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Evaluating the impact of dam construction on extreme shrinkage of Urmia Lake using spatial data

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Abstract

In this study, the extreme shrinkage of Urmia Lake is investigated, aiming to assess the impact of anthropogenic factors, particularly the over-construction of dams and natural anomalies associated with climate change. Historically available multispectral spatial data obtained from Landsat missions 4-5 TM and Landsat 8 OLI were utilized which totally covers a period of 36 years (1967–2020). Additionally, this data was employed to identify the locations of constructed water reservoirs and determine their construction timelines by analyzing the normalized difference vegetation index (NDVI). To examine the temporal patterns of annual precipitation in the lake basin, we obtained time series data from historical precipitation records, which were then converted into rasterized format. Our findings indicate that approximately 22% of the lake basin has been designated for feeding dam reservoirs. The impact of precipitation anomalies on the lake’s water level was found to be relatively less significant when compared to the increased storage capacity of the dams. Furthermore, the construction of dams prior to 2000 contributed to enhancing the lake’s stability during periods of drought. However, the substantial increase in the total storage capacity of dams after 2000 has significantly accelerated the shrinkage process. As a result, it was concluded that any effective rescue plan should prioritize ignoring a considerable portion of the reservoirs’ storage capacity by releasing stored water, thereby allowing the lake to attain a stable condition.

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Acknowledgements

The spatial data was provided by courtesy of US Geological Survey (USGS).

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Mesut Barış, the author, performed conceptualization, investigation, data curation, and writing — review and editing.

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Correspondence to Mesut Barış.

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Barış, M. Evaluating the impact of dam construction on extreme shrinkage of Urmia Lake using spatial data. Environ Monit Assess 195, 1323 (2023). https://doi.org/10.1007/s10661-023-11941-z

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