prospective, exposure-compensatory, and vulnerability-compensatory were the most under-utilized strategies, accounting for only 3% of the total interventions. Further descriptive statistics showed that upper middle-income countries favored "hazard, corrective" strategies over other DRR categories while lower middle-income countries favored "exposure, corrective" over other DRR strategies. Finally, European cities had the highest percentage of DRR connections (51.39%) compared to the maximum possible DRR connections, while African cities had the lowest percentage of DRR connections (22.22%). CONCLUSIONS: The study suggests that the proposed DRR framework could potentially be used to systematically evaluate DRR interventions for missing elements, aiding in the design of more equitable and comprehensive DRR strategies.

Flood economic vulnerability and risk assessment at the urban mesoscale based on land use: A case study in Changsha, China.

With climate change and urbanization, flood disasters have significantly affected urban development worldwide. In this study, we developed a paradigm to assess flood economic vulnerability and risk at the urban mesoscale, focusing on urban land use. A hydrological simulation was used to evaluate flood hazards through inundation analyses, and a hazard-vulnerability matrix was applied to assess flood risk, enhancing the economic vulnerability assessment by quantifying the differing economic value and flood losses associated with different land types. The case study of Wangchengpo, Changsha, China, found average total economic losses of 126.94 USD/m2, with the highest risk in the settlement core. Residential areas had the highest flood hazard, vulnerability, and losses (61.10% of the total loss); transportation areas accounted for 27.87% of the total economic losses due to their high flooding depth. Despite low inundation, industrial land showed greater economic vulnerability due to higher overall economic value (10.52% of the total). Our findings highlight the influence of land types and industry differences on flood vulnerability and the effectiveness of land-use inclusion in urban-mesoscale analyses of spatial flood characteristics. We identify critical areas with hazard and economic vulnerability for urban land and disaster prevention management and planning, helping to offer targeted flood control strategies to enhance urban resilience.

Cognitive Interview Validation of a Novel Household Hazard Vulnerability Assessment Instrument.

BACKGROUND: Weather and climate disasters are responsible for over 13 000 US deaths, worsened morbidity, and $1.7 trillion in additional costs over the last 40 years with profound racial disparities. OBJECTIVES: This project empirically generated items for a novel survey instrument of household hazard vulnerability with initial construct validation while addressing racial bias in the data collection process. METHODS: Cognitive interviews facilitated understanding regarding the performance of drafted survey questions with transdisciplinary expert panelists from diverse US regions on unique hazard/disaster/event items. To prevent representation bias in data collection, those with Black and/or African American racial, biracial, or multiracial identities were over-sampled. Interview video recordings were qualitatively analyzed using thematic and pattern coding. RESULTS: A cognitive process mapped to themes of disaster characteristics, resources, individual life facets, and felt effects was revealed. We identified 379 unique instances of linked terms as synonyms, co-occurring, compounding, or cascading events. Potential for racial bias in data collection was elucidated. Analysis of radiation exposure, trauma, and criminal acts of intent items revealed participants may not interpret survey items with these terms as intended. CONCLUSION: Potential for racial bias exists relative to water dam failure, evacuation, external flood, suspicious packages/substances, and transportation failure. Hazard terms that were not interpreted as intended require further revision in the validation process of individual or household disaster vulnerability assessments. Several commonalities in the cognitive process and mapping of disaster terms may be utilized in disaster and climate change research aimed at the individual and household unit of analysis.

How Should Organizations and Clinicians Help Marginalized Patients Manage Loneliness as a Harm of Climate Change?

This commentary on a case outlines 4 interventions that would help to prevent or mitigate illness and attendant loneliness affecting vulnerable patients during extreme weather events. It suggests that an individualistic approach to the collective problem of climate change is inadequate and that health professionals and health organizations should (1) transition from reactive climate change strategies to integrating disaster preparedness into daily operations and (2) advocate for changes in society that address harms and begin to mitigate the negative effects of climate change, especially on marginalized people.

Challenges and perspectives in applying the environmental sensitivity index to pipelines: a review on the prevention and management of oil spills disasters.

The oil spill environmental sensitivity index is a key tool for preventing and dealing with environmental disasters caused by oil spills. This study aims to review the available literature on the subject and highlight the importance of methodological advances to improve how the index is applied in continental areas, especially in regions crossed by pipelines. Most current mapping techniques focus on coastal areas and fail to consider the stretches of land that are vulnerable to geodynamic natural disasters. In this context, the need to implement environmental sensitivity indices specific for pipelines has become urgent. This study also presents an overview of the main accidents around the world and a detailed analysis of the history of Brazilian disasters related to oil spills along continental stretches, with a focus on pipelines and natural disasters. In addition, this work highlights the importance of carrying out new research in mountainous areas of Brazil and is aimed at preventing Natechs (natural hazard triggering technological disasters) and improving contingency plans. As a result, several pathways have been identified, which involves the necessity of resolving gaps in terrestrial environmental sensitivity mapping methodologies, particularly as applied to pipelines. Furthermore, solutions must be capable of integrating terrestrial, fluvial, coastal, and maritime environmental sensitivity mapping techniques. Moreover, the need to implement dynamic risk monitoring systems in real time is critical to help manage such a complex problem.

Disaster management and environmental policy integration in Pakistan - an evaluation with particular reference to the China-Pakistan Economic Corridor Plan.

Economic and social development, the state of the environment and a propensity for disasters are closely intertwined. Therefore, environmental policy integration (EPI) across development and disaster management (DM) policies and plans is important. Pakistan as a country is highly vulnerable to climate-induced environmental changes and associated disasters. In this paper, the extent to which its national environment and climate change policy, disaster risk reduction (DRR) policy as well as disaster management (DM) plans are aligned is established, based on a review of government documents and expert opinions. In this context, a particular emphasis is put on China's Belt and Road Initiative (BRI) that led the China-Pakistan Economic Corridor Plan (CPEC; 2017-2030). While environmental assessment (EA) is currently not conducted for any DM policies and plans, DM and EA are well integrated into provincial environmental protection acts, in national as well as most provincial DM plans. It is concluded that a regulatory framework to guide EPI in DM for BRI and CPEC projects is needed.

La Defensa Pasiva y su división médica de emergencia / Passive Defense and its emergency medical division / Passive Defence e sua divisão médica de emergência

Durante la Segunda Guerra Mundial el gobierno de Uruguay intentó prepararse para una eventual defensa militar del territorio y la defensa de la población civil en caso de sufrir ataques aéreos. La Defensa Pasiva, fue la estructura gubernamental que junto a la voluntad en todas las clases sociales, funcionó en todo el territorio nacional con la finalidad de proteger a la población civil de los ataques aéreos y guerra química, generando un espíritu de solidaridad a través de su División Médica de Emergencia.

During the Second World War, the government of Uruguay tried to prepare for an eventual military defense of the territory and the defense of the civilian population in case of air raids. The Passive Defense was the governmental structure that, together with the will of every social class, operated throughout the national territory with the purpose of protecting the civilian population from air raids and chemical weapons, generating a spirit of solidarity through its Emergency Medical Division.

Durante a Segunda Guerra Mundial, o governo uruguaio tentou se preparar para uma eventual defesa militar do território e para a defesa da população civil em caso de ataques aéreos. A Defesa Passiva era a estrutura governamental que, juntamente com a vontade de todas as classes sociais, operava em todo o território nacional com o objetivo de proteger a população civil de ataques aéreos e da guerra química, gerando um espírito de solidariedade por meio de sua Divisão Médica de Emergência.

Urban flood risk assessment characterizing the relationship among hazard, exposure, and vulnerability.

Risk assessment is an effective means to alleviate urban flood disasters and has attracted the attention of many studies. However, most previous studies about urban flood risk assessment often focused more on urban inundation area and depth, less on the inter-relationship of the components of risk. In this study, an urban flood risk assessment approach that characterizes the relationship among the three components of risk "hazard-exposure-vulnerability" (H-E-V) is developed. Firstly, eleven flood risk indicators are selected based on the flood simulation results of urban flood model and statistical data to establish the urban flood risk assessment index system. Then, the combination of analytic hierarchy process (AHP) and entropy weight method is employed to determine the weight of each indicator and the comprehensive urban flood risk is assessed. Most importantly, the coupling coordination degree model (CCDM) is used to reveal the relationship among H-E-V. After applying this method to Haikou city, China, the results show that the comprehensive effect and the coupling coordination degrees among H-E-V have a multidimensional impact on urban flood risk. For example, some sub-catchments, although at high risk of flooding, may experience a potential waste of resources. Urban flood assessment can be made more detailed and three-dimensional by comparing hazard, exposure, and vulnerability horizontally. Understanding and grasping the internal relationships among these three risk components can help implement flood prevention measures, optimize the allocation of flood prevention resources, and effectively reduce urban flood risks.

Longitudinal multiplexity and structural constraints of online emergency collaborative networks: A tale of two Chinese societies.

Drawing upon the concept of longitudinal multiplexity and the Institutional Collection Action (ICA) framework, this article conducts a longitudinal observation of online emergency collaborative networks (ECNs) built and sustained among organizational actors within Shenzhen and Hong Kong in response to Typhoon Mangkhut. In addition to investigating the multiplex relationships among three types of online ECNs (i.e., preparedness networks, response networks, recovery networks), this article takes a comparative approach to examining how the structural constraints imposed by distinct emergency management systems (EMSs) influence the network formation and evolution as the disaster evolves over time. Findings obtained from a series of inferential network analyses reveal that preexisting online collaborative ties formed at the disaster preparedness stage are important for increasing organizations' tendency to build and sustain online collaborations during disaster response and recovery. Moreover, the decentralized EMS in Hong Kong exhibits more effectiveness in facilitating online network changes during both transitional periods. These findings demonstrate a pressing need for emergency researchers and frontline communication managers to understand the dynamic relationships among online ECNs across different disaster phases and further explore potential opportunities to facilitate online emergency collaboration on a broader scale.

Debris flow susceptibility assessment based on information value and machine learning coupling method: from the perspective of sustainable development.

Accurately assessing the susceptibility of debris flow disasters is of great significance for reducing the cost of disaster prevention and mitigation, as well as disaster losses. Machine learning (ML) models have been widely used in the susceptibility assessment of debris flow disasters. However, these models often have randomness in the selection of non-disaster data, which can lead to redundant information and poor applicability and accuracy of susceptibility evaluation results. To address this issue, this paper focuses on debris flow disasters in Yongji County, Jilin Province, China; optimizes the sampling method of non-disaster datasets in machine learning susceptibility assessment; and proposes a susceptibility prediction model that couples information value (IV) with artificial neural network (ANN) and logistic regression (LR) models. A debris flow disaster susceptibility distribution map with higher accuracy was drawn based on this model. The model's performance is evaluated using the area under the receiver operating characteristic curve (AUC), information gain ratio (IGR), and typical disaster point verification methods. The results show that the rainfall and topography were found to be decisive factors in the occurrence of debris flow disasters, and the IV-ANN model established in this study had the highest accuracy (AUC = 0.968). Compared to traditional machine learning models, the coupling model produced an increase in economic benefit of about 25% while reducing the average disaster prevention and control investment cost by about 8%. Based on model's susceptibility map, this paper proposes practical disaster prevention and control suggestions that promote sustainable development in the region, such as establishing monitoring systems and information platforms to aid disaster management.

Responding to Disasters: Training Can Overcome Issues in Disaster Response.

Training can assist in overcoming gaps in disaster response. The National Institute of Environmental Health Sciences (NIEHS) Worker Training Program (WTP) funds a network of nonprofit organizations, or grantees, that deliver peer-reviewed safety and health training curricula to workers across a variety of occupational sectors. Grantees' experiences providing training for recovery workers after numerous disasters show the following issues need to be addressed to better protect the safety and health of recovery workers: (1) regulations and guidance documents not sufficient to protect workers; (2) protecting responders' health and safety which is a core value; (3) improving communication between responders and communities to assist in decision-making and guiding safety and health planning; (4) partnerships critical for disaster response; and (5) greater attention to protecting communities disproportionately affected by disasters. This article provides insight into addressing these recurring issues and utilizes them as part of a continuous quality improvement process for disaster responders that may help to reduce responder injuries, illness, and death during future disasters.

Ecological Risk Assessment of Geological Disasters Based on Probability-Loss Framework: A Case Study of Fujian, China.

Geological disaster could pose a great threat to human development and ecosystem health. An ecological risk assessment of geological disasters is critical for ecosystem management and prevention of risks. Herein, based on the "probability-loss" theory, a framework integrating the hazard, vulnerability, and potential damage for assessing the ecological risk of geological disasters was proposed and applied to Fujian Province. In the process, a random forest (RF) model was implemented for hazard assessment by integrating multiple factors, and landscape indices were adopted to analyze vulnerability. Meanwhile, ecosystem services and spatial population data were used to characterize the potential damage. Furthermore, the factors and mechanisms that impact the hazard and influence risk were analyzed. The results demonstrate that (1) the regions exhibiting high and very high levels of geological hazard cover an area of 10.72% and 4.59%, respectively, and are predominantly concentrated in the northeast and inland regions, often distributed along river valleys. Normalized difference vegetation index (NDVI), precipitation, elevation, and slope are the most important factors for the hazard. (2) The high ecological risk of the study area shows local clustering and global dispersion. Additionally, human activities have a significant influence on ecological risk. (3) The assessment results based on the RF model have high reliability with a better performance compared with the information quantity model, especially when identifying high-level hazard areas. Our study will improve research on the ecological risk posed by geological disasters and provide effective information for ecological planning and disaster mitigation.

Multi-Disaster Integrated Risk Assessment in City Range-A Case Study of Jinan, China.

Urban multi-disaster integrated risk assessment is an important part of urban sustainable development and territorial spatial planning. Based on the results of integrated risk assessment, the scientific and effective performance of disaster prevention and reduction can be effectively improved. This study determines a multi-disaster integrated risk assessment system. The system evaluates the hazard level of disasters, the exposure level of disaster bearing bodies, the vulnerability level of disaster bearing bodies, and the urban resilience level, and determines the city's integrated risk level on this basis. Taking Jinan as an example, the risk, exposure, vulnerability, resilience, and integrated risk level of Jinan City were analyzed. The results show that the system reasonably analyzes the multi-disaster integrated risk level, and according to the assessment results, countermeasures for disaster prevention and suggestions for territorial spatial planning were put forward.

Conflict Nephrology: War and Natural Disasters.

Access to care for patients with ESKD is frequently disrupted after natural disasters, public health crises, and human conflict. Emergency preparation can mitigate the risk of harm and improve outcomes. Before Hurricane Katrina in 2005, the United States was unprepared to assist patients facing disaster. We evaluate responses to Hurricane Katrina which caused unprecedented damage to health and property in the Gulf Coast. As a result of the multitude of identified problems with the national, local, and kidney-specific responses to Katrina, new systems were created that mitigated loss after Hurricane Sandy in 2012. The improved disaster response system was no match for the coronavirus disease 2019 pandemic; real-time changes worsened the effect on highly vulnerable populations, including patients with ESKD. Similarly, preparation can only mitigate the difficulties faced by patients with ESKD living in a war zone. Government agencies need to provide tools and dialysis centers need to educate patients. Beginning with steps implemented in the aftermath of Hurricane Katrina and augmented after Hurricane Sandy, every patient with ESKD and those who care for them must begin emergency preparations before the need arises. Recognizing that it is not possible to prepare for every possible emergency, our health care systems must be ready to adapt to our ever-changing world. After reviewing the responses to previous events, we suggest steps that should be considered to improve preparations for our uncertain future.