برآورد منحنی نگهداری آب خاک به روش رگرسیون و به کمک مدل گرانولت و گرنت

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار گروه خاکشناسی دانشگاه بوعلی سینا-همدان

2 دانشجوی کارشناسی ارشد دانشگاه بوعلی سینا-همدان

3 استادیار مؤسسه تحقیقات برنج کشور

4 استاد دانشگاه بوعلی سینا-همدان

5 دانشیار دانشگاه بوعلی سینا-همدان

چکیده

ویژگی‌های هیدرولیکی خاک برای مدلسازی حرکت آب و مواد در خاک‌­ مورد نیاز می­باشد. به دلیل تغییرپذیری بالا و پیچیدگی خاک، به دست آوردن آنها به گونه مستقیم دشوار، زمان‌بر و هزینه بر است. توابع انتقالی برای برآورد منحنی نگهداری آب خاک (SWRC) با روش­های گوناگونی از جمله روش‌های رگرسیونی (regression) ساخته شده­اند. در این پژوهش توابع انتقالی برای برآورد پارامترهَای SWRC مدل گرانولت و گرنت بکار رفتند. برای این کار 69 نمونه از خاک‌­های استان گیلان گردآوری گردید. توزیع اندازه دانه‌های خاک و خاکدانه­های ریز، SWRC و ویژگی­های پایه خاک در آزمایشگاه اندازه‌­گیری گردید. مدل­های فراکتالی و غیر­فراکتالی بر داده­های توزیع اندازه دانه‌های خاک و خاکدانه­های ریز برازش شده و پارامتر­های آنها برآورد شدند. برای پیش­بینی پارامترهای مدل گرانولت و گرنت روش رگرسیون خطی (linear regression) بکار گرفته شد. برای برآورد هر کدام از پارامتر­های مدل گرانولت و گرنت چهار تابع انتقالی طراحی شد، به گونه­ای که از پارامتر­های مدل­های توزیع اندازه دانه‌ها و خاکدانه­های ریز همانند برآورد­گر بهره‌گیری گردید. سپس SWRC با استفاده از پارامتر­‌های برآورد شده محاسبه و با SWRC اندازه‌گیری شده مقایسه گردید. در مقایسه با دیگر برآورد­گرها، بهره‌گیری از پارامتر­های فراکتالی توزیع اندازه دانه‌های خاک برآورد بهتری از SWRC را بدست داد. مدل فردلاند با پارامتر­‌های بیشتری که دارد نتوانست دقتی بیشتر و یا معادل با پارامترهای فراکتالی با تعداد کمتر در برآورد SWRC بدست دهد. شاید این یافته برتری تئوری فراکتالی در مدلسازی توزیع اندازه دانه‌ها و SWRC را نشان دهد.

کلیدواژه‌ها

عنوان مقاله [English]

Developing Pedotransfer Functions to Estimate Soil Water Retention Curve by Regression Method Using Groenevelt and Grant Model

نویسندگان [English]

  • H. Bayat 1
  • G. Ebrahim Zadeh 2
  • Naser Davatgar 3
  • Ali Akbar Safari Sinegani 4
  • H. Zare Abyaneh 5
1 Assistant Professor, Bu Ali Sina University
2 M. Sc. student of Bu Ali Sina University
3 Assistant Professor, Rice Research Institute of Iran
4 Professor, Bu Ali Sina University
5 Associate Professor, Bu Ali Sina University
چکیده [English]

Data on soil hydraulic properties are required to model water movement in soils. Their direct measurements are difficult, time consuming, and expensive, because of high variability and complexity of soil systems. Pedotransfer functions are developed to estimate soil water retention curve (SWRC) using different techniques. In this study, pedotransfer functions were developed to estimate SWRC using the model of Groenevelt and Grant. Sixty nine soil samples were collected from Guilan Province. Soil particles and micro aggregate size distributions, SWRC, and basic soil properties were measured in the laboratory. Fractal and non-fractal models were fitted to the particles and micro aggregate size distributions and their parameters were calculated. Linear regression technique was used to predict the parameters of Groenevelt and Grant’s model. In order to estimate every parameter of the model of Groenevelt and Grant, four pedotransfer functions were developed using each technique and fractal parameters of particles and micro aggregates were used as predictors. Then, estimated parameters were used to simulate SWRC and were compared with the measured SWRC. Fractal parameters of the particle size distribution rendered better predictions of SWRC compared with the other predictors. In spite of the large number of the parameters, using Fredlund’s model did not result in more accurate predictions for SWRC in comparison with using fractal parameters. Probably, these results showed the priority of fractal theory in the particle size distribution and SWRC modeling.  

کلیدواژه‌ها [English]

  • Fractal parameters
  • Fredlund’s model
  • Micro aggregate size distribution
  • Particle size distribution

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پژوهش های خاک
دوره 27، شماره 4
اسفند 1392
صفحه 531-544

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