Predicting coliform presence in private wells as a function of well characteristics, parcel size and leachfield soil rating.

作者: Claudio Owusu , Gary S. Silverman , David S. Vinson , Rajib Paul , Kathleen M. Baker

DOI: 10.1016/J.SCITOTENV.2020.143701

关键词:

摘要: Abstract Public water systems must be tested frequently for coliform bacteria to determine whether other pathogens may present, yet no testing or disinfection is required private wells. In this paper, we identify well age, type of well, depth, parcel size, and soil ratings a leachfield can predict the probability detecting in wells using multivariate logistic regression model. Samples from 1163 were analyzed presence between October 2017 2019 across Gaston County, North Carolina, USA. The maximum age was 30 years, bored (median age = 24 years) older than drilled age = 19 years). Bored shallower (mean depth = 18 m) compared depth = 79 m). We found 329 samples, including 290 1091 39 72 model results showed 4.76 times more likely contain that likelihood significantly increased with suggesting those constructed before standards enforced 1989 at higher risk. significant association poorly rated soils leachfield, size having These findings leveraged areas concern encourage users take action reduce their risk drinking possible water.

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