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Spatial-temporal variation of water quality and pollutant source analysis in rivers along Liaodong Bay
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Guanghong Wu1, Mengxuan Qiu1, Jianling Li1, Wei Luo2
Haiyang Xuebao | 2023, 45(9) : 177 - 188
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Haiyang Xuebao | 2023, 45(9): 177-188
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Spatial-temporal variation of water quality and pollutant source analysis in rivers along Liaodong Bay
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Guanghong Wu1, Mengxuan Qiu1, Jianling Li1, Wei Luo2
Affiliations
  • 1Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, China
  • 2Laboratory of Solid Waste Treatment and Recycling, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Published: 2023-09-30 doi: 10.12284/hyxb2023110
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Based on the dataset of 120 water quality monitoring sites (including 16 coastal sites) in rivers along Liaodong Bay, the principal component analysis-multiple linear regression (PCA-MLR) model was used to study the pollution characteristics and flux of organic matter, nutrients and heavy metals, and analyze their possible sources. The pollutants exceeding the first grade of Environmental Quality Standards for Surface Water were CODMn, AN concentration. TP concentration and TN concentration, and other water quality parameters met the standard. The TN/TP ratios were high and seriously deviated from the Redfield ratio. The input of high N and low P load from terrestrial sources was the main factor causing the increase of TN/TP in Bohai Sea. DO concentration, EC, AN concentration and TN concentration in non-flood season increased significantly than in flood season, while pH, turbidity, CODMn and TP concentration in non-flood season decreased significantly than in flood season. The concentrations of organic matter and nutrients in estuaries were affected by factors such as the agricultural areas that rivers flowed, while the concentrations of heavy metals were related to the distribution of industrial enterprises in the region. The annual fluxes of TN, TP, COD, AN and petroleum pollutant into Liaodong Bay were 3.63 × 104 t, 1 608.5 t, 14.8 ×104 t, 3 086.6 t and 221.9 t, respectively, and the fluxes of Hg, Cd, Pb, As and Cr6+ were 0.264 t, 0.253 t, 1.978 t, 20.434 t and 31.651 t, respectively. According to their contribution, the main pollution sources were domestic sewage and industrial wastewater, sources caused by hydrological factors (hydrodynamic conditions, etc.), water-gas interface pollutants exchange and secondary sources, non-point sources of farmland runoff and transportation.

water quality  /  sources analysis  /  PCA-MLR model  /  flux  /  Liaodong Bay
Guanghong Wu, Mengxuan Qiu, Jianling Li, Wei Luo. Spatial-temporal variation of water quality and pollutant source analysis in rivers along Liaodong Bay[J]. Haiyang Xuebao, 2023 , 45 (9) : 177 -188 . DOI: 10.12284/hyxb2023110
Year 2023 volume 45 Issue 9
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Article Info
doi: 10.12284/hyxb2023110
  • Receive Date:2023-01-16
  • Online Date:2025-12-28
  • Published:2023-09-30
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  • Received:2023-01-16
  • Revised:2023-04-13
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Affiliations
    1Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin 300387, China
    2Laboratory of Solid Waste Treatment and Recycling, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
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表12种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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