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Somayeh Sima

Tarbiat Modares University | Assistant Professor

Subject Areas: Hydrology, water resources and environmental system management, remote sensing

 Recent Activity

ABSTRACT:

This file contains annual evaporation rates from Lake Urmia, northwest Iran, from 1994 to 2014. Estimates have been derived from various studies, mostly in Persian. Evaporation rates are converted to volumetric water losses using lake area data.

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ABSTRACT:

Sample python code

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ABSTRACT:

Urmia Lake, the second largest hyper-saline lake in the world, has experienced a significant drop in water level during the last decade. This study was designed to examine the water quality of Urmia Lake and to characterize the spatial heterogeneity and temporal changes of the physico-chemical parameters between October 2009 and July 2010. Two spatial interpolation methods, Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), were used and compared with each other to derive the spatial distribution of ionic constituents as well as TDS and density along the lake. Results showed that the main dominant cations and anions in Urmia Lake were Na+, Mg++, K+, Ca++, Cl- , SO4--, and HCO3-, respectively. Although water quality of the lake is homogeneous with depth, it differs between the northern and southern parts. Water quality also varies seasonally, determined by river inflows and the lake bathymetry. Moreover, with the present salinity level, salt precipitation is likely in Urmia Lake and is becoming one of the principal factors determining the distribution of solutes within the lake. This study shows that the combined use of temporal and spatial water quality data improves our understanding of complex, large aquatic systems like Urmia Lake.

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 Contact

Mobile 9123879765
Work 98 21 82883383
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Composite Resource Composite Resource
Developing water quality maps of a hyper-saline lake using spatial interpolation methods
Created: Nov. 15, 2018, 4:37 a.m.
Authors: Somayeh Sima ยท Masoud Tajrishy

ABSTRACT:

Urmia Lake, the second largest hyper-saline lake in the world, has experienced a significant drop in water level during the last decade. This study was designed to examine the water quality of Urmia Lake and to characterize the spatial heterogeneity and temporal changes of the physico-chemical parameters between October 2009 and July 2010. Two spatial interpolation methods, Inverse Distance Weighting (IDW) and Ordinary Kriging (OK), were used and compared with each other to derive the spatial distribution of ionic constituents as well as TDS and density along the lake. Results showed that the main dominant cations and anions in Urmia Lake were Na+, Mg++, K+, Ca++, Cl- , SO4--, and HCO3-, respectively. Although water quality of the lake is homogeneous with depth, it differs between the northern and southern parts. Water quality also varies seasonally, determined by river inflows and the lake bathymetry. Moreover, with the present salinity level, salt precipitation is likely in Urmia Lake and is becoming one of the principal factors determining the distribution of solutes within the lake. This study shows that the combined use of temporal and spatial water quality data improves our understanding of complex, large aquatic systems like Urmia Lake.

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Composite Resource Composite Resource
RichardHall data
Created: Nov. 20, 2018, 8:49 p.m.
Authors: Somayeh Sima

ABSTRACT:

Sample python code

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Composite Resource Composite Resource
Lake Urmia Evaporation
Created: Aug. 26, 2019, 10:52 a.m.
Authors: Sima, Somayeh

ABSTRACT:

This file contains annual evaporation rates from Lake Urmia, northwest Iran, from 1994 to 2014. Estimates have been derived from various studies, mostly in Persian. Evaporation rates are converted to volumetric water losses using lake area data.

Show More