Man-made Disasters Research Articles

Use of Machine Learning Algorithms in Location Determination for Safe Construction

Disasters are events that affect life activities that cause physical, economic and social losses. These events cause loss of life and property, as well as damage to structures such as schools and hospitals that will affect the continuation of education and health services. There are two types of disasters. The first is man-made disasters and the second is natural disasters. Natural disasters occur as a result of natural events. Earthquake is a natural disaster. Disaster management is a process that covers pre-disaster, disaster and post-disaster. This study focuses on pre-earthquake disaster management. Safe construction is necessary to reduce the effects of earthquakes. Soil class is very important in a safe construction. Soil classification was made according to TBDY-2018 by using machine learning techniques for a safe construction in the Mediterranean region. 12 different machine learning algorithms were used for Classification and the results were analyzed. As a result of the analysis, the accuracy values of the algorithms are respectively: Naive Bayes 87%, LDA 88%, KNN 84%, Adaboost 96%, Logit boost 95%, Ultraboost 92%, BF Tree 98%, Extra Tree 84%, Random Forest 93%, Random Tree%. 95, Rep Tree 96%, SimpleCart 98%. The most successful algorithms in classification are Simle Cart and BT tree. The least successful algorithm is the Extra Tree algorithm.

Using the Socioeconomic Indicator Analysis to assess the Urban Vulnerability for Building Urban Resilience: A Case Study in Siem Reap City, Siem Reap Province

Urban climate resilience relies on several factors, but urban socioeconomics are considered as a core bloodstream for urban development and building adaptive capability to overcome urban vulnerability and climate change impacts. The socioeconomic indicators are important parameters in assessing urban resilience level on climaterelated natural and man-made disasters. This study aims to explore and address the levels of urban vulnerability and resilience in Siem Reap City, Cambodia by using variables of socioeconomic indicators. The research design of this study was made by adopting the HIGS framework (Hazard-Infrastructure-Governance-Socio-economics) on urban vulnerability assessment. Of these four key components of indicators, this study focuses only on twelve socioeconomic indicators by dividing them into three main components (demographic profile, development, and education-poverty-occupation) for assessing vulnerability and exploring how to build urban climate resilience. Data collection and research conducted using commune database data, key informant interviews and focused group discussion with Sangkats (communes) and relevant government agencies in Siem Reap City. The Siem Reap City is highly vulnerable to climate change impacts and has fair resilience toward urban climate change. Siem Reap City remains high ID Poor people. It has a relatively high number of population (especially children and 60 years old) vulnerable to climate change. In addition, the main occupation in this city retains a high attribution of agricultural production, and it has been impacted by climate change. The balanced development should also be made for the communes (Sangkats) that are vulnerable to climate change impacts, especially the green infrastructure, social services, and job creation and livelihood diversification for vulnerable groups, which help reduce the vulnerability of urban areas to climate threats and also key factors for the enhancing response capacity and adaptation of the city, or scalling up small, more local and city-based climate actions.

Forest Dynamics and the Analysis of a Reaction-Diffusion Forest Model

In this research, we study the dynamics of ecological models governed by differential equations. Ecology provides insight into the interaction between forest organisms, and interrelated processes regarding flora, fauna, and numerous other species. In particular, the results support population thresholds necessary for survival in some instances. Subsequently, we explore the response of mangroves of different regions to natural calamities and man-made disasters. A reaction-diffusion model has been developed to see the dynamics of the tidal woods and wetlands. Sundarbans, the largest mangrove of Bangladesh, are victim to a vast amount of hazardous events. This mathematical study of mangroves is unprecedented in such a manner. Furthermore, we continue the study of a forest ecosystem governed by an age-structured parabolic-ordinary system. We study some properties of an abstract parabolic equation, the dynamical system, and the limit sets. The model demonstrates a Lyapunov function which denotes some vital properties of the limit sets. GANIT J. Bangladesh Math. Soc. 43.1 (2023) 26- 36

Management in Disasters: An Overview

In this article, current knowledge on the management of natural and man-made disasters is briefly reviewed.

Separatist and Terrorist Movements in Papua: The Challenges of Social Disaster Management and the Important Role of Human-Made Disaster Intelligence

The Papua secessionist movement hinders Indonesia's stability efforts. The government has implemented measures, deploying intelligence for managing social crises as defined by Law 24 of 2007 on Disaster Management. The present study examines the separatist movement in Papua, its resultant societal upheaval, and the crucial role of intelligence in mitigating this societal crisis. The study explores applying Human-Made Disaster Intelligence, using AI and data tech, to mitigate risks in the Papua case. This study employs a literature review with 26 sources to explore challenges posed by separatist and terrorist movements in Papua. Data is gathered from official sources, excluding personal websites and social media. The study was conducted from January to March 2023. Data analysis utilizes descriptive narratives to qualitatively explore separatist and terrorist movements, social disasters, intelligence, and the Papua region. The research findings demonstrate that the separatist movement in Papua has resulted in a significant societal calamity, causing conflicts, casualties, and economic challenges. Man-made disaster intelligence is proposed to manage social disasters by collecting and analyzing data related to separatist activities. Intelligence plays a crucial role in detecting and mitigating risks associated with separatism, offering preventive and remedial measures. Challenges include limited resources and the need for collaboration among intelligence agencies. Strategic measures to enhance intelligence involve increased resources, collaboration, transparency, and the integration of Artificial Intelligence (AI) for data analysis. The complexity of using AI in countering separatist movements requires careful consideration of data sources, collection methods, and reliability measures.

사회안전을 위한 경찰업무의 범위 확대 문제에 관한 연구

We have faced numerous disasters. Sometimes administrative agencies and the people worked together to wisely overcome disasters, but many remain as a stigma of man-made disaster. Among them, the police have been severely criticized. There may be different views on whether it is reasonable to hold only the police accountable. But the police clearly have a painful mistake in the 'Itaewon disaster' which has now been more than a year. Despite numerous reports, preparations and responses were not properly made. The basics of disaster prevention, preparation, response, and recovery were not observed. Now, the police are being deployed for safety at almost every event, with or without organizers. It is time to discuss what the police's basic duty is and how far it is appropriate to expand it in the future.
 When a report is received, the police should be dispatched unconditionally to investigate and spread the problem to related agencies. It is necessary to cultivate disaster experts and reorganize related organizations. We really have to approach it with the determination that this is the last time. To this end, it is necessary to look for problems with the existing legal system. It is necessary to explain why administrative functions, including police, did not work properly. In addition, new ideas such as legal alternatives and disaster management responsibility agency systems must be presented. With vague cooperation or communication, disaster will return to man-made disaster. It is time for concrete alternatives.

Enhancing disaster management in smart cities through MCDM-AHP analysis amid 21st century challenges

In the era of rapid urbanization and technological progress, smart cities offer a promising solution to multifaceted global challenges, leveraging advanced technologies to optimize resources and enhance the quality of life; however, this interconnectedness also exposes them to novel vulnerabilities, particularly in the face of natural and man-made disasters, necessitating inventive strategies to ensure resilience against cyber threats and extreme weather events. This article delves into the exploration of smart cities’ diverse aspects and the categories of disasters they face, followed by an analysis of strategic mitigation approaches and their underlying criteria; it subsequently introduces the Multi-Criteria Decision-Making methodology, particularly Analytical Hierarchy Process (AHP), as a robust tool for systematic evaluation and prioritization of disaster management strategies in the increasingly complex landscape. The study’s analysis of relative weights underscores the pivotal role of resilience enhancement and communication redundancy as primary considerations in evaluating disaster management strategies for smart cities, while other criteria such as accuracy and timeliness, scaleability and adaptability, cost-effectiveness, ethical and privacy considerations, and training and skill requirements assume varying degrees of importance in supporting roles, providing valuable insights into the decision-making process. The assessment of alternative strategies highlights their prioritization in effective disaster management for smart cities, with notable emphasis on citizen engagement and education, early warning systems, and data analytics; further strategies such as integrated communication systems, resilient infrastructure design, drones and robotics, artificial intelligence algorithms, and IoT-enabled sensors and monitoring exhibit varying degrees of significance, offering insights into their roles and potential contributions to disaster management strategies based on their weighted sums. This research has practical significance, guiding stakeholders like urban planners, policymakers, and disaster management professionals to enhance smart city resilience and prioritize strategies based on critical factors, ultimately enabling effective disaster management in smart cities amid 21st-century challenges.

Sorption capacity of mixed sorbent

To date, the most pressing issue is water pollution, the need to make a decision on the processing of dangerous discharges that have entered the water in the process of use in the national economy. Due to the presence of a large number of obstacles in the process of preparing water for water use, a major problem is associated with the presence of man-made disasters, the consequences of natural phenomena. The active operation of production has more than doubled in recent years, which leads to an increase in the use of Water Resources. The total mass of water pollutants worldwide is fifteen billion tons per year, of which three million tons are heavy metals. In this regard, the mixed sorbent we are researching has high sorption capabilities, cost-effective properties, environmentally friendly.

Ensuring the Safety of Buildings and Structures Damaged as a Result of Military Man-Made Actions

A significant number of destroyed buildings and structures during the military aggression of the Russian Fed-eration in Ukraine make it necessary for scientific organizations to solve new problems in the restoration of residential and public buildings. After explosive devices have hit the building, the first task is to identify the possibility of its further operation. Technical assessment of the damage level should be justified by using ex-perimental data on changes in the physical and mechanical parameters of construction materials and structures, which are strength, deformability, crack resistance, etc., as a result of the blast waves and fires that accompany explosions in the premises. An urgent task is to develop a methodology that takes into account the impact of explosions and fires caused by them so that structures can be calculated and their residual life estimated. For many decades, the State Research Institute of Building Constructions has been solving problems of assessing the technical condition of damaged buildings and structures as a result of man-made disasters and actions, fol-lowed by the development of technical solutions that ensure the necessary operational characteristics of these objects can be restored.

Юрій Дуброва (1955–2023) — біолог з України, якого чув світ: нотатки до біографії

The future famous geneticist Prof. Yuri Dubrova (1955–2023) was born in Kyiv (Ukraine), where he received excellent secondary and higher education and was awarded with a gold medal upon graduating from school. Eventually, he became one of the best graduates of the Department of Vertebrate Zoology at the Faculty of Biology of Taras Shevchenko National University of Kyiv. His interests included theoretical biology, evolutionary theory, genetics, biometrics, and bionics (for some time he studied the lateral lineage of cyprinid fishes). In his last years at the university, he focused on the study of spontaneous mutations. At the Vavilov Institute of General Genetics in Moscow, Y. Dubrova continued his post-graduate studies and successfully defended his PhD thesis. After the collapse of the USSR, he moved to the UK in search of better scientific and technical opportunities, where he became a professor at the University of Leicester. The scientist lived and worked in Leicester until the end of his life. He devoted himself fully to science, especially to radiation, medical and population genetics, and to teaching, and tried to participate in the study of highly complex medical and genetic issues related, in particular, to the consequences of man-made disasters—Chornobyl (Ukraine, Belarus), Semipalatinsk (Kazakhstan)—and other cases of large-scale radiation effects on life. Dr. Dubrova is the author and co-author of more than 150 scientific articles published in leading journals, including the American Journal of Human Genetics, International Journal of Radiation Biology, Radiation Research, Molecular Biology and Evolution, International Journal of Cancer, British Journal of Cancer, Science, and Nature. He co-operated with many of the world’s leading geneticists and gave lectures in Ukraine, Russia, the USA, Canada, Japan, etc. The article uses fragments of the author’s long correspondence with Y. Dubrova, which may be of interest to biographers of F. Dobrzhansky, M. Tymofeiev-Resovsky, O. Sozinov, O. Yablokov, O. Kistiakowsky, as well as to students, teachers, and historians of Kyiv National University, Kaniv Nature Reserve, and the University of Leicester.

A proposed program for auditing man-made disaster management according to INTOSAI GUID 5330

يهدف البحث إلى التعرف على الكوارث وانواعها وكيفية ادارتها واعداد برنامج تدقيق على وفق معايير الانتوساي المعتمدة والقوانين والانظمة والتعليمات النافذة التي يمكن للمدقق الاسترشاد بها عن تنفيذ عمليات التدقيق ، مما يساعد في انجاز اعمال التدقيق بفاعلية وكفاءة، وقد توصل البحث الى مجموعة من الاستنتاجات اهمها ، افتقار ديوان الرقابة المالية الاتحادي لبرنامج موحد على وفق معايير الانتوساي لتدقيق ادارة الكوارث من صنع الانسان لذا فإن الباحثان يوصيان باعتماد البرنامج المقترح.

THE CURRENT STATE OF THE KAZAKHSTAN TOURIST MARKET

For many developed and developing countries, the tourism sector is the main source of employment, government revenue and foreign exchange earnings. The most important parameters of tourism development in the country are indicators of inbound and outbound tourism. Before the pandemic, both at the republican and regional levels, a lot of work was carried out to attract foreign tourists to Kazakhstan, measures were taken in the field of image policy and popularization of tourist destinations of the country. But many Kazakhstanis prefer to rest abroad, rather than in the resort areas of their homeland. The interrelation of the tourist attractiveness of the country with the category of tourist potential, factors of tourist attractiveness are considered. Tourist attractiveness is based on the tourism potential of the country, contributes to the growth of its competitiveness, the transformation of tourist supply into demand, is associated with various types of its assessment and is the result of its previous development. republic. Tourism activity is influenced by many factors of an economic, political, social, natural and technical nature, including: terrorism, the process of ensuring the safety of tourists, man-made disasters; uneven distribution of tourist flows; political instability in some regions of the world; prolonged global recession; volatility of exchange rates; priority of national rather than international norms in tourism, etc. The negative factors hindering the development of inbound tourism in the country have been identified, recommendations for eliminating existing problems have been proposed. The considered resources and tourist opportunities of Kazakhstan lead to the expediency of forming a modern tourist product. The development of a new tourist product in Kazakhstan would be competitive in the world market of tourist services and would help attract foreign tourists to Kazakhstan. The ways of development of domestic tourism in Kazakhstan, the creation of a competitive tourism industry, including the development of infrastructure and improving the quality of services provided, are proposed.

Resilient Social Work Practice: From the Experiences of Filipino Social Workers

'Resilience' refers to a person's capacity to handle difficulties, demands and pressure without experiencing negative effects. The concept of resilience draws from and reinforces a strengths perspective. The term refers to the belief that we have personal wisdom and capacity to persevere and grow from experience. Adopting a resilience mindset helps us to tap into these capacities and to flourish, even in the face of challenge. The pressures and demands of social work practice requires social workers to remain steadfast and strong despite all the personal and professional challenges. Since our country experiences many challenges like natural and manmade disaster and the COVID 19. There are evidence that social workers had experience mental and emotional fatigue. A study which aims to describe Resilient social work practice and actual experiences of Filipino Social Workers both personally and professionally amidst challenges and pandemic is needed to shed some light on how Filipino Social Workers deals with all these difficulties. Specifically, the study answers the following questions: 1. What is their perspective of resilient social work? 2.What are examples of resilience as practice by social workers on a personal and professional level? 3.How do social workers build resilience in professional practice? 4. In what ways (what aspect of their personal and professional level) did the participants practice Resiliency? Through online platform social workers in Davao Region from different social work settings participated in the study descriptive-qualitative research and concluded that social workers utilized various resiliency tools both personal and professional in their practice in dealing with clients in various organizations.

Selection parameters in lines of Drosophila melanogaster Meig., obtained from populations living in territories with different levels of radiation pollution: approbation of the Crow’s method

Man-made disasters, such as the accidents at the Chornobyl NPP and the Fukushima NPP-1, have raised questions about the radiation risks associated with the use of atomic energy in a new and acute way. The purpose of the study was to investigate the features of the action of natural selection in the lines of Drosophila melanogaster Meig., obtained from natural populations living in territories with different levels of radiation pollution. One of the aims was to test Crow's method on a model object, such as Drosophila. This method makes it possible to estimate the total intensity of selection, as well as to determine the contribution of its individual components, such as differential fecundity and differential mortality. The study was carried out on three lines of Drosophila melanogaster Meig.: the Haidary line (radiation background in the territory from which the line originates: 0.12 μSv/h, β-radiation flux: 0 particles/cm2/min), the KhPTI line (radiation background: 0.12–0.20 μSv/h, β-radiation flux: 0 particles/cm2/min), the Chornobyl line (radiation background: 0.20–0.22 μSv/h, β-radiation flux: 7–8 particles/cm2/min). According to the obtained results, the lines did not differ among themselves in egg production of females. In terms of the number of adult offspring, the Chornobyl line was inferior to the Haidary and KhPTI lines by 48.9% and 57.8%, respectively. Mortality in the pre-reproductive period of development (indicator pd), which includes embryonic and pupal mortality, was the highest in the Chornobyl line and exceeded the pd value in the Haidary and KhPTI lines by 1.4 times. As a result, the Chornobyl line, obtained from the territory contaminated with radionuclides, significantly exceeded the Haidary and KhPTI lines, obtained from the territories where the radiation situation does not go beyond the norm, by both components of selection – both by the component of differential fecundity (If), and by differential mortality (lm). The total selection indices (Itot) were quite close in the Haidary and KhPTI lines, and in the Chornobyl line this index was 2,1–2,6 times higher than in the other two lines. The results of the study support the view that ionizing radiation can promote evolution by accelerating evolutionary change. They indicate an increased mortality rate, a reduced level of fitness and an increased selection pressure in the line of fruit flies, which originates from the population living in the radiation-contaminated territory in the Chornobyl exclusion zone.

WAYS TO IMPROVE THE MECHANISM OF PROPERTY INSURANCE IN THE REPUBLIC OF UZBEKISTAN

The article is devoted to the essence of insurance and the mechanism of realization of property insurance at the present stage of economic development in the Republic of Uzbekistan. Insurance is an important element of the functioning of the financial system of the state, capable of ensuring the continuity of social reproduction, depending on the negative consequences of natural disasters, accidents, natural and man-made disasters and other unforeseen events that cause high risks of property loss, as well as to guarantee social protection of the population. to stabilize the process of investing in the economy. Today, property insurance in Uzbekistan is an insurance industry in which the object of insurance relations are property interests and property in various forms (for example, buildings, structures, equipment, and so on). The property insurance market in our country is developing quite rapidly, and if there are no serious turning points in society in the future, then after a while insurance may become one of the main factors protecting the interests of citizens and legal entities owning any property.

Avoiding Man-made Disasters using Transit-Oriented Development (TOD)-Strategy: Case of Namma Metro, Bengaluru

The use of private cars and vehicles clogs the roads and leads to accidents, congestion and road rage which are man-made disasters. One of the most important urban planning techniques to avoid disaster and to develop livable, productive and sustainable communities is Transit-Oriented Development (TOD), strong transit infrastructure, diverse land uses, higher-density development, walkable urban design, bicycle-friendly amenities, affordable housing and creative parking management which are just a few of the many components that make up TOD. These elements support the transition from car-centric urban design to more equitable and sustainable community development. Zoning and land use regulations, public-private partnerships, transit enhancements, community involvement, design principles, economic development programs, affordable housing policies, green and sustainable design techniques and the creation of TOD-specific zoning districts are some of the tactics used to implement TOD. The goal of these tactics is to develop thriving, economically sound communities that are oriented around effective public transit networks. For successful implementation of TOD projects, a detailed study at the city level, area level and nodal level has to be carried out. In this study, two metro stations at MG Road and Indiranagar, Bengaluru, India are considered and have been studied at baseline level for checking and considering TOD implementation based on the scoring method. Scoring based on primary data, spatial data and a revised master plan of Bengaluru has been carried out. Both the stations have obtained a score of 80% and 88% respectively. The score indicates that both stations are likely to consider and implement the TOD at this nodal level.

Justification and static calculation of the adaptive moving counterweight of a single-bucket excavator

The results of an analytical study of the effect of loads on the equipment of a single-bucket excavator are presented, and an analysis of previous studies is performed.
 The work highlights that the work process of a universal single-bucket excavator is a cycle of performing operations - digging and transporting soil.
 Universal excavators can perform work above and below the level of their parking lot with the working equipment of forward and reverse shovels or with the help of additional interchangeable equipment.
 During the work process, static and dynamic loads occur on the machine and mechanisms, which affect the stability of the machine and safety on the work site.
 To increase the stability of single-bucket universal excavators when working on an inclined plane and increase the efficiency of the machine in quarries, construction sites, when disassembling rubble after man-made disasters, accidents, and military operations, it is necessary to create a balancing mechanism of automatic action.
 The calculation of the stability of a universal single-bucket excavator with an adaptive movable counterweight with working equipment forward and reverse shovel in the basic calculation positions, which are performed when calculating universal single-bucket excavators, has been developed. For an excavator equipped with a reverse shovel, the calculation is made for two positions. Calculation of the stability of an excavator with straight shovel equipment, performed for four positions.
 Due to the adaptive movable counterweight, an additional, adjustable, arm appears, which automatically balances the system when necessary.
 Thanks to the automatic system, the single-bucket excavator can work and move on a more inclined plane, the moving counterweight will balance the machine itself, and it is also possible to increase the holding moment and prevent the excavator from tipping over.
 The expediency of using an adaptive moving counterweight for single-bucket excavators is described. Examples of the use of a movable counterweight in other machines are given. The analysis of related studies was performed and the expediency of using an adaptive moving counterweight in them was substantiated. Preliminary studies in the development of a movable counterweight for single-bucket excavators are provided. The calculation of the stability of a single-bucket excavator with an adaptive movable counterweight in the main design positions has been developed.

EXPLORING AI ELDERS’ CULTURAL PERCEPTIONS OF DISASTERS AND THE ROLE OF GENERATIVITY IN PREPARING FUTURE GENERATIONS

Abstract Natural and man-made disasters have a great impact on human health, especially for AI Elders. As keepers of cultural and community knowledge, AIAN Elders also serve as guides on how to best support their communities. This study focuses on a Midwestern Tribe’s cultural perceptions of disaster management, specifically being generative, or passing down disaster management knowledge and practices to future generations. In-person semi-structured interviews were conducted with eighteen Elders from the Midwestern Tribe. Recordings were transcribed, de-identified, and coded thematically using an interpretive phenomenological analysis approach. The study received approval from the Tribe’s Department of Emergency Management and the interview guide was reviewed and approved by a Community Advisory Board of six individuals. Elders described past experiences with natural and man-made disasters, including what they did before, during, and after disasters. Elders also explained how people cared for one another, including the importance of interconnectedness with all beings, caring for grandchildren, and the role of the Tribal Government in disaster management. Elders also described how culture shaped disaster management practices, such as traditional practices to follow during a storm, and the important role of Elders in teaching communities what to do when disasters happen. Exploring the role of generativity in passing on disaster-related information is one way to learn how Elders’ knowledge is valued by the community. Findings suggest that Elders can provide important guidance to Tribal governments and public health systems to determine effective disaster management strategies for AIAN communities.

Statistical approaches for assessing excess mortality during the COVID-19 pandemic: a scoping review

Excess mortality is a measure of the increase in the number of deaths in a population during a certain time period compared to the expected values. This phenomenon can be triggered by a variety of natural or man-made disasters. Throughout the global COVID-19 pandemic, all countries experienced a rise in mortality rates, although not all deaths were directly caused by the coronavirus infection. Estimation of excess mortality during a pandemic, particularly stratified by the leading causes of death, is an important public health issue. The outcomes of these calculations, however, can vary significantly depending on the methodological approaches employed to estimate excess mortality.
 The aim of this study was to provide a systematic review of the analytical methods used by the international research community to quantify excess mortality during the COVID-19 pandemic. Full-text publications in both Russian and English, published between 2020 and 2022, that focused on assessing excess mortality during the COVID-19 were reviewed. The search for English-language publications was conducted in the MEDLINE database (www.pubmed.gov), while Russian-language publications were sourced from the scientific electronic library database eLIBRARY.RU (www.elibrary.ru). Out of the 725 publications initially identified, we included 83 original studies in this review. Among the various statistical methods employed to estimate excess mortality, the most utilized approaches were Poisson regression with correction for overdispersion and a range of adaptive models based on autoregression and integrated moving average. The selection of a specific model depended on factors such as the duration of the existing time series, its characteristics, and the forecasting interval.
 This review may serve as a resource for Russian-speaking researchers and analysts seeking guidance on selecting an appropriate analytical approach when examining excess deaths during the COVID-19 pandemic in Russia.

ANXIETY AND DEPRESSION IN OLDER ADULTS POST DEEPWATER HORIZON OIL SPILL

Abstract Previous research has investigated challenges such as scarcity in housing, the loss of life, and the onset of mental health disorders such as PTSD that persist once a person has experienced a man-made disaster. This has been analyzed in populations such as older adults and other vulnerable groups of people. However, little to no consideration has been given to how age, in combination with trauma history, relates to indicators of psychological well-being after disasters. Here, using Socioemotional Selectivity Theory (SST) (Carstensen, 2006) and the Strength of Vulnerability Integration Model (SAVI) (Charles, 2013) we investigated age differences in two indicators of psychological well-being—depression and anxiety—among individuals following the 2010 Deepwater Horizon Oil Spill (DHOS). Specifically, trauma history and personal exposure to the DHOS were tested as potential moderators of age differences in psychological well-being. Residents of the US Gulf Coast region (N=2,508, M age= 57.72 yrs; 60.4% Women) were contacted via telephone and asked to complete the Survey of Trauma, Resilience, and Opportunity among Neighborhoods in the Gulf (STRONG). Regression analyses were used to investigate the roles of age, prior trauma, and DHOS exposure on psychological well-being after controlling for income, education, race, and gender. Implications of the findings for disaster preparedness interventions and theories of psychological well-being across the life span are discussed.