International Journal of Environmental Research ( IF 2.6 ) Pub Date : 2022-08-16 , DOI: 10.1007/s41742-022-00447-0 Zahra Aghashariatmadari 1 , Hadis Golmohammadian 1 , Zeinab Shariatmadari 2 , Fereidun Mohebbi 3 , Javad Bazrafshan 1
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Aras Dam Lake is a strategic aquatic ecosystem in Iran and there are reports of toxic phytoplankton blooms in this reservoir. This study was performed to determine the effect of meteorological variables on the formation and expansion of toxic phytoplankton communities in Aras dam reservoir. The data of this project have been obtained using field studies and satellite data (MODIS and Sentinel-2). Sampling to determine the composition of phytoplankton communities in the area was carried out seasonally in two time periods from 2003 to 2014, and environmental assessments were also performed based on meteorological and satellite data over an 18-year period (2003–2020). The Chlorophyll-a content was obtained from MODIS and correlated with meteorological data. The statistical analysis showed that the highest coefficient of determination is related to the correlation of chlorophyll-a and Evaporation (R2 = 0.86). Also, the relative root mean square error is equal to 18%, 18.1% and 21.2% for the chlorophyll-a -SST, chlorophyll-a -wind and chlorophyll-a -Evaporation relations, respectively. Moreover, in a supplementary study, correlation between the chlorophyll-a content with selected meteorological variables including evaporation, wind speed and water surface temperature were investigated seasonally. The results showed that the trend of changes in chlorophyll-a content with three considered variables are parabolic functions and chlorophyll-a -Evp (R2 = 0.86, MAPE = 15.2%) model indicates better performance. The results also showed that the eutrophication rate of the reservoir during lockdown period increased in comparison with the same time at pre-pandemic period, which can be related to increase of incoming waste loads in this reservoir.
Graphical Abstract
中文翻译：
阿拉斯水库藻类群落的卫星监测：气象依赖性分析和 COVID-19 大流行封锁对富营养化状态的影响
阿拉斯大坝湖是伊朗的一个战略性水生生态系统，有报道称该水库中有毒浮游植物大量繁殖。本研究旨在确定气象变量对阿拉斯大坝水库有毒浮游植物群落形成和扩张的影响。该项目的数据是使用实地研究和卫星数据（MODIS 和 Sentinel-2）获得的。在 2003 年至 2014 年的两个时间段内进行了季节性抽样以确定该地区浮游植物群落的组成，并根据 18 年期间（2003 年至 2020 年）的气象和卫星数据进行了环境评估。叶绿素a含量从MODIS获得并与气象数据相关。R 2 = 0.86)。此外，叶绿素-a-SST、叶绿素-a-风和叶绿素-a-蒸发关系的相对均方根误差分别等于18%、18.1%和21.2%。此外，在一项补充研究中，对叶绿素-a 含量与选定的气象变量（包括蒸发量、风速和水面温度）之间的相关性进行了季节性调查。结果表明，考虑三个变量的叶绿素a含量变化趋势为抛物线函数和叶绿素a-Evp ( R 2 = 0.86, MAPE = 15.2%) 模型表明性能更好。结果还表明，与大流行前同期相比，封锁期间水库的富营养化率有所增加，这可能与该水库进入的废物量增加有关。
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