Spatial Analysis of Contamination in the Arvand River Using GIS

Subject Areas : GIS

Nasrin Abdolkhanian ¹ , Heeva Elmizadeh ² , Ali Dadolahi Sohrab ³ , Ahmad Savari ⁴ , Mohammad FayazMohammadi ⁵

1 - M.A. Student, Marine Environment, Faculty of Marine Natural Resources, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran.
2 - Assistant Professor Department of Environment, Faculty of marine Natural Resources, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran. *(Corresponding Author)
3 - Associate Professor Department of Environment, Faculty of Marine Natural Resources, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran.
4 - Professor, Department of Marine Biology, Faculty of Marine and Oceanic Science, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran.
5 - Oceanography Physic Teacher, Department of Physical Oceanography, Faculty of Marine and Oceanic Science, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran.

Received: 2017-09-20 Accepted : 2017-10-25 Published : 2020-09-22

Keywords: GIS, Pollution, Arvand River, Modeling, Spatial Analysis,

Abstract :

Background and Objectives: Arvand River is a vast river in the southwest and on the border of Iran and Iraq, which is threatened by a variety of pollutants such as industrial effluents, fertilizers, chemical toxins and municipal wastewater that have adverse effects on the environment and ecosystem. The purpose of this study is spatial analysis of pollution changes in Arvand River using GIS.  Method: In this research, pollution distribution modeling using GIS in Arvandrud river has been used using three-dimensional and hydrodynamic model of Coherence. The continuity equation, Navira-Stokes equations in three dimensions and salinity and temperature transfer equations are solved by separation method. The applied boundary conditions include temperature, salinity and discharge changes for the open river boundary and temperature and salinity changes and the application of tidal components O1, S2, M2 and K1 for the open sea boundary are used in the model. Findings: We call the outputs of the Coherence model, which are in NetCDF format, in the GIS environment, then georeferences the contamination of a specific time (tidal mode), and finally classifies it in the GIS environment. Discussion and Conclusion: In this regard, the changes in the pollution of the taxonomic river and the Arvand River are classified on a scale of 1 to 5, with rank 1 indicating the lowest degree of pollution and rank 5 indicating the highest degree of pollution. According to the percentage of area covered by pollution in different stations, it was observed that the highest level of pollution in the first station in the mode of mode and low water with a value of 32.27%, in the second station in the state of low tide with a value of 32.87% And in the third station, it is 28.48% in fashionable and watery mode.

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