하수에서의 대장균수 확률분포 특성 분석
Statistics and Probability Distribution of Total Coliforms in Wastewater
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참고문헌
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초록
Probability distribution of microbes in wastewater is a crucial factor to be determined for microbial risk assessment associatedwith its reuse. The objective of this study was to investigate probability distribution of an indicator microorganism in wastewater. Daily total coliform counts measured from nationwide wastewater treatment plants in 2010 by the Ministry of Environment wereused for statistical analysis. Basic statistics and probability distributions were estimated in the three different spatial scales using theMS Excel software and FARD2006 model. Overall, wastewater from manure and livestock treatment plants demonstrated greatermedian coliform counts than from sewage and village treatment plants. Generalized logistic (GLO) and 2-parameter Weibull (WBU2)appeared to be the two probability distributions that fitted best for total coliform numbers in wastewater. The study results ofmicrobial statistics and probability distributions would provide useful data for quantitative assessment of microbial risk from agriculturalwastewater reuse.
Abstract
Probability distribution of microbes in wastewater is a crucial factor to be determined for microbial risk assessment associatedwith its reuse. The objective of this study was to investigate probability distribution of an indicator microorganism in wastewater. Daily total coliform counts measured from nationwide wastewater treatment plants in 2010 by the Ministry of Environment wereused for statistical analysis. Basic statistics and probability distributions were estimated in the three different spatial scales using theMS Excel software and FARD2006 model. Overall, wastewater from manure and livestock treatment plants demonstrated greatermedian coliform counts than from sewage and village treatment plants. Generalized logistic (GLO) and 2-parameter Weibull (WBU2)appeared to be the two probability distributions that fitted best for total coliform numbers in wastewater. The study results ofmicrobial statistics and probability distributions would provide useful data for quantitative assessment of microbial risk from agriculturalwastewater reuse.
참고문헌 (13)
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