三峡库区小流域养殖池塘沉积物中磷迁移过程及驱动机制

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-11-11 DOI:10.1016/j.ecolind.2024.112787
Yifan Zhao, Wei Zhang, Weihua Zhang
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摘要

三峡库区小流域内农田池塘的水质健康对维持农业生产力至关重要。水质管理的主要挑战是预测和控制底质中内源污染释放的总磷(TP)。大量研究表明,湖泊等大型水体的内源污染释放受温度和 pH 值等因素的影响。然而,人们对养殖池塘等小型水体的反应机制仍缺乏了解。本研究以可溶性固形物(TP)为研究对象,采用室内模拟试验和正交试验的方法,研究了位于三峡库区中心地带汝溪镇的四个代表性养殖池塘中可溶性固形物的迁移和转化。结果表明,季节变化导致温度变化,从而显著影响 TP 的释放,夏季温度最高时释放率最高。养殖池塘的磷源-汇动态表现出明显的年周期性。此外,pH 值和水深等因素也会影响释放率;酸性条件比碱性条件更有效地促进磷从底质中释放。此外,还观察到较低强度的干扰会抑制 TP 的释放。在这些发现的基础上,本研究进一步探讨了使用多元回归分析和 BP 神经网络模型来模拟磷释放和预测每年 TP 释放量的优势和局限性。最终,该研究提出了减少和控制内源污染的措施,为治理养殖池塘富营养化和保护水生健康奠定了基础。
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Phosphorus transport process and driving mechanism in the sediment of farm ponds in small watersheds of three Gorges Reservoir area
The water quality health of the farm ponds in the small watersheds of the Three Gorges Reservoir Area is critical to maintaining agricultural productivity. The main challenge in managing the water quality is predicting and controlling the release of total phosphorus (TP) from endogenous pollution in the substrate. Numerous studies have shown that endogenous pollution release from large water bodies like lakes is influenced by factors such as temperature and pH. However, knowledge about the response mechanisms in smaller water bodies, such as farm ponds, is still lacking. This study focuses on TP, using indoor simulation tests and orthogonal tests to investigate the transport and transformation of TP in four representative farm ponds located in Ruxi Town, at the heart of the Three Gorges Reservoir Area. Results showed that seasonal variations led to temperature changes thereby significantly affect TP release, with the highest release rates occurring in summer when the temperature was highest. The farm ponds demonstrated a significant annual cycle in phosphorus source-sink dynamics. Furthermore, factors including pH and water depth influenced the release rates; acidic conditions promoted phosphorus release from the substrate more effectively than alkaline conditions. Additionally, disturbances at lower intensities were observed to inhibit TP release. Building on these findings, this study further explored the advantages and limitations of using multiple regression analysis and BP Neural Network models for modeling phosphorus release and predicting annual TP release. Ultimately, the study proposes measures to reduce and control endogenous pollution, laying a foundation for managing eutrophication and protecting aquatic health in farm ponds.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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