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2018-2022年期间白马湖富营养化水平评价及其影响因素分析

Evaluation of eutrophication leveland analysis of influencing factors in Baima Lake from 2018 to 2022
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摘要 文章利用2018-2022年白马湖湖泊水质监测数据,采用卡尔森营养状态指数法(TSI)分析了近五年白马湖湖泊富营养化的总体状况及其变化趋势,并通过Pearson相关系数法对营养状态指数与白马湖水量进行了相关性分析。结果表明,2018-2022年期间白马湖总体处于中营养状态,但富营养化程度明显升高;其中2019年白马湖富营养化程度最高,相较于2018年富营养化程度同比升高了约42.7%,2020-2022年期间白马湖富营养化程度逐年升高。白马湖的卡尔森营养状态指数与白马湖水量体积的相关性分析,则表明:白马湖营养状态指数与水量呈负相关,本文认为水量多少是影响白马湖富营养化程度的重要因素。 Based on the water quality monitoring data of Baima Lake from 2018 to 2022,this paper analyzed the overall eutrophication status and change trend of Baima Lake in recent five years by using Carlson Nutrient State index(TSI)method,and conducted correlation analysis between nutrient state index and water volume of Baima Lake by using Pearson correlation coefficient method.The results showed that during 2018-2022,Baima Lake was in a medium nutritive state,but the degree of eutrophication increased significantly.Among them,the eutrophication degree of Baima Lake was the highest in 2019,and the eutrophication degree increased by about 42.7%compared with 2018.During 2020-2022,the eutrophication degree of Baima Lake increased year by year.The correlation analysis between the Carlson nutrient status index and the water volume of Baima Lake shows that the nutrient status index of Baima Lake is negatively correlated with the water volume.This paper believes that the amount of water volume is an important factor affecting the degree of eutrophication of Baima Lake.
作者 郭嘉 杭敏荣 Guo jia;Hang minrong(Jiangsu Huaian Environmental Monitoring Center,Jiangsu Huaian 223001)
出处 《污染防治技术》 2024年第2期29-32,共4页 Pollution Control Technology
关键词 白马湖 富营养化 卡尔森营养状态指数法 相关性分析 Baima Lake eutrophication Carlson's Trophic State Index method correlation analysis
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