Monitoring of Water Quality Parameters and Their Spatial Distribution Process in the Dam Lake using Sentinel-2 Satellite Images (Case study: Sepidrud Dam)

Document Type : Research Paper

Authors

1 M.Sc, Water Engineering, Hydraulic Structures, University of Guilan, Guilan, Iran

2 M.Sc, Water Engineering, Water resources engineering, University of Guilan, Guilan, Iran

Abstract

Nowadays, increasing population and, consequently, increasing water requirements is a serious threat to water resources. Due to the scarcity of water resources, issues related to the quality of water resources are of great importance. Due to the fact that surface water is more polluted than groundwater, one of the most important issues related to the operation and environment of dam reservoirs, which are considered as artificial lakes, is to check the water quality of dam reservoirs. In this study, using remote sensing techniques and using Sentinel-2 satellite images, the trend of spatial distribution changes of two parameters of turbidity and nitrogen was investigated. The results showed that rainfall (investigated events) caused changes in the amount of turbidity and nitrogen in the water of the Sepidrud Dam reservoir.

Keywords


[1]- 3-US Army, 1987, Reservoir Water Quality Analysis, 2nd ed, USA: Engineering and design: 1110-1201.
[2]- Simeonov, V., Stratis, J. A., Samara, C., Zachariadis, G., Voutsa, D., Anthemidis, A., & Kouimtzis, T., 2003, Assessment of the surface water quality in Northern Greece, Water research, 37, 17, 4119-4124.
[3]. Salehi, M., Khanitemeliyeh, Z., Parchami, N., and Ahmadpour, Z., 2019, Numerical Modeling of Thermal Stratification And Water Quality In Reservoir By CE-QUAL-W2 Model, Journal of Water and Soil Conservation, 26, 4, 53-73. (In Persian)
[4]- Shahedi, and M., Talebi, F., 2017, Introduction to basic concepts in water resources system, Water and Sustainable Development, 3, 2, 117-119. (In Persian)
[5]- Liu, H., Li, Q., Shi, T., Hu, S., Wu, G., & Zhou, Q., 2017, Application of sentinel 2 MSI images to retrieve suspended particulate matter concentrations in Poyang Lake, Remote Sensing, 9, 7, 761.
[6]- Zheng, G., & DiGiacomo, P. M., 2017, Uncertainties and applications of satellite-derived coastal water quality products, Progress in oceanography, 159, 45-72.
[7]- Barrett, D. C., & Frazier, A. E., 2016, Automated method for monitoring water quality using Landsat imagery, Water, 8, 6, 257.
[8]- Toming, K., Kutser, T., Laas, A., Sepp, M., Paavel, B., & Nõges, T., 2016, First experiences in mapping lake water quality parameters with Sentinel-2 MSI imagery, Remote Sensing, 8, 8, 640.
[9]- Kabolizadeh, M., Rangzan, K., & Mohammadi, SH., 2018, Application of fusion in satellite images the Landsat-8 and Sentinel-2 in environmental monitoring, Journal of RS and GIS for Natural Resources; 9, 3, 53-71. (In Persian)
[10]- Bonansea, M., Ledesma, M., Rodriguez, C., & Pinotti, L., 2019, Using new remote sensing satellites for assessing water quality in a reservoir, Hydrological sciences journal, 64, 1, 34-44.
[11]- Liu, W., Wang, S., Yang, R., Ma, Y., Shen, M., You, Y., & Baqa, M. F., 2019, Remote Sensing Retrieval of Turbidity in Alpine Rivers based on high Spatial Resolution Satellites, Remote Sensing, 11, 24, 3010.
[12]- Rangzan, K., Kabolizadeh, M., Rahshidian, M., & Delfan, H., 2020, Modeling and zoning water quality parameters using Sentinel-2 satellite images and computational intelligence (Case study: Karun river), Journal of RS and GIS for Natural Resources, 10, 4, 21-37. (In Persian)
[13]- Fraga De Cal, B., 2019, Reactor analysis of a river system Wastewater treatment plant, International Journal of Latest Engineering Research and Applications, 4, 10, 1-9.
[14]- Khosronejad, A., 2008, Numerical Simulation of Pressure Flushing Process in Sefid-Roud Dam, Journal of Hydraulics, 3, 1, 71-77.  (In Persian)
[15]- Bagherian-Marzouani, M., Akhoundali, A.M., Moazed, H., Jaafarzadeh, N., Ahadian, J., &  Hasoonizadeh, H., 2014, Evaluation of Karun river water quality scenarios using simulation model results, International Journal of Advanced Biological and Biomedical Research, 2, 2, 339-358.
[16]- McFeeters, S. K., 1996, The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, International journal of remote sensing, 17, 7, 1425-1432.
[17]- Gitelson, A. A., & Merzlyak, M. N., 1997, Remote estimation of chlorophyll content in higher plant leaves, International Journal of Remote Sensing, 18, 12, 2691-2697.
[18]- Elhag, M., Gitas, I., Othman, A., Bahrawi, J., & Gikas, P., 2019, Assessment of Water Quality Parameters Using Temporal Remote Sensing Spectral Reflectance in Arid Environments, Saudi Arabia, Water, 11, 3, 556.
[19]- Lacaux, J. P., Tourre, Y. M., Vignolles, C., Ndione, J. A., & Lafaye, M., 2007, Classification of ponds from high-spatial resolution remote sensing: Application to Rift Valley Fever epidemics in Senegal, Remote Sensing of Environment, 106, 1, 66-74.
[20]- Rueda, F., Moreno-Ostos, E., & Armengol, J., 2006, The residence time of river water in reservoirs, Ecological Modelling, 191, 2, 260-274.