Remote Sensing of Phytoplankton Blooms in the Miankaleh Wetland

The increasing availability of satellit e ocean color data presents an opportunity to investigate climate change, ocean primary productivity and pollution of the environment. Studies about the mechanisms that monitor the dynami cs of phytoplankton population in the Miankaleh wetland (southeast of the Caspian Sea) were p erformed using remote sensing information. The satellite imagery obtained from worldview tool (https://worldview.earthdata.nasa.gov) captured with MODIS sensor on the Terra and Aqua satellites between 2010 and 2018 in the summer. Beside the biorefinery potential of the dominant strains were also investigated. The spatiotemporal variability of phy toplankton biomass in the studied area characte rized by satellite-derived chlorophyll a (Chl a-sat) data showed the observed variability c ould be explained by factors influencing the growth of phytoplankton namely the emission of th e gas and nutrients contamination into the eco system. The Neka power plant provide 6% of the total electricity generation in Iran. Howev er, due to the use of mazut , this fossil fuel po wer plant release a lot of environmental pollution in the Miankaleh wetland. The results of t his study showed that Chla-sat concentrations h as increased from 12 to 17 mg/m2 during the 2016 to 2018; Since the elevated CO2 dissolution in seawater could increase carbon biofixation, result in enhanced growth of algal population. The evidences support the hypothesis that the high concentration of algal pigment in the wetland is correlated by the ability of the studied strains in bioremediation of environmental p ollutants. The results obtained provide an overview of the satellite evolution of the temporal vari ability of chl-a and the ability of the algal strain in biosorption of the pollutants. Moreover, Chla-sat cycles over the years could be used as an i ndicator to determine the algal biomass and the resultant capacity of CO2 sequestration.

The increasing availability of satellit e ocean color data presents an opportunity to investigate climate change, ocean primary productivity and pollution of the environment. Studies about the mechanisms that monitor the dynami cs of phytoplankton population in the Miankaleh wetland (southeast of the Caspian Sea) were p erformed using remote sensing information. The satellite imagery obtained from worldview tool (https://worldview.earthdata.nasa.gov) captured with MODIS sensor on the Terra and Aqua satellites between 2010 and 2018 in the summer. Beside the biorefinery potential of the dominant strains were also investigated. The spatiotemporal variability of phy toplankton biomass in the studied area characte rized by satellite-derived chlorophyll a (Chl a-sat) data showed the observed variability c ould be explained by factors influencing the growth of phytoplankton namely the emission of th e gas and nutrients contamination into the eco system. The Neka power plant provide 6% of the total electricity generation in Iran. Howev er, due to the use of mazut , this fossil fuel po wer plant release a lot of environmental pollution in the Miankaleh wetland. The results of t his study showed that Chla-sat concentrations h as increased from 12 to 17 mg/m2 during the 2016 to 2018; Since the elevated CO2 dissolution in seawater could increase carbon biofixation, result in enhanced growth of algal population. The evidences support the hypothesis that the high concentration of algal pigment in the wetland is correlated by the ability of the studied strains in bioremediation of environmental p ollutants. The results obtained provide an overview of the satellite evolution of the temporal vari ability of chl-a and the ability of the algal strain in biosorption of the pollutants. Moreover, Chla-sat cycles over the years could be used as an i ndicator to determine the algal biomass and the resultant capacity of CO2 sequestration.