巢湖流域典型入湖河流氮磷通量及其趋势变化(2019-2024年)
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1.南京信息工程大学地理科学学院;2.中国科学院南京地理与湖泊研究所,湖泊与流域水安全全国重点实验室;3.台州市黄岩区环境保护监测站;4.安徽农业大学资源与环境学院

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基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目);科技部重点研发项目;中国科学院青促会项目


Spatiotemporal Dynamics and Hydrological Drivers of Nitrogen and Phosphorus Fluxes in a Major Inflow River of Chaohu Lake Based on Comparative Load Estimation Methods,2019-2024
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State Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan);National Key R&D Program of China;Youth Innovation Promotion Association

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    摘要:

    入湖河流是湖泊外源营养盐输入的主要通道,其氮(N)和磷(P)通量变化直接影响湖泊富营养化进程及藻华风险。为准确评估巢湖流域典型入湖河流的污染物输出特征与驱动机制,本研究以巢湖最大入湖支流-杭埠河为研究对象,基于时段通量估算法、Load Estimator(LOADEST)模型和WRTDS模型对2019~2024年上游姚家河站,中游河口大桥站,中下游三河镇新大桥站和下游北闸渡口站水文-水质数据进行了通量估算与趋势分析。时段通量估算法虽计算简单,但误差较大,相比之下,LOADEST模型在巢湖流域适用性更强,其估算结果与实测日通量的吻合度显著优于WRTDS模型。结果证实,LOADEST模型在流量记录连续、水质监测相对稀疏的条件下拟合效果最佳(R2=0.89~0.97,NSE=0.84~0.98),可稳定重建连续通量序列;进一步,采用LOADEST模型估算了杭埠河总氮(TN)和总磷(TP)通量,研究发现氮磷通量时空变化剧烈。比如,入湖口断面,丰水期(5~9月)贡献全年通量的68%~77%(TN)和72%~81%(TP),单次暴雨事件(61.8mm)输出量可高达月通量的73%,呈脉冲式输出特征;空间上,TN与TP通量均自上游向下游递增,下游北闸渡口断面年通量分别达4.24×106 kg N yr-1和2.25×105 kg P yr-1,为上游的10~17倍。趋势分解结果显示,近五年杭埠河入湖TN通量呈持续上升趋势,而TP通量略有下降,表明氮负荷积累效应仍然突出,而磷输出已出现阶段性缓解。综上,流域通量变化受水文过程与人类活动双重驱动,高强度的降雨事件加剧了下游农业、城镇排放等污染对入巢湖的负荷贡献。研究结果可为新时期巢湖流域外源负荷评估、污染控制及藻华风险防控提供科学依据与管理支撑。

    Abstract:

    Rivers entering the lake constitute the primary pathways for external nutrient inputs, and variations in nitrogen (N) and phosphorus (P) fluxes directly influence lake eutrophication and the risk of algal blooms. To accurately assess the pollutant export characteristics and driving mechanisms of typical inflow rivers in the Chaohu Basin, this study focuses on the Hangbu River, the largest tributary discharging into Chaohu Lake. Using the period-average flux method, the Load Estimator (LOADEST) model, and the WRTDS model, fluxes and long-term trends were estimated for hydrological and water-quality data from 2019 to 2024 at four stations along the river: Yaojiahe (upstream), Hekou Bridge (midstream), Sanhe Town Bridge (mid-downstream), and Beizhadukou (downstream). The period-average method is computationally simple but produces large errors. In comparison, the LOADEST model performs better in the Chaohu Basin and achieves substantially higher agreement with observed daily fluxes than the WRTDS model. The results show that LOADEST performs best under conditions of continuous discharge records and relatively sparse water-quality measurements, with R2 values of 0.89 to 0.97 and NSE values of 0.84 to 0.98, allowing stable reconstruction of continuous flux series. Based on LOADEST, the estimated total nitrogen (TN) and total phosphorus (TP) fluxes exhibit strong temporal and spatial variability. At the lake-inlet section, the wet season from May to September contributes 68 to 77 percent of annual TN flux and 72 to 81 percent of annual TP flux. A single storm event with 61.8 mm of rainfall can generate as much as 73 percent of the monthly flux, revealing a pronounced pulse-like export pattern. Spatially, TN and TP fluxes increase progressively from upstream to downstream, and the annual fluxes at the Beizhadukou section reach 4.24×106 kg N per year and 2.25×105 kg P per year, which are 10 to 17 times higher than those upstream. Trend decomposition indicates that TN flux into the lake has continued to rise over the past five years, whereas TP flux shows a slight decline, suggesting persistent nitrogen accumulation but a temporary easing of phosphorus export. Overall, flux variations are jointly driven by hydrological processes and human activities. Intense rainfall events amplify the contributions of agricultural and urban pollution to nutrient loading at downstream sections. These findings provide scientific support for external load assessment, pollution control, and algal bloom risk management in the Chaohu Basin under current environmental conditions.

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  • 收稿日期:2025-12-03
  • 最后修改日期:2026-01-26
  • 录用日期:2026-03-04
  • 在线发布日期: 2026-06-05
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