Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences (CAAS), Beijing 10081, China.
Key Laboratory of Nonpoint Source Pollution Control, Ministry of Agriculture, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences (CAAS), Beijing 10081, China.
Sci Total Environ. 2018 Dec 15;645:1212-1220. doi: 10.1016/j.scitotenv.2018.06.354. Epub 2018 Jul 21.
Over recent decades, Taihu Lake, the third largest freshwater lake in China, has borne the brunt of intensive human activities. Non-point source pollutants and discharges of domestic wastewater are now the main cause of eutrophication. To control non-point source pollution, it is useful to have a good understanding of the spatial and temporal distribution of N (nitrogen). In this study, we applied Export Coefficient Model (ECM) and the Net Anthropogenic Nitrogen Inputs (NANI) method to estimate the N loads in the Taihu Basin at county scale since 1980. We found that N inputs and exports had increased from 6432 and 3170 kg N km yr in 1980 to 9722 and 4582 kg N km yr in 2010, respectively. The 151% increase of N inputs, but 144% increase of riverine N outputs suggested the more N was retained within the Taihu Basin. Both the population density and the urban areas were strongly correlated with N inputs and exports. Approximately 38% of the N inputs were exported in 2010, but only 19% were exported in 1980. This ratio illustrated that human activities, especially urbanization and population growth, have upset N budget in the Taihu Basin. This study supported by empirical models provides a case to demonstrate the N cascade in the Taihu Basin and can also be used to support decision making and to facilitate the development of measures to control N in the future.
近几十年来,中国第三大淡水湖太湖承受了密集的人类活动的冲击。非点源污染物和生活污水的排放现在是富营养化的主要原因。为了控制非点源污染,了解氮(N)的时空分布情况是很有帮助的。在这项研究中,我们应用了输出系数模型(ECM)和净人为氮输入(NANI)方法,以估算自 1980 年以来太湖流域县级尺度的 N 负荷。我们发现,N 的输入和输出从 1980 年的 6432 和 3170kgNkmyr 增加到 2010 年的 9722 和 4582kgNkmyr。N 输入增加了 151%,而河流 N 输出增加了 144%,这表明更多的 N 被保留在太湖流域内。人口密度和城市面积与 N 的输入和输出呈强烈相关。2010 年,约有 38%的 N 输入被输出,但在 1980 年仅输出了 19%。这一比例表明,人类活动,尤其是城市化和人口增长,已经打破了太湖流域的 N 平衡。本研究通过实证模型提供了一个案例,说明了太湖流域的 N 级联效应,也可以用于支持决策,并为未来控制 N 提供措施的发展。