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Environ Sci Pollut Res Int. 2017 Jun;24(18):15462-15470. doi: 10.1007/s11356-017-9101-7. Epub 2017 May 16.

Predicting fecal coliform using the interval-to-interval approach and SWAT in the Miyun watershed, China.

Author information

1
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
2
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China. zyshen@bnu.edu.cn.
3
Chinese Academy for Environmental Planning, #8 Dayangfang, Beiyuan Rd., Chaoyang District, Beijing, 100012, China.

Abstract

Pathogens in manure can cause waterborne-disease outbreaks, serious illness, and even death in humans. Therefore, information about the transformation and transport of bacteria is crucial for determining their source. In this study, the Soil and Water Assessment Tool (SWAT) was applied to simulate fecal coliform bacteria load in the Miyun Reservoir watershed, China. The data for the fecal coliform were obtained at three sampling sites, Chenying (CY), Gubeikou (GBK), and Xiahui (XH). The calibration processes of the fecal coliform were conducted using the CY and GBK sites, and validation was conducted at the XH site. An interval-to-interval approach was designed and incorporated into the processes of fecal coliform calibration and validation. The 95% confidence interval of the predicted values and the 95% confidence interval of measured values were considered during calibration and validation in the interval-to-interval approach. Compared with the traditional point-to-point comparison, this method can improve simulation accuracy. The results indicated that the simulation of fecal coliform using the interval-to-interval approach was reasonable for the watershed. This method could provide a new research direction for future model calibration and validation studies.

KEYWORDS:

Fecal coliform; Interval-to-interval approach; Miyun reservoir watershed; SWAT; Water quality

PMID:
28512705
DOI:
10.1007/s11356-017-9101-7
[Indexed for MEDLINE]

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