Spatial and Temporal Evaluation of Soil Erosion using RUSLE model Landsat satellite image time series (Case Study: Menderjan, Isfahan)

Mohammadi, Shahin; Karimzadeh, Hamidreza; Pourmanafi, Saeid; Soltani, Saeed

doi:10.22059/jrwm.2018.221162.1073

Document Type : Research Paper

Authors

¹ Student

² Range and watershed management, natural resources, Isfahan university Technology,Isfahan, Iran

³ Assistant Professor of Natural Resources Engineering Department, Isfahan university Technology,Isfahan, Iran

⁴ Rangeland and Watershed Group, faculty of natural resources ,Isfahan university technology.Iran

https://doi.org/10.22059/jrwm.2018.221162.1073

Abstract

Soil is one of the most important production factors that has a great impact on human socio-economic life and the process of soil erosion is one of the environmental issues that threatens the environment, natural resources and agriculture. Spatial and temporal information of the soil loss and soil erosion on the land has a significant role in influencing management practices, soil erosion control and watershed management. Therefore, this study was conducted with the aim of studying the spatial and temporal estimation of soil erosion during 1994, 1999, 2008 and 2015 in the sub-basin of Menderjan with an area of 21100 hectares located in the west of Isfahan province using RS and GIS. In the present study, while conducting field studies, various data and information including the digital elevation model, satellite images, soil, and statistics on rain gauge stations were used as a research tool. Estimation of soil erosion in the study area was carried out using RUSLE Model. The results of this study showed that the amount of soil erosion in 1994, 1999, 2008 and 2015 was 0.001 to 233, 0.001 to 297, 0.001 to 231 and 0.001 to 215 "ton/”ha.year”. The topography factor in the study area with the correlation coefficient of 80% had the greatest effect on the estimation of annual soil erosion by the RUSLE model. This research corroborate the effectiveness of modern GIS technologies and remote sensing in temporal simulation for quantitative, exact, and point-to-point estimates in the whole area to obtain soil erosion content.

Keywords

References

[1] Al-Abadi, A., Ghalib, H. and Al-Qurnawi, W. (2016). Estimation of soil erosion in northern Kirkuk governorate using RUSLE, remote sensing and GIS. Carpathian journal of earth and environmental sciences, 11(1), 153-166.

[2] Amsalu, T. and Mengaw, A. (2014). GIS based soil loss estimation using rusle model: the case of jabi tehinan woreda Ethiopia. Natural Resources, 5(11), 616-625.‏

[3] Arekhi, S. and Niazi, Y. (2010). Assessment of GIS and RS applications to estimate soil erosion and sediment loading by using RUSLE model (Case Study: upstream basin of Ilam dam). Journal of Soil and Water Conservation, 17 (2), 1-27.

[4] Arekhi, S., Niazi, Y. and Kalteh, A. (2012). Soil erosion and sediment yield modeling using RS and GIS techniques: a case study, Iran. Arabian Journal of Geosciences, 5(2), 285-296.‏

[5] Asadi, H., Vazifehdust, M., Mousavi, S.A. and Honarmand, M. (2010). Assessment of soil erosion risk and revised universal soil loss equation, GIS and RS in the Navrood watershed.

[6] Demirci, A. and Karaburun, A. (2012). Estimation of soil erosion using RUSLE in a GIS framework: a case study in the Buyukcekmece Lake watershed, northwest Turkey. Environ Earth Sci, 66, 903–913.

[7] Durigon, V. L., Carvalho, D. F., Antunes, M., Oliveira, P. and Fernandes, M. (2014). NDVI time series for monitoring RUSLE cover management factor in a tropical watershed. International Journal Remote Sensing, 35(2), 441-453.

[8] Eskandari, M., Dastorani, M., Fattahi, A. and Nasri, M. (2012). Assessment of the effects of Watershed management activities done on the flow regime. 3rd National Conference on Comprehensive Water Resources Management In date 10 - 11 September. Sari, Iran.

[9] Fathizad, H., Karimi, H. and Alibakhshi S. M. (2014). The estimation of erosion and sediment by using the RUSLE model and RS and GIS techniques (Case study: Arid and semi-arid regions of Doviraj, Ilam province, Iran). International Journal of Agriculture and Crop Sciences, 7(6), 304-314.‏

[10] Habashi, Kh., Mohammadi, Sh., Karimzadeh, H.R. and Pourmanafi, P. (2018). Assessment soil erotion risk in kohpayeh - segzi plain using Revised Universal Soil Loss Equation (RUSLE). Journal of Natural Environmental Hazards, 7(15), 161-178.

[11] Hengl, T. (2006). Finding the right pixel size. Computers & Geosciences, 32(9), 1283- 1298.

[12] Karam, A., Safarian. A. and Hajjah Frooshnia, H. (2010). Estimation and zoning soil erosion in the Mamlou watershed (East of Tehran) by using the revised universal soil loss equation and AHP. earth science researchs, 1 (2), 73-86.

[13] Kinnell, P. (2000). Applying the USLE-M within the agricultural non-point source pollution model. Environmental Modelling & Software, 15(3), 331-341.

[14] Lal, R., Blum, W., Valentin, C. and Stewart, B. (1997). Methods for assessment of soil degradation. 1^st edition, CRC press.

[15] Lin, C. (1997). A study on the width and placement of vegetated buffer strips in a mudstone-distributed watershed. Journal China Soil Water Conservation, 29 (3), 250–266.

[16] Mahdavi, M. (2009). Applied hydrology. Tehran University Press.

[17] Mohammadi, Sh., Habashi, Kh. and Pourmanafi, S. (2018). Monitoring and prediction land use/ land cover changes and its relation to drought (Case study: sub-basin Parsel B2, Zayandeh Rood watershed). Jorunal Of RS & GIS for Natural Resources, 9(1), 24-39.

[18] Mohammadi, S., Karimzadeh, H. R. and Habashi, K. (2017). Soil erosion assessment using CORINE model (case study: the Zayandehroud basin, Menderjan sub-basin), The 1st International Conference Of SilkGIS, 24-26 May, Isfahan University of Technology, Esfahahan, Iran.

[19] Mohammadi, S., Karimzadeh, H. R. and Habashi, K. (2017). Soil erosion assessment using ICONA model (case study: the Zayandehroud basin, Menderjan sub-basin), The 1st International Conference Of SilkGIS, 24-26 May, Isfahan University of Technology, Esfahahan, Iran.

[20] Mohammadi, S., Karimzadeh, H. R. and Habashi, Kh. (2018). Assessment soil erosion and deposition in the menderjan watershed using USPED and RUSLE models in the environment of geographical information system (GIS). DEEJ, 6 (17) 43-56.

[21] Mohammadi, Sh., Karimzadeh, H. R. and Alizadeh, M. (2018). Spatial estimation of soil erosion in Iran using RUSLE model. Iran Journal of Eco Hydorolgy, 5(2), 551-569.

[22] Moore, I. and Wilson, J. (1993). Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation. Journal Soil and Water Conservation, 47, 423-428.

[23] Nasri, M., Feiznia, S., Jafari, M. and Ahmadi, H. (2012). Application of Gully and Rill Erosion Indicators for Estimating Soil Loss Using GIS Techniques. Desert, 17(2), 119-128.‏

[24] Niknammi, D. and Mehdian, M. (2015). Rainfall erosivity mapping in Iran, Journal of Watershed Engineering and Management, 6(4), 364-376.

[25] Nwaogu, C., Okeke, O. J., Adu, S. A., Babine, E. and Pechanec, V. (2017). Land Use land cover change and soil-gully erosion relationships: a study of Nanka, south-eastern nigeria using geoinformatics. Dynamic in GIscience,‏ 305-319

[26] Renard, K. G. and J. R. Freimund. (1994). Using monthly precipitation data to estimate the R-factor in the revised USLE. Journal of hydrology, 157(1), 287-306.

[27] Renard, K. G., Foster, G. R., Weesies, G. A., McCool, D. K. and Yoder, D. (1997). Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE), Washington, DC: United States Department of Agriculture.‏

[28] Rezaei, P., Faridi, P., Ghorbani, M. and Kazemi, M. (2014). Estimating of soil erosion by using RUSLE model and identifying of the most effective factor in Gabric-southeast watershed basin of the Hormozgan province. Journal of Quantitative Geomorphology, 3 (1), 97-113.

[29] Sadeghi, S. H. and Tavangar, S. (2015). Development of stational models for estimation of rainfall erosivity factor in different timescales. Natural Hazards, 77(1), 429-443.‏

[30] Sadeghi, S. H. R. and Hazbavi, Z. (2015). Trend analysis of the rainfall erosivity index at different time scales in Iran. Natural Hazards, 77(1), 383-404.‏

[31] Sadeghi, S. H., Zabihi, M., Vafakhah, M. and Hazbavi, Z. (2017). Spatiotemporal mapping of rainfall erosivity index for different return periods in Iran. Natural Hazards, 87(1), 35-56.‏

[32] Shayesteh, A., karimzadeh, H.R. and Soltani, S (2008). Evaluation of land use changes by using Landsat data, Case Study: Menderjan Watershed, Isfahan Province. A thesis at Isfahan University of Technology, Department of natural resources. Rangeland and Watershed group, 55-65p.

[33] Shirazi, M.A. and Boersma, L. (1984). a unifying quantitative analysis of soil texture. Soil Science Society of America Journal, 48,142-147.

[34] Teng, H., Rossel, V., Shi, Z., Behrens, T., Chappell, A. and Bui, E. (2016). Assimilating satellite imagery and visible–near infrared spectroscopy to model and map soil loss by water erosion in Australia. Environmental Modelling & Software, 77, 156-167.‏

[35] Tucker, C.J. (1979). Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127-150.

[36] Van Remortel, R. D., Maichle, R. and Hickey, R. (2004). Computing the LS factor for the Revised Universal Soil Loss Equation through array-based slope processing of digital elevation data using a C++ executable. Computers & Geosciences, 30(9), 1043-1053.‏

[37] Wischmeier, W. H. and D. D. Smith. (1978). Predicting rainfall erosion losses-A guide to conservation planning. USDA, Science and Education Administration, USA.

[38] Zabihi, M., Sadeghi, S.H.R. and Vafakhah, M. (2015). Spatial analysis of rainfall erosivity index patterns at different time scales in Iran. Watershed Engineering and Management, 7(4), 442-457.

[39] Zare, M., Samani, A. N., Mohammady, M., Salmani, H. and Bazrafshan, J. (2017). Investigating effects of land use change scenarios on soil erosion using CLUE-s and RUSLE models. International Journal of Environmental Science and Technology, 14(9), 1905-1918.‏

[40] Zhang, H., Wei, J., Yang, Q., Baartman, J., Gai, L., Yang, X., Li, S., Yu, J., Ritsema, C. J. and Geissen, V. (2017). An improved method for calculating slope length (λ) and the LS parameters of the Revised Universal Soil Loss Equation for large watersheds. Geoderma, 308, 36-45.

Journal of Range and Watershed Managment

Spatial and Temporal Evaluation of Soil Erosion using RUSLE model Landsat satellite image time series (Case Study: Menderjan, Isfahan)

References

References

Volume 71, Issue 3
December 2018
Pages 759-774

Spatial and Temporal Evaluation of Soil Erosion using RUSLE model Landsat satellite image time series (Case Study: Menderjan, Isfahan)

References

References

Volume 71, Issue 3December 2018Pages 759-774

Volume 71, Issue 3
December 2018
Pages 759-774