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沿海水质的地理、轨迹与控制:切萨皮克湾浅水区水质改善更为迅速

Geography, Trajectories, and Controls of Coastal Water Quality: More Rapid Improvement in the Shallow Zone of the Chesapeake Bay.

作者信息

Zhang Qian, Murphy Rebecca R, Tian Richard, Tango Peter J

机构信息

U.S. Environmental Protection Agency Chesapeake Bay Program, University of Maryland Center for Environmental Science, 1750 Forest Drive, Suite 130, Annapolis, Maryland 21401, United States.

U.S. Geological Survey, U.S. Environmental Protection Agency Chesapeake Bay Program, 1750 Forest Drive, Suite 130, Annapolis, Maryland 21401, United States.

出版信息

Environ Sci Technol. 2025 Jan 14;59(1):553-564. doi: 10.1021/acs.est.4c07368. Epub 2024 Dec 26.

Abstract

Many coastal ecosystems have suffered from cultural eutrophication and dead zones. In the Chesapeake Bay, water quality degradation is manifested in low dissolved oxygen, poor water clarity, and decreased submerged aquatic vegetation acreage. This research combines long-term monitoring data, science-based assessment methods, and novel data analysis approaches (i.e., machine learning) toward understanding the geography, trajectories, and controls of water quality in the Chesapeake Bay, which provides an example for the assessment and management of complex coastal ecosystems. Results showed that the attainment of water quality standards has improved in both the deep zone and the shallow zone since 1985, but the shallow zone has improved more rapidly. In addition, the attainment trajectory has been affected by mainly external drivers (i.e., nutrient reductions) and, to a lesser extent, internal drivers (i.e., water temperature and stratification). Reductions in nutrient loads would improve attainment, whereas warming and stratification would decrease attainment. Furthermore, scenario analyses demonstrated the importance of managing both nitrogen and phosphorus loads. Overall, the deep zone and the shallow zone showed different trajectories and controls, emphasizing the importance of geographical targeting with management actions.

摘要

许多沿海生态系统都遭受了富营养化和死区的影响。在切萨皮克湾,水质退化表现为溶解氧含量低、水体透明度差以及水下植被面积减少。本研究结合长期监测数据、基于科学的评估方法和新颖的数据分析方法(即机器学习),以了解切萨皮克湾水质的地理分布、变化轨迹及其控制因素,为复杂沿海生态系统的评估和管理提供了一个范例。结果表明,自1985年以来,深水区和浅水区的水质达标情况均有所改善,但浅水区改善得更快。此外,达标轨迹主要受外部驱动因素(即营养物质减少)的影响,在较小程度上也受内部驱动因素(即水温与分层)的影响。营养物质负荷的减少会提高达标率,而变暖和分层则会降低达标率。此外,情景分析表明了同时管理氮和磷负荷的重要性。总体而言,深水区和浅水区呈现出不同的变化轨迹和控制因素,这凸显了管理行动进行地理定位的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/994f/11740901/98053d20af74/es4c07368_0001.jpg

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