the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Analysis of decadal land cover changes and salinization in Urmia Lake Basin using remote sensing techniques
Yusuf Alizade Govarchin Ghale
Metin Baykara
Alper Unal
Abstract. Urmia Lake located in the north-west of Iran, is one of the largest hyper-saline lakes in the world. In recent years, most of the Urmia Lake have been rendered to unusable lands. Drought and rapid increase in agricultural activities are the most important reasons behind the shrinkage of the Lake. This kind of exploitation with the added salinity from irrigation occurring over time has caused increased soil salinity in the basin leading up to desertification. Soil salinity research are crucial to understand underlying causes and consequences of the drying Urmia Lake. In this study, we use remote sensing technology and image processing techniques to detect spatio-temporal variability of salt body, salt affected lands, and development of irrigated lands to estimate the extend of salinization in terms of spectral response of satellite images for the Urmia Lake Basin from 1975 to 2016. The results of this study indicate that salt and salty soil areas has increased dramatically from 1995 to 2014 and more than 5000 km2 of Urmia Lake's water surface area was converted to salt or salty soil bodies during recent years. Salinization and desertification progress are not limited to just dried bottom of the Urmia Lake. Although the area of irrigated lands has increased more than two times during the studied period, soil salinity has increased in regions close to Urmia Lake too. This desertification in the basin have potential to be the source of dust storms, which have adverse effects on people's life and climate as well.
This preprint has been retracted.
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Retraction notice
This preprint has been retracted.
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Preprint
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Yusuf Alizade Govarchin Ghale et al.
Interactive discussion


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RC1: 'Comments on paper', Anonymous Referee #1, 20 Jul 2017
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AC1: 'Revision notes - Reply', Yusuf Alizade Govarchin Ghale, 22 Aug 2017
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AC2: 'Corrected version: Revision notes _ Reply', Yusuf Alizade Govarchin Ghale, 22 Aug 2017
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AC1: 'Revision notes - Reply', Yusuf Alizade Govarchin Ghale, 22 Aug 2017
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RC2: 'There are some major issues which have to be clarified', Anonymous Referee #2, 02 Jan 2018
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AC3: 'The manuscript has been thoroughly and carefully revised', Yusuf Alizade Govarchin Ghale, 07 Feb 2018
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AC3: 'The manuscript has been thoroughly and carefully revised', Yusuf Alizade Govarchin Ghale, 07 Feb 2018
Interactive discussion


-
RC1: 'Comments on paper', Anonymous Referee #1, 20 Jul 2017
-
AC1: 'Revision notes - Reply', Yusuf Alizade Govarchin Ghale, 22 Aug 2017
-
AC2: 'Corrected version: Revision notes _ Reply', Yusuf Alizade Govarchin Ghale, 22 Aug 2017
-
AC1: 'Revision notes - Reply', Yusuf Alizade Govarchin Ghale, 22 Aug 2017
-
RC2: 'There are some major issues which have to be clarified', Anonymous Referee #2, 02 Jan 2018
-
AC3: 'The manuscript has been thoroughly and carefully revised', Yusuf Alizade Govarchin Ghale, 07 Feb 2018
-
AC3: 'The manuscript has been thoroughly and carefully revised', Yusuf Alizade Govarchin Ghale, 07 Feb 2018
Yusuf Alizade Govarchin Ghale et al.
Yusuf Alizade Govarchin Ghale et al.
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Cited
8 citations as recorded by crossref.
- Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network A. Rahimi & J. Breuste 10.3389/fenvs.2021.603916
- Soil Salinity Mapping of Urban Greenery Using Remote Sensing and Proximal Sensing Techniques; The Case of Veale Gardens within the Adelaide Parklands H. Nouri et al. 10.3390/su10082826
- Investigation of aerosols pollution across the eastern basin of Urmia lake using satellite remote sensing data and HYSPLIT model S. Delfi et al. 10.1007/s40201-019-00425-3
- Climate and anthropogenic contributions to the desiccation of the second largest saline lake in the twentieth century S. Chaudhari et al. 10.1016/j.jhydrol.2018.03.034
- Water level instability analysis of Urmia Lake Basin in the northwest of Iran F. Bashirian et al. 10.1007/s12517-020-5207-1
- A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran B. Feizizadeh et al. 10.1016/j.catena.2021.105585
- Spatiotemporal variation of drying and salinity water basin on the quality of coastal aquifers using geographic information system M. Dehghani et al. 10.1007/s12665-019-8462-2
- Investigating relationship between soil moisture, hydro-climatic parameters, vegetation, and climate change impacts in a semi-arid basin in Iran A. Saadatabadi et al. 10.1007/s12517-021-07831-8
Analysis of decadal land cover changes and salinization in Urmia Lake Basin using remote sensing techniquesto be reviewed as a potential publication for Journal of
Natural Hazards and Earth System Sciences. The aim of this research is to use remote sensing technology and image processing techniques to detect spatio-temporal variability of salt body, salt affected lands, and irrigated lands in the basin to understand the extend of salinization.
Analysis of decadal land cover changes and...