کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6539372 | 1421098 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Phytoremediation modeling in soil contaminated by oil-hydrocarbon under salinity stress by eucalyptus (A comparative study)
ترجمه فارسی عنوان
مدل سازی فیزیوتراپی در خاک آلوده به هیدروکربن نفت تحت تنش شوری با اکالیپتوس (یک مطالعه مقایسه ای)
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کلمات کلیدی
آلودگی نفت خام اکالیپتوس، شوری آلودگی خاک، فشار،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
This study is designed to compares the efficiency of three models about behavior of plants under crude oil pollution and stress salinity. To model phytoremediation of a soil contaminated with oil hydrocarbons under salinity stress the models of Maas-Hoffman, Van Genuchten and Hoffman, Dirksen were used. The first factor was crude oil at 5 levels (control, 1, 2, 3, 4% W/W), and the second factor salinity at 5 levels (control, 4, 5.5, 7, and 9â¯dS/m). To understand about the efficiency of Eucalyptus to decrease the content of hydrocarbons, oil hydrocarbon concentration was compared before and after planting. The results showed that crude oil and salinity affected fresh and dry weights of the root and the shoot, root volume, stem diameter, number of leaves, leaf area, and stem height (pâ¯<â¯0.05). All of the models used in this study could determine the behavior of plants against these stresses (R2â¯>â¯0.98). Additionally, the potential of eucalyptus seedlings to reduce the concentrations of total petroleum hydrocarbons (TPH) was studied by measuring TPH concentration in the soil before and after planting. Generally it can be resulted that the model of Dirksen had the highest accuracy with the highest R2 (99%) and lowest RMSE (from 0.0001 to 0.0002) and SSE (from 0.005 to 0.0007). As a prudent suggestion for practical application, the Dirksen model can be used with more confident compared to two other models just after its local calibration.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 150, July 2018, Pages 162-169
Journal: Computers and Electronics in Agriculture - Volume 150, July 2018, Pages 162-169
نویسندگان
Mahnaz Taheri, Babak Motesharezadeh, Ali Asghar Zolfaghari, Iman Javadzarrin,