Seasonal identification of phosphorus sources in typical urban lakes based on phosphate oxygen isotope technology
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摘要:
磷的来源及含量是决定地表水体富营养化发生的关键因素,城市复合污染湖泊多源磷的季节性定量溯源仍是技术难点,精准识别不同季节磷污染源的贡献占比,是实现磷污染差异化管控的重要基础。本研究以典型城市湖泊汤逊湖为研究区,综合采用野外观测、磷酸盐氧同位素组成分析,结合贝叶斯 MixSIAR 同位素混合模型模拟方法,定量解析不同季节磷污染来源及其对湖水溶解性无机磷(DIP)的贡献比例。MixSIAR 模型计算表明,丰水期城市雨洪污水对湖水 DIP 贡献最大,占比为 35.8%,其次是生活污水(18.9%)和鱼塘水(15.9%);枯水期城市雨洪污水对湖水 DIP 贡献量为 30.7%,生活污水为 21.4%,鱼塘水为 18.7%。整体来看,城市雨洪污水对湖水 DIP 的贡献占比最大,但存在显著季节性差异,该差异主要由夏季降水偏多耦合较强的微生物降解作用共同导致。若干未知磷源共同构成了稳定贡献体系,最终导致未知来源对湖水 DIP 的贡献未表现出明显的季节性差异。本研究明确了典型复合污染城市湖泊水体磷来源的季节性贡献特征,同时指出内源、隐性点源等未知磷源的识别仍有待深化,为同类型湖泊的磷污染精准溯源与针对性管控提供了科学依据和技术借鉴。
Abstract:ObjectiveThe source and concentration of phosphorus are key factors determining the occurrence of eutrophication in surface water. However, seasonal quantitative source apportionment of multi-source phosphorus remains a major technical bottleneck for urban compound-polluted lakes. Accurately identifying the seasonal contribution of different phosphorus pollution sources serves as an important basis for realizing differentiated phosphorus pollution control.
MethodsThis study focused on Tangxun Lake (a typical urban lake) as the study area. It comprehensively adopted methods including field observation and phosphate oxygen isotope composition analysis, combined with the Bayesian MixSIAR isotope-mixing model for simulation, to quantitatively analyze phosphorus pollution sources in different seasons and their contribution to dissolved inorganic phosphorus (DIP) in lake water.
ResultsThe MixSIAR model calculation showed that during the wet season, urban stormwater sewage contributed the most to DIP in lake water, accounting for 35.8%, followed by domestic sewage (18.9%) and fish pond water (15.9%). During the dry season, the contribution of urban stormwater sewage to DIP in lake water was 30.7%, while that of domestic sewage was 21.4% and fishpond water was 18.7%. Overall, urban stormwater sewage had the highest contribution to DIP in lake water, but there were significant seasonal differences. These differences were mainly caused by the combined effects of higher summer precipitation and stronger microbial degradation. Several unknown phosphorus sources jointly formed a stable contribution system, ultimately resulting in no significant seasonal variation in the contribution of unknown sources to DIP in lake water.
ConclusionThis study clarifies the seasonal contribution characteristics of phosphorus sources in a typical urban lake with complex pollution, and points out that the identification of unknown phosphorus sources such as internal-source phosphorus and hidden point-source pollution still needs further improvement. It provides a scientific basis and technical reference for the accurate source apportionment and targeted control of phosphorus pollution in similar lakes.
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