Northeast Institute of Geography and Agroecology, CAS, Changchun, 130102, Jilin, China; Changchun Jingyuetan Remote Sensing Observation Station, Chinese Academy of Sciences, Changchun, 130102, China; University of Chinese Academy of Science, Beijing, 100049, China.
Department of Earth Sciences, Indiana University-Purdue University, Indianapolis, IN, USA.
Environ Res. 2021 Oct;201:111579. doi: 10.1016/j.envres.2021.111579. Epub 2021 Jun 29.
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 (a (675)) and Chlorophyll a (Chla) concentration in different regions (R:0.60-0.82). The non-algal particle (NAP) absorption coefficient (a) 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.
水库是世界上许多大城市的重要饮用水源,但由于内陆水域的复杂性和这些水生生态系统表现出的各种光学条件,开发大规模监测协议以获取有关水质的及时信息的进展一直受到阻碍。在这项研究中,我们系统地研究了中国五个生态区 120 个不同营养状态水库中不同光活性成分(OAC)的吸收系数。在不同地区(R:0.60-0.82),我们发现了浮游植物在 675nm 处的吸收系数(a(675))与叶绿素 a(Chla)浓度之间的关系。非藻类颗粒(NAP)吸收系数(a)随水库营养状态的增加而增加。有色溶解有机物(CDOM)吸收与水质参数之间存在显著相关性(p<0.05)。分析了影响 OAC 吸收相对比例的因素,包括水文因素和水质因素。我们的数据显示了非水吸收预算的变化,突出了需要开发和参数化特定区域的生物光学模型,以进行大规模水库评估。