赣抚平原灌渠水体氮磷污染来源识别与贡献评估

Identification and Contribution Assessment of Nitrogen and Phosphorus Pollution Sources in the Ganfu Plain Irrigation District

  • 摘要: 灌渠水质对农业种植、工业生产与居民生活至关重要。本研究于赣抚平原西总干渠下游开展为期5 a的水质监测, 查明水质参数变化规律, 采用主成分分析(PCA)和主成分得分-多元线性回归受体模型(APCS-MLR), 识别和量化主要污染来源。结果显示: 2017-2021年, 灌渠水体总磷浓度为0~2.12 mg·L-1, 多数不满足GB 3838-2002《地表水环境质量标准》中Ⅴ类标准; 总氮浓度主要为1.0~2.0 mg·L-1, 部分超过2.0 mg·L-1, 不满足GB 3838-2002中Ⅴ类标准; 铵态氮浓度多数为0.01~0.1 mg·L-1; 硝态氮浓度集中在0.4~1.5 mg·L-1之间。主成分分析表明, 灌渠水质丰水期主要受气象因素、农业活动和水沙作用的影响, 而枯水期与工业废水、生活污水和畜禽养殖等因素相关。APCS-MLR模型进一步量化了污染源贡献: 丰水期, 农业种植和畜禽养殖对总磷的贡献率分别为45.3%和32.7%;气象因素和未知源对总氮和硝态氮的贡献率分别为38.5%和28.9%;生活污水、地表径流和未知源对铵态氮的贡献率分别为41.2%、25.6%和33.2%。枯水期, 畜禽养殖对总磷、总氮和硝态氮的贡献率分别为56.8%、48.3%和52.4%;生活污水和畜禽养殖对铵态氮的贡献率分别为62.1%和37.9%。研究成果有助于理解灌渠水体氮磷污染物循环理论, 也为灌渠水质管理与保护提供科学依据。

     

    Abstract: The water quality of irrigation canal is crucial for agricultural cultivation, industrial production, and resident livings. In this study, a five-year water quality monitoring program was conducted in the lower Western Main Canal of the Ganfu Plain. The aims were to investigate the variations of water quality parameters, to identify and quantify the major pollution sources using principal component analysis (PCA) and the absolute principal component score-multiple linear regression (APCS-MLR) receptor model. The results show that the total phosphorus (TP) concentration ranged from 0 to 2.12 mg·L-1 in the canal water from 2017 to 2021, with most values exceeding the Class Ⅴ standard limit of the Surface Water Environmental Quality Standards (GB 3838-2002). The total nitrogen concentration primarily ranged between 1.0 and 2.0 mg·L-1, with some values exceeding 2.0 mg·L-1, surpassing the Class Ⅴ standard limit. The ammonium nitrogen (NH4+-N) concentration mostly ranged between 0.01 and 0.1 mg·L-1, whereas the nitrate nitrogen (NO3--N) concentration changed between 0.4 and 1.5 mg·L-1. PCA analysis revealed that canal water quality was mainly affected by meteorological factors, agricultural activities, and water-sediment interactions in the wet season, while it was associated with industrial wastewater, domestic sewage, and livestock farming in the dry season. The APCS-MLR model further quantified the pollution source contributions: agricultural cultivation and livestock farming contributed 45.3% and 32.7% to TP, respectively, meteorological factors and unknown sources accounted for 38.5% and 28.9% of TN and NO3--N, respectively, and domestic sewage, surface runoff, and unknown sources contributed 41.2%, 25.6%, and 33.2% to NH4+-N; livestock farming contributed 56.8%, 48.3%, and 52.4% to TP, TN, and NO3--N, respectively, while domestic sewage and livestock farming accounted for 62.1% and 37.9% of NH4+-N, respectively. The findings enhance the understanding of nitrogen and phosphorus pollutant cycling in irrigation canals and provide a scientific basis for water quality management and protection.

     

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