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Homestead windbreaks are used on the Ryukyu Islands to protect houses from the tidal water blowing from the sea, strong typhoons in the summer, and monsoonal winds in the winter. The homestead windbreak landscape is believed to have been established approximately 300 years ago in the Ryukyu Kingdom. Garcinia subelliptica (Fukugi in Japanese) was dominant in this windbreak landscape. These windbreaks vanished on several islands soon after World War II. Many trees were burned during the war and removed to extend village roads in rural and recent resort development projects. This study surveyed the present spatial distribution of the remaining homestead windbreaks and conducted a tree inventory survey. We recorded the location and characteristics of trees damaged by the powerful typhoon and tentatively explored the causes of tree and house damage through a case study of Yonaguni Island, where one of the world's biggest typhoons occurred. Homestead windbreaks facing the wind direction, tree characters of cavities, unsound branching, and combined tree trunks were the significant factors contributing to tree damage. The remnant homestead windbreak belts in Yonaguni Island were fragmented and not continuous and may not offer consistent wind protection since there are open gaps between the sections. It suggests windbreaks should be replanted in the direction of the wind, and regular checks of tree health and tree structure are needed to reduce typhoon damage. The results are used to propose guidelines for windbreak management and conservation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Natural Hazards & Environment (JNHE) / Doğal Afetler ve Çevre Dergisi (DACD) is the property of Artvin Coruh University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Urban development under a changing climate pose threats to heritage conservation, necessitating vigilant monitoring of human activities and natural disasters. This study proposes a dynamic monitoring and risk assessment technology aimed at identifying interferences to heritage sites along the Silk Road. The characterization of land use was investigated, and changes within the protected areas were extracted using an object-based deep learning method to reveal instances of human interference. Nighttime light changes were analyzed to assess socio-economic development in heritage regions and cross-referenced with results indicating human interference to examine the relationship between urban development and heritage conservation. Additionally, we extracted various environmental and climate variables to evaluate the risk of flood disasters for these heritage sites. The findings suggest that heritage sites along the Silk Road are generally in good condition. Nevertheless, the substantial increase in construction land highlights challenges in heritage conservation and economic development. This study highlights the importance of vegetation coverage and water diversion measures to prevent floods, emphasizing the effectiveness of space observation in identifying risks. Such observation can help the government manage and protect valuable sites, advancing heritage protection within the framework of sustainable development goals (SDGs).

AbstractSinkholes pose a significant hazard in Mexico City (CDMX), causing substantial economic damage. While the link between sinkhole formation and groundwater extraction has been studied, specific mechanisms vary by site. Our overall aim is to characterize the phenomenon of sinkholes in CDMX. To achieve this, we create a database with 13 influencing factors, including population density, well density, distance to faults, fractures, roads, streams, elevation, slope, clay thickness, lithology, subsidence rate, geotechnical zones, and soil texture. Sinkhole locations were obtained from CDMX’s Risk Atlas (2017–2019). We shaped a susceptibility map based on statistical regression methods derived from applying linear regression models. For the susceptibility map, results showed that 40% of variables are significantly correlated with sinkhole density. Despite the regression model explained 24% of sinkhole density variability, it helped choosing variables for the susceptibility map that correlate better (89.7%). Hence, we identified that the northeast CDMX was the most susceptible zone. Therefore, the compound assessment of environmental factors is useful for the evaluation of susceptibility maps to identify prone factors for the generation of sinkholes. This framework provides relevant information for better use of the territory throughout the development of public policies.

This study aimed to investigate the relationship between flood safety awareness and the vulnerability/resilience associated with flood damage, focusing on the characteristics of regions that have experienced floods. Specifically, this study addresses the following research questions: (1) How does flood safety awareness vary among regions with different levels of vulnerability and resilience? (2) What patterns emerge in the relationship between regional characteristics and residents' flood safety awareness? A fuzzy analysis was used by selecting structural and social indicators to analyze vulnerability and resilience. A survey was conducted for each region to assess flood safety awareness among residents. The analysis results showed that vulnerability and resilience exhibit three distinct patterns according to regional characteristics, which correspond to the flood safety awareness of residents. Regions with low vulnerability and high resilience demonstrated high safety awareness, whereas regions with high vulnerability and low resilience demonstrated low safety awareness. This study lies in its comparative analysis of flood safety awareness across different regional contexts and its use of fuzzy analysis to provide a nuanced understanding of vulnerability and resilience. This study accurately identifies problems and regional differences by analyzing vulnerability and resilience and establishing preventive measures that fit regional characteristics. Furthermore, this study provides a guideline for suggesting effective disaster response strategies, contributing new insights into disaster preparedness and community resilience.

Starting on 2 November 2023, some territories in the Region of Tuscany in Italy were hit by exceptionally intense meteorological and calamitous events. The Region of Tuscany’s government was immediately at the forefront of relief, assisting the population, and aiding restoration. On 3 November, a national state of emergency was declared due to flooding. Journalistic communication is an essential aspect of disaster mitigation, preparedness, response and recovery. In terms of protecting people and reducing damage, journalists and the media have an important role to play. This article reports an Italian case study analysing the behaviour of local media in cases of natural disaster. Nine focus groups were conducted with local journalists covering the flood emergency. The results highlight the role of social and institutional mediation, rather than mere dissemination, played by the local press in emergency situations, a central element in the construction of a community bond, precisely in moments of insecurity and disorientation. The narration of a disaster from the inside seems to have allowed the emergence and representation of hitherto unknown social realities in Tuscany. The goal of the news coverage was widened, making it possible to respond better to the diverse interests of the reading public and to satisfy in a short time and exhaustively the information needs of individual communities in difficulty.

Abstract Background Floods are the most frequent weather-related disaster, causing significant health impacts worldwide. Limited studies have examined the long-term consequences of flooding exposure. Methods Flood data were retrieved from the Dartmouth Flood Observatory and linked with health data from 499,487 UK Biobank participants. To calculate the annual cumulative flooding exposure, we multiplied the duration and severity of each flood event and then summed these values for each year. We conducted a nested case-control analysis to evaluate the long-term effect of flooding exposure on all-cause and cause-specific mortality. Each case was matched with eight controls. Flooding exposure was modelled using a distributed lag non-linear model to capture its nonlinear and lagged effects. Results The risk of all-cause mortality increased by 6.7% (odds ratio (OR): 1.067, 95% confidence interval (CI): 1.063–1.071) for every unit increase in flood index after confounders had been controlled for. The mortality risk from neurological and mental diseases was negligible in the current year, but strongest in the lag years 3 and 4. By contrast, the risk of mortality from suicide was the strongest in the current year (OR: 1.018, 95% CI: 1.008–1.028), and attenuated to lag year 5. Participants with higher levels of education and household income had a higher estimated risk of death from most causes whereas the risk of suicide-related mortality was higher among participants who were obese, had lower household income, engaged in less physical activity, were non-moderate alcohol consumers, and those living in more deprived areas. Conclusions Long-term exposure to floods is associated with an increased risk of mortality. The health consequences of flooding exposure would vary across different periods after the event, with different profiles of vulnerable populations identified for different causes of death. These findings contribute to a better understanding of the long-term impacts of flooding exposure.

Abstract Background An earthquake with a magnitude of 7.7 occurred in Pazarcık District of Turkey at 04.17 on February 6, 2023 and another earthquake of 7.6 occurred at 13.24 on the same day. This is the second largest earthquake to have occurred in Turkey. The aim of this study is to investigate the earthquake-related level of knowledge, attitudes and behaviours, general health and psychological status of survivors who were affected by the 2023 Kahramanmaraş Earthquake and who were living in Nurdağı District of Gaziantep after the earthquake. Methods Data of 2317 individuals older than 18 years of age who were living in earthquake neighbourhoods, tents and containers in Nurdağı District of Gaziantep were examined. Variables were evaluated to find out the demographic characteristics and general health status of earthquake victims. General Health Questionnaire (GHQ-12) was used to find out psychological states of earthquake victims. Results The rate of injuries was 14.2% and leg and foot injuries were the most common with 44.2%. The relationship between injury status; and age, marital status, and being trapped under debris was revealed (p

BackgroundThe effects of climate change are seen with a rise of extreme weather and climate events (EWCEs) which lead to the closures of many healthcare facilities, such as community pharmacies. Pharmacists in community pharmacies are seen as the most accessible healthcare professional to the public and are responsible for the continued delivery of care to patients. However, amid closures due to EWCEs and the emergence of pharmacy deserts, there is decreased access to pharmacies and a disruption of care.ObjectiveIt is important to address the preparedness and accessibility of pharmacies post-EWCEs to guide future research and policy. Additionally, to tackle health disparities that arise due to pharmacy deserts, the populations most affected by a decreased access to pharmacies should be identified. We conducted a scoping review to assess the preparedness and accessibility of pharmacies post-EWCEs and to identify populations most affected by pharmacy deserts.MethodsWe searched PubMed, Embase, and Web of Science from January 1, 2012 to September 30, 2022 and included all English-language, peer-reviewed primary literature that examined the preparedness and accessibility of community pharmacies in the United States post-EWCEs and addressed disparities within pharmacy deserts. Studies meeting these criteria were screened of their titles and abstracts by the first author and discrepancies were resolved with co-authors. We used Covidence for data extraction.ResultsA total of 472 studies were identified (196 duplicates removed) and after screening, 53 studies were assessed for eligibility. The results of included publications (N = 26) showed that pharmacists and pharmacies are not equipped with the necessary emergency protocols which could lead to decreased access of pharmacies in the wake of EWCEs. Pharmacy deserts disproportionately affect residents living in rural, lower income, and Black/African American and Hispanic/Latino neighborhoods. The lack of preparedness of pharmacies post-EWCEs could worsen medication access.ConclusionThis scoping review addresses challenges impacting pharmacies and patients post-EWCEs and within pharmacy deserts. In times of increased need, these challenges implicate the well-being of communities affected by EWCEs by breaking the continuum of care and access to medications. Here we offer suggestions for future research and directions for policy change.

Natural disasters can be unpredictable and catastrophic. Even after the event, the repercussions are prolonged due to the incompetence of disaster management strategies. To mitigate the effects of a natural hazard, disaster management teams have to rapidly come forth with innovative plans of action. To contain the damage that a disaster causes, the response time, and preparedness of a disaster management team is crucial. Having a forewarning about the nature of the disaster can prove to be beneficial for the management team. Remote/unreachable areas such as deep parts of the forests, far-flung rural areas, oceans and other hard to reach locations are at a higher risk of receiving poorer aid and response due to the lack of communication and connectivity with the rest of the world. Our paper provides a solution for this particular problem by suggesting UAV/Drones for surveillance and monitoring in these inaccessible, disaster struck areas. The drones not only monitor the situation but constantly click pictures and send them to a base station, where the images are used to collect insights about the type of disaster that has to be dealt with. The paper proposes a deep learning model based on feature concatenation for classification of disasters which can be deployed at the base station, and can receive data in the form of images from a UAV/drone hovering over the affected place. The proposed model is efficient and able to achieve a higher accuracy as compared to the leading CNN models and closely related recent works as well. [ABSTRACT FROM AUTHOR]

Tornadoes, as highly destructive weather events, require accurate detection for effective decision‐making. Traditional radar‐based tornado detection algorithms (TDA) face challenges with limited tornado feature extraction capabilities, leading to high false alarm rates and low detection probabilities. This study introduces the Multi‐Task Identification Network (MTI‐Net), leveraging Doppler radar data to enhance tornado recognition. MTI‐Net integrates tornado detection and estimation tasks to acquire comprehensive spatial and locational information. As part of MTI‐Net, we introduce a novel backbone network of Multi‐Head Convolutional Block (MHCB), which incorporates Spatial and Channel Attention Units (SAU and CAU). SAU optimizes local tornado feature extraction, while CAU reduces false alarms by enhancing dependencies among input variables. Experiments demonstrate the superiority of MTI‐Net over TDA, with a decrease in false alarm rates from 0.94 to 0.46 and an increase in hit rates from 0.23 to 0.81, highlighting the effectiveness of MTI‐Net in handling small‐scale tornado events. Plain Language Summary: Tornadoes, highly destructive small‐scale weather phenomena, demand accurate detection for informed decision‐making. Although meteorological radars are commonly utilized for tornado identification, current methods often suffer from false alarms or missed detections due to radar noise. In this study, we introduce the multi‐task learning‐based identification network (MTI‐Net), which not only enables tornado detection but also estimates tornado counts within radar data. We integrate Convolutional Neural Networks (CNNs) with Transformer techniques to enhance the model's ability to capture tornado information. CNNs detect local details using filters, while Transformers manage global connections through attention mechanisms. A series of experiments demonstrate significant improvements in tornado detection with MTI‐Net compared to traditional methods. Key Points: A tornado dataset with detailed radar features was created over China from 2017 to 2023Multi‐task learning was designed to simultaneously infer tornado detection and tornado number estimationIntegration of spatial and channel attention units can better extract tornado features from radar data [ABSTRACT FROM AUTHOR]

A heavy rainstorm struck Henan, China, in July 2021. Previous studies have indicated that natural disasters have a wide range of psychological sequelae, but little research has been done on the psychological effects of floods specifically. This study aimed to track the mental health trajectories of flood victims over time and identify associated protective and risk factors. People living in the areas most impacted by the flood (N = 376) were surveyed at four different time points: 3 weeks, 1 month, 2 months, and 3 months post‐flood. Latent growth mixture modeling was utilized to delineate longitudinal patterns of depression, anxiety, and posttraumatic stress disorder (PTSD). Least absolute shrinkage and selection operator logistic regression, a supervised machine‐learning approach, was employed to discern predictors among 49 assessed variables at both contextual and personal levels. Results revealed three classes of PTSD (resilience, recovery, moderate symptoms) and anxiety (resilience, chronicity, recovery) trajectories, along with two classes of depression trajectories (resilience, chronicity). Key factors predicting resilience in mental health included personality traits, media consumption habits, pre‐existing health conditions at the individual level, and asset loss and ongoing adversities at the contextual level. In spite of the widespread impact of the flood, most victims displayed resilience in the face of adversity. Identifying critical factors across various psychological symptoms offers valuable insights for both pre‐disaster preparation and post‐disaster trans‐diagnostic psychological interventions. [ABSTRACT FROM AUTHOR]

Aim: This study examines whether changes in physical activity (PA) during the first year after the Great East Japan Earthquake and Tsunami (2011–2012) contributed to preventing the onset of future frailty among older survivors of the disaster. Methods: This study tracked 2561 physically active Japanese survivors aged ≥ 65 years (43.6% men; mean age 72.9 years) who had completed self‐administered questionnaires in 2011 and 2012. PA levels for participants were classified into four categories based on ≥23 and <23 metabolic equivalent hours/week in 2011 and 2012: "consistently low," "decreasing," "increasing," and "consistently high." Frailty was defined as a Kihon Checklist score ≥ 5, which is used in the long‐term care insurance system in Japan. Hazard ratios were calculated for the onset of frailty using a Cox proportional hazards model that fitted the proportional sub‐distribution hazards regression model with weights for competing risks of death. Results: From 2012 to 2018, 283 men and 490 women developed frailty. Men with consistently high or increasing PA during the first year after the disaster had a lower risk of frailty. Furthermore, even increasing PA by walking for just 30 min/day prevented future frailty in men; however, this association between a change in PA and the decreased risk of frailty was not observed in women. Conclusions: Older men who remained physically active or resumed PA at an early stage and at a low intensity, even after being physically inactive owing to the disaster, were able to prevent future frailty. Geriatr Gerontol Int 2024; 24: 563–570. [ABSTRACT FROM AUTHOR]

This research examines the risk of natural disasters for offshore wind turbines together with their potential wind energy capacity to help the site selection of offshore wind power farms. Through evaluations of expert questionnaires, we use the fuzzy analytic hierarchy process to weight how natural disasters damage the sub-assemblies of an offshore wind turbine, then obtain the natural disaster risk assessment model, and finally utilize ArcGIS Pro 3.2 to map the potential wind farm sites for the waters off Taiwan's west coast. We identify that typhoons are the most threatening type of disaster to generators, rotor blades, and rotor hubs; earthquakes are the most threatening to towers; and lightning is the most threatening to transformers. For the whole wind turbine, wind is ironically the most threatening natural disaster, followed by lightning, sea waves, and then earthquakes. Lastly, we examine the results by overlapping the offshore wind farms developed and planned in Taiwan, which coincide with locations in relatively low risk and high wind speed areas. [ABSTRACT FROM AUTHOR]

Objective: To assess the prevalence and distribution of PTSD in flood victims. Study Design: Cross-sectional. Setting: Department of Community Medicine, Gomal Medical College. Period: April 1, 2023 to May 30, 2023. Methods: Data was collected from those people who belonged to flood affected areas of D I Khan and fulfilled our criteria of flood victims, using a consecutive non-probability sampling technique through a questionnaire and analyzed through SPSS. Our sample size was 163 and our research variable was PTSD. Data was analyzed descriptively and inferentially. Chi-square test was used to see any statistically significant association between demographic variables and PTSD. Results: The results showed that the prevalence of PTSD in flood victims was 28.2%. The prevalence of PTSD was higher in males, adults in the age range of 31-45, illiterate people and those with low socioeconomic status. But there was no statistically significant association between any demographic variables and PTSD. Conclusion: According to the findings of the current study, PTSD was common among flood victims regardless of their sociodemographic profile. [ABSTRACT FROM AUTHOR]

This case study is an anthropological reflection on the impact of multiple disaster events on the culture and economy of the Hamadōri coastal area of Fukushima, Japan. The 2011 Tōhoku earthquake, tsunami, and nuclear meltdown; the pandemic of 2020; and today's global warming have affected this area's economic, touristic, and cultural practices, such as the Soma Nomaoi Calvary tradition. Outcomes exemplify the concept of punctuated entropy: a permanent decline in the adaptive flexibility of a human cultural system to the environment brought on by the cumulative impact of periodic disaster events. In the case of Fukushima, efforts to mitigate and recover from these closely occurring disaster events have been only partially successful, and the outcomes provide profound lessons learned regarding the complexity of the recovery process when deep-seated and sustaining cultural practices are disrupted or lost. [ABSTRACT FROM AUTHOR]

The development of information technology has led to massive, multidimensional, and heterogeneously sourced disaster data. However, there's currently no universal metadata standard for managing natural disasters. Common pre-training models for information extraction requiring extensive training data show somewhat limited effectiveness, with limited annotated resources. This study establishes a unified natural disaster metadata standard, utilizes self-trained universal information extraction (UIE) models and Python libraries to extract metadata stored in both structured and unstructured forms, and analyzes the results using the Word2vec-Kmeans cluster algorithm. The results show that (1) the self-trained UIE model, with a learning rate of 3 × 10−4 and a batch_size of 32, significantly improves extraction results for various natural disasters by over 50%. Our optimized UIE model outperforms many other extraction methods in terms of precision, recall, and F1 scores. (2) The quality assessments of consistency, completeness, and accuracy for ten tables all exceed 0.80, with variances between the three dimensions being 0.04, 0.03, and 0.05. The overall evaluation of data items of tables also exceeds 0.80, consistent with the results at the table level. The metadata model framework constructed in this study demonstrates high-quality stability. (3) Taking the flood dataset as an example, clustering reveals five main themes with high similarity within clusters, and the differences between clusters are deemed significant relative to the differences within clusters at a significance level of 0.01. Overall, this experiment supports effective sharing of disaster data resources and enhances natural disaster emergency response efficiency. [ABSTRACT FROM AUTHOR]

Simple Summary: In addition to invaluable ecosystem services, beekeeping offers opportunities for job creation, income generation and food security. Beekeepers have been experiencing economic losses due to high rates of honey bee colony losses driven by various factors worldwide. We conducted this study using the COLOSS monitoring survey tools for the first time in Ethiopia to assess honey bee colony loss rates, annual colony development, beekeeping practices, and to determine the role of management practices (varroa monitoring, varroa treatment, colony splitting, feed supplementation, use of natural comb, and purchase of beeswax from external sources), as well as region, on colony losses. For this, data were collected by interviewing beekeepers from two major beekeeping regions in the country—Oromia and Tigray. Our results showed a high rate of colony losses in Ethiopia, which significantly varied between the regions. The main drivers of honey bee colony losses are related to natural disasters (particularly war), beekeeping husbandry practices, and pest management. Therefore, it is important to promote the capacity of smallholder beekeepers to implement improved beekeeping practices such as feed supplementation, queen replacement and pest management that would lead to reduced losses, increased profitability, and improved food security and livelihood. The COLOSS research association has been assessing honey bee colony losses, associated risk factors and management, focusing on Western countries but with a progressive international expansion. Here, we report the first survey on the loss rates of colonies in 2022/2023 in Ethiopia using COLOSS monitoring survey tools. A face-to-face interview questionnaire survey was conducted on 64 beekeepers selected from Oromia and Tigray regions. This covered 1713 honey bee colonies distributed in 68 apiaries. The percentages of colonies lost were significantly different between Oromia (24.1%) and Tigray (66.4%) regions. Colony losses were attributed as unsolvable queen problems (8% in Oromia; 10% in Tigray), natural disaster (32%; 82%), and empty hives or dead colonies (60%; 8%). The loss rate was significantly affected by queen replacement (p < 0.0001), use of natural comb (p < 0.0001), feed supplementation (p < 0.0001), region (p < 0.0001), varroa treatment (p < 0.0001), colony splitting (p < 0.01), and merging (p < 0.01). Beekeepers in Oromia managed more colonies and implemented improved practices compared to those in Tigray. However, all beekeepers in Oromia detected at least some bees with signs of deformed wing virus, compared to 76% of beekeepers in Tigray. In conclusion, the colony loss rate was significantly different between Oromia and Tigray regions due to differences in natural disasters, management, environment and health factors. [ABSTRACT FROM AUTHOR]

The present work focuses on the friction coefficient for various geotextile sandbag structures especially dikes under different conditions. Based on the review of existing investigations there are several gaps to close. Former investigations do not include the whole scope of needed surfaces and conditions. Especially the friction coefficients for polypropylene and even for jute as material mainly used for small geotextile sandbags are not fully available. Additionally, the influence of the surface moisture is not consequently investigated, particularly for jute. Due to this, eleven test series (three with sandbag on sandbag configuration and eight with sandbag on ground surface) with 780 single readings are finalized. In comparison to former studies there are results for surface combinations of good harmonization and those with differences. A comparison of the earlier studies already shows different results Summarized it can be stated that the presented results are representative friction coefficients for calculation of realistic sandbag structures e. g., sandbag dikes or spring cascades. [ABSTRACT FROM AUTHOR]

Purpose: As environmental disasters become more common and severe due to climate change, there is a growing need for strategies to bolster recovery that are proactive, cost-effective, and which mobilise community resources. Aims: We propose that building social group connections is a particularly promising strategy for supporting mental health in communities affected by environmental disasters. Methods: We tested the social identity model of identity change in a disaster context among 627 people substantially affected by the 2019–2020 Australian fires. Results: We found high levels of post-traumatic stress, strongly related to severity of disaster exposure, but also evidence of psychological resilience. Distress and resilience were weakly positively correlated. Having stronger social group connections pre-disaster was associated with less distress and more resilience 12–18 months after the disaster, via three pathways: greater social identification with the disaster-affected community, greater continuity of social group ties, and greater formation of new social group ties. New group ties were a mixed blessing, positively predicting both resilience and distress. Conclusions: We conclude that investment in social resources is key to supporting mental health outcomes, not just reactively in the aftermath of disasters, but also proactively in communities most at risk. [ABSTRACT FROM AUTHOR]

Copyright of Acta Natura & Scientia is the property of Semih Kale and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This study descriptively investigated how humanitarian aid can be provided through sports in cases such as natural disasters, migration, war and conflict, which can affect people physiologically, psychologically and economically. In addition to the literature review on the subject, an attempt was made to explain the financial and moral support provided by the sports community to the disaster that occurred because of the earthquakes that deeply affected Kahramanmaraş and its surroundings on February 6, 2023, which was described as the disaster of the century. In the modern world, sports are not considered just as sports. Sports is considered an essential tool in many areas, from health to the economy, from gender to the cosmetics industry, from the development of countries to climate change, and from humanitarian aid to the solution of social problems. As a result of this research, it was seen that sports is one of the tools preferred by countries in foreign policy and diplomatic relations. In addition, it has been determined that it is among the tools used by non-governmental organizations (NGOs) and international organizations in carrying out their educational, psychological, health, missionary and economic activities and creating their image and social perception. In the research, sports philanthropy, sports aid campaigns, and the effects of sports on humanitarian aid were stated, and how the sports world should act in case of future disasters, how aid should be provided, and the measures to be taken within this framework were tried to be stated. [ABSTRACT FROM AUTHOR]

Copyright of Risk, Hazards & Crisis in Public Policy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Cappadocia Journal of Education (KAPED) is the property of Nevsehir Haci Bektas Veli Universitesi and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)