基于高频监测的巢湖水质对入湖污染响应特征

    Response Characteristics of Lake Chaohu's Water Quality to Inflow Pollution Based on High-Frequency Monitoring

    • 摘要: 厘清湖泊入湖河流水质及污染通量时空动态及其对不同湖区水质波动的影响及贡献,对于湖泊富营养化和藻类水华的精准防控具有重要意义。本研究基于2024年巢湖8条主要河流出入湖断面及湖内8个国控断面的逐日自动监测数据,利用基于水量平衡的径流系数缩放模型推算南淝河等主要入湖河流的逐日流量,结合数值积分法、极差分析与时空双维度方法,系统分析出入湖河流和湖区总氮(TN)、总磷(TP)、氨氮(NH₃-N)等指标浓度和入湖通量时空分布特征,研究湖区各断面对主要河流污染物浓度和入湖污染通量的响应特征。结果显示:(1)杭埠河和南淝河分别贡献了总氮入湖通量的42.4%和25.9%,总磷入湖通量的36.4%和33%,是巢湖氮磷的主要来源;(2)污染物时空波动明显,时间上,总氮与氨氮在冬春季(12月-次年4月)因点源与面源叠加输入出现峰值;总磷与叶绿素a在夏秋季(6月-10月)因降雨径流与藻类活动而同步升高。空间上,呈“西高东低”格局,西湖区受高强度河流输入与水体滞留效应影响,浓度显著高于经历稀释、沉降与降解的中、东湖区。(3)湖区水质对河流输入表现出同步变化与滞后响应。总氮在全湖响应广泛且持久;氨氮响应快速但短暂;总磷的响应则最为复杂,其浓度常因内源释放而在湖区反超河流,并伴随短期正相关后转为负相关的“稀释效应”。空间上,响应强度自西向东显著衰减。

       

      Abstract: Elucidating the spatiotemporal dynamics of water quality and pollutant fluxes in rivers discharging into lakes, along with their impacts and contributions to water quality fluctuations in different lake zones, is crucial for the precise prevention and control of eutrophication and algal blooms. Based on daily automated monitoring data from 2024 collected at sections of eight major rivers in the Lake Chaohu Basin as well as at eight national control stations within the lake body, this study estimated the daily discharge of major inflow rivers such as the Nanfei River using a runoff coefficient scaling model based on water balance. Combined with numerical integration, range analysis, and a spatiotemporal double-dimensional approach, we systematically analyzed the temporal and spatial distribution characteristics of concentrations and inflow fluxes of total nitrogen (TN), total phosphorus (TP), ammonia nitrogen (NH₃-N), and other indicators in the inflow/outflow rivers and the lake zones. The response characteristics of each lake section to the pollutant concentrations and inflow pollution fluxes of the major rivers were investigated. The results revealed that: (1) The Hangbu River and the Nanfei River contributed 42.4% and 25.9% of the total nitrogen inflow flux, and 36.4% and 33.0% of the total phosphorus inflow flux, respectively, identifying them as the primary sources of nitrogen and phosphorus pollution in Lake Chaohu. (2) Pollutant concentrations exhibited significant spatiotemporal fluctuations. Temporally, TN and NH₃-N peaked during winter and spring (December to April) due to combined point and non-point source inputs, whereas TP and chlorophyll-a increased synchronously during summer and autumn (June to October) driven by rainfall runoff and algal activity. Spatially, a "high in the west, low in the east" pattern was observed. The western lake zone, affected by high-intensity river inputs and water retention, showed significantly higher concentrations than the central and eastern zones, where dilution, sedimentation, and degradation processes occur. (3) Dynamic response mechanisms of lake water quality to riverine inputs were characterized by synchronous changes and hysteresis effects. These were manifested as a widespread and persistent response for TN, a rapid yet transient one for NH₃-N, and a highly complex response for TP. The complexity of TP was evidenced by its frequent concentration exceedance in the lake compared to the rivers—driven by internal release—and a "dilution effect" where an initial positive correlation turned negative. A significant west-to-east decay in response strength was evident spatially.

       

    /

    返回文章
    返回