کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6316772 1619166 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Rapid identification of soil cadmium pollution risk at regional scale based on visible and near-infrared spectroscopy
ترجمه فارسی عنوان
شناسایی سریع آلودگی خاک کادمیوم در مقیاس منطقه ای براساس طیف سنجی قابل مشاهده و نزدیک مادون قرمز
کلمات کلیدی
خاک کادمیوم، طیف سنجی قابل مشاهده و نزدیک مادون قرمز، تصحیح سیگنال ارتوگنال، شبکه عصبی پخش برگشتی، شاخص کریگینگ،
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست شیمی زیست محیطی
چکیده انگلیسی
Soil heavy metal pollution due to long-term sewage irrigation is a serious environmental problem in many irrigation areas in northern China. Quickly identifying its pollution status is an important basis for remediation. Visible-near-infrared reflectance spectroscopy (VNIRS) provides a useful tool. In a case study, 76 soil samples were collected and their reflectance spectra were used to estimate cadmium (Cd) concentration by partial least squares regression (PLSR) and back propagation neural network (BPNN). To reduce noise, six pre-treatments were compared, in which orthogonal signal correction (OSC) was first used in soil Cd estimation. Spectral analysis and geostatistics were combined to identify Cd pollution hotspots. Results showed that Cd was accumulated in topsoil at the study area. OSC can effectively remove irrelevant information to improve prediction accuracy. More accurate estimation was achieved by applying a BPNN. Soil Cd pollution hotspots could be identified by interpolating the predicted values obtained from spectral estimates.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Pollution - Volume 206, November 2015, Pages 217-226
نویسندگان
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