Open AccessCharacterizing Spatial Variability of Climate‐Relevant Hazards and Vulnerabilities in the New England Region of the United States
Author(s) -
Spangler K. R.,
Manjourides J.,
Lynch A. H.,
Wellenius G. A.
Publication year - 2019
Publication title -
geohealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 12
ISSN - 2471-1403
DOI - 10.1029/2018gh000179
Subject(s) - vulnerability (computing) , geography , spatial ecology , precipitation , scale (ratio) , environmental health , environmental science , public health , climate change , climatology , environmental resource management , meteorology , ecology , cartography , medicine , computer security , nursing , geology , computer science , biology
Weather and climate have substantial effects on human health. While much is known about how morbidity and mortality are affected by moderate‐to‐extreme heat, poor air quality, and heavy precipitation individually, less is known about the cumulative occurrence of these climatic hazards, and the extent to which they spatially overlap with community‐scale vulnerabilities. Specifically, there is interest in determining whether individuals living in places with the highest exposure to multiple health hazardous climatic conditions are also more vulnerable to having negative health outcomes. Presented here is a spatial analysis of the distribution of health‐relevant climatic hazards and social vulnerabilities across the New England region of the northeastern United States. We show that the frequency of excessive heat days, heavy precipitation days, and ozone (O 3 ) and fine particulate matter (PM 2.5 ) exceedances during the warm seasons (May–September) from 2009 to 2014 have distinct spatial distributions and are statistically significantly correlated across space with indicators of social vulnerability. We further quantify an integrated measure of the hazards and vulnerabilities to illustrate the spatial heterogeneity of overall risk, as well as to demonstrate how the choice of spatial scale influences the identification of high‐risk areas. These methods are transferrable to other locations and contexts, which could be of utility not only to geographers and epidemiologists, but also to policymakers tasked with allocating public health resources to populations at greatest risk of weather‐ and climate‐related health effects.