Bai Jianwen, Shen Zhenyao, Yan Tiezhu, Qiu Jiali, Li Yangyang
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.
Chinese Academy for Environmental Planning, #8 Dayangfang, Beiyuan Rd., Chaoyang District, Beijing, 100012, China.
Environ Sci Pollut Res Int. 2017 Jun;24(18):15462-15470. doi: 10.1007/s11356-017-9101-7. Epub 2017 May 16.
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.
粪便中的病原体可引发水源性疾病暴发,导致人类患上重病甚至死亡。因此,有关细菌转化和运输的信息对于确定其来源至关重要。在本研究中,应用土壤和水资源评估工具(SWAT)来模拟中国密云水库流域的粪大肠菌群负荷。粪大肠菌群的数据是在三个采样点获得的,分别是陈营(CY)、古北口(GBK)和下会(XH)。粪大肠菌群的校准过程使用CY和GBK站点进行,验证则在XH站点进行。设计了一种区间对区间方法,并将其纳入粪大肠菌群校准和验证过程中。在区间对区间方法的校准和验证过程中,考虑了预测值的95%置信区间和测量值的95%置信区间。与传统的点对点比较相比,该方法可提高模拟精度。结果表明,使用区间对区间方法对该流域粪大肠菌群进行模拟是合理的。该方法可为未来模型校准和验证研究提供新的研究方向。