Investigating the Chlorophyll Index of Water in the Inlet Rivers of Anzali Wetland Using Sentinel Satellite

Subject Areas : Water resources management

Seyed Saman Mirfallah Nasiri ¹ , Ebrahim Amiri ² , Jalal Behzadi ³

1 - PhD student, Department of Water Science Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
2 - Professor, Department of Water Science Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran.
3 - Assistant Professor, Department of Agriculture, Lahijan Branch, Islamic Azad University, Lahijan, Iran.

Received: 2023-06-16 Accepted : 2023-09-24 Published : 2023-11-22

Keywords: Statistical study, Water quality, spatial variations, chlorophyll index, Anzali Wetland,

Abstract :

Background and aim: pollution of water resources and the increase of pollution in natural water resources such as lakes and wetlands, considering their fragile nature, as one of the crises facing the country, in addition to the inflow factors, depends on the quantitative situation in aquatic ecosystem itself. On the other hand, the important problem of Anzali wetland as the area studied in this research is the increasing pollution of its water in the fragile conditions of climate change. Therefore, considering the main problem raised for Anzali wetland, the aim of the research was to investigate the water quality index in the inlet streams of Anzali wetland. . Research method: in this research, in order to collect the required information in the period of 2019-2019 in the study area of Anzali wetland, the monthly rainfall statistics of different meteorological stations from the General Directorate of Meteorology and Statistics and geological maps and the characteristics and values of the hydraulic coefficients, wetland extension limits, possible observation station data, seasonal and permanent rivers' measured rivers’ flow data, tolls and rivers' location limits were obtained from the regional water joint stock company. In this study, using the water quality analysis code (UWQV), the amount of water quality changes in the seasonal periods of Anzali lagoon was analyzed in Sentinel-2 and Sentinel-3 images. Findings: The average spatial distribution of the green spectrum (chlorophyll index) in different seasons showed that its numbers indicate the status of the quality index and chlorophyll, so that it is equal to 0.15 in autumn, 0.13 in winter, 0.06 in spring, and the summer season was equal to 0.13. The statistical results of the discharge of the rivers leading to the Anzali wetland, in all the coordinates of the lagoon lake, a similar seasonal trend was observed between the discharges due to the similarity of the feeding catchment basin, and this is while each of the average figures is 27 respectively. 0.0, 0.23, 0.08, 0.08 and 0.23 have shown the standard deviation of coordinate distribution. Conclusion: Analyzing the water quality of Anzali wetland based on the changes in the chlorophyll index, and the changes in the amount of chlorophyll from one season to another showed a strong fluctuation, which confirmed the results of this research compared to other researchers. Also, the state of water health sediments shows a strong fluctuation in autumn, winter, summer, and spring seasons to a large extent.

References:

Alizadeh, A. (1998). Principles of applied hydrology, Astan Quds Razavi. Emam Reza University, Mashad, 662. [in Persian]

Aminisarteshnizi, M. (2022). Assessment of Water Quality Index in Anzali Lagoon using Multivariate Analysis. Pakistan Journal of Biological Sciences: PJBS, 25(8), 776-780.

Asadi, H., Ebrahimi, A., Tajrishi, M., Farhangi, M., & Tajdari, Kh. (2019). Determination of cholorid and total dissolved solids in inlet rivers the Anzali lagoon. The 16th Iranian Soil Science Congress, Zanjan University, Zanjan, Iran. [in Persian]

Asadi, H., & Ebrahimi, A. (2017). Seasonal assessment of phosphorus pollution in some areas of Guilan province. The 15th Iranian Soil Science Congress, Isfahan University of Technology, Isfahan, Iran. [in Persian].

Dogani, A., Dourandish, A., Ghorbani, M., & Shahbazbegian, M. R. (2020). A hybrid meta-heuristic for a bi-objective stochastic optimization of urban water supply system. IEEE Access, 8, 135829-135843.

Gili, M., Motakan, A., Kazemi, A. (2014). Estimating Chlorophyll a and Total Phosphorous in Anzali Wetland Using Three Band Model. Iranian Journal of Remote Sensing & GIS.6(1),35-48

Khalilivavdareh, S., Shahnazari, A., & Sarraf, A. (2022). Spatio-temporal variations of discharge and sediment in rivers flowing into the anzali lagoon. Sustainability, 14(1), 507.

Khosheghbal, M. Z., Charkhabi, A. H., Sharifi, F., & Ghazban, F. (2013). An Investigation of Sediment Pollution in the Anzali Wetland. Polish Journal of Environmental Studies, 22(1), 283-288

Mahzabiyeh, S.,Golkar, A. & Ahmadi, M. M. (2015). Application of smart methods of optimization and forecasting in water quality issues. The 13th National Seminar on Irrigation and Evapotranspiration. Kerman. [in Persian]

Marzvan, S., Moravej, K., Felegari, S., Sharifi, A., & Askari, M. S. (2021). Risk Assessment of Alien Azolla filiculoides Lam in Anzali Lagoon Using Remote Sensing Imagery. Journal of the Indian Society of Remote Sensing, 49 (7), 1801-1809.

McArthur, J. M., Sikdar, P. K., Leng, M. J., Ghosal, U., & Sen, I. (2018). Groundwater quality beneath an Asian megacity on a delta: Kolkata’s (Calcutta’s) disappearing arsenic and present manganese. Environmental science & technology, 52(9), 5161-5172.

Ministry of Power. (2015). Studies on updating the balance of water resources of Talash watershed and Anzali lagoon. [in Persian]

Nechad, B., Ruddick, K. G., & Park, Y. (2010). Calibration and validation of a generic multisensor algorithm for mapping of total suspended matter in turbid waters. Remote Sensing of Environment, 114(4), 854-866.

Rasouli, A. A., Ghermezcheshmeh, b., Nassaji Zavareh, M. & Kheirkhah, M. M. 2011. Spatial analysis of annual precipitation trends using the Mann-Kendall method in the northwest of the country. The first national conference on drought and climate change. Karaj. [in Persian]

Rezaei, A., Shahinjad, b. & Yonesi, H. (2018). Evaluation of intelligent models in estimating the amount of dissolved solids in Kashkan river water, Lorestan province. Watershed Engineering and Management Journal. 11(1), 147-165. [in Persian]

Rokhshad, A., & Shahidi, A. (2021). Performance Six Intelligent Combined Methods in Groundwater quality modeling, Case study: Bafgh Plain, Hydrogeology, 6(1), 126-139. [in Persian]

Shi, B., Wang, P., Jiang, J., & Liu, R. (2018). Applying high-frequency surrogate measurements and a wavelet-ANN model to provide early warnings of rapid surface water quality anomalies. Science of the Total Environment, 610, 1390-1399.

Wang, R. J., Powell, J. T., & Hunt, W. F. (2018). Retrofitting a grass swale with rock check dams: Hydrologic impacts. Urban Water Journal, 15(2).

Zlinszky, A., Supan, P., & Koma, Z. (2017, April). Near real-time qualitative monitoring of lake water chlorophyll globally using GoogleEarth Engine. In EGU General Assembly Conference Abstracts (p. 18950).