The Effectiveness of the Quantitative Analysis of Geomorphometric Parameters in Preparation of Soil Erosion Susceptibility Map (Case Study: Monj Watershed)

Document Type : Research Article

Authors

• Mojtaba Yamani ¹
• Alireza Arab Amri ²

¹ University of Tehran

² Tarbiat Modares

10.22067/geo.v7i2.65865

Abstract

Introduction

Geomorphometry is the science of quantitative land-surface analysis. The main purpose in geomorphometry is to extract the parameters of the earth's surface and the shape of the earth from a DEM (digital elevation model), which first refers to the continuous properties such as slope, aspect and so on. It is produced and extracted in the form of raster maps and images. The latter also refers to discrete spatial features such as alluvial fan, drainage network, and watershed border, which are produced as a vector map in the form of lines, maps and, polygons. Soil erosion in the Monj Watershed is damaging; therefore, the main objective of this research is to analyse the geomorphometric parameters and prepare a soil erosion susceptibility map using VIKOR algorithm and CF method in this watershed.

Materials and Methods

Since the hydrological units are based on the analysis of geomorphometric parameters, the use of the stream networks, and the contour lines in the topographic maps at 1: 50000 scale and the digital elevation data derived from Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) images version 2 in ArcGIS10.4 software along with Arc Hydro and SAGA GIS v.3.0.0 attempted to determine the boundaries of hydrological units and determine the sub-watersheds. Then, the streams were ranked. Digital elevation data derived from Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) images version 2 are based on the extraction of basic, linear, shaped, and topographic morphometric parameters. The mentioned geomorphometric parameters were prepared using the ArcGIS10.4 software and other data needed for the next step. After extracting and analyzing the geomorphometric parameters in each sub-watershed, using VIKOR algorithm and CF method, sub-watersheds are prioritized. Then, soil erosion susceptibility map of the study area was prepared with both methods and was verified by the PSIAC method.

Discussion

In this research, the quantitative analysis of the Monj Watershed and its 11 sub-watersheds were carried out to evaluate the geomorphometric characteristics of each sub-watershed and to investigate the susceptibility of erosion in each of the sub-watersheds. In this regard, 22 geomorphometric parameters were investigated, and the results indicate the basic, linear, shape, and topographic characteristics of the watershed. Based on the ranking of the streams, the Monj watershed was classified as a five-order watershed with an area of ​​71/70 km2 and a perimeter of 373/123 km. The total number of streams in the watershed is 2204. The total length of the streams in the watershed is 327.393 km. The lengths of the streams in the watershed vary from a minimum of 4.62 km for the sub-watershed 6 to a maximum of 91.62 km for sub-watershed 7. The mean values ​​of the stream length vary from a minimum of 0.1216 for the sub-watershed 6 to a maximum of 0.1187 for the sub-watershed 8. In the next step, the geomorphometric analysis of watershed was carried out to prioritize the sub-watersheds in different scales and sub-watersheds. Finally, all sub-watersheds were categorized into 4 classes in terms of susceptibility to erosion according to the values of VIKOR algorithm and CF model. The determination of the importance of the effective parameters in erosion using AHP method showed that the parameters of drainage density, slope, and infiltration number with scores (0.125, 0.116 and 0.104),had the greatest effect on the erodibility of sub-watersheds. In contrast, the parameters of form factor, elongation ratio, and the length of overland flow with the lowest scores (0.008, 0.011 and 0.023) had the least effect on the erodibility of the sub-watersheds.

Conclusions

The classification of sub-watersheds in terms of susceptibility to erosion in the superior method of VIKOR showed that 27.21 km2 (38.48%) was located in the very high susceptibility class, 1.60 km2 (2.27%) was in the high susceptibility class, 37.62 km2 (53.21%) was in the moderate susceptibility class, and 4.26 km2 (6.032%) was  in a low susceptibility class from the total area of watershed (70.707 km2). In addition, from the total study area in the CF method, 62.83 km2 (88.87%) was located in the very high susceptibility class, 6.37 km2 (4.50%) was in the high susceptibility class, and 4.75 km2 (3.36 %) was in the moderate susceptibility class.

Keywords

• Erodibility
• Soil Erosion
• Geomorphometric Parameters
• Monj Basin

20.1001.1.23221682.1397.7.2.1.7

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References

آمانی، محمد؛ نجفی نژاد، علی؛ 1393. اولویت بندی زیرحوضه ها با استفاده از آنالیز مورفومتری، فنون سنجش از دور و GIS، حوضه آبخیز لهندر، استان گلستان. پژوهشنامه مدیریت حوضه آبخیز، شماره 9، 15-1.

رحمتی، امید؛ طهماسبی پور، ناصر؛ پورقاسمی، حمیدرضا؛ 1394. اولویت‌بندی سیل‌خیزی زیرحوضه‌های آبخیز استان گلستان بر اساس آنالیز مورفومتریک و همبستگی آماری. اکوهیدرولوژی، شماره2، 151-161.

فلاح، مقدسه؛ محمدی، مازیار؛ کاویان، عطااله؛ 1394. اولویت‌بندی زیرحوضه‌ها با استفاده از آنالیز مورفومتری و تغییرات کاربری اراضی در حوضه آبخیز تالار استان مازندران. اکوهیدرولوژی، شماره3، 261-274.

Abdel-Lattif, A., & Sherief, Y., 2012. Morphometric Analysis and Flash Floods of Wadi Sudr and Wadi Wardan, Gulf of Suez, Egypt: Using Digital Elevation Model. Arab Journal of Geosciences, 5, 181-195.

Abdul Rahaman, S., Abdul Ajeez, S., Aruchamy, S., & Jegankumar, R., 2015. Prioritization of Sub Watersheds Based on Morphometric Characteristics Using Fuzzy Analytical Hierarchy Process and Geographical Information System—A Study of Kallar Watershed, Tamil Nadu. Aquatic Procedia, 4, 1322-1330.

Arabameri, A.R., Pourghasemi, H.R., & Cerda, A., 2018. Erodibility prioritization of sub-watersheds using morphometric parameters analysis and its mapping: A comparison among TOPSIS, VIKOR, SAW, and CF multi-criteria decision making models. Science of the Total Environment, 613–614, 1385–1400.

Chatterjee, S., Krishna, A.P., & Sharma, P., 2013. Geospatial assessment of soil erosion vulnerability at watershed level in some sec‌tions of the Upper Subarnarekha river basin, Jharkhand, India. Environmental Earth Sciences, 71(1), 357–74.

Dehn, M., Grtner, H., & Dikau, R., 2001. Principles of semantic modeling of landform structures. Comput. Geosci, 27 (8), 1005– 1010.

El-Santawy, M.F., 2012. A VIKOR Method for Solving Personnel Training Selection Problem. ‎International Journal of Computing Science, 1 (2), 9-12.

Evangelin Ramani, S., Selvakumar, R., Rajasimman, U.A.B., & Rajamanickam, G., 2015. Morphometric analysis of sub-watershed in parts of Western Ghats, South India using ASTER EM, Geomatics. Natural Hazards and Risk, 6, 326-341.

Evans, I.S., 1972. General Geomorphology, Derivatives of Altitude and Descriptive Statistics, In R.J. Chorley (Ed.), Spatial Analysis in Geomorphology (pp. 17-90. London: Methuen & Co. Ltd.

Farhan, Y., & Anaba, O., 2016. A Remote Sensing and GIS Approach for Prioritization of Wadi Shueib Mini-Watersheds (Central Jordan) Based on Morphometric and Soil Erosion Susceptibility Analysis. Journal of Geographic Information System, 8, 1-19.

Farhan, Y., Anbar, A., Enaba, O., & Al-Shaikh, N., 2015. Quantitative Analysis of Geomorphometric Parameters of Wadi Kerak, Jordan, Using Remote Sensing and GIS. Journal of Water Resource and Protection, 7, 456-475.

Gessesse, B., Bewket, W., & Bräuning, A., 2015. Model-based characterization and monitoring of runoff and soil erosion in response to land use/land cover changes in the Modjo watershed, Ethiopia. Land Degrad. Dev, 26, 711–724.

Horton, R., 1945. Erosional Development of Streams and Their Drainage Basins; Hydrophysical Approach to Quantitative Morphology. Geological Society of America Bulletin, 56, 275-370.

Huang, J.J., Tzeng, G.H., & Liu, H.H., 2009. A Revised VIKOR Model for Multiple Criteria ‎Decision Making - The Perspective of Regret Theory. In Cutting-Edge Research Topics on ‎Multiple Criteria Decision Making, 35, 761-768.

Iqbal, M., & Sajjad, H., 2014. Watershed Prioritization using Morphometric and Land Use/Land Cover Parameters of Dudhganga Catchment Kashmir Valley India using Spatial Technology. J Geophys Remote Sens, 3. 1-12.

Jang, T., Vellidis, G., Hyman, J.B., Brooks, E., Kurkalova, L.A., Boll, J., & Cho, J., 2013. Model for Prioritizing best management practice implementation: sediment load reduction. Environ. Manage, 51, 209–224.

Keesstra, S., Pereira, P., Novara, A., Brevik, E. C., Azorin- Molina, C., Parras-Alcantara, L., Jordan, A., & Cerdà, A., 2016. Effects of soil management techniques on soil water erosion in apricot orchards. Sci. Total Environ, 551, 357–366.

Kosmas, P., Niki, E., & Andreas, V., 2009. Mapping Geomorphological Environments, Springer.

Malik, M., Bhat, M., & Kuchay, N.A., 2011. Watershed based drainage morphometric analysis of Lidder catchment in Kashmir valley using Geographical Information System. Recent Res in Sci and Tech, 3(4), 118–260.

Miller, V., 1953. A Quantitative Geomorphic Study of Drainage Basin Characteristics in the Clinch Mountain Area, Virginia and Tennessee. Project NR 389-402, Technical Report 3, Columbia University, Department of Geology, ONR, New York.

Moore, I.D., Grayson, R.B., & Ladson, A.R., 1991. Digital terrain modelling: a review of hydrological, geomorphological and biological applications. Hydrol Process, 5(1. 3–30

Nautiyal, M.D., 1994. Morphometric analysis of drainage basin, district Dehradun, Uttar Pradesh. Indian Soc. Remote Sensing, 22(4), 252–262.

Nooka Ratnam, K., Srivastava, Y.K., Venkateshwara Rao, V., Amminedu, E., & Murthy, K.S.R., 2005. Check Dam Positioning by Prioritization of Micro-Watersheds Using SYI Model and Morphometric Analysis—Remote Sensing and GIS Perspective. Journal of the Indian Society of Remote Sensing, 33, 25-38.

Okumura, M., & Araujo, A.G., 2014. Long-term cultural stability in hunter–gatherers: a case study using traditional and geo‌metric morphometric analysis of lithic stemmed bifacial points from Southern Brazil. J Archaeol Sci, 45, 59–71.

Opricovic, S., & Tzeng, G.H., 2004. Compromise solution by MCDM methods: A comparative ‎analysis of VIKOR and TOPSIS. European Journal of Operational Research, 156 (2), 445-455.‎

Pacific Southwest Inter-Agency Committee., 1968. Report on factors affecting sediment yield in the Pacific Southwest area and selection and evaluation of measures for the reduction of erosion and sediment yield, Water Management Subcommittee, Sedimentation Task Force.

Patel, D., Dholakia, M., Naresh, N., & Srivastava, P., 2012. Water Harvesting Structure Positioning by Using Geo-Visualization Concept and Prioritization of Mini-Watersheds through Morphometric Analysis in the Lower Tapi Basin. Journal of the Indian Society of Remote Sensing, 40, 299-312.

Patel, D., Gajjar, C., & Srivastava, P., 2013. Prioritization of Malesari Mini-Watersheds through Morphometric Analysis: A Remote Sensing and GIS Perspective. Environmental Earth Sciences, 69, 2643-2656.

Pike, R.J., Evans, I.S., & Hengl, T., 2009. Geomorphometry: A Brief Guide. In T. Hengl & H.I. Reuter (Eds.), Developments in Soil Science (pp. 1-765. Elsevier.

Prosdocimi, M., Cerdà, A., & Tarolli, P., 2016. Soil water erosion on Mediterranean vineyards: A review. Catena, 141, 1–21.

PSIAC Report., 2000. Sediment assessment and evaluation study for Lake Louise and Cottonwood Lake Hand, Hyde, Faulk, and Spink Counties South Dakota, United States Department of Agriculture Natural Recourses Conservation Service South Dakota in Cooperation with South Dakota. Department of Environment and Natural Resources and Hand County Conservation District.

Schumm, S., 1956. Evolution of Drainage Systems and Slopes in Badlands at Perth Amboy, New Jersey. Geological Society of America Bulletin, 67, 597-646.

Shary, P., Sharaya, L., & Mitusov, A., 2002. Fundamental quantitative methods of landsurface analysis. Geoderma, 107, 1-32.

Singh, O., Sarangi, A., & Sharma, M., 2008. Hypsometric Integral Estimation Methods and Its Relevance on Erosion Status of North-Western Lesser Himalayan Watersheds. Water Resources Management, 22, 1545-1560.

Strahler, A., 1957. Quantitative Analysis of Watershed Geomorphology. Transactions. American Geophysical Union, 38, 913-920.

Todorovski, L., & Džeroski, S., 2006. Integrating knowledge driven and data-driven approaches to modeling. Ecol. Model, 194 (1), 3–13.

Yahya, F., & Omar, A., 2016. A Remote Sensing and GIS Approach for Prioritization of Wadi Shueib Mini-Watersheds (Central Jordan) Based on Morphometric and Soil Erosion Susceptibility Analysis. Journal of Geographic Information System, 8, 1-19.