인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This research analyzes lightning activity in Northwestern Mexico from January 1, 2015, to December 31, 2019, and seeks to correlate it with cloud-to-ground (CG) stroke attributed fatalities and social variables. The main purpose of this paper is to define the most relevant social variables in CG stroke fatalities in order to improve our current understanding of lightning hazard. The study’s contributors anticipate that these findings will provide insights to help mitigate the loss of human life in this region. The methodology employed in this study focuses on a geospatial analysis of the CG stroke density per square kilometer related to the 50 deaths that occurred in Northwestern Mexico within the five-year time frame studied. In addition, a social-vulnerability indicator is defined by data provided by governmental agencies to assess risk based on socio-economic conditions, including level of education, access to healthcare services, access to basic human services, housing quality and space, household assets, and poverty level of the population. The social-vulnerability indicator combines available data of the general population in comparison to the occurrence of CG stroke fatalities and can contribute to an improved risk assessment of the CG stroke hazard. This geospatial analysis has found that CG stroke fatalities do not necessarily coincide with higher CG stroke density; however, other variables correlate to CG stroke fatalities statistics, including social vulnerability, population type, seasonality (time of the year), grouped age and occupation. This conclusion was determined by applying a principal component analysis (PCA) technique to the definition of the variables most closely related to CG stroke fatalities for the studied time period and region. In addition, physiographic elements were considered to explore their possible influence on the highest CG stroke density and the occurrence of CG stroke fatalities.
#Vulnerability (computing)
#Geography
#Hazard
#Geospatial analysis
#Social vulnerability
#Population
#Stroke (engine)
#Vulnerability assessment
#Demography
#Socioeconomics
#Environmental health
#Cartography
#Medicine
#Engineering
#Computer security
#Sociology
#Computer science
#Psychological intervention
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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