不同内外部因素对生态缓冲带氮磷污染净化效果的影响
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1.安徽省•水利部淮河水利委员会水利科学研究院;2.安徽理工大学;3.长江科学院

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X703.1

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国家自然科学基金青年基金“考虑水资源‘量-质’可持续性的跨区域粮食贸易系统建模及动态补偿研究:基于粮食—水—能源—生态视角”(52309001);安徽省自然科学基金“淮北平原区水美乡村建设的关键技术研究”(2208085US10)和“生态清洁小流域综合治理区水一土一养分流失协同调控机制及关键技术研究”(2408055US009);安徽省(水利部淮河水利委员会)水利科学研究院青年创新计划项目“面向水污染防治的乡村滨水岸带结构配置及种类优选研究”(KY202201)


The influence of different internal and external factors on the purification efficiency of nitrogen and phosphorus pollution in ecological buffer zones
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    摘要:

    [目的]生态缓冲带对面源污染的净化效果会受到许多内外部因素的综合影响,但影响程度尚不明确。[方法]本文基于正交试验设计思路选取植被配置方式、坡度两个内部因素以及入流污染物浓度、入流流量两个外部因素,系统探究生态缓冲带在不同内外部因素综合作用下对径流和渗流水体中氮、磷污染物的净化效果,并利用极差分析法分析不同内外部因素对生态缓冲带截污能力的影响程度。[结果]结果表明:生态缓冲带对地下渗流中TN、TP的削减效果(21.31%和29.80%)明显好于对地表径流中TN、TP的削减效果(16.91%和23.04%),复合植被配置生态缓冲带截污效果好于纯草本配置,其中灌木+草本截污效果最好,对地表径流和地下渗流中TN和TP的平均削减率分别为20.16%、27.24%以及24.54%、33.89%;对生态缓冲带截污能力影响最大的因素是植被配置类型,其次是入流污染物浓度,再次是坡度,最后是入流流量,并且随着缓冲带坡度、入流流量和入流污染物浓度增大,不同植被配置缓冲带对污染物的削减率总体均呈下降趋势。[结论]本研究基于正交试验和极差分析法确定了不同内外部因素对生态缓冲带截污能力的影响程度,研究结论可以为开展生态缓冲带农业面源污染防治研究和应用提供技术支撑。

    Abstract:

    [Objective] The effectiveness of ecological buffer zones (EBZs) in mitigating non-point source pollution is influenced by multiple internal and external factors, whose relative significance remains incompletely understood. [Methods] Using an orthogonal experimental design, this study systematically evaluated the purification capacity of EBZs for nitrogen (TN) and phosphorus (TP) pollutants in both surface runoff and subsurface flow. Two internal factors (vegetation configuration and slope gradient) and two external factors (influent pollutant concentration and hydraulic loading rate) were investigated. Range analysis was applied to quantify the relative contributions of these factors to pollutant removal efficiency. [Results] The findings reveal that EBZs exhibited significantly higher removal efficiencies for TN and TP in subsurface flow (21.31% and 29.80%, respectively) than in surface runoff (16.91% and 23.04%). Composite vegetation buffers (particularly shrub+herb configurations) outperformed monoculture herbaceous strips, achieving average removal rates of 20.16% (TN) and 27.24% (TP) in runoff, and 24.54% (TN) and 33.89% (TP) in subsurface flow. Factor influence hierarchy was: vegetation configuration (most dominant) > influent concentration > slope gradient > flow rate (least influential). Pollutant removal efficiency decreased with increasing slope gradient, flow rate, and influent concentration across all vegetation types. [Conclusion] Through orthogonal testing and range analysis, this study quantitatively ranks the effects of key factors on EBZ performance. The results provide actionable technical guidance for optimizing EBZs designs to control agricultural non-point source pollution.

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  • 收稿日期:2025-05-06
  • 最后修改日期:2025-06-16
  • 录用日期:2025-06-17
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