Exploring Demographic Disparities in Private Well Water Testing in North Carolina

IF 11.3 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL 环境科学与技术 Pub Date : 2025-01-09 DOI:10.1021/acs.est.4c05437
Wesley Hayes, C. Nathan Jones, Khalid K. Osman, Lauren A. Eaves, Wilson Mize, Jon Fowlkes, Rebecca C. Fry, Kelsey J. Pieper
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Abstract

The natural, built, and social environments shape drinking water quality supplied by private wells. However, the combined effects of these factors are not well understood. Using North Carolina as a case study, we (i) estimate the demographic characteristics of the private well population; (ii) evaluate representation in well testing records; and (iii) demonstrate how spatial scale influences knowledge of well-using household demographics and representation in testing. We leverage a statewide database of 117,960 well testing records collected over 20 years and a national model predicting well locations. An estimated 25% well-using households identify as Black, Indigenous, and Persons of Color (BIPOC) and 15% have incomes below the poverty threshold. While there is robust well sampling (an average of 4,269 wells tested annually), we observed that most testing records were from predominately White block groups (BGs). Well-using households that did not participate in state testing were 2.4 times more likely to be from predominately BIPOC BGs compared predominately White BGs. Due to the spatial heterogeneity of the well population, demographic differences in well populations were more evident using higher resolution data. Multifaceted testing approaches that couple government-driven efforts with localized studies that engage underrepresented communities are needed to facilitate evidence-based management.

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探讨北卡罗莱纳州私人井水检测的人口差异
自然、建筑和社会环境塑造了私人水井提供的饮用水质量。然而,这些因素的综合影响还没有得到很好的理解。以北卡罗来纳州为例,我们(i)估计了私人井人口的人口特征;(ii)评估试井记录的代表性;(三)论证空间尺度如何影响良好使用家庭人口统计数据的知识和测试中的代表性。我们利用了20多年来收集的117,960个试井记录的全州数据库和一个预测井位的国家模型。据估计,25%使用良好的家庭是黑人、土著和有色人种(BIPOC), 15%的家庭收入低于贫困线。虽然有可靠的井抽样(平均每年测试4269口井),但我们观察到大多数测试记录主要来自白色区块组(bg)。不参加州测试的使用良好的家庭来自以BIPOC为主的BGs的可能性是以白人为主的BGs的2.4倍。由于井群的空间异质性,使用更高分辨率的数据,井群的人口统计学差异更为明显。需要多方面的测试方法,将政府驱动的努力与参与代表性不足的社区的本地化研究相结合,以促进循证管理。
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来源期刊
环境科学与技术
环境科学与技术 环境科学-工程:环境
CiteScore
17.50
自引率
9.60%
发文量
12359
审稿时长
2.8 months
期刊介绍: Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences. Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.
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