Fecal contamination of water sources is an important water quality issue for agricultural irrigation ponds. concentrations are commonly used to evaluate recreational and irrigation water quality. We hypothesized that there may exist temporally stable spatial patterns of concentrations across ponds, meaning that some areas mostly have higher and other areas mostly lower than average concentrations of To test this hypothesis, we sampled two irrigation ponds in Maryland at nodes of spatial grids biweekly during the summer of 2016. Environmental covariates-temperature, turbidity, conductivity, pH, dissolved oxygen, chlorophyll , and nutrients-were measured in conjunction with concentrations. Temporal stability was assessed using mean relative differences between measurements in each location and averaged measurements across ponds. Temporally stable spatial patterns of concentrations and the majority of environmental covariates were expressed for both ponds. In the pond interior, larger relative mean differences in chlorophyll corresponded to smaller mean relative differences in concentrations, with a Spearman's rank correlation coefficient of 0.819. Turbidity and ammonium concentrations were the two other environmental covariates with the largest positive correlations between their location ranks and the concentration location ranks. Tenfold differences were found between geometric mean concentrations in locations that were consistently high or consistently low. The existence of temporally stable patterns of concentrations can affect the results of microbial water quality assessment in ponds and should be accounted for in microbial water quality monitoring design. The microbial quality of water in irrigation water sources must be assessed to prevent the spread of microbes that can cause disease in humans because of produce consumption. The microbial quality of irrigation water is evaluated based on concentrations of as the indicator organism. Given the high spatial and temporal variability of concentrations in irrigation water sources, recommendations are needed on where and when samples of water have to be taken for microbial analysis. This work demonstrates the presence of a temporally stable spatial pattern in the distributions of concentrations across irrigation ponds. The ponds studied had zones where concentrations were mostly higher than average and zones where the concentrations were mostly lower than average over the entire observation period, covering the season when water was used for irrigation. Accounting for the existence of such zones will improve the design and implementation of microbial water quality monitoring.
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http://dx.doi.org/10.1128/AEM.01876-17 | DOI Listing |
Environ Sci Pollut Res Int
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Department of Environmental Health Engineering, School of Public Health, Mazandaran University of Medical Sciences, Sari, Iran.
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Shanghai Key Lab for Urban Ecological Processes and Eco-Restorations, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China; Center for Global Change and Ecological Forecasting, Institute of Eco-Chongming, Shanghai, China. Electronic address:
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December 2024
College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, PR China; China-Ireland International Cooperation Centre for Food Material Science and Structural Design, Fuzhou 350002, China.
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Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, Shaanxi 712100, PR China; College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi 712100, PR China.
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