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بررسی اثر تغییرات کاربری اراضی بر فرسایش خاک و تولید رسوب در حوضه رامهرمز با استفاده از طبقهبندی شیءگرا و مدل RUSLE | ||
تحقیقات آب و خاک ایران | ||
دوره 52، شماره 3، خرداد 1400، صفحه 635-649 اصل مقاله (1.69 M) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22059/ijswr.2021.316628.668863 | ||
نویسندگان | ||
سعید امانپور1؛ محمد عبیات* 2؛ محمود عبیات3؛ ماجده عبیات1 | ||
1گروه جغرافیا و برنامه ریزی شهری، دانشکده ادبیات و علوم انسانی، دانشگاه شهید چمران اهواز، اهواز، ایران. | ||
2گروه علوم محیط زیست، دانشگاه آزاد اسلامی واحد علوم و تحقیقات خوزستان (تهران)، اهواز، ایران. | ||
3گروه جغرافیا و برنامه ریزی روستایی، دانشکده ادبیات و علوم انسانی، دانشگاه شهید چمران اهواز، اهواز، ایران. | ||
چکیده | ||
فرسایش خاک یک مشکل جهانی است که منابع آب و خاک را تهدید میکند و تغییرات کاربری اراضی یکی از عوامل مهم در فرسایش خاک میباشد. هدف این پژوهش ارزیابی اثر تغییرات کاربری بر فرسایش خاک و تولید رسوب در حوضه رامهرمز در استان خوزستان میباشد. برای این کار از تصاویر ETM+ (2002) و OLI (2019) ماهواره لندست استفاده شد. ابتدا تصاویر ماهوارهای با الگوریتم ماشین بردار پشتیبان (SVM) روش شیءگرا طبقهبندی شده و تغییرات کاربری در سالهای 2019-2002 بررسی گردید. سپس فرسایش خاک با استفاده از مدل RUSLE محاسبه شده و میزان بار رسوب در منطقه برآورد گردید. نتایج پژوهش نشان داد که مناطق مسکونی، اراضی بایر و زراعت دیم به ترتیب به میزان 86/3520، 72/7041 و 29/5281 هکتار افزایش مساحت داشته و پهنههای آبی، مراتع و زراعت آبی به ترتیب 43/1760، 02/12323 و 43/1760 هکتار از مساحت خود را از دست دادهاند. نتیجه تغییر این مساحتها کاهش پوشش طبیعی خاک و افزایش فرسایش در منطقه بوده است. با درنظرگرفتن حد خاکسازی حدود یک تن در هکتار در سال ملاحظه گردید که برای سال 2002 حدود 24/43 درصد و برای سال 2019 حدود 99/64 درصد از مساحت منطقه مقدار فرسایش از حد قابل قبول بیشتر بوده است. نتایج محاسبات روشهای نسبت تحویل رسوب نیز نشان داد میزان نسبت تحویل رسوب بین 07/0 تا 28/0 و حداکثر بار رسوب بین 18/0 تا 63/0 تن در هکتار در سال متغیر است. بنابراین نتایج این پژوهش، لزوم پرداختن به مسأله فرسایش خاک در منطقه و ارائه راهکارهای مدیریتی را روشن میکند. | ||
کلیدواژهها | ||
کاربری اراضی؛ فرسایش؛ طبقهبندی شیءگرا؛ RUSLE؛ رامهرمز | ||
عنوان مقاله [English] | ||
Investigation of the Effect of Land Use Change on Soil Erosion and Sediment Production in Ramhormoz Basin Using Object-Oriented Classification and RUSLE Model | ||
نویسندگان [English] | ||
Saeed Amanpour1؛ Mohammad Abiyat2؛ mahmud abiyat3؛ Majedeh Abiyat1 | ||
1Department of Geography and Urban Planning, Faculty of Literature and Humanities, Shahid Chamran University of Ahvaz, Ahvaz, Iran. | ||
2Department of Environmental Sciences, Islamic Azad University, Khuzestan Science and Research Branch (Tehran), Ahvaz, Iran. | ||
3Department of Geography and Rural Planning, Faculty of Literature and Humanities, Shahid Chamran University of Ahvaz, Ahvaz, Iran. | ||
چکیده [English] | ||
Soil erosion is a global problem that threatens water and soil resources and land use change is one of the important factors in soil erosion. The purpose of this study is to evaluate the effect of land use change on soil erosion and sediment production in Ramhormoz basin in Khuzestan province. Landsat ETM+ (2002) and OLI (2019) images were used for this purpose. First, satellite images were classified using the Object Oriented Method (SVM) algorithm and the land use changes were studied during the years 2019-2002. Then the amount of soil erosion was calculated using the RUSLE model and the amount of sediment load in the area was estimated. The results showed that the residential areas, barren and rainfed cultivated lands increased by 3520.86, 7041.72 and 5281.29 hectares, respectively, and water bodies, pastures and irrigated lands have lost 1760, 43.02, 02.02. 12323 and 1760/43 hectars of their lands, respectively. The result of these changes in areas has been a decrease in natural soil cover and an increase in erosion in the region. Considering the landing limit of about one ton per hectare per year, it was found that the amount of erosion have been more than the acceptable level in 43.24 and 64.99% of the area in years 2002 and 2019, respectively. The results of calculations of sediment delivery ratio methods also showed that the rate of sediment delivery ratio varies from 0.07 to 0.28 and the maximum sediment load varies from 0.18 to 0.63 tons per hectare per year. Therefore, the results of this study clarify the need to address the issue of soil erosion in the region and to provide management solutions. | ||
کلیدواژهها [English] | ||
Land Use, Erosion, Object-Oriented Classification, RUSLE, Ramhormoz | ||
مراجع | ||
Anderson, G.L., Hanson, J.D., and Hass R.H. (1993). Evaluating landsat thematic mapper derived vegetation indices for estimating above-ground biomass on semiarid rangelands. Remote Sensing of the Environment. 45(2): 165-175. Asghari saraskanroud, s., Aghayary, L., and Pirouzi, E. (2018). Study of land use change and its effect on erosion in Nir city using GIS and RS (Case study: Nir county). RS and GIS for Natural Resources. 8(4): 49-62. (In Farsi). Ayoubi, Sh., Khormali, F., and Shataee, Sh. (2008). Optimal resolution investigation of digital elevation models by goestatistcal technique to compute topographic factor (LS) for RUSLE equation in Talesholia district, Golestan province. Journal of Research and construction in natural resources. 20(77): 122-129. (In Farsi). Azarakhshi, M., Mosaedi, A., Bashiri, M., and Ojaghlo Shahabi, R. (2017). The Effects of precipitation and land use changes on sediment yield (Case study: Senobar watershed- Torbat Heydarieh). Iranian Journal of Watershed Management Science and Engineering. 11(37): 25-33. (In Farsi). Brink, A.B., Bodart, C., Brodsky, L., Defourney, P., Ernst, C., Donney, F., Lupi, A., and Tuckova, K. (2013). Anthropogenic Pressure in East Africa-Monitoring 20 Years of Land Cover Changes by Means of Medium Resolution Satellite Data. International Journal of Applied Earth Observation and Geoinformation. 28(1): 60-69. Brown, L.C., and Foster, G.R. (1987). Storm erosivity using idealized intensity distributions. Transactions of the ASAE. 30(2): 379-0386. Chaafjiri, F.S., Karimzadegan, H., Hashemi, S.A., and Abed, M.H. (2013). Study of Land Use Changes in AmirKelayeh Wetland using Remote Sensing Techniques (From 1981 to 2011), Bull. Env, Pharmacol, Life Sci. 2(9): 91-96. Da Silva, V.P.R., Silva M.T., and De Souza, E.P. (2016). Influence of land use change on sediment yield: A case study of the submiddle of the Sao Francisco River Basin. Soil and Water Engineering. 36 (6): 1005-1015. Esfandiari, M., Moeini, A., and Moqadasi, R. (2014). Effect of land use and vegetation on erosion forms and sediment production (Case Study: Watershed Vers Qazvin province). Journal of Territory (sarzamin). 11(42): 51-62. (In Farsi). Esmaeilpour, F., Saraei, M.H., Rezaei, M.R., and Esmaeilpour, N. (2019). Prediction of Land Use Change and Determination of Urban Growth Patterns Using Markov Chain Model and Multi-Chip Satellite Images: A Case Study of Arak City. Journal of Geographical Exploration of Desert Areas. 7(1): 113-147. (In Farsi). Feizizadeh, B. (2017). Modeling the Trends of the Land Use/Cover Change and Its Impacts on the Erosion System of the Allavian Dam Based on the Remote Sensing and GIS Techniques. Journal of Hydrogeomorphology. 3(11): 21-38. (In Farsi). Foster, G., and Wischmeier, W. (1974). Evaluating irregular slopes for soil loss prediction, Transactions of the ASAE. 17(2): 305-0309 Gross, J., Nemani, R., Turner, W., and Melton, F. (2006). Remote sensing for the national parks. Park Science. 24(1): 30-36. Haregeweyn, N., Tsunekawa, A., Nyssen, J., Poesen, J., Tsubo, M., Tsegaye Meshesha, D., Schütt, B., Adgo, E., and Tegegne, F. (2015). Soil erosion and conservation in Ethiopia: A review. Progress in Physical Geography. 39(6): 750-774 Kazeminia, A. (2018). Application of Remote Sensing and GIS in the Investigating Vegetation Coverage. Journal of Surveying Engineering and Spatial Information. 9(1): 75-85. (In Farsi). Khezri, M., and Solaiman, K. (2017). Application of satellite images to prepare land use map of Ghezel Ozan watershed using fusion technique and object-oriented processing. Journal of Application of GIS and Remote Sensing in Planning. 8(3): 13-21. (In Farsi). Lillesand, T., Kiefer, R.W., and Chipman, J. (2015). Remote Sensing and Image Interpretation. John Wiley and Sons, 736 p. Jae Kyoung, L., Sagong, M., Engel, B., Tang, Z., Choi, J., and Kim, K. S. (2005). GIS-based Sedimen Assessment Tool. Sciencedirect. Catena. 64: 61-80. Lu, D., Li, G., Moran, E., Freitas, C., Dutra, L., and Sant’Anna, S. (2012). A Comparison of Maximum Likelihood Classifier and Object-Based Method Based on Multiple Sensor Datasets for Landuse/Cover Classification in the Brazilian Amazon. Proceedings of 4th Geographic Object-Based Image Analysis (GEOBIA), Rio de Janeiro. Brazil: 7-9. Mohammadi, M., Fallah, M., Kavian, A., Gholami, L., and Omidvar, E. (2017). The Application of RUSLE Model in Spatial DistributionDetermination of Soil loss Hazard. Journal of Echo Hydrology. 3(4): 645-658. (In Farsi). Mohammadi, S., Karimzadeh, H.R., and Habashi, K. (2018). Assessment Soil Erosion and Deposition in the Menderjan Watershed Using USPED and RUSLE Models in the Environment of Geographical Information System (GIS). Desert Ecosystem Engineering Journal. 6(17): 43-56. (In Farsi). Mohammadnejad, V., Asghari, S., and emam, H. (2019). Investigation Land use change with Use of a Pixel-based method and Object-Oriented Method and Analysis of the Effect of Land Use Change on Soil Erosion (case Study of Maragheh County). Quantitative Geomorphological research. 8(1): 160-178. (In Farsi). Moore, I.D., and Burch, G.J. (1986). Physical basis of the length-slope factor in the Universal Soil Loss Equation, Soil Science Society of America Journal. 50(5): 1294-1298. Mousavi, H., Ranjbar, A., and Haseli, M. (2016). Monitoring and Trending of LandUse Changes in Abarkooh Basin using Satellite Images (1976-2014). Journal of Geographical Data (SEPEHR). 25(97): 129-146. (In Farsi). Nalina, P., Meenambal, T., Sathyanarayan, S.R. (2014) .Land use land coer dynamics of nilgiris district, India infered from satelliti imageries American Journal of Applied Sciences. 3(11): 455-461. Martínez-Murillo, M.J.F., Lopez Vicente MPoesen, J., and Ruiz Sinoga, J.D. (2011). Modelling the effects of land use changes on runoff and soil Eerosion in two Mediterranean catchments with active gullies (South of Spain). Landform Analysis. 17(1): 99-104 Niknahad Gharmakher, H., and Maramaei, M. (2012). Effects of land use changes on soil properties (Case Study: the Kechik catchment). Journal of Soil Management and Sustainable. 1(2): 81-96. (In Farsi). Pradhan, B., Chaudhari, A., Adinarayana, J., and Buchroithner, M.F. (2012). Soil erosion assessment and its correlation with landslide events using remote sensing data and GIS: a case study at Penang Island, Malaysia. Environmental monitoring and assessment. 184(2): 715-727. Roostaei, S., Mokhtari, D., Valizadeh Kamran, K., and Khodaei Geshlag, L. (2019). Comparison of Pixel-based Algorithm (maximum liklihood) and Object-based Method (Support Vector Machine) in Classification of Land Use (Ahar-Varzeghan Area). Quantitative Geomorphological research. 8(1): 118-129. (In Farsi). Salmani, S., Ebrahimy, H., Mohammadzade, K., and Valizadeh Kamran, K. (2019). Evaluating efficiency of object-based classification techniques used to extract land use from IKONOS satellite imageries. Journal of Geographical Data (SEPEHR). 28(111): 205-215. (In Farsi). Santos, J.C.N., Andrade, E.M., Medeiros, P.H.A., and Joao, M. (2017). Land use impact on soil erosion at different scales in the Brazilian semi-arid. Revista Ciencia Agronomica. 48(2): 251-260 Singh, S., Bhardwaj, A., and Verma, V. (2020). Remote sensing and GIS based analysis of temporal land use/land cover and water quality changes in Harike wetland ecosystem, Punjab, India. Journal of Environmental Management. 262: 11035 Sharma, A., Tiwari, K.N., Bhadoria, P. (2011). Effect of land use land cover change on soil erosion potential in an agricultural watershed. Environmental Monitoring and Assessment. 173(1-4): 789-801. Soffianian, A.R., and Khodakarami, L. (2011). Land Use Mapping Using Fuzzy Classification: Case Study in Three Catchment Areas in Hamedan Province. Journal of Town and Country Planning. 3(4): 95-114. (In Farsi). Taherparvar, M., Pirmoradian, N., and Vazifedoust, M. (2017).Comparison of gap filling methods in Landsat 7 ETM+ images to estimate crop coefficient. Iranian journal of soil and water research. 47(4): 665-676. (In Farsi). Vali, A.A., Mousavi, H., and Abbasi, H. (2019).Analysis and evaluation of landuse changes trend in Mobarakeh in order to achieve the sustainable development. Journal of Urban Social Geography. 6(2): 73-86. (In Farsi). Van der Knijff, J.M., Jones, R.J.A., and Montanarella, L. (2000). Soil Erosion Risk Assessment in Europe. European Soil Bureau. Wischmeier, W.H., and Smith, D.D. (1978). Predicting rainfall erosion losses: a guide to conservation planning. Department of Agriculture. Science and Education Administration. No. 537. Yarahmadi, J., Rostamizad, Gh. and Saee, H. (2020). Detection of changes in forest cover by object-oriented method using satellite images in IlgenehChay watershed of Arasbaran forest. Protection and exploitation of Hyrcanian forests. 1(2): 59-70. (In Farsi). Zewdu, S., Suryabhagavan, K., and Balakrishnan, M. (2016). Land-use/land-cover dynamics in Sego Irrigation Farm, southern Ethiopia: A comparison of temporal soil salinization using geospatial tools. Journal of the Saudi Society of Agricultural Sciences. 15(1): 91-97.
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