Place-based stressors associated with industry and air pollution

Kondo, Michelle C.; Gross-Davis, Carol Ann; May, Katlyn; Davis, Lauren O.; Johnson, Tyiesha; Mallard, Mable; Gabbadon, Alice; Sherrod, Claudia; Branas, Charles C.

doi:10.1016/j.healthplace.2014.03.004

Cited by 38 publications

(13 citation statements)

References 50 publications

(69 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Though several scholars have found the PHMC surveys reliable and valid (Kondo, et al, 2014, Yang, et al, 2011), due to the fact that we pooled two waves of data together, we compared some key measures drawn from our data with those reported by the 2010 Behavioral Risk Factor Surveillance System (BRFSS) in the Philadelphia metropolitan area (CDC, 2010) to address the concern about data quality. We found that the pooled data retain high reliability and validity.…”

Section: Methodsmentioning

confidence: 99%

Residential segregation and racial disparities in self-rated health: How do dimensions of residential segregation matter?

Yang

Zhao

Song

2017

Social Science Research

View full text Add to dashboard Cite

Previous research on segregation and health has been criticized for overlooking the fact that segregation is a multi-dimensional concept (i.e., evenness, exposure, concentration, centralization, and clustering) and recent evidence drawn from non-black minorities challenges the conventional belief that residential segregation widens racial health disparities. Combining a survey data (n=18,752) from Philadelphia with the 2010 Census tract (n=925) data, we examine two theoretical frameworks to understand why the association of segregation with health may differ by race/ethnicity. Specifically, we investigate how each dimension of segregation contributed to racial disparities in self-rated health. We found (1) high levels of white/ black concentration could exacerbate the white/black health disparities up to 25 percent, (2) the white/Hispanic health disparities was narrowed by increasing the level of white/Hispanic centralization, and (3) no single dimension of segregation statistically outperforms others. Our findings supported that segregation is bad for blacks but may be beneficial for Hispanics.

show abstract

Section: Methodsmentioning

confidence: 99%

Residential segregation and racial disparities in self-rated health: How do dimensions of residential segregation matter?

Yang

Zhao

Song

2017

Social Science Research

View full text Add to dashboard Cite

show abstract

“…Other facilities, traffic, and other urban sources of VOCs also impacted the area. Further description of this refinery and its location are provided elsewhere (Kondo et al, 2014). Five sites were designated as "near fenceline," since they were 30-40 m from the refinery's boundary and near its central section where distillation units and an associated tank farm were located.…”

Section: Methodsmentioning

confidence: 99%

Spatial analysis of volatile organic compounds in South Philadelphia using passive samplers

Mukerjee

Smith

Thoma

et al. 2016

Journal of the Air & Waste Management Association

View full text Add to dashboard Cite

Select volatile organic compounds (VOCs) were measured in the vicinity of a petroleum refinery and related operations in South Philadelphia, Pennsylvania, USA, using passive air sampling and laboratory analysis methods. Two-week, time-integrated samplers were deployed at 17 sites, which were aggregated into five site groups of varying distances from the refinery. Benzene, toluene, ethylbenzene, and xylene isomers (BTEX) and styrene concentrations were higher near the refinery's fenceline than for groups at the refinery's south edge, mid-distance, and farther removed locations. The near fenceline group was significantly higher than the refinery's north edge group for benzene and toluene but not for ethylbenzene or xylene isomers; styrene was lower at the near fenceline group versus the north edge group. For BTEX and styrene, the magnitude of estimated differences generally increased when proceeding through groups ever farther away from the petroleum refining. Perchloroethylene results were not suggestive of an influence from refining. These results suggest that emissions from the refinery complex contribute to higher concentrations of BTEX species and styrene in the vicinity of the plant, with this influence declining as distance from the petroleum refining increases.Implications: Passive sampling methodology for VOCs as discussed here is employed in recently enacted U.S. Environmental Protection Agency Methods 325A/B for determination of benzene concentrations at refinery fenceline locations. Spatial gradients of VOC concentration near the refinery fenceline were discerned in an area containing traffic and other VOC-related sources. Though limited, these findings can be useful in application of the method at such facilities to ascertain source influence.PAPER HISTORY

show abstract

“…Fixed-point hazards such as pipeline oil spills are of great significance to nearby communities, constituting more problems where poverty already affects the population [15] [16]. The frequency and risk of these terrestrial oil spills [17] [18] have great impact on the physical and human environment [19] [20].…”

Section: Introductionmentioning

confidence: 99%

Geo-Spatial Analysis of Oil Spill Distribution and Susceptibility in the Niger Delta Region of Nigeria

Whanda¹,

Adekola²,

Adamu³

et al. 2016

JGIS

View full text Add to dashboard Cite

Oil spill occurrence during exploration, production and distribution can cause deleterious impact on the environment. Contamination of local streams/rivers, farmlands, forest resources and biodiversity in oil producing areas presents strong significant possibility of significant harm to human health. Geo-information technologies present new opportunities for assessing stress environment and ways of determining exposure susceptibility in such areas. The study assesses the geographical distribution of oil-spills cluster and pattern using three geospatial techniques with ground data at 443 oil-spill incident sites from 1985-2008. The places with high (high-volume/ large impact/close proximity to communities) and low incident (low-volume/less impact/fardistance) are related to the quantity of oil-spills identified within those communities considered susceptible to spill impact and possible exposure. While the average nearest neighborhood analysis showed a probability that oil-spill distribution in the area is clustered (ratio < 1 with index value 0.19), the Getis-Ord General G test indicated that the oil-spill with high quantities (volume) discharge are significantly clustered within every 400 m. The Moran's I index indicted that there is <1% likelihood that the clusters are as a result of random chance. These findings will help to combat the environmental problems and risks of prolong exposure to petroleum hydrocarbons by addressing future incidents or relocating oil facilities/communities and positioning of rapid response strategies.

show abstract

Place-based stressors associated with industry and air pollution

Cited by 38 publications

References 50 publications

Residential segregation and racial disparities in self-rated health: How do dimensions of residential segregation matter?

Residential segregation and racial disparities in self-rated health: How do dimensions of residential segregation matter?

Spatial analysis of volatile organic compounds in South Philadelphia using passive samplers

Geo-Spatial Analysis of Oil Spill Distribution and Susceptibility in the Niger Delta Region of Nigeria

Contact Info

Product

Resources

About