Lin Z, Radcliffe D E, Beck M B, Risse L M
BCI Engineers & Scientists, Inc., Lakel, FL 33803, USA.
Water Sci Technol. 2007;56(6):29-37. doi: 10.2166/wst.2007.584.
The Uniform Covering by Probabilistic Rejection (UCPR) algorithm was used, in conjunction with the Soil and Water Assessment Tool (SWAT) model, to identify P loads from point source and nonpoint source polluters in the upper Etowah River basin (UERB) in Georgia. The key findings of the research are as follows. The mean absolute error was preferred over the root mean square error as a search criterion for the UCPR algorithm when water quality observations are scarce. The undocumented P load from point sources in the UERB was consistently estimated as about 43 kg/d by the proposed method; but the method was not able to identify the broiler litter application rate to the poultry/beef operation pastures. Point sources (both documented and undocumented), poultry/beef operation pastures, and forests are the three major contributors of P. During 1992-1996, on average they accounted for 36.4, 31.7, and 17.2% of P load from the UERB, respectively.
采用概率性拒绝统一覆盖（UCPR）算法，并结合土壤与水资源评估工具（SWAT）模型，来识别佐治亚州埃托瓦河上游流域（UERB）点源和非点源污染者的磷负荷。该研究的主要发现如下。当水质观测数据稀缺时，作为UCPR算法的搜索标准，平均绝对误差比均方根误差更受青睐。通过所提出的方法，UERB点源中未记录的磷负荷始终被估计为约43千克/天；但该方法无法确定家禽/牛肉养殖场牧场的肉鸡粪便施用量。点源（包括记录在案的和未记录的）、家禽/牛肉养殖场牧场和森林是磷的三大主要来源。在1992 - 1996年期间，它们平均分别占UERB磷负荷的36.4%、31.7%和17.2%。
