基于TLI法的鄱阳湖水体营养状态评价与驱动特征分析

吴怡; 王华; 邓燕青; 李晓瑛; 徐浩森

doi:10.13205/j.hjgc.202405002

基于TLI法的鄱阳湖水体营养状态评价与驱动特征分析

doi: 10.13205/j.hjgc.202405002

吴怡^1,2,
王华^1,2, ,,
邓燕青³,
李晓瑛^1,2,
徐浩森^1,2

1. 河海大学环境学院, 南京 210098;
2. 河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098;
3. 江西省水文监测中心, 南昌 330000

基金项目:

国家自然科学基金面上项目(52179064)

江西省水利科技项目(202023ZDKT12)

详细信息

作者简介:
吴怡(2001-),女,硕士研究生,主要研究方向为水环境保护、水环境数值模拟。2091484186@qq.com

通讯作者:
王华(1983-),男,教授,主要研究方向为水污染控制、水环境保护、水环境数值模拟。wanghua543543@163.com

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出版历程
- 收稿日期: 2023-07-19
- 网络出版日期: 2024-07-11

EVALUATION AND DRIVING CHARACTERISTICS OF WATER NUTRIENTS IN POYANG LAKE BASED ON TLI METHOD

WU Yi^1,2,
WANG Hua^{1,2
, ,},
DENG Yanqing³,
LI Xiaoying^1,2,
XU Haosen^1,2

1. College of Environment, Hohai University, Nanjing 210098, China;
2. Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, Hohai University, Nanjing 210098, China;
3. Jiangxi Hydrological Monitoring Center, Nanchang 330000, China

摘要

摘要: 鄱阳湖作为我国第一大淡水湖泊,具有重要的生态功能与社会价值。根据2012—2017年鄱阳湖实际监测数据选择湖区内具有代表性的6个点位,选用综合加权的营养状态指数法(TLI法)对湖泊营养状态进行评价,并采用相关系数法根据生物指标对其准确性进行判断。初步提出了鄱阳湖营养化回归方程,将湖泊水文特征纳入计算,并引入生物指标作为参照。研究发现:1)根据TLI法评价结果,研究时间段内鄱阳湖水体TLI均值在44.00~49.00范围内,多处于“中偏富”营养水平,蚌湖作为碟形湖30.56%的时间均处于富营养状态,其水体营养程度偏高。2)相对于藻细胞密度夏季高、冬季低的季节性变化规律,鄱阳湖内TLI值保持稳定,标准偏差在3.00~5.00内。且TLI值不能匹配湖泊内藻细胞密度存在的显著差异,在藻细胞密度相差300%的情况下TLI值仅变化约2%。其原因为湖泊内单一水体理化指标(TP、TN、SD、COD)并不能很好地反映藻类的增殖状况,而TLI法却高度依赖这些水体理化指标。3)鄱阳湖内的藻类增殖驱动因素具有高度的空间异质性,其中水温均对藻类增殖产生了较高的正面影响,TP在湖口、蚌湖、康山处为藻类增殖的限制因素之一,而流量与水体透明度则由于湖盆形态的空间差异性而对不同点位影响不一。为实现对湖泊水体更有效的管理与保护,需综合考虑其他因素以实现对藻类增殖驱动机制的全面研究,并提出新的综合性湖泊水体营养评价方法。
- 鄱阳湖 /
- TLI法 /
- 富营养化 /
- 生物指标 /
- 水文特征 /
- 回归模型
Abstract: As the largest freshwater lake in China, Poyang Lake has important ecological functions and social values. According to the monitoring data of Poyang Lake from 2012 to 2017, six representative monitoring points in the lake were selected in this study. The trophic status of the lake was evaluated by the Trophic level index method (TLI), and the correlation coefficient method was also used to judge its accuracy based on the bioindicators. The regression equation of Poyang Lake trophic was proposed, and the hydrological characteristics of the lake were included in the calculation, and biological indicators were introduced as reference. The findings were as follows: 1) according to the evaluation result of the TLI method, the average value of TLI in Poyang Lake was within the range of 44.00 to 49.00 during the time period of the study, which means that Poyang Lake was mostly in the medium-rich trophic level. Banghu Lake, shaped like a disc, was in the eutrophic state in 30.56% of the study time, and was at a high trophic level. 2) compared with the seasonal pattern of higher algal cell density in summer and lower algal cell density in winter, the TLI values in Poyang Lake remained stable, with a standard deviation in a range of 3.00 to 5.00. The TLI value could not match the significant difference in algal cell density in the lake, and the TLI value only changed by about 2% in the case of a 300% difference in algal cell density. The reason is that the water physicochemical indicators (TP, TN, SD, COD) in the lake do not well reflect the algal proliferation status, while the TLI method is highly dependent on these indicators. 3) the drivers of algal proliferation in Poyang Lake were highly spatially heterogeneous, among which water temperature had a high positive effect on algal proliferation, and total phosphorus was one of the limiting factors for algal proliferation at monitoring point of Hukou, Banghu, and Kanshan. In contrast, flow volume and water body transparency had different effects at different points due to spatial variability in lake basin morphology. To achieve effective management and protection of lake water, other factors need to be taken into account to achieve a comprehensive master of the mechanisms driving algal proliferation.
- Poyang Lake /
- TLI method /
- eutrophication /
- biological indicators /
- hydrological characteristics /
- regression model

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