Assessment of Climate Change and Land Use Change on Soil Erosion (Case study: Kondaran watershed)

Document Type : Research Article

Authors

1 University of Hormozgan

2 Jiroft University

Abstract

Climate change and land use can greatly affect soil erosion and the ability of the soil to maintain agriculture, and in turn could affect regional or global food security. The purpose of this study was to assess the effect of climate change and land use change on erosion using the RUSLE model. Therefore, climate change is based on two scenarios of climate change, RCP2.6 and RCP8.5 using the statistical model For the period 2015-2030 and 2050-2050. The LCM model was used to predict land use changes in the Kondran watershed. Also, the RUSLE model was used to assess the soil erosion in the base period (1986-2015) and in simulated courses (2016-2030 and 2031-2050) under the influence of climate change scenarios. The results showed that rainfall erosion and factor C in the RUSLE model are directly affected by climate change and land use change and vegetation cover. So that, R-factor will increase from 83.7 in basis period to 83.7 MJ mm ha-1 h-1 y-1 in 2016-2030 and 82.3 in 2031-2050. Also, C-factor will increase from 0.225 in basisi period to 0.43 during 2016-2030 and 0.56 during 2031-2050. The average soil erosion was 9.8 (ton/ha/year) during the base period, which in durint 2016-2030, using the two scenarios examined, averagely 11.37 ton/ha/year will increase and during 2031-2050 will increase to 10.3 ton/ha/year.

Keywords

Main Subjects

References

[1]     .Zare M, Nazari A.A, Mohammadi M, Teimourian T, Bazrafshan J. Simulation of soil erosion under the influence of climate change scenarios, Springer-Verlag Berlin Heidelberg,2016; 75: 1405.
[2]     .Arun Mondal D. Kh, Sananda K, Pramod Kumar M, Mishra P. K and Rituraj Sh. Impact of Climate Change on Future Soil Erosion in Different Slope, Land Use, and Soil-Type Conditions in a Part of the Narmada River Basin, India, Journal of Hydrologic Engineering, 2014; 20(6): 1-13.
[3]     .Simonneaux V, Cheggour A, Deschamps C, Mouillot F, Cerdan O , Le Bissonnais Y. Land use and climate change effects on soil erosion in a semi-aridmountainous watershed (High Atlas, Morocco). J. Arid Environ, 2015; 122: 64–75.
[4]     .Deepak K.h, Arun M , Sananda K, Prabhash Kumar M. Climate change impact on soil erosion in the Mandakini River Basin, North India, Springer,2017; 7(3):2373–2383.
[5]     .Asghari Esrazankrood P, Mrgari L, Piroozi A. Investigation of Land Use Change Changes and its Effect on Erosion Using RS and GIS (Case Study, Nair County), Remote Sensing and Geographic Information System in Natural Resources,2018; 8 (4): 62-49.[persian]
[6]     .Mishra V. N, Rai P. K, Mohan K. Prediction of land use changes based on land change modeler (LCM) using remote sensing: a case study of Muzaffarpur (Bihar), India. Journal of the Geographical Institute" Jovan Cvijic", SASA,2014; 64(1): 111-127
[7]     .Paroissien J. B, Darboux F., Couturier, A , Devillers B, Mouillot F, Raclot D, Le Bissonnais Y. A method for modeling the effects of climate and land use changes on erosion and sustainability of soil in a Mediterranean watershed (Languedoc, France). Journal of environmental management,2015; 150:57-68.
[8]     .Tavangar S.h, Moradi H, Masha-Boani, A.S, Azari M. Prediction of climate change effect on rainfall erosion on the southern coast of the Caspian Sea, Engineering and Watershed Management, 2016; 3(4): 424-414.[persian]
 
[9]     .Segura C, Sun G, McNulty S, Zhang Y. Potential impacts of climate change on soil erosion vulnerability across the conterminous United States. J. SoilWater Conserv, 2014; 69 (2): 171–181.
[10]  .Haan C.T, Barfield B.J, and Hayes J.C. Design hydrology and sedimentology for small catchments. Academic Press, San Diego,1994; 588p.
[11]  .Delgado M. I, Gaspari F. J, Kruse E. E. Land Use Changes and Sediment Yield on a Hilly Watershed in Central-East Argentina. Soil & Water Res. 2015; 10 (3): 189–197.
[12]  .Serpa D, Nunes J.P, Santos J, Sampaio E, Jacinto R, Veiga S, Lima J.C, Moreira M, Corte-Real J, Keizer J.J, Abrantes N. Impacts of climate and land use changes on the hydrological and erosion processes of two contrasting Mediterranean catchments. Sci. Total Environ, 2015; 538: 64–77.
[13]  Erfanian M, Ghaharahmani Saatloo P, Saadat H. Assessment of Soil Erosion Risk using a Fuzzy Model in Gharnaveh Watershed, Golestan. J. Water and Soil Conserv, 2015, 21(6), 135-154.
[14]  Torabian moghadam E, Naderi, M, Mohammadi J, Fatahi, R. Temporal and Spatial variations of Rainfall Erosivity in Southwest of Iran. J. Water and Soil Conserv,2015, 21(4), 139-157.
[15]  Seyedalipour H, Feiznia S, Ahmadi H, Zare M, Hosseinalizadeh, M., Comaprison of Soil Erosion by 137CS and RUSLE-3D for Loess Deposits North-East of Iran (Study Area: Aghemam Catchment). J. Water and Soil Conserv, 2014, 21(5), 27-47.
[16]  Rahmati, S. JavadiTabalvandani M, Rangavar, A, FAramarz, M. Evaluating of efficiency and accuracy of USLE, AOF, MUSLE-S and MUSLE-E models on estimating of event-based erosion amount (Case study: Sanganeh soil conservation research Institute of Mashhad). J. Water and Soil Conserv, 2014, 21(4), 215-229.
[17]  .Hafez Karaj Consulting Engineer. Identification studies - Explanation of erosion and sedimentation of Kondaran watershed. 2013.[persian]
[18]  .Refahi Hussein. Water erosion and its control, Tehran University, Fourth Edition, 1999; 671 p.
[19]  .Renard K. G, Freimund J.R. use monthly precipitation data to estimate the R factor in the revised USLE, J. Hydrol, 1994;157: 287-306.
[20]  .Wischmeier W.H. A soil erodibility nomograph for farmland and construction sites. J. Soil and Water Conservation,1971; 26: 189-193.
[21]  .Moore I.D, Wilson J.P. Length-slope factors for the Revised Universal Soil Loss Equation: Simplified method of estimation. J. Soil and Water Conservation, 1993; 47(15): 423-428.
[22]  .Benkobi L, Trlica M.J, and Smith J.L. Evaluation of a refined surface cover subfactor for use in RUSLE. J. Range Manage, 1994; 47(12): 74-78.
[23]  .Biesemans J, Meirvenne M.V, and Gabriels D. Extending the RUSLE with the Monte Carlo error propagation technique to predict long-term average off-site sediment accumulation. J. Soil Water Conservation,2000; 55(6): 35-42.
[24]  .Arora V. K, Scinocca J. F, Boer G. J, Christian J. R, Denman K. L, Flato G. M, Kharin, V. V, Lee W. G. and Merryfield W. J. Carbon emission limits required to satisfy future representativeconcentration pathways of greenhouse gases. Geophysical Research Letters,2011; 38(5): 1-6.
[25]  .IPCC. Climate Change 2013: the physical science basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, New York. 2013.
[26]  .Wilby R. L, Dawson C. W, Murphy C, Connor P. O’, Hawkin E. tati tical own caling Mo l − ci ion ntric(SDSM-DC): conceptual basis and applications. Climate Research,2014; 61(3): 251-268.
[27]  .Taei Semiromi S, Moradi H. R, Khodagholi, M. Simulation and prediction some of climatic variables by multiple linear model SDSM and atmospheric general circulation models (case study: Neishabour). Journal of Human & Environment, 2014; 12(28):1-16.
[28]  .Khoi D.D, Murayama Y.. Forecasting Areas Vulnerable to Forest Conversion in the Tam Dao National Park Region, Vietnam. Remote Sensing, 2010; 2 (5): 1249–1272.
[29]  .Schulz J.J. Factors influencing vegetation cover change in Mediterranean Central Chile (1975–2008). Applied Vegetation Science, 2011; 14 (4): 1-12.
[30]  .Merten,B., E.F., Lambin, Spatial modeling of tropical deforestation in southern Cameroon: spatial disaggregation of diverse deforestation processes. Applied Geography, 1997, 17 (2), 143-162.
[31]  .Linkie M , Smith R.J, Leader-Williams N. Mapping and predicting deforestation patterns in the lowlands of Sumatra. Biodiversity and Conservation, 2004; 13 (10), 1809-1818.
[32]  .Fan F, Wang Y, Wang Z. Temporal and spatial change detecting (1998–2003) and predicting of land use and land cover in Core corridor of Pearl River Delta (China) by using TM and ETM+ images. Environmental Monitoring Assessment, 2008; 137 (1-3), 127-147.
[33]  .Koocheki A, Nassiri Mahallati M, Jafari L. Evaluation of Climate Change Effect on Agricultural Production of Iran: I.Predicting the Future Agroclimatic Conditions. Iranian Journal of Field Crops Research. 2016;4(13): 651-664.[persian]
[34]  .Abbasi F, Babaian A, Habibi Nokhandan M, Goli Mokhtari L, Malbousi S.H, Asgari S.H. Assessing the impact of climate change on Iran's temperature and precipitation over the coming decades, or the MAGICC-SCENGEN model, Natural Geography Research.2011; 5(72): 91-109. [persian]
[35]  .Nateghi S, Nohegar A, Ehsani A, Bazrafshan O. Coastal desert land use monitoring using change vector analysis technique during 2001 to 2014(Case study: Qeshm Island), 2016; 23(2): 416-404. [persian]
[36]  .Lelieveld J, Hadjinicolaou P, Kostopoulou E , Chenoweth, J, El Maayar, M, Giannakopoulos C, Xoplaki E. Climate change and impacts in the Eastern Mediterranean and the Middle East. Climatic Change, 2012; 114(3-4): 667-687.
[37]  Solomon S, Qin D, Manning M, Chen Z, Marquis M, Averyt K.B, Tignor M, Miller H.L. (Eds.), Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
[38]  Aghakhaniafshar A, Hasanzadeh Y, Besalarpour A.A, Poureza M. Seasonal Changes of Precipitation and Temperature of Mountainous Watersheds in Future Periods with Approach of Fifth Report of Intergovernmental Panel on Climate Change (Case study: Kashafrood Watershed Basin). J. Soil and Water, 2016, 30(5); 118-1732.
[39]  Azizabadi Farahani M, Bakhtiari, B, Ghaderi, K, Rezapour, M. Impact of climate change on severity- duration and frequency of Gherasoo watershed using copula. J. Soil and Water Res, 2016, 47(4): 754-743.
[40]  Goodarzi M, Fatehifar A. Flood hazard mapping affected climate change using RCP8.5 and SWAT (Shahrchai watershed). Scien J Manage Syst, 2017, 53(19): 99-117.
[41]  .Parry, M., Rosenzweig, C., Iglesias, A., Fischer, G., and Livermore, M., Climate change and world food security: a new assessment. Global Environmental Change 1999, 9: S51-S67.
[42]  . Mohammadi, S., Karimzadeh, H., Alizadeh, M. (2018). Spatial estimation of soil erosion in Iran using RUSLE model. Iranian journal of Ecohydrology, 5(2), 551-569. doi: 10.22059/ije.2018.239777.706
[43]  Mohammadi, M., Fallah, M., Kavian, A., Gholami, L., Omidvar, E. (2016). The Application of RUSLE Model in Spatial Distribution Determination of Soil loss Hazard. Iranian journal of Ecohydrology, 3(4), 645-658. doi: 10.22059/ije.2016.60368
Iranian journal of Ecohydrology
Volume 6, Issue 2
July 2019
Pages 353-368

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History

  • Receive Date: 22 November 2018
  • Revise Date: 14 March 2019
  • Accept Date: 14 March 2019
  • First Publish Date: 22 June 2019
  • Publish Date: 22 June 2019

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