Comparing Modeling of Pollution in Arvand River in the Dry and Wet Seasons
Water resources under threat of pollution such as industrial waste, fertilizers, pesticides and urban sewage that negative effects on the environment and ecosystems. Arvand River is one of the most important navigable rivers in Iran، and it’s the most traffic place for floating which don’t have any system for delivery waste materials and discharging these waste materials in water making oil pollution. In this research, modeling pollution in the Arvand River using three-dimensional and hydrodynamic model to simulate how the pollution is studied, the Navier-Stokes equations in three dimensions and equations are solved transfer salinity and water temperature separation method. Boundary conditions applied، including changes in temperature، salinity and flow rate، temperature and salinity changes and apply for open border river and tidal components O1، S2، M2 and K1 open sea in the model used for the border. In this research, modeling pollution in the Arvand River using coherence and hydrodynamic modeling to simulate how the pollution is studied.The results of modeling pollution in Arvand After running the model revealed that the pollution is pollution in the Arvand River according to location and time of release، In other words، in the Arvand River pollution from one point to another and from season to season is different، in fact، pollution is reciprocating mode. Diffusion of oil pollution in Arvand rood is depending to current. In low tide because of same side of river current is more. And in low tide because of same side of river current with low tide pollution reached to the Persion Gulf with high speed. The results shows, represent the effect of tie on diffusion pollution.
Main Authors: | Abdolkhanian, Nasrin, Elmizadeh, Heeva, Dadolahi Sohrab, Ali, Savari, A., FayazMohammadi, Mohammad |
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Format: | Journal Contribution biblioteca |
Language: | Persian |
Published: |
2018
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Subjects: | Modeling, Coherence model, Distribution, Pollution, Tide, Dry, Wet, Seasons, |
Online Access: | http://hdl.handle.net/1834/13427 |
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