این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Archives of Hygiene Sciences، جلد ۶، شماره ۱، صفحات ۹۶-۱۰۴
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Feed Forward Artificial Neural Network Model to Estimate the TPH Removal Efficiency in Soil Washing Process
چکیده انگلیسی مقاله Background & Aims of the Study: A feed forward artificial neural network (FFANN) was developed to predict the efficiency of total petroleum hydrocarbon (TPH) removal from a contaminated soil, using soil washing process with Tween 80. The main objective of this study was to assess the performance of developed FFANN model for the estimation of TPH removal. Materials and Methods: Several independent repressors including pH, shaking speed, surfactant concentration and contact time were used to describe the removal of TPH as a dependent variable in a FFANN model. 85% of data set observations were used for training the model and remaining 15% were used for model testing, approximately. The performance of the model was compared with linear regression and assessed, using Root of Mean Square Error (RMSE) as goodness-of-fit measure Results: For the prediction of TPH removal efficiency, a FANN model with a three-hidden-layer structure of 4-3-1 and a learning rate of 0.01 showed the best predictive results. The RMSE and R2 for the training and testing steps of the model were obtained to be 2.596, 0.966, 10.70 and 0.78, respectively. Conclusion: For about 80% of the TPH removal efficiency can be described by the assessed regressors the developed model. Thus, focusing on the optimization of soil washing process regarding to shaking speed, contact time, surfactant concentration and pH can improve the TPH removal performance from polluted soils. The results of this study could be the basis for the application of FANN for the assessment of soil washing process and the control of petroleum hydrocarbon emission into the environments.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله حسین جعفری منصوریان | hossein jafari mansoorian
aenvironmental health engineering research center, department of environmental health engineering, school of health, ker


مصطفی کریمایی | mostafa karimaee
cdepartment of environmental health engineering, aradan school of health and paramedicine, semnan university of medical

سازمان اصلی تایید شده: دانشگاه سمنان (Semnan university)

مهدی هادی | mahdi hadi
ecenter for water quality research cwqr , institute for environmental research ier , tehran university of medical scie

سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

الهه جامه porazmey | elaheh jame porazmey
research center for environmental pollutants, qom university of medical sciences, qom, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی قم (Qom university of medical sciences)

فرزان براتی | farzan barati
gdepartment of mechanics, faculty of engineering, hamedan branch, islamic azad university, , hamedan, iran.

سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

منصور بازیار | mansour baziar
ddepartment of environmental health engineering, school of health, tehran university of medical science, tehran, iran.

سازمان اصلی تایید شده: دانشگاه تهران (Tehran university)

نشانی اینترنتی http://jhygiene.muq.ac.ir/browse.php?a_code=A-10-52-2&slc_lang=en&sid=en
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/251/article-251-331365.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده 1
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات