山东沿海城市水环境氮输入时空分布特征及其驱动因素

Spatial-Temporal Distribution Characteristics and Driving Factors of Nitrogen Input in Water Environment of Coastal Cities in Shandong Province

  • 摘要: 人类活动导致氮在城市生态系统中大量聚集,进而加剧近岸海域的氮污染,氮污染治理面临挑战。选取作为国家发展重要引擎与对外交流窗口的山东沿海城市为研究对象,基于物质流分析构建山东沿海城市水环境氮负荷模型,量化沿海城市水环境氮输入特征及贡献率。利用氮代谢效率指标揭示各城市氮减排潜力和差异,进而识别各城市水环境氮输入的主要影响因素。结果表明:①2002—2021年山东沿海各城市中威海、青岛、潍坊以及滨州的水环境氮输入强度(NEI)较高,超过山东沿海各城市平均水平(35 kg/hm2)。各城市的NEI相对于各自年均值的偏离程度变化趋势呈现出显著差异,展现出氮污染控制的不稳定性。②从排放结构来看,作物种植、畜禽养殖及水产养殖业为主要排放源,且居民消费与废物处理子系统亦贡献显著。工业制造水环境氮输入得到控制,大气氮沉降趋势加剧。③畜禽养殖子系统氮环境损失率较高,具有显著的减排潜力。各城市水环境氮输入受到多种因素的差异化影响,但各城市的NEI均与单位农田面积施氮量呈正相关。研究显示,山东沿海城市水环境氮输入时空分布特征明显,我国的相关管理措施对其氮污染控制具有积极的促进作用。各城市应针对关键子系统制定有效策略,实现氮素的有效减排,促进水环境质量的改善。

     

    Abstract: Human activities have led to a substantial accumulation of nitrogen in urban ecosystems, exacerbating nitrogen pollution in coastal waters. Addressing this pollution poses significant challenges. Shandong's coastal cities, as pivotal drivers of national development and gateways to the world, were selected as the focus of this research. Utilizing material flow analysis, we constructed a model to assess nitrogen load in the aquatic environment of these cities, quantifying nitrogen input characteristics and their contributions. Nitrogen metabolism efficiency indicators were employed to uncover potential nitrogen reduction capacities and variations among the cities. Subsequently, the primary factors influencing nitrogen inputs to the water environment in each city were identified. The findings revealed that: (1) From 2002 to 2021, the nitrogen input intensity in the water environment in Weihai, Weifang and Binzhou exceeded the average level of 35 kg/hm2 for Shandong´s coastal cities. The variation trends in the intensity of nitrogen input across cities, relative to their respective averages, exhibit distinct characteristics, highlighting the instability in nitrogen pollution control. (2) In terms of emission structure, crop cultivation, livestock and poultry breeding, as well as aquaculture, are the primary sources of nitrogen emission. Household consumption and waste treatment subsystems also contribute significantly. Meanwhile, nitrogen input from industrial manufacturing was controlled, while the atmospheric nitrogen deposition exhibited an increasing trend. (3) The nitrogen environmental loss rates for livestock and poultry breeding subsystems were high, indicating substantial potential for emission reduction. Nitrogen input into the water environments of different cities is influenced by a variety of factors. Nonetheless, a consistently positive correlation exists between nitrogen input and the rate of nitrogen application per unit of agricultural land across these cities. This research underscores the distinct spatial and temporal distribution characteristics of nitrogen input in the water environment of Shandong´s coastal cities. China′s targeted management strategies have been instrumental in fostering positive advancements in controlling nitrogen pollution in these regions. Each city should develop effective strategies for key subsystems to achieve nitrogen emission reduction and enhance the quality of the aquatic environment.

     

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