عملکرد توابع انتقالی طیفی پارامتریک و نقطه‌ای برای برآورد منحنی مشخصه رطوبتی خاک

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشجوی دکتری گروه خاک‌شناسی دانشکدة کشاورزی دانشگاه تربیت‌مدرس تهران

2 استاد گروه خاک‌شناسی دانشکدة کشاورزی دانشگاه تربیت‌مدرس تهران

3 استادیار پژوهشکدة حفاظت خاک و آبخیزداری تهران

چکیده

اندازه‌گیری مستقیم ویژگی‏های هیدرولیکی خاک معمولاً هزینه‏بر و وقت‏گیر است. تلاش‏ فراوانی صورت گرفته تا بتوان از طریق توابع انتقالی خاک (PTFs) و به کمک اطلاعات زودیافت به ویژگی‏های هیدرولیکی خاک دست یافت. هدف این پژوهش ارزیابی عملکرد پارامتریک و نقطه‏ای توابع انتقالی طیفی (STFs) و PTFها در برآورد پارامترهای مدل‏های منحنی رطوبتی ون‏گنوختن و بروکز‌ـ کوری بود. همچنین، به ‏منظور مقایسة کارایی متغیرهای طیفی و متغیرهای مبنایی خاک، عملکرد توابع انتقالی طیفی و توابع انتقالی خاک‏های منطقه نسبت به مهم‌ترین توابع انتقالی برخی خاک‏های جهان بررسی شد. بدین منظور، تعداد 174 نمونه خاک گرد‏آوری و منحنی‏های طیفی آن‏ها در گسترة 350 تا 2500 نانومتر با استفاده از دستگاه اسپکترورادیومتر زمینی اندازه‏گیری شد. برخی ویژگی‏های فیزیکی خاک همراه مقادیر رطوبت در پتانسیل‏های ماتریک معین اندازه‏گیری و به روش حداقل مربعات خطا و پارامترهای مدل‏های رطوبتی ون‏گنوختن و بروکز‌ـ کوری محاسبه شد. با استفاده از روش رگرسیون مرحله‏ای چندگانه، توابع انتقالی خاک و توابع انتقالی طیفی پارامتریک و نقطه‏ای اشتقاق یافت. نتایج نشان داد STFs و PTFs خاک‏های منطقه در هر دو رویکرد نقطه‏ای و پارامتریک نسبت به PTFsهای دیگر مناطق جهان (متوسط RMSR برابر 100/0)، برای پیش‏بینی نگه‌داشت آب در خاک، دقت بیشتری (متوسط RMSR برابر 029/0) دارند. دقت برآورد رطوبت خاک توسط مدل ون‏گنوختن (متوسط RMSR برابر 034/0) نسبت به مدل بروکز‌ـ کوری (متوسط RMSR برابر 041/0) بیشتر بود. به‏ طور کلی، STF و PTFهای اشتقاق‌یافته دقت تقریباً برابری داشتند؛ با این تفاوت که در مکش‏های متوسط و زیاد STFها برآوردی بهتر ارائه کردند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Evaluating Point and Parametric Spectral Transfer Functions for a Prediction of Soil Water Characteristics

نویسندگان [English]

  • Ebrahim Babaeian 1
  • Mehdi Homaee 2
  • Ali Akbar Norouzi 3
1 PhD Student, Department of Soil Science, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
2 Professor, Department of Soil Science, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran
3 Assistant Professor, Soil Conservation and Watershed Management Research Institute (SCWMRI), Tehran, Iran
چکیده [English]

Direct measurement of soil hydraulic properties is usually expensive and time consuming. Several attempets have been made to establish PedoTransfer Functions (PTFs), that use readily available soil data, to provide soil hydraulic properties. The objective of the present study was to evaluate point and parametric Spectral Transfer Functions (STFs) as well as PTFs to estimate van Genuchten (vG) and Brooks-Corey (BC) parameters needed for predicting soil water characteristics’ curve. The derived STFs and PTFs were further evaluated with a number of available PTFs to find out if spectral variables can effectively improve the accuracy of soil water retention predictions. Consiquently, a number of 174 soil samples were collected and used to measure the spectral reflectance curves in visible, near-infrared and shortwave-infrared range, using a handheld spectroradiometer. Some physical soil properties and soil water contents at their specific matric potentials were recorded. Using a non-linear least square optimization method, the vG and BC parameters were then calculated. Stepwise multiple linear regression statistics was employed to derive point and parametric STFs and PTFs. The results indicated that the derived point and parametric STFs and PTFs are of higher accuracy (with mean RMSR of 0.029 cm3 cm-3) in predicting soil water retention than the published PTFs (with mean RMSR of 0.100 cm3 cm-3). Furtheremore, vG model was found to more accurately predict soil water content (mean RMSR of to 0.034 cm3 cm-3) than BC model (mean RMSR of 0.041 cm3 cm-3). The overall findings reveal that the derived STFs and PTFs provide almost similar results, but the STFs performance is somewhat more accurate at mid and high metric potentials.

کلیدواژه‌ها [English]

  • Soil spectral reflectance
  • Spectral transfer function
  • peotransfer functions

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