Simulation of changes trend in soil chemical properties Irrigated with wastewater using Gene expression programming model

Subject Areas : forest

مینا  Arast ¹ (M.Sc Student of Desertification, Faculty of Natural Resources, University of Tehran)
GH.R  Zehtabian ² (استاد گروه احیای مناطق خشک و کوهستانی، دانشکده منابع طبیعی، دانشگاه تهران)
محمد  Jafari ³ (استاد گروه احیای مناطق خشک و کوهستانی، دانشکده منابع طبیعی، دانشگاه تهران)
حسن  Khosravi ⁴ (استادیار گروه احیای مناطق خشک و کوهستانی، دانشکده منابع طبیعی، دانشگاه تهران)
سعید  Shojaee ⁵ (دانش آموخته کارشناسی ارشد بیابان زدایی، دانشکده منابع طبیعی، دانشگاه تهران)

Received: 2015-11-17 Accepted : 2016-05-14 Published : 2016-08-22

Keywords: Optimization, Gene Expression Programming, Municipal Wastewater, Qom Plain,

Abstract :

Abstract Due to the growing population in arid and semi-arid region, limited water resources is increasing. So, the use of unconventional waters is counted as an important tool in the management of water resources of arid areas.  In this regard, the use of urban wastewater for irrigation combined with combating desertification projects are cases that need be investigated. The effect of such water on soil physical and chemical properties is very important. In recent decades, because of the ability to process simulation artificial intelligence techniques have many applications in different fields. Gene expression programming (GEP) is counted as component of evolutionary algorithms and is able to optimize the structure of the model and its components. In this research, the ability and accuracy of gene expression programming was evaluated for simulating the sodium, pH and electrical conductivity changes of soil in land irrigated with wastewater and non-irrigated land in Qom plain. For modeling soil chemical properties change, randomly the 70% of the observed data on the electrical conductivity, pH and sodium were used to determine the appropriate model; the rest of data were used to calibrate the models. Soil chemical parameters and wastewater treatment were selected as independent variable and function, respectively. The results of compared gene showed that gene expression programming has modeled soil chemical properties changes. In the best model performing, the highest amount of determination coefficient was estimated 0.97, 0.96 and 0.97 for electrical conductivity, pH and sodium respectively.   

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