Estimation of Annual Erosion and Sedimentation in Babolroud Catchment using MPSIAC Model

Shahiri Tabarestani, Ehsan; Afzalimehr, Hossein

doi:10.22034/jewe.2020.230807.1358

Document Type : Research Paper

Authors

¹ PhD Scholar, Department of Water Engineering, Faculty of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

² Professor, Department of Water and Environmental Engineering, Faculty of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

https://doi.org/10.22034/jewe.2020.230807.1358

Abstract

One of the problems of controlling erosion in catchment areas is the lack of statistical data to accurately estimate the amount of sedimentation and erosion. In order to implement soil protection programs and determine methods to reduce sedimentation, it is necessary to estimate the total volume of annual sediment production. The purpose of this study was to estimate the erosion intensity and sedimentation rate of Babolroud catchment located in Mazandaran province with an area of 962 km² and the variety of topography, lithology and vegetation using MPSIAC empirical model and to determine the accuracy of this model using Arc-GIS. In this method, the role of 9 factors affecting soil erosion were evaluated and depending on the severity and weakness of each factor, a score is attributed to it. Finally, considering the sum of the scores obtained for different factors, the sedimentation rate of the catchment was estimated. The results showed that, Babolroud catchment area with sedimentation rate of 166.469 m³/km².y is located on the low zone of sedimentation. One of the causes is the presence of dense pastures and calcareous formations and rocks with medium to high hardness in most areas. Moreover, according to the results, the highest amount of erosion is in the northern part of the catchment. In order to evaluate the accuracy of the results obtained from the experimental model, the observed information of the two sedimentation stations was used and the results indicate a relative average difference of 21% in the MPSIAC model.

Keywords

Main Subjects

Hydraulic and river engineering

References

Abdullah, M., Feagin, R., and Musawi, L. (2017). The use of spatial empirical models to estimate soil erosion in arid ecosystems. Environ. Monit. Assess., 189(2), 78.

Ahmadi H. (1995). Applied geo-morphology-water erosion, 1. Tehran University Press [In Persian].

Aksoy H. and Kavvas M. L. (2005). A review of hillslope and watershed scale erosion and sediment transport models. Catena, 64, 247–271.

Alizadeh A. (1990). Soil Erosion and Conservation. Astan Qods Razavi Publication, 870 [In Persian].

Angima S., Stott D., O’Neill M., Ong C. and Weesies G. (2003). Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agri. Ecosys. Environ., 97(1-3), 295–308.

Bagherzadeh A. and Daneshvar M. R. M. (2011). Sediment yield assessment by EPM and PSIAC models using GIS data in semi-arid region. Front. Earth Sci., 5(2), 207–216.

Bahrami M. and Rahimi A. (2008). Estimation of sedimentation at Kordsheikh basin using GIS. Appl. Geol., 2, 82-89 [In Persian].

Jain M. K. and Das D. (2009). Estimation of sediment yield and areas of soil erosion and deposition for watershed prioritization using GIS and remote sensing. Water Resour. Manage., 24(10), 2091–2112.

Jhonson C. W. and Gembhart A. C. (1982). Predicting sediment yield from sagerbrush range lands. USDA-SEA ARM Western series. No. 26.

Kidane M., Bezie A., Kesete N. and Tolessa T. (2019). The impact of land use and land cover (LULC) dynamics on soil erosion and sediment yield in Ethiopia. Heliyon, 5(12), e02981

Lin C. Y., Lin W. T. and Chou W. C. (2002). Soil erosion prediction and sediment yield estimation: the Taiwan experience. Soil Tillage Res., 68, 143–152.

Mirakhorlo M. S. and Rahimzadegan M. (2018). Application of sediment rating curves to evaluate efficiency of EPM and MPSIAC using RS and GIS. Environ. Earth Sci., 77(20), 723

Noori H., Karami H., Farzin S., Siadatmousavi S. M., Mojaradi B. and Kisi O. (2017). Investigation of RS and GIS techniques on MPSIAC model to estimate soil erosion. Nat. Hazard., 91(1), 221–238.

Noori H., Siadatmousavi S. M. and Mojaradi B. (2016). Assessment of sediment yield using RS and GIS at two sub-basins of Dez Watershed, Iran. Int. Soil Water Conserv. Res., 4(3), 199–206.

Pourhosein M., Afzalimehr H., Singh V. P. and Dehghani A. (2015), Evaluation of bed load in a gravel-bed river. Int. J. Hydraul. Eng., 4(3), 70-79.

Pourkarimi M., Mahmoudi S., Masihabadi M., Pazira E. and Moeini A. (2017). Use of MPSIAC and EPM to estimate sediment yield and erosion-a case study of a watershed of the second urban phase, Mashhad, Khorasan Province. Agri. Forest., 63(4), 201-213

Rajbanshi J. and Bhattacharya S. (2020). Assessment of soil erosion, sediment yield and basin specific controlling factors using RUSLE-SDR and PLSR approach in Konar river basin, India. J. Hydrol., 587, 124935.

Rastgoo S., Ghahraman B., Sanainezhad H., Davari K. and Khodashenas R. (2006). Estimation of sediment yield at Tangkenesht basin using MPSIAC and EPM methods. Agri. Sci. Technol. Nat. Resour., (10), 91-104 [In Persian].

Refahi H. G. (2015). Water erosion and conservation. Tehran: University of Tehran Publication [In Persian].

Renard K. G., Foster G. R., Weesies G. A. and Porter J. P. (1991). RUSLE, revised universal soil loss equation. J Soil Water Conserv., 46(1), 30–33.

Singh G. and Panda R. K. (2017). Grid-cell based assessment of soil erosion potential for identification of critical erosion prone areas using USLE, GIS and remote sensing: A case study in the Kapgari watershed, India. Int. Soil Water Conserv. Res., 5(3), 202–211.

Tangestani M. H. (2001). Integrating geographic information systems in erosion and sediment yield applications using the erosion potential method (EPM) Proceedings of the GIS Research UK, Ninth Annual Conference, 18–20 April, University of Glamorgan, Wales, UK 2001 pp. 621–623.

Wang G., Gertner G., Fang S. and Anderson A. B. (2003). Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogram. Eng. Remote Sens., 69(8), 889–898.

Williams J. R. (1975) Sediment routing for agricultural watersheds. Water Resour. Bull., 11, 965–974.

Wischmeier W. H. and Smith D. D. (1978). Predicting rainfall erosion losses. USDA Agricultural Research Services Handbook, 537. Washington, DC: USDA.

Zarei A. R., Mokarram M. and Shabani A. (2019). Evaluation of sediment yield (Qs) in Bishezard watershed located southwest of Iran, using PSIAC and MPSIAC models. Int. J. Global Environ. Issues, 18(1), 1-23.

Zhang W., Zhou J., Feng G., Weindorf D. C., Hu G. and Sheng J. (2015). Characteristics of water erosion and conservation practice in arid regions of Central Asia: Xinjiang Province, China as an example. Int. Soil Water Conserv. Res., 3(2), 97-111.

Environment and Water Engineering

Estimation of Annual Erosion and Sedimentation in Babolroud Catchment using MPSIAC Model

References

References

Volume 6, Issue 3
September 2020
Pages 192-205

Estimation of Annual Erosion and Sedimentation in Babolroud Catchment using MPSIAC Model

References

References

Volume 6, Issue 3September 2020Pages 192-205

Volume 6, Issue 3
September 2020
Pages 192-205