Variations in the light absorption coefficients of phytoplankton, non-algal particles and dissolved organic matter in reservoirs across China

Variations in the light absorption coefficients of phytoplankton, non-algal particles and dissolved organic matter in reservoirs across China
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全国水库浮游植物、非藻颗粒及溶解有机物光吸收系数变化

DOI:
10.1016/j.envres.2021.111579
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发表时间:
2021
影响因子:
8.3
通讯作者:
Kaishan Song
Kaishan Song
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Yingxin Shang;Pierre-Andre Jacinthe;Lin Li;Zhidan Wen;Ge Liu;Lili Lyu;Chong Fang;Bai Zhang;Junbin Hou;Kaishan Song

文献摘要

相似文献

水库是世界各地许多大城市的重要饮用水来源,但内陆沃茨的复杂性质和这些水生生态系统呈现的各种光学条件阻碍了制定大规模监测协议以及时获取水质信息的进展。本文系统研究了我国5个生态区120个不同营养状态水库水体中不同光学活性物质的吸收系数。不同海区浮游植物在675 nm处的吸收系数(aph(675))与叶绿素a(Chla)浓度之间存在一定的相关性(R2:0.60-0.82)。非藻类颗粒物(NAP)吸收系数(aNAP)随富营养化程度的增加而增加。有色溶解性有机物(CDOM)吸收量与水化学参数呈显著正相关(p < 0.05)。分析了影响有机碳吸附相对比例的水文因子和水质因子。从我们的数据的非水吸收预算显示的主要吸收类型的变化,强调需要开发和参数化区域特定的生物光学模型,在水库的大规模评估。
Reservoirs were critical sources of drinking water for many large cities around the world, but progress in the development of large-scale monitoring protocols to obtain timely information about water quality had been hampered by the complex nature of inland waters and the various optical conditions exhibited by these aquatic ecosystems. In this study, we systematically investigated the absorption coefficient of different optically-active constituents (OACs) in 120 reservoirs of different trophic states across five eco-regions in China. The relationships were found between phytoplankton absorption coefficient at 675 nm (aph(675)) and Chlorophylla(Chla) concentration in different regions (R2:0.60–0.82). The non-algal particle (NAP) absorption coefficient (aNAP) showed an increasing trend for reservoirs with trophic states. Significant correlation (p < 0.05) was observed between chromophoric dissolved organic matter (CDOM) absorption and water chemical parameters. The influencing factors for contributing the relative proportion of OACs absorption including the hydrological factors and water quality factors were analyzed. The non-water absorption budget from our data showed the variations of the dominant absorption types which underscored the need to develop and parameterize region-specific bio-optical models for large-scale assessment in water reservoirs.