| تعداد نشریات | 127 |
| تعداد شمارهها | 7,118 |
| تعداد مقالات | 76,501 |
| تعداد مشاهده مقاله | 152,876,817 |
| تعداد دریافت فایل اصل مقاله | 114,987,064 |
پهنهبندی خطر فرسایش خاک و رسوبدهی در حوضه حاجی قوشان استان گلستان با مدل WaTTEM/SEDEM | ||
| تحقیقات آب و خاک ایران | ||
| دوره 56، شماره 10، دی 1404، صفحه 2691-2709 اصل مقاله (2.77 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/ijswr.2025.398094.669971 | ||
| نویسندگان | ||
| حامد ضیائی کیا1؛ حسین اسدی* 2؛ محمود عرب خدری3؛ زینب عسکریان چایجان1 | ||
| 1گروه علوم و مهندسی خاک، دانشکده کشاورزی، دانشگاه تهران، کرج، ایران | ||
| 2علوم و مهندسی خاک، دانشکده کشاورزی، داشگاه تهران، کرج، ایران | ||
| 3پژوهشکده حفاظت خاک و آبخیزداری، سازمان تحقیقات، ترویج و آموزش کشاورزی، تهران، ایران | ||
| چکیده | ||
| فرسایش خاک بهعنوان یکی از مهمترین مشکلات جهانی با ایجاد اختلال در زیستبومهای طبیعی، حیات انسان و محیط زیست را تهدید میکند. بهمنظور حفاظت و بهرهبرداری پایدار از خاک، ایجاد امنیت غذایی و سلامت محیط زیست، ارزیابی میزان فرسایش خاک و رسوبدهی ناشی از آن ضروری است. در مطالعه حاضر، ابتدا خطر فرسایش خاک حوضه حاجیقوشان با معادله جهانی هدررفت خاک تجدیدنظر شده (RUSLE) و با بهرهگیری از سیستم اطلاعات مکانی و سنجشازدور براورد شد. سپس، میزان فرسایش و رسوبدهی حوضه با مدل WaTEM/SEDEM براورد و مورد بررسی قرار گرفت. دادههای مختلف شامل مدل رقومی ارتفاعی، آمار بارندگی مربوط به ایستگاههای باراننگار، تصاویر ماهوارهای و ویژگیهای خاک بهعنوان داده موردنیاز برای براورد عاملهای RUSLE و لایههای ورودی WaTEM/SEDEM استفاده شد. متوسط خطر فرسایش خاک در حوضه 61 تن در هکتار در سال براورد شد. نتایج براورد فرسایش با WaTEM/SEDEM همبستگی بالایی با نتایج RUSLE در سطح حوضه داشت، اما دارای بیشبراوردی سیتماتیک بود. ارتباط مناسبی میان رسوبدهی براوردی با WaTEM/SEDEM با مقادیر مشاهدهای رسوبدهی سالانه مشاهده نشد. نتایج نشان داد که رسوبدهی سالانه بهشدت متأثر از رخدادهای سیلابی است که منجر به تغییرات شدیدی در سالهای مختلف میشود. مبنای براورد با مدل، فرسایندگی سالانه است که تغییرات آن بسیار کمتر از تغییرات رخدادها است. مدل WaTEM/SEDEM توانایی براورد رسوبدهی سالهایی که رخدادهای سیلابی با شدت یا فراوانی بیشتر رخ میدهد، را نداشته و دارای کمبراوردی بود. از سوی دیگر، در سالهایی که رخدادهای سیلابی چندانی رخ نمیدهد، این مدل مقدار رسوبدهی را بیشبراورد میکند. | ||
| کلیدواژهها | ||
| تولید رسوب سالانه؛ فرسایندگی باران؛ هدررفت خاک؛ Google Earth Engine؛ RUSLE | ||
| مراجع | ||
|
Abedian, S., Salmanmahiny, A. (2018). Water erosion prediction using Revised Universal Soil Loss Equation and GIS: A case study of Gorganrud Basin. Environmental Resources Research, 6(2), 103-117. Angulo-Martínez, M., Beguería, S. (2009). Estimating rainfall erosivity from daily precipitation records: A comparison among methods using data from the Ebro Basin (NE Spain). Journal of Hydrology, 379(1–2), 111-121. Arabkhedri, M. (2016). The possibility of estimation of long-term average annual erosion based on measurements of erosion from a few rainfall events. Extension and Development of Watershed Management, 3(11), 7-15. (In Persian) Arabkhedri, M. (2021). Water Erosion and Sediment Production Status in Iran: Statistical and Comparative Analyses. Strategic Research Journal of Agricultural Sciences and Natural Resources, 6(2), 139-156 (In Persian). doi:10.22047/srjasnr.2021.140574. Arekhi, S., & Mohammad-Ghasemi, M. M. (2022). Evaluating Rain Erosivity Indices Using Geostatistical Techniques in GIS Environment (Case Study: Golestan Province). Geography and Territorial Spatial Arrangement, 12(42), 101-128. (In Persian) Asadi, H. (2022). A Critical Report on Several Decades’ Activities in the Universities, Research Institutes and Executive Organizations in the Field of Soil Erosion and Conservation in Iran. Iranian Journal of Soil and Water Research, 53(2), 411-433 (In Persian). doi:10.22059/ijswr.2022.337663.669190. Asadi, H., Honarmand, M., Vazifedoust, M., Moussavi, A. (2017). Assessment of changes in soil erosion risk using RUSLE in Navrood Watershed, Iran. Journal of Agricultural Science and Technology, 19(1), 231-244. Avizhgan, A., Asadi, H., Arabkhedri, M., Noor, H., Nazari Samani, A. A. (2025). The challenges of measuring and estimating the soil erodibility factor (K) of the (R)USLE model in rangelands of arid regions. Iranian Journal of Soil and Water Research, 56(2), 351-371 (In Persian). doi: 10.22059/ijswr.2024.386195.669845. Bezak, N., Borrelli, P., Mikoš, M., Auflič, M. J., Panagos, P. (2024). Towards multi-model soil erosion modelling: An evaluation of the erosion potential method (EPM) for global soil erosion assessments. Catena, 234, 107596. Chow V.T., Maidment D.R., Mays, L.W. (1988). In: Applied Hydrology Chapter 7, Mc Graw Hill Book Company. ISBN 0-07-010810-2. Didi, S., El Boute, S., Hilali, A., Benmoussa, B., Hili, A., Ouakhir, H., Bouhachm, S., Najine, A., Wafik, A., Ennaji, W., Hajaj, S. (2025). Modeling soil degradation in a semi-arid region using GIS techniques and the RUSLE model: case study of the Hassan Addakhil Dam watershed (Ziz Basin, Morocco). J. Sediment. Environ. doi:10.1007/s43217-025-00241-w. Didoné, E. J., Minella, J. P. G., Evrard, O. (2017). Measuring and modelling soil erosion and sediment yields in a large cultivated catchment under no-till of Southern Brazil. Soil and Tillage Research. 174, 24-33. Ebrahimzadeh, S. , Argany, M. and Mirdar Harijani, F. (2024). Modeling the rate of soil erosion and sediment yield using the RUSLE / SDR model in the Dizgaran watershed. Journal of Natural Environmental Hazards, 13(39), 1-24 (In Persian). doi:10.22111/jneh.2024.39109.1823 Fallah, M., Bahrami, H., Asadi, H. (2023). Assessment of soil erosion risk using RUSLE model, SATEEC system, remote sensing, and GIS techniques: a case study of Navroud watershed. Environmental Earth Sciences, 82(17), 398. Getu, L. A., Nagy, A., Addis, H. K. (2022). Soil loss estimation and severity mapping using the RUSLE model and GIS in Megech watershed, Ethiopia. Environmental Challenges. 8, 100560. Ghafari-Gosheh, H. (2017). Evaluation of the effects of erosion on soil and water quality, and determining soil erosion tolerance in Hajighoushan Watershed, Golestan Province. Ph.D. Thesis, Soil Science Department, University of Tehran. (In Persian) Ghimire, S., Singh, U., Panthi, K. K., Bhattarai, P. K. (2024). Spatial sediment erosion and yield using RUSLE coupled with distributed SDR model. Water, 16(24), 3549. Gholami, L., Khaledi Darvishan, A., Derakhti, S., Kiani Harchegani, M. (2024). Effects Evaluation of land use change on soil erosion using the RUSLE model in the Chardavol watershed, Ilam. Iranian Journal of Watershed Management Science and Engineering, 18(65), 1-14 (In Persian). Golosov, V. N., Shamshurina, E. N., Kolos, G. I., Petel’ko, A. I., Zhidkin, A. P. (2024). Spatiotemporal Changes in the Erosion and Deposition Processes in a Small Catchment in the North of the Central Russian Upland. Eurasian Soil Science. 57(5), 838-852. Haregeweyn, N., Poesen, J., Verstraeten, G., Govers, G., de Vente, J., Nyssen, J., Moeyersons, J. (2013). Assessing the performance of a spatially distributed soil erosion and sediment delivery model (WATEM/SEDEM) in Northern Ethiopia. Land Degradation & Development. 24 (2), 188-204. Irvem, A., Topaloglu, F., Uygur, V. (2007). Estimating spatial distribution of soil loss over Seyhan river basin in Turkey. Journal of Hydrology. 336, 30–37. Jansson, M. (1996). Estimating a sediment rating curve of the Reventazón river at Palomo using logged mean loads within discharge classes, Journal of Hydrology, 183(3–4), 227-241. Jokar Sarhangi, E., & Dehghan Chachkami, M. (2022). Efficiency Evaluation of RUSLE and ICONA models in erosion zoning of Baladeh watershed, Mazandaran province. Journal of Natural Environmental Hazards, 11(34), 159-178. (In Persian) Kalambukattu, J and Kumar, S. (2017). Modelling soil erosion risk in a mountainous watershed of Mid-Himalaya by integrating RUSLE model with GIS. Eurasian Journal of Soil Science, 6(2), 92-105. Khaleghpanah, N., M. Shorafa, H. Asadi, M. Gorji. (2016). Modeling soil loss at plot scale with EUROSEM and RUSLE2 at stony soils of Khamesan Watershed, Iran. Catena, 147: 773–788. Khalili, A. (2005). Climate of Iran. In M. H. Banaei, M. J. Malakouti, M. B. Bourdi, & A. Momeni (Eds.), Soils of Iran: New developments in identification, management and exploitation. Sana Publication. (In Persian) Khormai, H., Kiani, F., Khormali, F. (2017). Evaluation of Soil Erodibility Factor (k) forLoess Derived Landforms of Kechik Watershedin Golestan Province. Water and Soil, 30(6), 2078-2086 (In Persian). doi:10.22067/jsw.v30i6.57027. Li, M., Liu, X., Ding, J., Zhang, W., Wang, R., Luo, X., Xing, L., Wang, C., Zhao, H. (2024) Analysis of soil erosion dynamics and its driving factors in the Qilian Mountains of Qingdong. Soil Research 62, SR24078. doi:10.1071/SR24078 Lufafa, A., Tenywa, M.M., Isabirye, M., Majaliwa, M.J.G., Woomer, P.L. (2003). Prediction of soil erosion in a Lake Victoria basin catchment using a GISbased universal soil loss model. Agricultural Systems. 76, 883-894. Maltsev, K., Ivanov, M. (2022). Comparative Study on Sediment Delivery from Two Small Catchments within the Lena River, Siberia. Water, 14(19), 3055. Mehri, A., Salmanmahiny, A., Mikaeili Tabrizi, A., Mirkarimi, H., Sadoddin, A. (2018). Investigation of likely effects of land use planning on reduction of soil erosion rate in river basins: Case study of the Gharesoo River Basin, Catena. 167, 116-129. Mhaske, S. N., Pathak, K., Dash, S. S., Nayak, D. B. (2021). Assessment and management of soil erosion in the hilltop mining dominated catchment using GIS integrated RUSLE model. Journal of Environmental Management. 294, 112987. Milliman, J.D., & Syvitski, J.P.M. (1992). Geomorphic/tectonic control of sediment discharge to the ocean: The importance of small mountainous rivers. The Journal of Geology, 100(5), 525-544. Moor, I.D., Wilson, J.P. (1992). Length-slope factors for revised universal soil loss EQ: simplified method of estimation. Journal of Water and Soil Conservation. 47, 423-428. Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885–900. https://doi.org/10.13031/2013.23153 Nearing, M. A. (1998). Why soil erosion models over-predict small soil losses and under-predict large soil losses. Catena. 32(1), 15-22. Notebaert, B., Vaes, B., Verstraeten, G., Govers, G. (2006). WaTEM/SEDEM version 2006 Manual. KU Leuven, Physical and Regional Geography Research Group. 29 P. Quinton, J. N. and Fiener, P. (2024). Soil erosion on arable land: An unresolved global environmental threat. Progress in Physical Geography. Earth and Environment. 48(1), 136-161. Rapp, J. F. (1994). Error assessment of the Revised Universal Soil Loss Equation using natural runoff plot data. Doctoral dissertation, The University of Arizona. Renard, K., Foster, G., Weesies, G., McCool, D., Yoder, D. (1997). Predicting Soil Erosion by Water: a Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE). US Government Printing Office, Washington. DC. Risse, L. M., Nearing, M. A., Laflen, J. M. (1993). Assessment of error in the universal soil loss equation using natural runoff plot data. In American Society of Agricultural Engineers. Meeting (USA). Romkens, M., Prasad, J., Poesen, J. (1987). Soil erodibility and properties. In: Transactions of the XIII Congress of International Society of Soil Science. 57, 825–833. Scheper, S., Liu, C., Xin, Z., Ran, L., Alewell, C. (2024). Soil loss and sedimentation rates in a subcatchment of the Yellow river Basin in China. International Soil and Water Conservation Research. 12(3), 534-547. Thapa, P. (2020). Spatial estimation of soil erosion using RUSLE modeling: a case study of Dolakha district, Nepal. Environmental Systems Research. 9(1), 1-10. Vaezi, A.R., Sadeghi S.H.R., Bahrami, H.A., Mahdian M.H. (2008). Modeling the USLE K-factor for calcareous soils in northwestern Iran. Geomorphology. 97, 414-423. Van der Knijff, Jm, Jones. R.J. AI and Montanarella. L. (1999). Soil erosion risk assessment in Italy. EUR19022 EN. Office for Official Publications of the European Communities, Luxembourg. 54 p. Van Rompaey, A.J.J, Verstraeten, G., Van Oost, K., Govers, G., Poesen, J. (2001). Modeling mean annual Verstraeten, G., Van Oost, K., Van Rompaey, A., Poesen, J., Govers, G. (2002). Evaluating an integrated approach to catchment management to reduce soil loss and sediment pollution through modelling. Soil Use Manag. 18, 386–394. Wang, G., Gertner, G., Fang, S., Anderson, AB. (2003). Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogrammetric Engineering and Remote Sensing. 69, 889-898. Zhang, X. C., Nearing, M. A., Risse, L. M., McGregor, K. C. (1996). Evaluation of WEPP runoff and soil loss predictions using natural runoff plot data. Transactions of the ASAE. 39(3), 855-863. | ||
|
آمار تعداد مشاهده مقاله: 72 تعداد دریافت فایل اصل مقاله: 66 |
||