ارزیابی روش طیف‌سنجی امواج مرئی - مادون قرمز و روش‌های PLSR و SVMR در مدل‌سازی کربن آلی و کل مواد خنثی شوند خاک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه خاکشناسی، پردیس علوم و تحقیقات خوزستان، دانشگاه آزاد اسلامی، اهواز، ایران

2 گروه خاکشناسی، واحد اهواز، دانشگاه آزاد اسلامی، اهواز، ایران

3 گروه خاکشناسی، دانشکده کشاورزی، دانشگاه زنجان، زنجان، ایران

چکیده

برای مدیریت پایداری اراضی، اطلاع از فعالیت‌ها و خصوصیات خاک و تغییرات زمانی و مکانی آنها ضروری است. طیف‌سنجی امواج مرئی و مادون قرمز نزدیک به دلیل دقت و سرعت عمل بالا قابلیت ویژه‌ای در شناسایی و تعیین خصوصیات خاک دارد. هدف این مطالعه ارزیابی دقت روش طیف‌سنجی مرئی-مادون قرمز نزدیک در برآورد مقدار کربن آلی(OC) و کل مواد خنثی شونده خاک (TNV)  خاک است. به این منظور تعداد 110 نمونه خاک از استان‌های خوزستان، یزد و تهران تهیه و در آزمایشگاه طیف‌سنجی گردید. طیف به‌دست آمده از دستگاه طیف‌سنج با 5 روش پیش‌پردازش فیلتر ساویتزکی گولای (SG)، مشتق اول همراه با ساویتزکی گولای  (FD-SG)، مشتق دوم همراه با ساویتزکی گولای (SD-SG)، واریانس استاندارد نرمال (SNV)، تصحیح پخشیده چندگانه (MSC) اصلاح شد. همچنین عملکرد دو روش PLSR و SVMR در برآورد ویژگی‌های خاک مقایسه گردید. نتایج نشان دادند که مدل PLSR نسبت به مدل SVMR در برآورد OC و TNV دقت بالاتری دارد. دربرآود  OC، مدل PLSR و روش پیش‌پردازش MSC (47/1= RPDVAL و 19/0 = RMSEVAL ،59/0 =VAL R2) بهترین عملکرد و روش پیش‌پردازش SD-SG، ضعیف­ترین عملکرد (52/0= RPDVAL و 27/0 = RMSEVAL ،15/0 =VAL R2) را نشان داد. همچنین برای TNV روش پیش‌پردازش (FD-SG) بهترین عملکرد (01/2= RPDVAL و 70/5 = RMSEVAL ،78/0 =VAL R2) و روش پیش‌پردازش (SD-SG) ضعیف­ترین عملکرد (31/0= RPDVAL و 13/11 = RMSEVAL ،1/0 =VAL R2) را نشان داده است. طول موج کلیدی برای OC در محدوده 421 و 612 نانومتر و برای TNV در محدوده 2315 و 2151 نانومتر مشاهده گردید. این مطالعه نشان داد که روش طیف‌سنجی Vis-NIR به علت دارا بودن اساس فیزیکی و در نظر گرفتن فاکتورهای تاثیرگذار، به عنوان یک مدل بزرگ مقیاس، قابلیت مناسبی برای ارزیابی و پیش­بینی OC و TNV خاک دارد.

کلیدواژه‌ها


عنوان مقاله [English]

Assessing the Visible–Near-Infrared Spectroscopy Method and PLSR and SVMR Methods in Modeling Organic Carbon and Total Neutralizing Value of Soil

نویسندگان [English]

  • Rokhsar Akbarifazli 1 2
  • teimour babaeinejad 2
  • Navid Ghanavati 2
  • Akbar Hasani 3
  • Mohammad Sadegh Askari 3
1 Department of Soil Science. Khoozestan Science and Research Branch, Islamic Azad University, Ahvaz, Iran
2 Department of Soil Science. Khoozestan Science and Research Branch, Islamic Azad University, Ahvaz, Iran
3 Department of soil science, faculty of Agriculture, university of Zanjan, Zanjan, Iran
چکیده [English]

For sustainable land management, it is necessary to understand the functions and characteristics of soils, and their spatial and temporal changes. Visible and near-infrared spectroscopy has a specific capability to identify and determine soil properties due to high accuracy and high-performance speed. The purpose of this study is to evaluate the accuracy of visible and near-infrared spectroscopy method in estimating soil organic matter and total neutralizing value. Therefore, 110 soil samples were collected from Khuzestan, Yazd and Tehran provinces, and spectral reflectance was performed using ASD FieldSpec3. The spectra obtained from the spectrometer were pre-processed using five methods including Savitzky-Golay filter (SG), the first derivative with the Savitzky-Golay filter (FD-SG), the second derivative with the Savitzky-Golay filter (SD-SG), the standard normal variate (SNV), and Multiplicative scatter correction (MSC). Also, the performance of PLSR and SVMR methods was compared in terms of soil organic carbon and total neutralizing value estimation. The results indicated that the PLSR model in estimating both organic carbon properties and total neutralizing value had higher accuracy compared to the SVR model. In estimation of soil organic carbon, PLSR method and MSC preprocessing method had the best performance (R2VAL=0.59, RMSEVAL=0.19 and PRDVAL=1.47) and the second derivative method had the least performance (R2VAL=0.15, RMSEVAL=0.27 and PRDVAL=0.52). Also for estimation of total neutralizing value, the first derivative preprocessing method had the best performance (R2VAL=0.78, RMSEVAL=5.70 and PRDVAL=2.01) and the second derivative method had the least performance (R2VAL=0.1, RMSEVAL=11.13, and PRDVAL=0.31). The key wavelengths were observed for soil organic matter in the range of 421- 612 nm and for total neutralizing value in the range of 2315- 2151 nm. This study showed that the Vis-NIR spectroscopy method, due to its physical basis and considering the influencing factors, as a large-scale model, makes it possible to evaluate and predict soil OC and TNV.

کلیدواژه‌ها [English]

  • Organic carbon
  • Preprocessing
  • Regression
  • Spectroscopy
  • Total neutralizing value
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