Persistent Patterns of E. coli Concentrations in Two Irrigation Ponds from 3 Years of Monitoring

Small to medium irrigation ponds provide substantial quantities of water for irrigation in the Mid-Atlantic region of the U.S. The concentrations of the fecal indicator organism Escherichia coli ( E. coli ) are used to evaluate the microbial water quality of irrigation sources. Little is known about...

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Veröffentlicht in:Water, air, and soil pollution air, and soil pollution, 2021-12, Vol.232 (12), Article 492
Hauptverfasser: Stocker, Matthew D., Pachepsky, Yakov A., Smith, Jaclyn, Morgan, Billie, Hill, Robert L., Kim, Moon S.
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Sprache:eng
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Zusammenfassung:Small to medium irrigation ponds provide substantial quantities of water for irrigation in the Mid-Atlantic region of the U.S. The concentrations of the fecal indicator organism Escherichia coli ( E. coli ) are used to evaluate the microbial water quality of irrigation sources. Little is known about the spatiotemporal variability of E. coli concentrations in pond water and the possible effects on monitoring and management of the microbial quality of irrigation water from these ponds. The objective of this work was to test the hypotheses that (a) spatial patterns of E. coli concentrations exist that are preserved both intra- and interannually, and (b) persistent spatial patterns in water quality parameters exist and correlate with persistent patterns of E. coli concentrations. Sampling was conducted fortnightly during the summer months in 2016 to 2018 and consisted of taking water quality measurements at 23 and 34 locations in ponds P1 and P2, respectively. Interannual variability of E. coli was observed in both ponds as was substantial spatial variability of E. coli concentrations within each year. The mean relative difference (MRD) analysis was used to identify temporally stable patterns of E. coli concentrations within the ponds. These patterns found for individual years showed significant positive correlations with each other and with the overall pattern derived from the 3-year dataset. Correlation coefficients of patterns varied from 0.487 to 0.842 in P1 and from 0.467 to 0.789 in P2 ( p  
ISSN:0049-6979
1573-2932
DOI:10.1007/s11270-021-05438-z