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Spatiotemporal Patterns and Source Attribution of Nitrogen Load in a River Basin with Complex Pollution Sources

机译:复杂污染源流域氮负荷的时空分布特征及氮源特征

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摘要

Environmental problems such as eutrophication caused by excessive nutrient discharge are global challenges. There are complex pollution sources of nitrogen (N) discharge in many river basins worldwide. Knowledge of its pollution sources and their respective load contributions is essential to developing effective N pollution control strategies. N loads from all known anthropogenic pollution sources in the Upper Huai River basin of China were simulated with the process-based SWAT (Soil and Water Assessment Tool) model. The performances of SWAT driven by daily and hourly rainfall inputs were assessed and it was found that the one driven by hourly rainfall outperformed the one driven by daily rainfall in simulating both total nitrogen (TN) and ammonia nitrogen (NH4-N) loads. The hourly SWAT model was hence used to examine the spatiotemporal patterns of TN and NH4-N loads and their source attributions. TN load exhibited significant seasonal variations with the largest in summer and the smallest in spring. Despite its declining proportion of contribution downstream, crop production remained the largest contributor of TN load followed by septic tanks, concentrated animal feedlot operations (CAFOs), municipal sewage treatment plants, industries, and scattered animal feedlot operations (SAFOs). There was much less seasonal variation in NH4-N load. CAFOs remained the largest source of NH4-N load throughout the basin, while contributions from industries and municipal sewage treatment plants were more evident downstream. Our study results suggest the need to shift the focus of N load reduction from “end-of-pipe” sewage treatment to an integrated approach emphasizing stakeholder involvement and source prevention.
机译:全球性挑战是环境问题,例如营养物质过量排放引起的富营养化。全球许多河流流域都有复杂的氮(N)排放污染源。了解其污染源及其各自的负荷贡献对于制定有效的氮污染控制策略至关重要。利用基于过程的SWAT(土壤和水评估工具)模型,模拟了淮河上游流域所有已知的人为污染源的氮负荷。评估了每日和每小时降雨输入驱动的SWAT的性能,发现在模拟总氮(TN)和氨氮(NH4-N)负荷时,每小时降雨驱动的SWAT优于每日降雨驱动的SWAT。因此,每小时的SWAT模型被用来检验TN和NH4-N负荷的时空模式及其来源。总氮负荷表现出明显的季节变化,夏季最大,春季最小。尽管其下游贡献的比例下降,但农作物产量仍然是总氮负荷的最大贡献,其次是化粪池,集中式动物饲养场操作(CAFO),市政污水处理厂,工业和分散动物饲养场操作(SAFO)。 NH4-N负荷的季节变化要少得多。 CAFO仍然是整个流域中最大的NH4-N负荷源,而下游的工业和市政污水处理厂的贡献更为明显。我们的研究结果表明,有必要将减少氮负荷的重点从“管道末端”污水处理转向注重利益相关者参与和源头预防的综合方法。

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