Quantifying Escherichia coli release from soil under high intensity rainfall
Bacterial loading in surface runoff can only be reasonably assessed or predicted with quantitative knowledge of the release of bacteria from the soil under different rainfall conditions. Most studies of bacterial movement were conducted under rainfall intensities of less than 44 mm h-1. However, in...
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| Format: | Article |
| Language: | English |
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American Society of Agricultural and Biological Engineers
2009
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| Online Access: | http://ir.unimas.my/id/eprint/11615/ http://ir.unimas.my/id/eprint/11615/1/Quantifying%20Escherichia.pdf |
| _version_ | 1848837045428944896 |
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| author | Ling, TY Jong, Hse Jun Kasing, Apun Wan Sulaiman, W.H. |
| author_facet | Ling, TY Jong, Hse Jun Kasing, Apun Wan Sulaiman, W.H. |
| author_sort | Ling, TY |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | Bacterial loading in surface runoff can only be reasonably assessed or predicted with quantitative knowledge of the release of bacteria from the soil under different rainfall conditions. Most studies of bacterial movement were conducted under rainfall intensities of less than 44 mm h-1. However, in the tropics, intensities higher than 44 mm h-1 are frequent. In this study, Escherichia coli release from the soil into surface runoff and its distribution in the soil under the impact of heavy rainfall (95 mm h-1) of different durations were investigated. Results of simulated heavy rainfall of different durations on gently sloping grass plots with spray-applied E. coli indicated that E. coli was released with relative ease, resulting in contaminated runoff. Runoff E. coli concentrations ranged from 2.09 log(CFU) mL-1 in 5 min simulated rainfall events to 4.45 log(CFU) mL-1 in 15 min simulated rainfall events. The first simulated rainfall events after spray applications produced the highest concentration of E. coli in the runoff. Runoff loss accounted for 0.001% of the total applied E. coli in 5 min rainfall events and 2.1% in 15 min rainfall events. Total solids explained 28% of the variation in the concentrations and 14% of the total loadings. E. coli concentration in the surface centimeter of the soil explained 80% to 89% of the variations in runoff concentrations and loadings with regression slope of less than unity. Such quantitative relationships have the potential to predict runoff E. coli concentrations under high-intensity rainfall events. |
| first_indexed | 2025-11-15T06:33:25Z |
| format | Article |
| id | unimas-11615 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:33:25Z |
| publishDate | 2009 |
| publisher | American Society of Agricultural and Biological Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-116152023-03-29T08:09:22Z http://ir.unimas.my/id/eprint/11615/ Quantifying Escherichia coli release from soil under high intensity rainfall Ling, TY Jong, Hse Jun Kasing, Apun Wan Sulaiman, W.H. QR Microbiology Bacterial loading in surface runoff can only be reasonably assessed or predicted with quantitative knowledge of the release of bacteria from the soil under different rainfall conditions. Most studies of bacterial movement were conducted under rainfall intensities of less than 44 mm h-1. However, in the tropics, intensities higher than 44 mm h-1 are frequent. In this study, Escherichia coli release from the soil into surface runoff and its distribution in the soil under the impact of heavy rainfall (95 mm h-1) of different durations were investigated. Results of simulated heavy rainfall of different durations on gently sloping grass plots with spray-applied E. coli indicated that E. coli was released with relative ease, resulting in contaminated runoff. Runoff E. coli concentrations ranged from 2.09 log(CFU) mL-1 in 5 min simulated rainfall events to 4.45 log(CFU) mL-1 in 15 min simulated rainfall events. The first simulated rainfall events after spray applications produced the highest concentration of E. coli in the runoff. Runoff loss accounted for 0.001% of the total applied E. coli in 5 min rainfall events and 2.1% in 15 min rainfall events. Total solids explained 28% of the variation in the concentrations and 14% of the total loadings. E. coli concentration in the surface centimeter of the soil explained 80% to 89% of the variations in runoff concentrations and loadings with regression slope of less than unity. Such quantitative relationships have the potential to predict runoff E. coli concentrations under high-intensity rainfall events. American Society of Agricultural and Biological Engineers 2009-05 Article PeerReviewed text en http://ir.unimas.my/id/eprint/11615/1/Quantifying%20Escherichia.pdf Ling, TY and Jong, Hse Jun and Kasing, Apun and Wan Sulaiman, W.H. (2009) Quantifying Escherichia coli release from soil under high intensity rainfall. Transactions of the American Society of Agricultural and Biological Engineers (ASABE), 53 (2). pp. 785-792. ISSN 0001-2351 https://elibrary.asabe.org/abstract.asp?aid=27399 10.13031/2013.27399 |
| spellingShingle | QR Microbiology Ling, TY Jong, Hse Jun Kasing, Apun Wan Sulaiman, W.H. Quantifying Escherichia coli release from soil under high intensity rainfall |
| title | Quantifying Escherichia coli release from soil under high intensity rainfall |
| title_full | Quantifying Escherichia coli release from soil under high intensity rainfall |
| title_fullStr | Quantifying Escherichia coli release from soil under high intensity rainfall |
| title_full_unstemmed | Quantifying Escherichia coli release from soil under high intensity rainfall |
| title_short | Quantifying Escherichia coli release from soil under high intensity rainfall |
| title_sort | quantifying escherichia coli release from soil under high intensity rainfall |
| topic | QR Microbiology |
| url | http://ir.unimas.my/id/eprint/11615/ http://ir.unimas.my/id/eprint/11615/ http://ir.unimas.my/id/eprint/11615/ http://ir.unimas.my/id/eprint/11615/1/Quantifying%20Escherichia.pdf |