IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v14y2017i12p1445-d120133.html
   My bibliography  Save this article

Lead Emissions and Population Vulnerability in the Detroit (Michigan, USA) Metropolitan Area, 2006–2013: A Spatial and Temporal Analysis

Author

Listed:
  • Heather Moody

    (Department of Environmental Science, Siena Heights University, 1247 East Siena Heights Drive, Adrian, MI 49221, USA)

  • Sue C. Grady

    (Department of Geography, Environment, and Spatial Sciences, Michigan State University, 673 Auditorium Road, Room 207, East Lansing, MI 48824, USA)

Abstract

Objective : The purpose of this research is to geographically model airborne lead emission concentrations and total lead deposition in the Detroit Metropolitan Area (DMA) from 2006 to 2013. Further, this study characterizes the racial and socioeconomic composition of recipient neighborhoods and estimates the potential for IQ (Intelligence Quotient) loss of children residing there. Methods : Lead emissions were modeled from emitting facilities in the DMA using AERMOD (American Meteorological Society/Environmental Protection Agency Regulatory Model). Multilevel modeling was used to estimate local racial residential segregation, controlling for poverty. Global Moran’s I bivariate spatial autocorrelation statistics were used to assess modeled emissions with increasing segregation. Results : Lead emitting facilities were primarily located in, and moving to, highly black segregated neighborhoods regardless of poverty levels—a phenomenon known as environmental injustice. The findings from this research showed three years of elevated airborne emission concentrations in these neighborhoods to equate to a predicted 1.0 to 3.0 reduction in IQ points for children living there. Across the DMA there are many areas where annual lead deposition was substantially higher than recommended for aquatic (rivers, lakes, etc.) and terrestrial (forests, dunes, etc.) ecosystems. These lead levels result in decreased reproductive and growth rates in plants and animals, and neurological deficits in vertebrates. Conclusions : This lead-hazard and neighborhood context assessment will inform future childhood lead exposure studies and potential health consequences in the DMA.

Suggested Citation

  • Heather Moody & Sue C. Grady, 2017. "Lead Emissions and Population Vulnerability in the Detroit (Michigan, USA) Metropolitan Area, 2006–2013: A Spatial and Temporal Analysis," IJERPH, MDPI, vol. 14(12), pages 1-22, November.
  • Handle: RePEc:gam:jijerp:v:14:y:2017:i:12:p:1445-:d:120133
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/14/12/1445/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/14/12/1445/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Douglas Massey & Jonathan Tannen, 2015. "A Research Note on Trends in Black Hypersegregation," Demography, Springer;Population Association of America (PAA), vol. 52(3), pages 1025-1034, June.
    2. Troy D. Abel & Debra J. Salazar & Patricia Robert, 2015. "States of Environmental Justice: Redistributive Politics across the United States, 1993–2004," Review of Policy Research, Policy Studies Organization, vol. 32(2), pages 200-225, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joseph Gibbons & Tse-Chuan Yang & Elizabeth Brault & Michael Barton, 2020. "Evaluating Residential Segregation’s Relation to the Clustering of Poor Health across American Cities," IJERPH, MDPI, vol. 17(11), pages 1-18, June.
    2. Jingwei Xiang & Weina Zhang & Xiaoqing Song & Jiangfeng Li, 2019. "Impacts of Precipitation and Temperature on Changes in the Terrestrial Ecosystem Pattern in the Yangtze River Economic Belt, China," IJERPH, MDPI, vol. 16(23), pages 1-26, December.
    3. Zhen Zhen & Qianqian Cao & Liyang Shao & Lianjun Zhang, 2018. "Global and Geographically Weighted Quantile Regression for Modeling the Incident Rate of Children’s Lead Poisoning in Syracuse, NY, USA," IJERPH, MDPI, vol. 15(10), pages 1-19, October.
    4. Deniz Yeter & Ellen C. Banks & Michael Aschner, 2020. "Disparity in Risk Factor Severity for Early Childhood Blood Lead among Predominantly African-American Black Children: The 1999 to 2010 US NHANES," IJERPH, MDPI, vol. 17(5), pages 1-26, February.
    5. Heather A. Moody & Sue C. Grady, 2021. "Lead Emissions and Population Vulnerability in the Detroit Metropolitan Area, 2006–2013: Impact of Pollution, Housing Age and Neighborhood Racial Isolation and Poverty on Blood Lead in Children," IJERPH, MDPI, vol. 18(5), pages 1-20, March.
    6. Amanda Pavan & Sue C. Grady & Igor Vojnovic, 2023. "Racial and ethnic disparities in exposure to risk-screening environmental indicator (RSEI) toxicity-weighted concentrations: Michigan Census Tracts, 2008–2017," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 13(2), pages 221-239, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Janel Jett & Leigh Raymond, 2021. "Issue Framing and U.S. State Energy and Climate Policy Choice," Review of Policy Research, Policy Studies Organization, vol. 38(3), pages 278-299, May.
    2. Samantha Friedman & Tabassum Z. Insaf & Temilayo Adeyeye & Jin-Wook Lee, 2023. "Spatial Variation in COVID-19 Mortality in New York City and Its Association with Neighborhood Race, Ethnicity, and Nativity Status," IJERPH, MDPI, vol. 20(17), pages 1-14, September.
    3. Heather A. Moody & Sue C. Grady, 2021. "Lead Emissions and Population Vulnerability in the Detroit Metropolitan Area, 2006–2013: Impact of Pollution, Housing Age and Neighborhood Racial Isolation and Poverty on Blood Lead in Children," IJERPH, MDPI, vol. 18(5), pages 1-20, March.
    4. Joel E. Cohen, 2021. "Measuring the concentration of urban population in the negative exponential model using the Lorenz curve, Gini coefficient, Hoover dissimilarity index, and relative entropy," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(49), pages 1165-1184.
    5. Chris Hess & Ryan Gabriel & Christine Leibbrand & Kyle Crowder, 2019. "Does Hypersegregation Matter for Black-White Socioeconomic Disparities?," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2169-2191, December.
    6. Janeria Easley, 2018. "Spatial mismatch beyond black and white: Levels and determinants of job access among Asian and Hispanic subpopulations," Urban Studies, Urban Studies Journal Limited, vol. 55(8), pages 1800-1820, June.
    7. Mehra, Renee & Boyd, Lisa M. & Ickovics, Jeannette R., 2017. "Racial residential segregation and adverse birth outcomes: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 191(C), pages 237-250.
    8. Kishor, N. Kundan & Konkel, Rebecca & Yoon, Jangsu & Zhao, Tian, 2023. "Bridging the racial disparity in wealth creation in Milwaukee," MPRA Paper 117686, University Library of Munich, Germany.
    9. Richard Duckworth & Michael Lucas & Ben Miller & Shiraj Pokharel & Elora Raymond, 2016. "Corporate Landlords, Institutional Investors, and Displacement: Eviction Rates in SingleFamily Rentals," FRB Atlanta Community and Economic Development Discussion Paper 2016-4, Federal Reserve Bank of Atlanta.
    10. Rafiq Friperson & Hessel Oosterbeek & Bas van der Klaauw, 2023. "The Hidden Divide: School Segregation of Teachers in the Netherlands," Tinbergen Institute Discussion Papers 23-034/V, Tinbergen Institute.
    11. Amber Crowell & Mark Fossett, 2022. "Metropolitan racial residential segregation in the United States: A microlevel and cross-context analysis of Black, Latino, and Asian segregation," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(8), pages 217-260.
    12. Samantha Friedman & Recai M. Yucel & Colleen E. Wynn & Joseph R. Gibbons, 2019. "Muslim–Non-Muslim Locational Attainment in Philadelphia: A New Fault Line in Residential Inequality?," Demography, Springer;Population Association of America (PAA), vol. 56(4), pages 1327-1348, August.
    13. Derek Glasgow & Shuang Zhao & Saatvika Rai, 2021. "Rethinking Climate Change Leadership: An Analysis of the Ambitiousness of State GHG Targets," Review of Policy Research, Policy Studies Organization, vol. 38(4), pages 398-426, July.
    14. Voith, Laura A. & Russell, Katie N. & Lee, Hyunjune & Atwell, Meghan Salas & McKinney, Sherise J. & Thomas, Tito & Barksdale, Edward M., 2023. "Using grounded theory to develop a theory of change for a violence intervention program," Evaluation and Program Planning, Elsevier, vol. 99(C).
    15. Do, D. Phuong & Frank, Reanne & Iceland, John, 2017. "Black-white metropolitan segregation and self-rated health: Investigating the role of neighborhood poverty," Social Science & Medicine, Elsevier, vol. 187(C), pages 85-92.
    16. Ying Huang & Scott J. South & Amy Spring, 2017. "Racial Differences in Neighborhood Attainment: The Contributions of Interneighborhood Migration and In Situ Change," Demography, Springer;Population Association of America (PAA), vol. 54(5), pages 1819-1843, October.
    17. Wenfei Xu, 2022. "The contingency of neighbourhood diversity: Variation of social context using mobile phone application data," Urban Studies, Urban Studies Journal Limited, vol. 59(4), pages 851-869, March.
    18. Glenn Firebaugh & Chad R. Farrell, 2016. "Still Large, but Narrowing: The Sizable Decline in Racial Neighborhood Inequality in Metropolitan America, 1980–2010," Demography, Springer;Population Association of America (PAA), vol. 53(1), pages 139-164, February.
    19. Grineski, Sara E. & Collins, Timothy W. & Chakraborty, Jayajit, 2022. "Cascading disasters and mental health inequities: Winter Storm Uri, COVID-19 and post-traumatic stress in Texas," Social Science & Medicine, Elsevier, vol. 315(C).
    20. Renan Xavier Cortes & Sergio Rey & Elijah Knaap & Levi John Wolf, 2020. "An open-source framework for non-spatial and spatial segregation measures: the PySAL segregation module," Journal of Computational Social Science, Springer, vol. 3(1), pages 135-166, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:14:y:2017:i:12:p:1445-:d:120133. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.