Simulation of Rainfall Intensity and Slope Gradient to Determination the Soil Runoff Coefficient at Microplot Scale

Authors

DOI:

https://doi.org/10.25156/ptj.v10n1y2020.pp12-17

Keywords:

Soil erosion, Rainfall simulator, Raindrop diameter, Runoff coefficient, Sedimentation

Abstract

Simulating rainfall is one of the valuable methods of measuring hydrological data and soil erosion processes. Rapid evaluation, high repeatability, and low cost are the reasons of using rain simulators. In this study, a rain simulator was constructed in dimensions of 3.0 × 3.0 × 3.0 m and it was protected on three sides by a plastic cover. An inclined table was used to create slopping surfaces of 5, 10, and 15%. Microplots were used in the dimensions of 0.2 × 0.4 × 1.0 m to collect and measure direct runoff in a bucket outside the device. Nozzles were calibrated to produce two different rainfall intensities 10 and 20 mmh−1 using sprinkler Model 5B at 8 and 12 psi, respectively. Furthermore, three different soil types, namely, clay loam (CL), silty clay (SC) loam, and SC were examined. In general, it was observed that with increasing the rainfall intensity and slope, the rate of runoff and sedimentation increase. SC soil at 15% slop offered the highest performance under the intensity of 20 mmh−1. SC and the CL soils produced the highest and lowest runoff coefficients, respectively. The CL soil produced the highest soil loss (1 kgm2 at 15% and I = 20 mmh−1). Further, it was concluded that a significant change (an average increase of 53%) in soil loss can be achieved as the rainfall intensity increased from 10 to 20 mmh−1.

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References

Aba Idah, P., H. I. Mustapha, J. J. Musa and J. Dike. 2008. Determination of erodibility in dices of soils in Owerri west local government area of Imo State Nigeria. Assumption Univ. J. Technol. 12: 130-133.

Al-Qurashi, A., N. McIntyre, H. Wheater and C. Unkrich. 2008. Application of the Kineros2 rainfall runoff model to an arid catchment in Oman. J. Hydrol. 355: 91-105.

Anctil, F. O., N. Lauzon, V. Andre’assian, L. Oudin and C. Perrin. 2006. Improvement of rainfall runoff forecasts through mean areal rainfall optimization. J. Hydrol. 328: 717-725.

Bagarello, V. and V. Ferro. 2010. Analysis of soil loss data from plots of differing length for the Sparacia experimental area Sicily Italy. Biosyst. Eng. 105: 411-422.

Bahat, Y., T. Grodek, J. Lekach and E. Morin. 2009. Rainfall-runoff modeling in a small hyper-arid catchment. J. Hydrol. 373: 204-217.

Boughton, W. 2006. Calibrations of a daily rainfall-runoff model with poor quality data. Environ. Model. Softw. 21: 1114-1128

Bradford, J. M. and C. Haug. 1992. Mechanisms of crust formation: Physical components. In: sumner, M. E. and Stewart, B. A. editors. Advances in Soil Science, Soil Crusting: Physical and Chemical Processes. Lewis Publi, Boca Roton. p55-72.

Chow, V. T. and T. E. Harbaugh. 1965. Raindrop production for laboratory watershed experimentation. J. Geophys. Res. 70: 6111-6119.

Clarke, M. A. and R. P. D. Walsh. 2007. A portable rainfall simulator for field assessment of splash and slope wash in remote locations. Earth Surf. Proc. Land. 32: 2052-2069.

Defersha, M. B. and A. M. Melesse. 2012. Effect of rainfall intensity, slope and antecedent moisture content on sediment concentration and sediment enrichment ratio. Catena. 90: 47-52.

Duiker S. W., D. C. Flanagan and R. Lal. 2001. Erodibility and infiltration characteristics of five major soils of southwest Spain. Catena. 45: 103-121.

Ellison, W. D. and W. H. Pomerene. 1944. A rainfall applicator. Agric. Eng. 25: 220.

Hudson, N. 1995. Soil Conservation. 3rd ed. BT Batsford, London. p391.

Imeson, A. C. 1977. A simple field-portable rainfall simulator for difficult terrain. Earth Surf. Process. 2: 431-436.

Jacquin, A. P. and A. Y. Shamseldin. 2006. Development of rainfallrunoff models using Takagi-Sugeno fuzzy inference systems. J. Hydrol. 329: 154-173.

Keya, D. R. 2009. Determination of Catchment Area to Cultivated Area Ratio for Crop Production System in Arbil Governorate. Submitted to College of Agriculture, University of Salahaddin. As a Partial Fulfillment of the Requirement of M.Sc. Thesis.

Laflen, J. M. and W. C. Moldenhauer. 1979. Soil and water losses from corn-soybean rotation. Soil Sci. Soc. Am. J. 43: 1213-1215.

Laws, J. O. and D. A. Parsons. 1943. The Relation of Raindrop Size to Intensity. Transactions of American Geophysical Union, 24th Annual Meeting. p452-460.

Le Bissonnais, Y. 1996. Aggregate stability and assessment of soil crustability and erodibility: I. Theory and methodology. Eur. J. Soil Sci. 47: 425-437.

Liu, B. Y., M. A. Nearing and L. M. Risse. 1994. Slope gradient effects on soil loss for steep slopes. Trans. ASAE. 37: 1835-1840.

Moore, I. D., P. E. Gessle, G. A. Nielson and G. A. Peterson. 1993. Soil attributes prediction using terrain analysis. Soil Sci. Soc. Am. J. 57: 443-452.

Moussouni, A., L. Mouzai and M. Bouhadef. 2012. Laboratory experiments: Influence of rainfall characteristics on runoff and water erosion. J. World Acad. Sci. Eng. Technol. 68: 1540-1543.

Mutchler, C. K. and L. F. Hermsmeier. 1965. A review of rainfall simulators. ASAE Trans. 8: 63-65.

ÓGeen, A. T., R. Elkins and D. Lewis. 2006. Erodibility of Agricultural Soils with Examples in Lake and Mendocino Counties Oakland. University of California, Division of Agriculture and Natural Resources, Publication No. 8194.

Rajurkar, M. P., U. C. Kothyari and U. C. Chaube. 2004. Modeling of the daily rainfall-runoff relationship with artificial neural network. J. Hydrol. 285: 96-113.

Romkens, M. J. M., C. B. Rose and D. W. Nelson. 1977. Erodibility of selected clay subsoils in relation to physical and chemical properties. Soil Sci. Soc. Am. J. 41: 954-960.

Sushil, N. M., P. Khanindra and B. Arnab. 2018. A comprehensive design of rainfall simulator for the assessment of soil erosion in the laboratory. CATENA. 172: 408-420.

Van Dijk, A. I. J., L. A. Bruijnzeel and C. J. Rosewell. 2002. Rainfall intensity kinetic energy relationships: A critical literature appraisal. J. Hydrol. 261: 1-23.

Wenbin, M., Y. Fuliang, C. Li and N. Zhao. 2015. Effects of rainfall intensity and slope gradient on runoff and soil moisture content on different growing stages of spring maize. Water. 7: 2990-3008.

Wischmeier, W. H. and D. D. Smith. 1978. Predicting Rainfall Erosion Losses: A Guide to Conservation Planning Agricultural Handbook. Vol. 537. US Department of Agriculture, Washington, DC.

Wischmeier, W. H., D. D. Smith and R. E. Uhland. 1958. Evaluation of factors in the soil-loss equation. Agric. Eng. 39: 458-462.

Xinliang, W. and W. Zhiyuan. 2017. Effects of erosion degree and rainfall intensity on erosion processes for Ultisols derived from quaternary red clay. Agric. Ecosyst. Environ. 249: 226-236.

Published

2020-06-30

How to Cite

Rasooli Keya, D., & Karim, T. H. (2020). Simulation of Rainfall Intensity and Slope Gradient to Determination the Soil Runoff Coefficient at Microplot Scale. Polytechnic Journal, 10(1), 12-17. https://doi.org/10.25156/ptj.v10n1y2020.pp12-17

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Section

Research Articles