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长期以来,淡水湖泊内部环境动态对外部营养输入变化的响应:一种模型模拟方法。

Long-term responses of internal environment dynamics in a freshwater lake to variations in external nutrient inputs: A model simulation approach.

机构信息

Aquatic Ecology and Water Quality Management Group, Department of Environmental Sciences, Wageningen University & Research, PO Box 47, 6700AA Wageningen, the Netherlands; Key Laboratory of Non-point Source Pollution Control, Ministry of Agriculture and Rural Affairs, Changping Soil Quality National Observation and Research Station, State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Earth Systems and Global Change Group, Department of Environmental Sciences, Wageningen University & Research, PO Box 47, 6700AA Wageningen, the Netherlands.

Southwest Forestry University, College of Soil and Water Conservation, Kunming 519125, China.

出版信息

Sci Total Environ. 2024 Nov 15;951:175514. doi: 10.1016/j.scitotenv.2024.175514. Epub 2024 Aug 13.

Abstract

Lake restoration usually focuses on reducing external nutrient sources. However, when sediments contain nutrients accumulated over multiple years, internal nutrient release can delay restoration progress. In lake restoration and management, it is important to understand the dynamic relationship between nutrient concentrations in a lake and internal and external nutrient sources. In this study, we quantified external nutrient inputs through measurements and compared them with internal sediment release from simulation using the PCLake+ model. Additionally, we evaluated alterations in the internal nutrient release, lake nutrient concentrations, and algae biomass (chlorophyll-a) within the lake following varying degrees of reduction in external nutrient loads. The results demonstrate that the PCLake+ effectively simulated the lake's nutrient concentration and algae biomass. Based on the PCLake+ estimates, internal nutrient loads accounted for 51 % of the total nitrogen (N) and 80 % of the total phosphorus (P) loadings in Lake Erhai in 2019. In 2020, the total contributions were 43 % for TN and 72 % for TP. We simulated four scenarios where external nutrient inputs were reduced to 25 %, 50 %, 75 %, and 99.99 % of their original levels. The 40-year simulation showed that the lake's ecological system initially exhibited a fast internal response but reached equilibrium after eight years. P concentrations took longer to reach equilibrium compared to N concentrations, probably due to the stronger binding characteristics of P. To meet the water quality target in the future, it is necessary to reduce external N and P inputs into Lake Erhai by at least 23 % and 15 %, respectively, under current conditions. Although reducing external nutrient loads can indirectly lower internal nutrient loads, water management should address both external and internal loads simultaneously, as internal release cannot be effectively reduced by external reductions alone. Additionally, the lake's internal release may continue for several years, even with reductions in external inputs.

摘要

湖泊修复通常侧重于减少外部营养源。然而,当沉积物中含有多年积累的营养物质时,内部营养释放可能会延迟修复进程。在湖泊修复和管理中,了解湖泊中营养浓度与内外源营养之间的动态关系非常重要。在本研究中,我们通过测量量化了外部营养输入,并通过使用 PCLake+模型进行模拟来比较内部沉积物的释放。此外,我们评估了在外部营养负荷减少的不同程度下,湖泊内部营养释放、湖泊营养浓度和藻类生物量(叶绿素-a)的变化。结果表明,PCLake+ 有效地模拟了湖泊的营养浓度和藻类生物量。根据 PCLake+的估计,2019 年洱海的内部营养负荷占总氮(N)的 51%和总磷(P)的 80%。2020 年,TN 的总贡献为 43%,TP 的总贡献为 72%。我们模拟了四个场景,其中外部营养输入分别减少到原始水平的 25%、50%、75%和 99.99%。40 年的模拟表明,湖泊生态系统最初表现出快速的内部响应,但在八年后达到平衡。与 N 浓度相比,P 浓度需要更长时间才能达到平衡,这可能是由于 P 的结合特性更强。为了在未来达到水质目标,在当前条件下,需要将洱海的外部 N 和 P 输入分别减少至少 23%和 15%。尽管减少外部营养负荷可以间接降低内部营养负荷,但水管理应同时考虑内外源负荷,因为仅通过外部减少无法有效减少内部释放。此外,即使减少了外部输入,湖泊的内部释放也可能会持续数年。

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