Chen Xue-Kai, Liu Xiao-Bo, Peng Wen-Qi, Dong Fei, Huang Zhi-Hua, Feng Shun-Xin, Wang Ruo-Nan
Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China.
Huan Jing Ke Xue. 2018 Jan 8;39(1):77-88. doi: 10.13227/j.hjkx.201705061.
The calculation of non-point source (NPS) pollutant loads of nitrogen and phosphorus is the key step in preparing a pollution control plan. This study modified the export coefficient model by taking into account the precipitation, slope, distance between pollution sources and water bodies, and other relevant factors. The NPS pollution load assessment method established in this study can be applied to data-scarce basins and is suitable for plateau lake regions affected by terrain and precipitation. In this study, Chenghai Lake, which belongs to one of the nine major plateau lakes in Yunnan Province, is selected for the case study. This study first verifies the rationality of the improved export coefficient model based on actual observed values, and then utilizes the improved export coefficient model to assess the loads of dissolved nitrogen (DN) and dissolved phosphorus (DP) pollution. As indicated by the results, in 2014, the loads of DN and DP into Chenghai Lake are 158.48 t·a and 24.70 t·a, respectively. The maximum contributions of DN and DP pollution load into Chenghai Lake are from agricultural cultivated land are 46.19% and 48.16%, respectively, in terms of land use. The results present a relatively consistent spatial distribution of DN and DP that indicates that the south bank is a key area for governance. Livestock and rural living are the main pollution sources influencing the load of DN and DP into Chenghai Lake and should be prioritized for control. If the pollution from rural living, livestock, fertilizer loss, and land use can be effectively controlled, the load of DN and DP into Chenghai Lake will be decreased by a maximum of 38.47% and 40.76%, respectively. The results of this study suggest that the improved export coefficient model can be applied for study of the NPS pollution assessment of plateau lake regions and can provide a theoretical basis for the NPS pollution control of the Chenghai Lake basin.
计算氮、磷等非点源(NPS)污染物负荷是制定污染控制计划的关键步骤。本研究通过考虑降水量、坡度、污染源与水体之间的距离等相关因素,对输出系数模型进行了修正。本研究建立的非点源污染负荷评估方法可应用于数据稀缺的流域,适用于受地形和降水影响的高原湖泊地区。本研究选取了云南省九大高原湖泊之一的程海湖作为案例研究对象。本研究首先基于实际观测值验证了改进后的输出系数模型的合理性,然后利用改进后的输出系数模型评估溶解氮(DN)和溶解磷(DP)污染负荷。结果表明,2014年进入程海湖的DN和DP负荷分别为158.48吨/年和24.70吨/年。就土地利用而言,进入程海湖的DN和DP污染负荷的最大贡献分别来自农业耕地,占比分别为46.19%和48.16%。结果显示,DN和DP的空间分布相对一致,表明南岸是治理的重点区域。牲畜养殖和农村生活是影响程海湖DN和DP负荷的主要污染源,应优先加以控制。如果农村生活、牲畜养殖、肥料流失和土地利用造成的污染能够得到有效控制,进入程海湖的DN和DP负荷将分别最多降低38.47%和40.76%。本研究结果表明,改进后的输出系数模型可应用于高原湖泊地区非点源污染评估研究,可为程海湖流域非点源污染控制提供理论依据。