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Flood maps flag contaminated private wells
After Hurricane Florence, 41.2% of tested wells had total coliform and 11.7% E. coli—1.2× and 7.8× routine rates—with higher contamination inside flood boundaries.
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What were post-Florence well contamination rates?
41.2% total coliform and 11.7% E. coli among tested wells.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
How did that compare with routine testing?
1.2× TC and 7.8× EC versus 35.0% and 1.5% routinely.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
How many FEMA-county residents used private wells?
About 518,000 people (20.7% of 2.5 million).
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
Did wells inside flood boundaries have more contamination?
Yes—up to 1.2× TC and 10.9× EC versus wells outside.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
Did the three flood products identify the same dirty wells?
No—TC positivity 40.8–53.1% and EC 10.5–16.3% depending on boundary; none captured all positives.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
How did flood-map areas compare?
100-year floodplain 2.9× and 7.9× larger than HAND and DFO; HAND 2.7× DFO.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
Why is private-well flooding a public-health problem?
Floodwater can connect to wells, raising microbial contamination and GI/birth-outcome risks, while post-disaster testing barriers leave gaps.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
Which hurricane triggered the analysis?
Hurricane Florence, with FEMA designating 28 North Carolina counties.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
Were Harvey impacts similar?
Florence TC/EC increases resembled Harvey (TC 1.2×; Harvey EC 2.8× vs Florence 7.8×).
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified
What did authors conclude about flood maps as predictors?
Inundation extents can help predict well contamination, but product choice changes which wells look at risk.
Source: Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events · DOI · quote verified