Disparities in drinking water quality: evidence from California

被引:4
|
作者
Acquah, Sarah [1 ]
Allaire, Maura [2 ]
机构
[1] Minnesota Pollut Control Agcy, Environm Anal & Outcomes Div, St Paul, MN 55155 USA
[2] Univ Calif Irvine, Dept Urban Planning & Publ Policy, Irvine, CA USA
关键词
Community Water Systems; Environmental justice; Violation; Water quality; CONTAMINATION; JUSTICE; SYSTEMS;
D O I
10.2166/wp.2023.068
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Reducing disparities in drinking water quality is a state-level priority in California, yet targeting communities for assistance is hindered by the lack of empirical evidence regarding populations that are disproportionately affected. The study addresses this gap by analyzing drinking water quality violations and identifying the types of communities disproportionately burdened by water contaminants. Using a sample of 1,710 Community Water Systems (CWSs) and probit regression models, we analyzed the likelihood of violation as a function of low-income, minority groups, and vulnerable populations. Results indicate that environmental justice concerns are prevalent. Low-income communities and minority groups (Hispanics and non-Whites) face a greater likelihood of water quality violations. Low-income communities are 1.77% more likely to have any health-related violations. Severely disadvantaged communities face a greater likelihood (3.44%) of water quality contaminant violations. Tribal water systems are 2% more likely to violate the Total Coliform Rule. Children aged five and under are 3% more likely to be exposed to health-based water quality violations. Failure to address prior violations leads to a greater likelihood (38.94%) of future violations, while large utility systems and purchased water sources have the propensity to reduce violations. Overall, these findings can guide policy decisions to prioritize assistance to communities disproportionately impacted by poor water quality.
引用
收藏
页码:69 / 86
页数:18
相关论文
共 50 条
  • [41] Machine learning for environmental justice: Dissecting an algorithmic approach to predict drinking water quality in California
    Karasaki, Seigi
    Morello-Frosch, Rachel
    Callaway, Duncan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 951
  • [42] Drinking Water and Exclusion: A Case Study from California's Central Valley
    Pannu, Camille
    CALIFORNIA LAW REVIEW, 2012, 100 (01) : 223 - 268
  • [43] IS DRINKING-WATER RELATED TO SPONTANEOUS-ABORTION - REVIEWING THE EVIDENCE FROM THE CALIFORNIA-DEPARTMENT-OF-HEALTH-SERVICES STUDIES
    SWAN, SH
    NEUTRA, RR
    WRENSCH, M
    HERTZPICCIOTTO, I
    WINDHAM, GC
    FENSTER, L
    EPSTEIN, DM
    DEANE, M
    EPIDEMIOLOGY, 1992, 3 (02) : 83 - 93
  • [44] Availability and Quality of Drinking water
    Brandt, Peter
    JOURNAL FUR VERBRAUCHERSCHUTZ UND LEBENSMITTELSICHERHEIT-JOURNAL OF CONSUMER PROTECTION AND FOOD SAFETY, 2011, 6 (02): : 283 - 290
  • [45] Assessment of Drinking Water Quality
    Aly, Nagwa S. M.
    Ali, Rabab M.
    El Badawy, Hemmat A.
    LIFE SCIENCE JOURNAL-ACTA ZHENGZHOU UNIVERSITY OVERSEAS EDITION, 2013, 10 (01): : 1795 - 1803
  • [46] Surveillance of Quality of Drinking Water
    Goel, Naveen K.
    Bhatnagar, Tarun
    Sharma, M. K.
    Verma, Anita
    Agarwal, Neeraj
    Chander, Jagdish
    Gupta, Varsha
    Swami, H. M.
    BAHRAIN MEDICAL BULLETIN, 2007, 29 (02)
  • [47] Drinking water quality and the SDGs
    Bain, Robert
    Johnston, Rick
    Slaymaker, Tom
    NPJ CLEAN WATER, 2020, 3 (01)
  • [48] Recycling of water drinking quality
    不详
    FLEISCHWIRTSCHAFT, 2006, 86 (05): : 31 - 31
  • [49] Drinking water quality and safety
    Gomez-Gutierrez, Anna
    Josepa Miralles, Maria
    Corbella, Irene
    Garcia, Soledad
    Navarro, Sonia
    Llebaria, Xavier
    GACETA SANITARIA, 2016, 30 : 63 - 68
  • [50] Drinking water quality and sustainability
    Watson, SB
    Lawrence, J
    WATER QUALITY RESEARCH JOURNAL OF CANADA, 2003, 38 (01): : 3 - 13