Using Remote Sensing Methods for the Three Lakes' and Evaluating Their  Water Surface and Their Fluctuations

Ardeshir Ziaee; Daria O. Kapralova

doi:10.47540/ijsei.v6i1.1467

Authors

Ardeshir Ziaee Department of Environmental Management, Institute of Ecology, RUDN University, Moscow, Russia
Daria O. Kapralova Department of Environmental Management, Institute of Ecology, RUDN University, Moscow, Russia

DOI:

https://doi.org/10.47540/ijsei.v6i1.1467

Keywords:

Urmia lake, Namak lake, Hamun lake, Remote sensing, Water fluctuations

Abstract

Iran faces numerous environmental issues such as drought, population growth, war, air pollution, climate change, industrial and agricultural output, sanctions, excessive water consumption, and lax enforcement of environmental regulations. Climate change is thought to be one of the crucial factors of impact on water resources in the world. The research is focused on the lakes of Urmia, Namak, and Hamun, using satellite images from Remote sensing to estimate water areas within 10 (2015-2024) years, follow the changes, and analyze the reasons for these changes. Lake Urmia experienced a downward trend in water levels, despite increased precipitation and water rights allocation. Namak Lake showed a greater correlation with temperature fluctuations and precipitation. Hamun Lakes' water volume was more dependent on water rights and temperature fluctuations significantly impacted lake water levels. So all the lakes, located in different areas of the country did not show the same correlation with climate change. As the recovery plan for Lake Urmia seems to include the impact assessment of agricultural water consumption, Hamun Lakes seems to be more dependent on Afghanistan’s dams, only Namak Lake showed a good response to the precipitation values. The results of the work could be used by the authorities for the proper water management assessment.

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References

Abbaszadeh Tehrani, N., Mohd Shafri, H. Z., Salehi, S., Chanussot, J., & Janalipour, M. (2022). Remotely-Sensed Ecosystem Health Assessment (RSEHA) model for assessing the changes of ecosystem health of Lake Urmia Basin. International Journal of Image and Data Fusion, 13(2), 180–205.

Afsharinia, M., Panahi, F., & Maneshi, H. (2023). Monitoring the Earth surface temperature based on MODIS sensor products and remote sensing techniques (Case study: Kashan plain). The Journal of Geographical Research on Desert Areas, 11(1), 161–178.

Akbari, M., Mirchi, A., Roozbahani, A., Gafurov, A., Klöve, B., & Haghighi, A. T. (2021). Desiccation of the Transboundary Hamun Lakes between Iran and Afghanistan in Response to Hyro-climatic Droughts and Anthropogenic Activities.

Akbari. M & Torabi A Haghighi. (2022). Satellite-based agricultural water consumption assessment in the ungauged and transboundary Helmand Basin between Iran and Afghanistan. Remote Sensing Letters, 13, (12) 1236–1248

Aquastat, 2008. Country Fact Sheet: Iran. FAO’s global information system on water and agriculture. (n.d.). Dynamic world. (n.d.).

Bagheri, S. (2024). Investigating Factors Affecting Energy Consumption and Pollution Emission: A Case Study of Iran. Environment and Interdisciplinary Development, 9(83), 31–44.

Bozorg-Haddad, O., Zolghadr-Asli, B., Sarzaeim, P., Aboutalebi, M., Chu, X., & Loáiciga, H. A. (2020). Evaluation of water shortage crisis in the Middle East and possible remedies. Journal of Water Supply: Research and Technology—AQUA, 69(1), 85–98.

Darvishi Boloorani, A., Soleimani, Z., Teymouri, P., Neysani Samany, N., Soleimani, M., & Papi, R. (2023). Microbiology of Sand and Dust Storms and the Effects on Human Health in Iran and Other Persian Gulf Countries. In Dust and Health: Challenges and Solutions (pp. 157–186). Springer.

Ebrahimivand, A., Hooshyaripor, F., Rezaei-Gharehaghaj, S., Razi, S., Salamttalab, M. M., Kolahi, M., & Noori, R. (2023). Satellite-Based Monitoring of Growing Agricultural Water Consumption in Hyper-Arid Regions. Water, 15(22), 3880.

Ehsani, A. H., & Shakeryari, M. (2021). Monitoring of wetland changes affected by drought using four Landsat satellite data and Fuzzy ARTMAP classification method (case study Hamoun wetland, Iran). Arabian Journal of Geosciences, 14(14), 1363.

Emami, H., & Zarei, A. (2021). Modelling lake water’s surface changes using environmental and remote sensing data: A case study of lake Urmia. Remote Sensing Applications: Society and Environment, 23, 100594.

Es’ haghi, S. R., Karimi, H., Rezaei, A., & Ataei, P. (2022). Content analysis of the problems and challenges of agricultural water use: a case study of Lake Urmia Basin at Miandoab, Iran. Sage Open, 12(2), 21582440221091250.

FAO. (2017). AQUASTAT Database. AQUASTAT Website. (n.d.).

Faryadi, M. (2024). Legal Status of the Bed of Lake Urmia after Drying Up. Iran-Water Resources Research, 19(5), 157–170.

Feizizadeh, B., Lakes, T., Omarzadeh, D., Sharifi, A., Blaschke, T., & Karimzadeh, S. (2022). Scenario-based analysis of the impacts of lake drying on food production in the Lake Urmia Basin of Northern Iran. Scientific Reports, 12(1), 6237.

Firoozi, F., Mahmoudi, P., Jahanshahi, S. M. A., Tavousi, T., & Liu, Y. (2020). Evaluating various methods of vegetative cover change trend analysis using satellite remote sensing productions (case study: Sistan Plain in Eastern Iran). Carpathian J Earth Environ Sci, 15(1), 211–222.

Ghasempour, R., Aalami, M. T., Saghebian, S. M., & Kirca, V. S. O. (2024). Analysis of spatiotemporal variations of drought and soil salinity via integrated multiscale and remote sensing-based techniques (Case study: Urmia Lake basin). Ecological Informatics, 81, 102560.

Google Earth Engine. (n.d.).

Hamidifar, H. (2024). Water Crisis in Iran: Causes, Consequences, and Solutions. In Water Crises and Sustainable Management in the Global South (pp. 85–109). Springer.

Harati, H., Kiadaliri, M., Tavana, A., Rahnavard, A., & Amirnezhad, R. (2021). Urmia Lake dust storms occurrences: investigating the relationships with changes in water zone and land cover in the eastern part using remote sensing and GIS. Environmental Monitoring and Assessment, 193, 1–16.

Helali, J., Asaadi, S., Jafarie, T., Habibi, M., Salimi, S., Momenpour, S. E., Shahmoradi, S., Hosseini, S. A., Hessari, B., & Saeidi, V. (2022). Drought monitoring and its effects on vegetation and water extent changes using remote sensing data in Urmia Lake watershed, Iran. Journal of Water and Climate Change, 13(5), 2107–2128.

Karimidastenaei, Z., Haghighi, A. T., Rahmati, O., Rasouli, K., Rozbeh, S., Pirnia, A., Pradhan, B., & Kløve, B. (2020). Fog-water harvesting Capability Index (FCI) mapping for a semi-humid catchment based on socio-environmental variables and using artificial intelligence algorithms. Science of The Total Environment, 708, 135115.

Kharazmi, R., Rahdari, M. R., Rodríguez-Seijo, A., & Elhag, M. (2023). Long-term time series analysis of land cover changes in an arid environment using Landsat data:(a case study of Hamoun Biosphere Reserve, Iran). Desert, 28(1), 123–144.

Merufinia. E Aram. A, &Esmaeili F (2014) Saving the Lake Urmia: from Slogan to Reality (Challenges and Solutions), Bulletin of Environment, Pharmacology and Life Sciences BEPLS 3 Special Issue III 2014 277-288. Online ISSN 2277-1808

Mir, M., Maleki, S., & Rahdari, V. (2022). Ecosystem change detection in arid area in relation to stockholders The case study: Hamoun wetland. Desert Ecosystem Engineering, 11(34), 1–14.

Mirdashtvan, M., Najafinejad, A., Malekian, A., & Sa’doddin, A. (2021). Sustainable water supply and demand management in semi-arid regions: optimizing water resources allocation based on RCPs scenarios. Water Resources Management, 35, 5307–5324.

Moridi, A. (2017). State of water resources in Iran. Int. J. Hydrol, 1, 111–114.

Nasrollahi, H., Shirazizadeh, R., Shirmohammadi, R., Pourali, O., & Amidpour, M. (2021). Unraveling the water-energy-food-environment nexus for climate change adaptation in Iran: Urmia Lake Basin case-study. Water, 13(9), 1282.

Nodefarahani, M., Aradpour, S., Noori, R., Tang, Q., Partani, S., & Klöve, B. (2020). Metal pollution assessment in surface sediments of Namak Lake, Iran. Environmental Science and Pollution Research, 27, 45639–45649.

Pakmehr, S., Yazdanpanah, M., & Baradaran, M. (2020). How collective efficacy makes a difference in responses to water shortage due to climate change in southwest Iran. Land Use Policy, 99, 104798.

Panahi, Y., Mirinezhad, M. S., Aminifard, A., Beiraghdar, F., & Sahab-Negah, S. (2024). An Overview of the Social Health Problems in Iran and Solutions. Journal of Mazandaran University of Medical Sciences, 34(235), 159–180.

Parsinejad, M., Rosenberg, D. E., Ghale, Y. A. G., Khazaei, B., Null, S. E., Raja, O., Safaie, A., Sima, S., Sorooshian, A., & Wurtsbaugh, W. A. (2022). 40-years of Lake Urmia restoration research: Review, synthesis and next steps. Science of The Total Environment, 832, 155055.

Pouladi, P., Badiezadeh, S., Pouladi, M., Yousefi, P., Farahmand, H., Kalantari, Z., David, J. Y., & Sivapalan, M. (2021). Interconnected governance and social barriers impeding the restoration process of Lake Urmia. Journal of Hydrology, 598, 126489.

Rad, A. M., Kreitler, J., Abatzoglou, J. T., Fallon, K., Roche, K. R., & Sadegh, M. (2022a). Anthropogenic stressors compound climate impacts on inland lake dynamics: The case of Hamun Lakes. Science of the Total Environment, 829, 154419.

Rad, A. M., Kreitler, J., Abatzoglou, J. T., Fallon, K., Roche, K. R., & Sadegh, M. (2022b). Anthropogenic stressors compound climate impacts on inland lake dynamics: The case of Hamun Lakes. Science of the Total Environment, 829, 154419.

Rahimabadi, P. D., & Azarnivand, H. (2023). Assessment of the effect of climate fluctuations and human activities on vegetation dynamics and its vulnerability. Theoretical and Applied Climatology, 153(1), 771–786.

Rahimi A. & Breuste J. (2021). Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network Frontiers in Environmental Science, (9), 603916.

Saatsaz, M. (2020). A historical investigation on water resources management in Iran. Environment, Development and Sustainability, 22(3), 1749–1785.

Salimi, J., Maknoon, R., & Meijerink, S. (2019). Designing institutions for watershed management: A case study of the Urmia Lake Restoration National Committee.

Savari, M., Damaneh, H. E., & Damaneh, H. E. (2023). Effective factors to increase rural households’ resilience under drought conditions in Iran. International Journal of Disaster Risk Reduction, 90, 103644.

Schmidt, M., Gonda, R., & Transiskus, S. (2021). Environmental degradation at Lake Urmia (Iran): exploring the causes and their impacts on rural livelihoods. GeoJournal, 86(5), 2149–2163.

Shadkam, S., van Oel, P., Kabat, P., Roozbahani, A., & Ludwig, F. (2020). The water-saving strategies assessment (WSSA) framework: An application for the Urmia Lake restoration program. Water, 12(10), 2789.

Sharifi, A., Mirchi, A., Pirmoradian, R., Mirabbasi, R., Tourian, M. J., Haghighi, A. T., & Madani, K. (2021). Battling water limits to growth: lessons from water trends in the central plateau of Iran. Environmental Management, 68, 53–64.

Sheikh, Z., Nia, A. M., & Ganjali, M. (2024). Climate change and anthropogenic effects on the drying of a saline lake in an arid region (Namak Lake, Iran). Theoretical and Applied Climatology, 155(1), 715–734.

Sheikh, Z., Yazdani, M. R., & Moghaddam Nia, A. (2020). Spatiotemporal changes of 7-day low flow in Iran’s Namak Lake Basin: impacts of climatic and human factors. Theoretical and Applied Climatology, 139(1), 57–73.

Shirazian, S., Karimidouzaji, A., & Anisi, M. S. (2021). Construction and Development of Dams on Transboundary Rivers under Precautionary Principle (A case study of the Kajaki dam). CIFILE Journal of International Law, 2(4), 72–85.

Tahbaz, M. (2016). Environmental challenges in today’s Iran. Iranian Studies, 49(6), 943–961.

Veicy, H. (2024). Evaluation of the Policy of Self-Sufficiency and Its Impact on Territorial Governance and Environmental Sustainability in Iran. Geography and Environmental Sustainability, 14(3), 53–67.

Zolfaghari, F., Azarnivand, H., Khosravi, H., Zehtabian, G., & Sigaroudi, S. K. (2022). Monitoring the severity of degradation and desertification by remote sensing (case study: Hamoun International Wetland). Frontiers in Environmental Science, 10, 902687.