Comparison Eight Methods for Estimating Soil Moisture Characteristic Curve Based on Two Methods for Estimating Soil Particle Size Distribution Curve

آب و خاک

Article 2, Volume 28, Issue 6, January 2015, Pages 1085-1094   

Document Type: Research Article

DOI: 10.22067/jsw.v0i0.20280

Author

H.R. Fooladmand^*

Marvdasht Branch, Islamic Azad University

Abstract

The relationship between soil moisture and soil matric suction is called soil moisture characteristic curve, which its measurement is time-consuming and expensive. One of the estimation methods of soil moisture characteristic curve is using the soil particle size distribution curve and bulk density which contains a scaling parameter (). In this study, 10 soil samples were selected from Marvdasht region in Fars province, and soil texture and soil moisture characteristic curve of each soil were measured. Then, the soil particle size distribution curve of each soil was estimated based on Fooladmand and Sepaskhah model (FS) and Fooladmand and Mansuri model (FM), and also eight methods were used for determining the scaling parameter including linear procedure with constant void ratio (N), logistic procedure with constant void ratio (G), linear procedure with local void ratio (LN), logistic procedure with local void ratio (LG), Alfa-1 (A1), Alfa-2 (A2), Alfa-3 (A3) and Alfa-4 (A4). Therefore, the soil moisture characteristic curve of each soil was estimated with 16 different methods, and all of them were compared with measured soil moisture characteristic curve data. For this purpose, Standard error (SE), geometric mean error ratio (GMER) and geometric standard deviation of the error ratio (GSDER) were used. The results sowed that the FM model for estimating the soil particle size distribution curve and then estimation the soil moisture characteristic curve was better than the FS model. In general, the results indicated that the procedures of FM-A1, FM-A2, FM-A3, FM-N and FM-LN were appropriate for estimating the soil moisture characteristic curve.

Keywords

Soil moisture characteristic curve; Soil particle size distribution curve; Scaling factor; Linear procedure; Logistic procedure

References

1- خوشنودیزدی ع.ا. و قهرمان ب. 1383. بررسی روابط بافت خاک و پارامتر مقیاس بندی برای برآورد رطوبت خاک. مجله تحقیقات مهندسی کشاورزی. 5(20):34-17.

2- رخشنده‌رو غ.ر. و اسلامی‌حقیقت ع. 1387. ارزیابی منحنی مشخصه آب و خاک بر اساس تئوری تخلخل موضعی. آب و فاضلاب. 66: 76-67.

3- رضایی ح.، نیشابوری م.ر. و سپاسخواه ع.ر. 1384. ارزیابی مدل‌های شبیه‌سازی منحنی مشخصه آب خاک بر اساس توزیع دانه‌بندی ذرات خاک. دانش کشاورزی. 15(2):130-119.

4- رضایی ع. و نیشابوری م.ر. 1381. تخمین منحنی خصوصیات آب خاک از منحنی توزیع اندازه ذرات، جرم مخصوص ظاهری و حقیقی خاک. دانش کشاورزی. 12(3):37-29.

5- رضایی ل.، شعبانپور م. و دواتگر ن. 1390. برآورد پارامتر مقیاس به روش‌های مختلف در مدل آریا و پاریس برای بهبود تخمین منحنی مشخصه آب خاک. دانش آب و خاک. 21(3):114-103.

6- فولادمند ح.ر. 1386. بهبود تخمین منحنی مشخصه آب خاک با استفاده از منحنی دانه‌بندی و چگالی ظاهری خاک. علوم و فنون کشاورزی و منابع طبیعی. 11(41- الف):73-63.

7- فولادمند ح.ر. 1390. تخمین منحنی مشخصه آب خاک با استفاده از چند روش محاسبه عامل مقیاس‌بندی. پژوهش‌های حفاظت آب و خاک. 18(1):213-199.

8- فولادمند ح.ر.، سپاسخواه ع.ر. و نیازی ج. 1383. تخمین منحنی مشخصه آب خاک با استفاده از منحنی دانه‌بندی و چگالی ظاهری خاک. علوم و فنون کشاورزی و منابع طبیعی. 8(3):13-1.

9- قنبریان علویجه ب.، لیاقت ع.م.، شرفا م. و مقیمی عراقی س. 1387. پیش‌بینی منحنی مشخصه رطوبتی با استفاده از منحنی دانه‌بندی خاک. مجله تحقیقات مهندسی کشاورزی. 9(1):80-63.

10- Arya L.M., and Paris J.F. 1981. A physico-empirical model to predict the soil moisture characteristic from particle-size distribution and bulk density. Soil Science Society of America Journal, 45:1023-1030.

11- Arya L.M., Leij F.J., Van Genuchten M.Th., and Shouse P.J. 1999. Scaling parameter to predict the soil water characteristic from particle-size distribution data. Soil Science Society of America Journal, 63:510-519.

12- Fooladmand H.R., and Habibi M. 2012. Estimating soil water characteristic curve based on soil-particle-size distribution curve and local void ratio. African Journal of Agricultural Research, 7(14):2197-2204.

13- Fooladmand H.R., and Mansuri M. 2013. Comparison of two models for estimating soil particle-size distribution curve based on soil textural data. Archives of Agronomy and Soil Science, 59:83-92.

14- Fooladmand H.R., and Sepaskhah A.R. 2006. Improved estimation of the soil particle-size distribution from textural data. Biosystems Engineering, 94:133-138.

15- Fredlund M.D., Fredlund D.G., and Wilson G.W. 2000. An equation to represent grain-size distribution. Canadian Geotechnical Journal, 37:817-827.

16- Sepaskhah A.R., and Rafiee M.R. 2008. Evaluation of scaling parameter to predict soil water characteristic curve using improved particle-size distribution. Iranian Journal of Science and Technology, 32(B5):549-556.

17- Shirazi M.A., and Boersma L. 1984. A unifying quantitative analysis of soil texture. Soil Science Society of America Journal, 48: 142-147.

18- Skaggs T.H., Arya L.M., Shouse P.J., and Mohanty B.P. 2001. Estimating particle-size distribution from limited soil texture data. Soil Science Society of America Journal, 65:1038-1044.

19- Tietje O., and Hennings V. 1996. Accuracy of the saturated hydraulic conductivity prediction by pedo-transfer functions compared to the variability within FAO textural classes. Geoderma, 69: 71-84.

20- Tyler S.W., and Wheatcraft S.W. 1989. Application of fractal mathematics to soil water retention estimation. Soil Science Society of America Journal, 53:987-996.

21- Van Genuchten M.Th. 1980. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal, 44: 892-898.

22- Vaz C.M.P., Iossi M.F., Naime J.M., Macedo A., Reichert J.M., Reinert D.J., and Cooper M. 2005. Validation of the Arya and Paris water retention model for Brazilian soils. Soil Science Society of America Journal, 69: 577-583.

23- Wagner B., Tarnawski V.R., Hennings V., Muller U., Wessoleu G., and Plagge R. 2001. Evaluation of pedotransfer functions for unsaturated soil hydraulic conductivity using an independent data set. Geoderma, 102: 275– 297.