School of Renewable Energy, North China Electric Power University, Beijing, 102206, China.
State Key Laboratory of Water Cycle and Related Land Surface Process, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Science, Beijing, 100101, China.
Environ Sci Pollut Res Int. 2019 Jan;26(2):1336-1354. doi: 10.1007/s11356-018-3574-x. Epub 2018 Nov 13.
From the perspective of river basin refined management and pollution control of water bodies, a transboundary river basin and its regional pollutant sources are identified and the typical status of discharging processes of different pollutant sources are screened. Then organic connection which can comprehensively reflect and dynamically characterize the discharge of transboundary water pollutants is constructed. In addition, the integrated prediction (IP) model of the transboundary river basin and its regional water pollutants discharge is established. Finally, the dynamic simulation of typical status characteristics of the transboundary river basin and its regional pollutant sources discharge as well as the tempo-spatial changing pattern of pollutant discharge intensity is conducted in this paper. This paper selected the Songhua River basin as an example where planting, industry, household (urban living and rural living), and livestock and poultry are the main pollutant sources. The dynamic simulation of water pollution discharge in Songhua River basin during the 13th Five-year Plan and its tempo-spatial changing trend analysis are conducted by employing the established IP model of transboundary river basin water pollution discharge. The results show that during the 13th Five-year Plan, through comprehensive management and control of pollutant sources in Songhua River basin, the discharge amounts of different pollutant sources (planting, industry, household, livestock, and poultry) present an overall decreasing trend and the main pollutants discharge intensity decreases significantly year by year. It is demonstrated that pollution discharge in Songhua River basin is controlled effectively.
从流域精细化管理和水体污染控制的角度出发,对跨界流域及其区域污染源进行识别,并筛选不同污染源排放过程的典型状态。然后构建能全面反映和动态刻画跨界水污染物排放的有机联系。此外,建立跨界流域及其区域水污染物排放的综合预测(IP)模型。最后,对跨界流域及其区域污染源排放的典型状态特征以及污染物排放强度的时空间变化模式进行动态模拟。本文选取松花江流域为例,种植业、工业、生活(城镇生活和农村生活)、畜牧业和家禽养殖业是主要的污染源。通过建立跨界流域水污染排放的 IP 模型,对松花江流域“十三五”期间的水污染排放进行动态模拟,并对其时空间变化趋势进行分析。结果表明,“十三五”期间,通过对松花江流域污染源的综合治理,不同污染源(种植业、工业、生活、畜牧业和家禽养殖业)的排放量呈总体下降趋势,主要污染物排放强度逐年显著下降,表明松花江流域的污染排放得到了有效控制。