Wang You-Xiao, Huang Chong, Liu Gao-Huan, Zhao Zhong-He, Li He, Liu Qing-Sheng
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Huan Jing Ke Xue. 2022 Aug 8;43(8):4032-4041. doi: 10.13227/j.hjkx.202111302.
Taking the Yellow River Delta as a typical research area, we constructed a coastal agricultural TN and TP non-point source pollution estimating model by analyzing the relationship between the surface soil pollutant loss risks and the monitored pollutant flux into the sea. On this basis, TN and TP non-point source export coefficients of paddy fields, irrigated land, and dry land were calculated, and the verification showed that the estimated export coefficients were acceptable. In the study area, the TN and TP export coefficients into the sea of arable land were 18.33 kg·(hm·a) and 1.02 kg·(hm·a), respectively. The agricultural non-point source pollution loads of arable land were relatively high in summer. The sub-basins with larger agricultural non-point source pollution loads were mainly located in the control areas of the Zhimai River, Guangli River, and Xiaodao River. The administrative regions with larger total agricultural TN and TP loads were mainly in the northern Huanghekou Town and Yong'an Town, and areas with larger loads per unit area were in the southwest. Therefore, it is necessary to pay more attention to the temporal effects of agricultural non-point source pollution, simultaneously coordinate the social and economic development, and formulate comprehensive agricultural non-point source pollution prevention and control strategies from the perspective of sub-basins and administrative units. This will allow us to improve the offshore pollution status from the perspective of land and sea coordination.
以黄河三角洲为典型研究区域，通过分析表层土壤污染物流失风险与入海监测污染物通量之间的关系，构建了沿海农业总氮和总磷非点源污染估算模型。在此基础上，计算了水田、灌溉地和旱地的总氮和总磷非点源输出系数，验证表明估算的输出系数是可接受的。研究区域内，耕地入海总氮和总磷输出系数分别为18.33 kg·(hm·a)和1.02 kg·(hm·a)。夏季耕地农业非点源污染负荷相对较高。农业非点源污染负荷较大的子流域主要位于支脉河、广利河和小清河的控制区域。农业总氮和总磷负荷总量较大的行政区主要位于北部的黄河口镇和永安镇，单位面积负荷较大的区域位于西南部。因此，有必要更加关注农业非点源污染的时间效应，同时协调社会经济发展，从子流域和行政单元的角度制定综合的农业非点源污染防治策略。这将使我们能够从陆海统筹的角度改善近岸污染状况。
