潮白河流域上游地表水硝酸盐来源解析及其季节性差异

Quantitative analysis and seasonal differences of nitrate sources in upper reaches of Chao-Bai River Basin

  • 摘要: 潮白河流域作为华北地区重要水源地及典型的农业-城市化复合生态系统, 其地表水硝酸盐污染问题对区域水资源安全及生态健康构成严峻挑战。本文以潮白河流域上游河段为研究对象, 于2022年旱季(2月、4月)和雨季(7月)采集潮河与白河不同土地利用类型河段的地表水样品, 结合水化学、氮氧同位素及SIAR贝叶斯混合模型, 系统解析了流域硝酸盐时空分异特征及迁移转化规律, 揭示硝酸盐在不同时间尺度和土地利用类型影响下污染来源变化规律。研究结果表明, 1)硝酸盐浓度呈现显著的时空异质性, 2月潮白河硝酸盐浓度均值最高(潮河48.5 mg·L−1, 白河25.7 mg·L−1), 4月河流中大量藻类及水生植物同化作用使潮白河硝酸盐浓度降低, 7月白河流域支流受雨季面源污染输入影响导致河流中硝酸盐浓度升高。受农业活动影响, 以农田为主的河段硝酸盐浓度变化幅度显著高于以森林为主的河段。2)多方法源解析表明, 硝酸盐来源贡献率为降水和土壤氮(55.3%~86.7%)>生活污水/有机肥(10.2%~28.8%)>化肥(3.1%~18.9%); 雨季受降水驱动作用导致土壤中氮素淋失, 生活污水/有机肥和化肥的输入占比较旱季分别提高约1倍和3~6倍, 但生活污水/有机肥占比(12.6%~28.8%)仍显著高于化肥(9.9%~18.9%)。3)空间上, 在农田主导的白河化肥输入占比4月较2月的降幅高于同期的潮河, 而4月较2月的生活污水/有机肥输入增幅高于潮河, 表明白河流域农田氮淋失能力强于潮河流域。研究揭示了自然水文过程与人为活动耦合作用下, 潮白河流域不同河段地表水硝酸盐分布及来源变化机制, 为京津冀农业面源污染治理与流域可持续发展提供科学依据。

     

    Abstract: The Chao-Bai River Basin, serving as a crucial water source area in the North China and a typical agricultural-urban coupled ecosystem, faces severe challenges to regional water security and ecological health due to nitrate pollution in its surface waters. This study focuses on the upper reaches of the Chao-Bai River Basin. Surface water samples were collected from different land-uses during the dry season (February and April) and the wet season (July) of 2022. The combined use of hydrochemistry, nitrogen and oxygen isotopes, and the SIAR Bayesian mixing model were used to evaluate nitrate sources and transformation processes, revealing the changing trends of nitrate pollution sources under the influence of different time scales and land use types. First, the results showed that there were significant spatial and temporal differences in nitrate concentrations. In February, the highest average nitrate concentrations were in the Chao-Bai River, with 48.5 mg/L in the Chao River and 25.7 mg/L in the Bai River. In April, nitrate concentrations declined due to assimilation by algae and aquatic plants. In July, elevated nitrate concentrations in the Bai River resulted from non-point source pollution from tributaries during the rainy season. The river sections dominated by agricultural activities demonstrated significantly higher variability in nitrate concentrations compared to those in in forested areas, highlighting the substantial impact of farming activities on water quality. Second, the SIAR model showed that main nitrate sources were precipitation and soil nitrogen, domestic sewage/manure, and chemical fertilizers, which contribution rates were 55.3%−86.7%, 10.2%−28.8%. and 3.1%−18.7%, respectively. During the rainy season, precipitation-driven nitrogen leaching increased domestic sewage/manure and fertilizer inputs by approximately 2-fold and 3−6 fold compared to the dry season, respectively. Nevertheless, domestic sewage/manure contributions (12.6%−28.8%) remained significantly higher than fertilizers (9.9%−18.9%). At the spatial scale, the Bai River Basin, which is predominantly agricultural land, exhibited greater reductions in fertilizer-derived nitrate contributions from February to April compared to the contemporaneous Chao River Basin, while showing a greater increase in domestic sewage and manure inputs during the same period. This spatial pattern indicates stronger nitrogen leaching capacity from farmland in the Bai River watershed than in the Chao River watershed. The study systematically elucidates the underlying mechanisms controlling nitrate distribution patterns and source variations in surface waters across different reaches of the Chao-Bai River Basin, revealing their complex interactions with natural hydrological processes and anthropogenic activities. To provide a basis for the analysis of nitrate sources and pollution control in Chao-Bai River Basin and even rivers in other semi humid to semi-arid regions. These findings also provide a scientific foundation for managing agricultural non-point source pollution and promoting sustainable watershed development in the Beijing-Tianjin-Hebei region.

     

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