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کاربرد روش طیف‌سنجی مرئی و فرو سرخ نزدیک در تشخیص آلودگی خاک به کادمیوم و سرب با مدل سازی رگرسیونی و شبکه عصبی مصنوعی | ||
| مهندسی بیوسیستم ایران | ||
| مقاله 5، دوره 48، شماره 1، اردیبهشت 1396، صفحه 43-37 اصل مقاله (536.1 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijbse.2017.61559 | ||
| نویسندگان | ||
| حسنی محمدی منور* 1؛ حسین باقرپور2 | ||
| 1استادیار، گروه مکانیک بیوسیستم، دانشکده کشاورزی، دانشگاه بوعلی سینا، همدان | ||
| 2دانشگاه بوعلی سینا همدان | ||
| چکیده | ||
| آلودگی خاک به عناصر سنگین می‌تواند به‌طور مستقیم و غیرمستقیم بر سلامتی موجودات زنده اثر بگذارد. با افزایش غلظت فلزات در خاک، احتمال ورود به گیاهان نیز افزایش می‌یابد. در نتیجه تجمع آن‌ها در محصولات کشاورزی سلامتی انسان را به مخاطره خواهد انداخت. هدف از این مطالعه، تعیین توزیع کادمیوم و سرب در خاک سطحی شهرستان بهار در استان همدان و ارزیابی وضعیت آلودگی این فلزات در خاک مزارع کشت سیب‌زمینی می‌باشد. بدین منظور با استفاده از روش نمونه‌برداری سیستماتیک، نمونه‌های خاک در عمق cm45-0 برداشت گردید. از یک روش سریع و دقیق داده‌برداری بر پایه طیف‌سنجی مرئی و فروسرخ نزدیک (VIS-NIR) در محدوده طیف 370 -2000 نانومتر استفاده شد. طیف بازتابی تعداد 95 نمونه خاک برای تخمین تجمع کادمیوم و سرب جمع آوری گردید. برای کاهش عوامل متداخل از طیف نمونه‌های خاک، روش‌های پیش‌پردازش MSC ،SNV و مشتق بکار رفت. نتایج نشان داد آلودگی‌ها که گاهی به علت ترکیب آب آبیاری با فاضلاب شهری صورت می‌گیرد، در خاک سطحی تجمع دارند. پیش بینی فلزات سنگین با روش رگرسیون حداقل مربعات جزئی و شبکه عصبی مصنوعی انجام شد (R2PLSR=0/90, R2BPNN=0/95). نتایج نشان می‌دهد شبکه عصبی بازگشتی و طیف‌سنجی VIS-NIR برای پیش‌بینی میزان کادمیوم و سرب موجود در خاک سطحی مناسب می‌باشند. | ||
| کلیدواژه‌ها | ||
| : فلزات سنگین خاک؛ رگرسیون حداقل مربعات جزئی؛ شبکه عصبی مصنوعی؛ طیف‌سنجی مرئی و فروسرخ نزدیک | ||
| عنوان مقاله [English] | ||
| Application of visible and near-infrared spectroscopy for identification of cadmium (Cd) and lead (Pb) pollution in soil using regression models and ANN | ||
| نویسندگان [English] | ||
| Hosna Mohammadi Monavar1؛ Hosein Bagher pour2 | ||
| 1Assitant Professor, Biosystem mechanic Department, Faculty of Agriculture, Bualisina University of Hamedan | ||
| 2Bualisina University of Hamedan | ||
| چکیده [English] | ||
| The aims of this study were to determine the distribution of cadmium and lead in topsoil in Bahar city of Hamadan and to evaluate pollution of these metals in agricultural lands which cultivated potato. Therefore, systematic sampling was used, soil samples were taken from depth 0-45 cm. Visible and near-infrared (VIS-NIR) spectroscopy was provided as a quick and accurate method in 370 -2000 nm range. The reflectance spectrum of 95 soil samples were collected to estimate the concentration of cadmium and lead. To reduce noise on soil spectra, MSC, SNV and derivative preprocessing methods were used. The results showed contamination usually occurs due to combinations of sewage irrigation, it accumulates in the topsoil. Prediction of heavy metals were estimated by partial least squares regression and artificial neural network (R2PLSR = 0/90, R2BPNN = 0/95). | ||
| کلیدواژه‌ها [English] | ||
| Soil heavy metals, Partial least squares regression, artificial neural network, VIS-NIR spectroscopy | ||
| مراجع | ||
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