Search Results (11)

This study investigates flood risk trends using rainfall data collected from 13 districts of Diyarbakır Province, Turkey, with a focus on supporting sustainability-oriented climate adaptation. Both annual and seasonal precipitation variations were examined, with particular emphasis on the role of maximum daily rainfall in driving flood potential. In addition, the analysis integrates extreme precipitation patterns with regional hazard characteristics to provide a more comprehensive flood risk assessment framework. Non-parametric statistical methods, including the Mann–Kendall trend test and Spearman’s Rho correlation, were applied to detect trends in annual and seasonal datasets. Flood magnitudes were estimated using the Generalized Extreme Value (GEV) and Peaks Over Threshold (POT) approaches. The dataset covers varying periods between 2009 and 2023, depending on station availability. The results show a statistically significant increase in both annual and winter precipitation at Bismil, and a significant winter increase at Çermik. Other stations displayed upward trends that were not statistically significant. Çüngüş, Lice, and Kulp were identified as particularly susceptible to extreme rainfall. Although the relatively short observation period poses a limitation, consistent patterns of intensified precipitation were detected. Previous studies in Turkey have demonstrated that such events often cause severe infrastructure damage and displacement of vulnerable communities. The findings of this study provide practical insights for national and regional authorities, including the Disaster and Emergency Management Authority (AFAD), the General Directorate of State Hydraulic Works (DSİ), and the Ministry of Environment, Urbanization, and Climate Change, to strengthen sustainable climate adaptation planning and disaster risk reduction strategies. Overall, this research highlights the importance of integrating extreme precipitation analysis into sustainable flood management, resilient infrastructure development, and long-term sustainability policies, thereby reinforcing the connection between hydrological risk assessment and sustainability science. Full article

In light of mounting concerns regarding community safety, this study undertakes a comprehensive examination of the role of convenience stores in Taiwan as pivotal conduits for social safety. Through a meticulous analysis of the extant literature and informal conversational interview conducted in both urban and rural settings, this study elucidates the manner in which these commercial establishments have assumed a pivotal role in enhancing the social safety net within local communities. The findings of this study demonstrate that convenience stores have been instrumental in providing frontline assistance during emergencies and natural disasters, thereby fostering a sense of community cohesion through their provision of essential day-to-day services. Moreover, this study underscores the manner in which the inherent characteristics of convenience stores contribute to the sustainability of communities. For instance, the promotion of environmental practices and the reduction of travel-related carbon emissions enhance not only the resilience of communities but also of local spaces. Moreover, the employment strategy of having convenience stores in local areas has a beneficial effect on the local economy and local employment levels. Convenience stores provide employment opportunities close to home, which in turn enhances residents’ safety and economic stability. These findings suggest that convenience stores have untapped potential for community safety and development. The contribution of this study is to highlight the multiple roles of convenience stores through empirical research and to provide a reference for policymakers to better integrate the positive characteristics of retail networks into the social security system. Full article

Network management and troubleshooting require not only a grasp of advanced concepts but also the development of analytical and problem-solving skills. To bridge this gap, this paper introduces a novel network administration system, DRACSC (Spanish acronym for device for automatic recovery and configuration of communication systems), designed for the automatic configuration and disaster recovery of communication equipment. This system transcends the limitations of current hardware and software solutions by combining their advantages, boasting portability, automated functions, and a cloud-based repository as its main features. The DRACSC system, undergoing a comprehensive large-scale evaluation involving diverse user groups across multiple institutions, was tested with 89 users, including students and teachers at educational centers and ICT (Information and Communication Technology) professionals. The benefits of the system were evaluated through a training program based on simulated real-world ICT environments, focusing on both quantitative results on the reduction in time to complete user tasks, as well as qualitative results on the interface and usability of the system. Statistical analysis, including Welch’s t-test on opinion surveys, indicated a significant increase in knowledge and understanding, demonstrating the system’s potential to enhance education and practice. Moreover, the evaluation shed light on the user experience, with positive impacts observed for learning and teaching implications. As a result, the study has verified that the system has the potential to significantly influence network management practices, enhancing both learning and professional application through improved efficiency and usability. Full article

The development of sponge cities advocates for sustainable urban rainwater management, effectively alleviating urban flood disasters, reducing non-point-source pollution, and promoting the recycling of rainwater resources. Low-Impact Development (LID) serves as a key strategy in this context, providing essential support for urban rainwater control and pollution reduction. To investigate the runoff control effects of LID measures and to reveal the relationship between facility runoff control performance and installation scale, this study focuses on a sponge community in Beijing. A SWMM model was constructed to analyze the rainwater flood control and pollutant load reduction effects of different LID facilities, including bio-retention cells, green roofs, and permeable pavements. Using evaluation indicators such as surface runoff, node overflow, and pollutant control rates, this study examined how facility performance varies with installation scale under different rainfall conditions. The combination scheme of LID equipment optimal configuration is designed by using multiple criteria decision analysis (MCDA) and cost–benefit theory. The results indicate significant differences in performance among the various LID facilities across different rainfall scenarios. Specifically, the optimal installation proportion for runoff and overflow control of permeable pavements were found to be between 30% and 70%. Green roofs demonstrate superior performance in handling extreme rainfall events, while bio-retention cells exhibit significant effectiveness in controlling Total Suspended Solids (TSSs). Through comprehensive performance evaluation, this study identified the optimal combination scale under a 3-year rainfall recurrence interval as 30% permeable pavements, 20% green roof, and 60% bio-retention cells. This combination effectively leverages the strengths of each facility, ensuring system stability and efficiency while also demonstrating optimal management efficiency in cost–benefit analyses. The findings of this research provide valuable insights for future urban water management and infrastructure development. Full article

Community risk and resilience to high-latitude wildfires has received limited conceptual attention, with a comprehensive, integrated framework that unpacks the complex human–fire–climate relationship in high-latitude environments largely missing. In this paper, we use insights from both the climate change adaptation and disaster risk reduction literature to build a conceptual framework to understand the factors and dynamics of risk and resilience to wildfires at the community level in high-latitude regions. Using an illustrative case study, the framework demonstrates how unique social and ecological features of high-latitude communities elevate their risk of wildfires and emphasizes the need to think holistically about the different spatial–temporal interactions and interdependencies between fire, humans, and climate in these regions. We find that remoteness, indigeneity, subsistence-based activities, and colonial practices, along with accelerated climate warming, are notable features influencing community risk and resilience to wildfires in high-latitude regions. This framework can help unravel the complex nature of wildfires, guide stakeholders through each phase of the disaster process, and facilitate the development and design of wildfire-related policies and strategies in high-latitude regions. Full article

In recent years, there has been a growing interest in the concept of trust within the domain of natural disaster management. Trust can be defined as a state of vulnerability where one party relies on another party with the expectation that the latter will carry out entrusted responsibilities without exploiting this inherent vulnerability. This comprehensive literature review is dedicated to the examination of research concerning community and institutional trust in the field of disaster risk reduction (DRR). Particular emphasis is placed on elucidating the influence of trust throughout the distinct phases of natural disaster management, namely prevention, preparedness, response, and recovery. The critical examination of the pertinent body of the literature demonstrates that trust plays a central role across the different phases of DRR, being positively associated with effective community responses and resilience. Hence, it becomes imperative to actively foster the development of trust at both institutional and community levels within the realm of DRR. This endeavor is essential for adequately preparing communities to confront natural disasters, crafting effective protocols to enhance community responsiveness and mitigate adverse consequences, and advancing strategies for successful reconstruction and recovery. Full article

Geohazards pose significant risks to communities and infrastructure, emphasizing the need for accurate susceptibility assessments to guide land-use planning and hazard management. This study presents a comprehensive method that combines Variable Weight Theory (VWT) with Analytic Hierarchy Process (AHP) to assess geo-environment vulnerability based on susceptibility to various geohazards. The method was applied to the Pearl River Delta in China, resulting in the classification of areas into high vulnerability (5961.85 km²), medium vulnerability (19,227.93 km²), low vulnerability (14,892.02 km²), and stable areas (1616.19 km²). The findings demonstrate improved accuracy and reliability compared to using AHP alone. ROC curve analysis confirms the enhanced performance of the integrated method, highlighting its effectiveness in discerning susceptibility levels and making informed decisions in hazard preparedness and risk reduction. Additionally, this study assessed the risks posed by geohazards to critical infrastructures, roads, and artificial surfaces, while discussing prevention strategies. However, this study acknowledges certain limitations, including the subjective determination of its judgment matrix and data constraints. Future research could explore the integration of alternative methods to enhance the objectivity of factor weighting. In practical applications, this study contributes to the understanding of geo-environment vulnerability assessments, providing insight into the intricate interplay among geological processes, human activities, and disaster resilience. Full article

Establishing the National Comprehensive Disaster-Reduction Demonstration Community (NCDDC) is crucial for enhancing comprehensive disaster risk reduction at the grassroots level in China. Studying the distribution characteristics and influencing factors of NCDDCs can guide future NCDDC layout optimization and related policy adjustments. Using the standard deviation ellipse, nearest neighbor index, kernel density, spatial autocorrelation, and Geodetector, we analyzed the spatiotemporal distribution characteristics of NCDDCs in China from 2008 to 2021 and detected their influencing factors. The findings are as follows: (1) NCDDCs exhibit an uneven distribution at different scales, including spatial, urban–rural, and county scales. (2) The spatial distribution of NCDDCs mainly follows a northwest–southeast pattern during 2008–2014 and shows a northeast–southwest trend after 2014. (3) The positive spatial correlation and spatial agglomeration of NCDDCs increase annually. (4) NCDDCs show a concentrated and contiguous distribution pattern in 2021, based on “core density zone–ring-core decreasing area–ring-core expansion group–Ɔ-shaped area–belt-shaped area”. (5) The main factors affecting the NCDDC distribution are hospital density, road density, GDP density, and population density, with factors’ interactions exhibiting bilinear and nonlinear enhancement effects. This study reveals the NCDDC spatiotemporal distribution characteristics and its influence mechanism, providing a scientific basis for future NCDDC layout optimization and related policy adjustments. Full article

A comprehensive disaster-reduction demonstration community (CDRDC) is imperative for building community resilience when confronted with disasters. However, the temporal characteristics and spatial heterogeneity of CDRDC in China are rarely involved in relevant research, and the influencing factor selection dimension is relatively singular. Based on the list of CDRDCs in China from 2008 to 2020, this study analyzed the spatial–temporal evolution pattern of CDRDCs at different scales and explored the correlation between CDRDCs and influencing factors such as population, GDP, disaster frequency and natural disaster risk. We also deduced the theoretical distribution and the key development areas of CDRDCs, analyzed the problems faced by the establishment of CDRDCs in different regions of China, and put forward targeted optimization countermeasures for community-based disaster mitigation. The results are as follows: (1) The distribution of CDRDCs shows significant regional differences, with 50% concentrated in the eastern region. (2) The number of CDRDCs is closely related to population, GDP, and natural disaster risk, but it has a poor correlation with disaster frequency. (3) The capital circle, the Yangtze River Delta, the Pearl River Delta, eastern Fujian, and eastern Hubei will be the key development areas of CDRDCs in the future. The research results can provide a theoretical basis and technical support for the layout optimization of CDRDCs in China. Full article

A community is the basic unit of a city. Scientific and effective evaluations of the construction effect of safe communities can improve the construction capacity of community disaster prevention and mitigation; it is also the basis for improving urban public safety and realizing stable and sustainable urban operation. First, following the development framework of a safe community and taking two typical communities in Xi’an, China, as examples, based on the literature and expert opinions, the initial indicators of a safe community are determined. Second, based on existing data, the literature and expert opinions, a questionnaire is designed, and the reliability and validity of the questionnaire are tested by exploratory factor analysis. Third, the indicators for evaluating the construction ability of a safe community are selected. Finally, an evaluation model of the construction ability of safe communities is constructed by using the comprehensive weighting technique for order of preference by similarity to the ideal solution (TOPSIS), which is applied to the actual evaluation of eighteen representative communities in Xi’an. The main findings are as follows. (1) The sense of community security is the collective consciousness of community residents. It includes not only the security and feelings of community residents themselves, but also the cognition of the impact of social policies at the macro and micro-levels on community residents, their families, and even the whole community. (2) From the three levels of consciousness, technology, and policy as the starting points for the construction of the theoretical model of a safe community, organizational resilience, accessibility resilience, social environmental resilience, and capital resilience are found to be the main influencing factors in the construction of a safe community. (3) Using questionnaires and expert interviews to preliminarily screen evaluation indicators and using the comprehensive weighting TOPSIS method to build an evaluation model can effectively avoid the defects of traditional empirical research on the validity and reliability of methods. (4) The ranking of the eighteen representative communities in the empirical analysis is basically consistent with the selection results of the national comprehensive disaster reduction demonstration community, which indicates the effectiveness and accuracy of the indicators and algorithms. Full article

The COVID-19 pandemic has immensely affected economic and social order in not only China but the entire world, seriously threatening peoples’ lives and property. In China’s fight against COVID-19, the community is at the front line of joint prevention and control of the disease, yet it faces the problem of insufficient resilience. We explored the manifestations and formation mechanism of the problem of insufficient resilience in community public health crisis governance, based on the complex adaptive system theory, which emphasizes interaction among subjects and between subjects and the environment to improve the adaptability to the environment. Questionnaires and in-depth interviews were conducted in 28 counties (districts) of 14 cities of 7 provinces in China; 2345 questionnaires and 71 interview data were collected, and we conducted descriptive statistical analysis on questionnaire data. It is found that some communities faced insufficient resilience problems such as “simply isolating households and communities”, “blindly setting limits”, “layer-by-layer law”, and “rejecting and repelling all individuals from or even related to Hubei”. These problems are due to the fact that the community have a non-interactive relationship, which is a one-dimensional linear governance model to some extent. The legal content of the building of a “comprehensive disaster-reduction demonstration community” implemented by the Chinese government is compelled to stay at the level of system design to some extent, with its existence playing an ornamental role but lacking a substantial one. In this regard, this study suggests that a resilient governance model of community pluralistic cooperation be established based on the theoretical framework of complex adaptive system. This model is designed to increase the resilience of community public health crisis governance. The authoritative role of central and local policies is expected to be truly developed and played in dealing with the grassroots community public health crisis. Full article