Document Type : Research Paper
Authors
1
PhD Condidate of Environemntal Engineering, Department of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
2
Professor Environmental Engineerin, Department of Natural Resources and Environment , Science and Research Branch, Islamic Azad University, Tehran, Iran
3
Professor of Environmental Process Engineering, Department of Petroleum & Chemical Engineering, Sharif University of Technology, Tehran, Iran
4
Department of Water Quality Control, Tehran Water Regional Organization, Tehran, Iran
Abstract
Abstract
Introduction: So as to conserve and manage reservoirs effectively, a comprehensive awareness is necessary for the spatial and temporal pattern of water quality.
Methods: . In this research, a three-dimensional EFDC dynamic environmental model has been utilized, for the assessment and simulation of the thermal-regime and quality parameters of the Mamloo-Dam Reservoir. The information required for the calibration and validation of the model in the 12 months of the year of 2019, has been taken from 6 stations.
Findings: The thermal stratification has prolonged, for several months. Stability in stratification has obstructed the transfer of oxygen to the lower layers and the dissolved oxygen (DO) concentration in the hypolimnion, decreases intensely, in to less than 2 mg/L. In the entire seasons of the year, the highest concentration of Chlorophyll is relative to photic zones (with highest concentration 35.6 µg/L in august). The phosphorous factor restricts the growth of algae in the reservoir; and a high correlation between the modifications in total phosphorous concentration and chlorophyll was observed. The trend of modifications in total nitrogen illustrates its control by external input loads. Furthermore, the results attained in comparing the simulated and real values (R2 and RMSE values), display that the EFDC model has the capacity to simulate the hydrodynamic and qualitative parameters of the Mamloo-Dam Reservoir. Moreover, provided appropriate statistical indicators (RMSE=0.15, R2=0.72) in water level simulation.
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