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Incorporating field-based research into remote learning: An assessment of soil lead pollution in different land-use types in Los Angeles.
Hung, Wei-Cheng; Adams, Naomi; Ibrahim-Watkins, Zanobia R; Nguyen, Dorothy; Jain, Tricia; Wang, Yu-Han; Jay, Jennifer A.
  • Hung WC; Department of Civil and Environmental Engineering, University of California-Los Angeles, Los Angeles, CA, 90095, USA.
  • Adams N; Department of Civil and Environmental Engineering, University of California-Los Angeles, Los Angeles, CA, 90095, USA.
  • Ibrahim-Watkins ZR; Department of Civil and Environmental Engineering, University of California-Los Angeles, Los Angeles, CA, 90095, USA.
  • Nguyen D; Department of Civil and Environmental Engineering, University of California-Los Angeles, Los Angeles, CA, 90095, USA.
  • Jain T; Department of Civil and Environmental Engineering, University of California-Los Angeles, Los Angeles, CA, 90095, USA.
  • Wang YH; Institute of Transportation Studies, University of California-Irvine, Irvine, CA, 92697, USA.
  • Jay JA; Department of Civil and Environmental Engineering, University of California-Los Angeles, Los Angeles, CA, 90095, USA. Electronic address: jennyjay@ucla.edu.
Environ Res ; 216(Pt 1): 114480, 2023 01 01.
Article in English | MEDLINE | ID: covidwho-2061126
ABSTRACT
A research-based course was developed to investigate the legacy of soil lead (Pb) pollution in Los Angeles, California. During the course, undergraduate and graduate students collected a total of 270 soil samples for analyses of metal (loid) concentrations in different land-use types (residential, park, and school). Residential soils had significantly higher Pb concentrations than other land uses (p < 0.01) exceeding the California recommended safety level for soil Pb (80 mg/kg) at the highest frequency (64% of samples), followed by schools (42%) and parks (6.0%). Soil Pb from all 87 census block groups was correlated with battery recycling plant and railroad proximity as geospatial indicators of childhood Pb exposure risk. Meanwhile, census block groups with higher Pb levels were correlated with higher percentages of the following population those without health insurance, without college degrees, with a lower median household income and income below the poverty line, and ethnic and racial minorities (r = -0.46 to 0.59, p < 0.05). Principal component regression models significantly improved soil Pb estimation over correlation analysis by incorporating sociodemographic, economic, and geospatial risk factors for Pb exposure (R2 = 0.58, p < 0.05). This work provides new insights into how topsoil Pb prevails in various land-use types and their co-occurring sociodemographic, economic, and geospatial risk factors, indicating the need for multi-scalar assessment across urban land uses.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Soil Pollutants / Metals, Heavy Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America / Asia Language: English Journal: Environ Res Year: 2023 Document Type: Article Affiliation country: J.envres.2022.114480

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Soil Pollutants / Metals, Heavy Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: North America / Asia Language: English Journal: Environ Res Year: 2023 Document Type: Article Affiliation country: J.envres.2022.114480