Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network

Lake Urmia (LU) is considered as the largest salt water lake in Iran and has severe restrictions on water resources and becoming a salt lake increasingly. The LU drought will Couse ecological, health, social and economic problems. Land-use change and the increasing of salt areas evaluated in this wo...

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Main Authors: Akbar Rahimi, Jürgen Breuste
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-08-01
Series:Frontiers in Environmental Science
Subjects:
GIS
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2021.603916/full
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spelling doaj-6ca17ae19f2644e88c3a630ae07429bf2021-09-03T22:25:23ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2021-08-01910.3389/fenvs.2021.603916603916Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural NetworkAkbar Rahimi0Jürgen Breuste1Department of Landscape Engineering, University of Tabriz, Tabriz, IranResearch Group for Urban and Landscape Ecology, Department of Geography and Geology, University of Salzburg, Salzburg, AustriaLake Urmia (LU) is considered as the largest salt water lake in Iran and has severe restrictions on water resources and becoming a salt lake increasingly. The LU drought will Couse ecological, health, social and economic problems. Land-use change and the increasing of salt areas evaluated in this work using satellite imagery. We evaluated the present situation and changes of the lake area in the past and further changes until 2025. The results indicated that from 1987 to 2000, the process of change has slowed down and less than 2% of the lake’s water area was reduced, and from 2000 to 2010, these shrinking processes were faster and more than 28% of the lake water area disappeared. The intensity of the shrinking from 2010 to 2014 is very severe. Using the Land Transformation Model, the continuation of the changes was modeled until 2025. The results of the modeling indicate the conversion of the water lake to salt lake in this period, and in the north part, the shallow waters occupy 0.7% of the total lake area. The result shows that climate change was not the significant factors for drying up of the lake but human factors such as building dams to store water for irrigation, increasing groundwater use by established deeper wells for agricultural irrigation were the important factors for drying. With changing of management of the waters leading to the lake and the transfer of new water resources to the lake between 2014 and 2016, the area of the lake increased to a double. It was evident that by proper planning and managing of water resources, the lake’s restoration can be achieved.https://www.frontiersin.org/articles/10.3389/fenvs.2021.603916/fullUrmia lakeland-use change modelingremote sensingGISartificial neural network
collection DOAJ
language English
format Article
sources DOAJ
author Akbar Rahimi
Jürgen Breuste
spellingShingle Akbar Rahimi
Jürgen Breuste
Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network
Frontiers in Environmental Science
Urmia lake
land-use change modeling
remote sensing
GIS
artificial neural network
author_facet Akbar Rahimi
Jürgen Breuste
author_sort Akbar Rahimi
title Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network
title_short Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network
title_full Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network
title_fullStr Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network
title_full_unstemmed Why is Lake Urmia Drying up? Prognostic Modeling With Land-Use Data and Artificial Neural Network
title_sort why is lake urmia drying up? prognostic modeling with land-use data and artificial neural network
publisher Frontiers Media S.A.
series Frontiers in Environmental Science
issn 2296-665X
publishDate 2021-08-01
description Lake Urmia (LU) is considered as the largest salt water lake in Iran and has severe restrictions on water resources and becoming a salt lake increasingly. The LU drought will Couse ecological, health, social and economic problems. Land-use change and the increasing of salt areas evaluated in this work using satellite imagery. We evaluated the present situation and changes of the lake area in the past and further changes until 2025. The results indicated that from 1987 to 2000, the process of change has slowed down and less than 2% of the lake’s water area was reduced, and from 2000 to 2010, these shrinking processes were faster and more than 28% of the lake water area disappeared. The intensity of the shrinking from 2010 to 2014 is very severe. Using the Land Transformation Model, the continuation of the changes was modeled until 2025. The results of the modeling indicate the conversion of the water lake to salt lake in this period, and in the north part, the shallow waters occupy 0.7% of the total lake area. The result shows that climate change was not the significant factors for drying up of the lake but human factors such as building dams to store water for irrigation, increasing groundwater use by established deeper wells for agricultural irrigation were the important factors for drying. With changing of management of the waters leading to the lake and the transfer of new water resources to the lake between 2014 and 2016, the area of the lake increased to a double. It was evident that by proper planning and managing of water resources, the lake’s restoration can be achieved.
topic Urmia lake
land-use change modeling
remote sensing
GIS
artificial neural network
url https://www.frontiersin.org/articles/10.3389/fenvs.2021.603916/full
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AT jurgenbreuste whyislakeurmiadryingupprognosticmodelingwithlandusedataandartificialneuralnetwork
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