scholarly journals Amount and location of tectonic uplift in the Urmia region of northwest Iran from the Permian to the Neogene

2021 ◽  
Vol 3 (3) ◽  
Author(s):  
Akram Alizadeh
Keyword(s):  
Hypersaline Lake ◽  
Time Interval ◽  
Lake Basin ◽  
Lake Urmia ◽  
Qom Formation ◽  
Northwest Of Iran ◽  
The Subject ◽  
Orogenic Uplift ◽  
East Azerbaijan ◽  
Urmia Lake Basin

AbstractThe Urmia Lake Basin is located between the West and East Azerbaijan provinces in the northwest of Iran. Lake Urmia is the twentieth largest lake and second largest hypersaline lake in the world. Stratigraphic columns have been constructed, using published information, to compare the sedimentary units deposited from the Permian to the Neogene on the east and west sides of the lake, and to use these to quantity subsidence and uplift. East of the lake, the sedimentary section is more complete and has been the subject of detailed stratigraphic studies, including the compilation of measured sections for some units. West of the lake, the section is incomplete and less work has been done; three columns illustrate variations in the preserved stratigraphy for the time interval. In all cases, the columns are capped by the Oligocene–Miocene Qom Formation, which was deposited during a post-orogenic marine transgression and unconformably overlies units ranging from Precambrian to Cretaceous. Permian to Cretaceous stratigraphy is used to measure subsidence in the Lake Urmia basin up to the end of the Cretaceous, and then, the subsequent orogenic uplift, which was followed by further subsidence recorded by the deposition of the Qom Formation in the Oligocene–Miocene.

Water level instability analysis of Urmia Lake Basin in the northwest of Iran

2020 ◽  
Vol 13 (4) ◽  
Author(s):  
Fatemeh Bashirian ◽  
Dariush Rahimi ◽  
Saeed Movahedi ◽  
Reza Zakerinejad
Keyword(s):  
Water Level ◽  
Urmia Lake ◽  
Lake Basin ◽  
Instability Analysis ◽  
Northwest Of Iran ◽  
Urmia Lake Basin

scholarly journals Unraveling the Water-Energy-Food-Environment Nexus for Climate Change Adaptation in Iran: Urmia Lake Basin Case-Study

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1282
Author(s):  
Hossein Nasrollahi ◽  
Rasool Shirazizadeh ◽  
Reza Shirmohammadi ◽  
Omid Pourali ◽  
Majid Amidpour
Keyword(s):  
Climate Change ◽  
Sustainable Development ◽  
Water Level ◽  
Holistic Approach ◽  
Urmia Lake ◽  
Lake Basin ◽  
Lake Urmia ◽  
Industrial Sectors ◽  
Ecological Water Level ◽  
Urmia Lake Basin

A holistic approach to the management of water, energy, food, and the environment is required to both meet the socioeconomic demands of the future as well as sustainable development of these limited resources. The Urmia Lake Basin has faced environmental, social, and economic challenges in recent years, and this situation is likely to worsen under the impacts of climate change. For this study, an adaptability analysis of this region is proposed for the 2040 horizon year. Two models, the water evaluation and planning (WEAP (Stockholm Environmental Institute, Stockholm, Sweden)) and the low emissions analysis platform (LEAP (Stockholm Environmental Institute, Boston, MA, USA)), are integrated to simulate changes in water, energy, food, and the environment over these 20 years. Two climate scenarios and nine policy scenarios are combined to assess sustainable development using a multi-criteria decision analysis (MCDA) approach. Results show that, through pursuing challenging goals in agricultural, potable water, energy, and industrial sectors, sustainable development will be achieved. In this scenario, the Lake Urmia water level will reach its ecological water level in 2040. However, social, technical, and political challenges are considered obstacles to implementing the goals of this scenario. In addition, industry growth and industry structure adjustment have the most impact on sustainable development achievement.

scholarly journals Landslide susceptibility assessment using an integrated approach of the analytic network process and fuzzy logic, a case of Urmia Lake Basin

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Davoud OMARZADEH ◽  
Seyed Ahmad ESLAMINEZHAD ◽  
Mobin EFTEKHARI ◽  
Mohammad AKBAR
Keyword(s):  
Landslide Susceptibility ◽  
Integrated Approach ◽  
Urmia Lake ◽  
Fuzzy Membership ◽  
Lake Basin ◽  
Lake Urmia ◽  
Sensitive Areas ◽  
Network Process ◽  
Urmia Lake Basin ◽  
Very High

The occurrence of landslides has always been a problem in spatial planning as an environmental threat. The aim of the present study was to zoning landslide sensitive areas in the Urmia Lake Basin and to investigate the correlation between the characteristics of the region and the amount of landslide. To achieve these purposes, the situation of landslide sensitive areas in the Lake Urmia Basin was investigated using a combination of Fuzzy and Analytical Network Process (ANP) methods. The criteria' weight is obtained using the ANP, fuzzy Membership command, linear function, the fuzzy weight of the sub-criteria, and their fuzzy membership degree (between 0 and 1) are calculated. The weighted raster layers were combined using the Gamma overlay function. As a result of this operation, a classified map has been obtained which shows that 16.6% of the area has a very high landslide susceptibility, and the highest area of the study area, i.e., 27.32%, has a relatively high landslide susceptibility. The results of the present study were compared with the data recorded using field observations at landslide sites. The results showed that out of 182 points collected, 148 points (equivalent to 81.31%) correspond to class 6 (very high landslide susceptibility) and class 7 (extremely probable). The results of this research can be used in crisis management, identifying the suitability of the region in terms of geomorphological features, identifying environmental and natural hazards.

An Adaptive and Learning System for Feedback-Controlled Evoked Response Studies

1981 ◽  
Vol 20 (03) ◽  
pp. 169-173
Author(s):  
J. Wagner ◽  
G. Pfurtscheixer
Keyword(s):  
Brain Activity ◽  
Evoked Response ◽  
Learning System ◽  
Time Interval ◽  
Electrical Brain Activity ◽  
Long Time ◽  
The Subject ◽  
Eeg Power ◽  
Stimulation System ◽  
Background Eeg

The shape, latency and amplitude of changes in electrical brain activity related to a stimulus (Evoked Potential) depend both on the stimulus parameters and on the background EEG at the time of stimulation. An adaptive, learnable stimulation system is introduced, whereby the subject is stimulated (e.g. with light), whenever the EEG power is subthreshold and minimal. Additionally, the system is conceived in such a way that a certain number of stimuli could be given within a particular time interval. Related to this time criterion, the threshold specific for each subject is calculated at the beginning of the experiment (preprocessing) and adapted to the EEG power during the processing mode because of long-time fluctuations and trends in the EEG. The process of adaptation is directed by a table which contains the necessary correction numbers for the threshold. Experiences of the stimulation system are reflected in an automatic correction of this table. Because the corrected and improved table is stored after each experiment and is used as the starting table for the next experiment, the system >learns<. The system introduced here can be used both for evoked response studies and for alpha-feedback experiments.

Application of Satellite Remote Sensing for Estimation of Dust Emission Probability in the Urmia Lake Basin in Iran

2019 ◽  
Vol 83 (4) ◽  
pp. 993-1002 ◽  
Author(s):  
Mohaddese Effati ◽  
Hossien‐Ali Bahrami ◽  
Mohammad Gohardoust ◽  
Ebrahim Babaeian ◽  
Markus Tuller
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Dust Emission ◽  
Emission Probability ◽  
Urmia Lake ◽  
Lake Basin ◽  
Urmia Lake Basin

Dating Late Pleistocene Pluvial Events and Tephras by Correlating Paleomagnetic Secular Variation Records from the Western Great Basin

1992 ◽  
Vol 38 (1) ◽  
pp. 46-59 ◽  
Author(s):  
Robert M. Negrini ◽  
Jonathan O. Davis
Keyword(s):  
Great Basin ◽  
Secular Variation ◽  
Hot Springs ◽  
Time Interval ◽  
Lake Basin ◽  
Lake Surface ◽  
Surface Level ◽  
Sedimentary Sequences ◽  
Tephra Layers ◽  
Geologic Record

AbstractPaleomagnetic records are used to correlate sedimentary sequences from pluvial Lakes Chewaucan and Russell in the western Great Basin. This correlation is the basis for age control in the relatively poorly dated sequence from Lake Chewaucan. The resulting chronology supports a lack of sedimentation in Lake Chewaucan during the interval 27,400 to 23,200 yr B.P., an assertion supported by the presence of a lag deposit at the corresponding stratigraphic horizon. Because the Lake Chewaucan outcrop (near Summer Lake, Oregon) is near the bottom of the lake basin, we conclude that Lake Chewaucan was at a lowstand during this time interval. The Chewaucan lowstand is coeval with the lowstand accompanying the Wizard's Beach Recession (isotope stage 3) previously seen in the geologic record from nearby pluvial Lake Lahontan. The ages of six tephra layers, including the Trego Hot Springs tephra, were also estimated using the paleomagnetic correlation. Together, the new age of the Trego Hot Springs tephra (21,800 yr B.P.) and the lake surface level prehistory of Lake Chewaucan imply a revised model for the lake surface level prehistory of Lake Lahontan. The revised model includes a longer duration for the Wizard's Beach Recession and the occurrence of a younger lowstand of short duration soon after the lowstand corresponding to the Wizard's Beach Recession.

scholarly journals Investigation of correlation of the variations in land subsidence (detected by continuous GPS measurements) and methodological data in the surrounding areas of Lake Urmia

2012 ◽  
Vol 19 (6) ◽  
pp. 675-683 ◽  
Author(s):  
K. Moghtased-Azar ◽  
A. Mirzaei ◽  
H. R. Nankali ◽  
F. Tavakoli
Keyword(s):  
Time Series ◽  
Land Subsidence ◽  
Salt Lake ◽  
Linear Trend ◽  
Groundwater Resources ◽  
Time Interval ◽  
Gps Measurements ◽  
Lake Urmia ◽  
North West ◽  
Continuous Gps

Abstract. Lake Urmia, a salt lake in the north-west of Iran, plays a valuable role in the environment, wildlife and economy of Iran and the region, but now faces great challenges for survival. The Lake is in immediate and great danger and is rapidly going to become barren desert. As a result, the increasing demands upon groundwater resources due to expanding metropolitan and agricultural areas are a serious challenge in the surrounding regions of Lake Urmia. The continuous GPS measurements around the lake illustrate significant subsidence rate between 2005 and 2009. The objective of this study was to detect and specify the non-linear correlation of land subsidence and temperature activities in the region from 2005 to 2009. For this purpose, the cross wavelet transform (XWT) was carried out between the two types of time series, namely vertical components of GPS measurements and daily temperature time series. The significant common patterns are illustrated in the high period bands from 180–218 days band (~6–7 months) from September 2007 to February 2009. Consequently, the satellite altimetry data confirmed that the maximum rate of linear trend of water variation in the lake from 2005 to 2009, is associated with time interval from September 2007 to February 2009. This event was detected by XWT as a critical interval to be holding the strong correlation between the land subsidence phenomena and surface temperature. Eventually the analysis can be used for modeling and prediction purposes and probably stave off the damage from subsidence phenomena.

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