Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River
Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River
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人类活动决定长江沿岸湖泊溶解有机物的数量和组成
DOI：
10.1016/j.watres.2019.115132
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发表时间：
2020-01-01
期刊：
影响因子：
12.8
通讯作者：
Duan, Hongtao
中科院分区：
文献类型：
--
作者：
Liu, Dong;Du, Yingxun;Duan, Hongtao
溶解有机物（DOM）在水生生物地球化学循环和全球碳循环中发挥着重要作用。然而，由于来自流域（异地）和系统内部（本土）的复杂来源，它在空间和时间上变化很大。卫星遥感提供了监测 DOM 并识别全球或区域范围内湖泊时空变化的能力。本研究于2012年8月对长江中下游地区的55个湖泊进行了实地调查，由于人类活动的强烈影响，大部分湖泊都出现了富营养化的特征。结果表明，有色 DOM (CDOM) 和总 DOM 与人类引起的营养状态指数 (TSI) 存在显着差异，且与人类引起的营养状态指数 (TSI) 呈线性相关，R-2 分别 = 0.41 和 0.61。浮游植物的本地物质占 CDOM 的 38.5% 和 DOM 的 35.2%，而以土地覆盖变化和水产养殖为指标的异地陆地物质则占近一半，分别占 CDOM 的 49.7% 和 DOM 的 49.8%。总的来说，人类活动分别解释了 CDOM 和 DOM 变异的 81.7% 和 87.5%。最后，提出了一种根据卫星衍生的 TSI 估算 DOM 的流程图。该研究对于全球区域富营养化湖泊水环境质量同步监测和管理具有重要意义。 (C) 2019 Elsevier Ltd. 保留所有权利。
Dissolved organic matter (DOM) plays important roles in the aquatic biogeochemical cycle and the global carbon cycle. However, it is highly spatially and temporally varied due to complex sources from the catchment (allochthonous) and from within the system (autochthonous). Satellite remote sensing provides the ability to monitor DOM and identify the spatio-temporal variations in lakes on a global or regional scale. In this study, field work was conducted in 55 lakes in August 2012 along the middle and lower reaches of the Yangtze River (MLR-YR), where most lakes were characterized by eutrophication due to intense human activities. The results showed that both colored DOM (CDOM) and total DOM differed significantly by and were linearly related to the human-induced trophic state index (TSI), with R-2 = 0.41 and 0.61, respectively. Autochthonous substances by phytoplankton contributed to 38.5% of CDOM and 35.2% of DOM, and allochthonous terrestrial substance indexed by land cover change and aquaculture contributed to almost half, with 49.7% of CDOM and 49.8% of DOM. In total, human activities explained as much as 81.7% and 87.5% of the variations in CDOM and DOM, respectively. Finally, a flowchart for estimating DOM from satellite-derived TSI was proposed. This study has great significance for synchronously monitoring and managing aquatic environment quality in regional eutrophic lakes around the world. (C) 2019 Elsevier Ltd. All rights reserved.