پژوهشهای ژئومورفولوژی کمّی

پژوهشهای ژئومورفولوژی کمّی

برآورد میزان فرسایش وتخمین رسوب با مقایسه مدل های تجربی ( محدوده مورد مطالعه حوضه رودخانه زیمکان شهرستان دالاهو استان کرمانشاه )

نوع مقاله : مقاله پژوهشی

نویسندگان
1 استاد گروه ژئومورفولوژی، دانشگاه تبریز، ایران.
2 دانشجوی دکتری ژئومورفولوژی، دانشگاه تبریز،ایران.
3 دانشیار گروه ژئومورفولوژی،دانشگاه تبریز،ایران.
10.22034/gmpj.2023.368266.1386
چکیده
امروزه فرسایش خاک به عنوان یکی از مباحث مهم مدیریت حوضه های آبریز در سطح ملی و جهانی مطرح است. . در این پژوهش به مقایسه دو مدل EPM ,RUSLE در جهت برآورد فرسایش ورسوب پرداخته می شود، و در این راستا به بررسی عوامل چهارگانه مدل EPM شامل فرسایش حوضه ، استفاده از زمین و حساسیت خاک و سنگ به فرسایش و شیب متوسط حوضه و همچنین از مدل RUSLE برای برآورد فرسایش و رسوب مورد استفاده قرار می‌گیرد. ورودی‌های این مدل نیز شامل عامل فرسایندگی بارندگی (R)، عامل فرسایش‌پذیری خاک (K)، عامل طول شیب (L)، عامل درجه شیب زمین (S)، عامل پوشش‌گیاهی (C) و عامل حفاظت خاک (P) مورد ارزیابی قرار می گیرد. و نقشه های فرسایش خاک حاصل از دو مدل از روی نتایج مدل‌ها بدست آمده. و با توجه به نتایج مورد انتظار آزمون های آماری توسط نرم افزار SPSS و GIS، در نهایت مدل RUSLE نسبت به مدل EPM جهت برآورد میزان فرسایش و رسوب در حوضه مورد تحقیق به عنوان مدل قابل اعتماد‌تر انتخاب و مدل EPM به عنوان الگوی سایه و فرعی بعد از مدلRUSLE مشخص خواهد شد. بنابرین هدف این پژوهش معرفی مدل RUSLE در برآورد فرسایش و رسوب و در نهایت ارائه مدل بهینه و سازگار با حوضه رودخانه زیمکان که در شهرستان دالاهو استان کرمانشاه واقع شده است می باشد.
کلیدواژه‌ها

عنوان مقاله English

Estimation of erosion rate and estimation of sedimentation by comparing experimental models (Study area of Zimkan river basin, Dalaho city, Kermanshah province)

نویسندگان English

shahram roostaei 1
hedyeh shirzadi 2
seyed asadollah hejazi 3
1 University of Tabriz
2 geomorphology departmen faculty of environmental science- university of tabriz
3 geomorphology department- faculty of enviromental science and planing- university of tabriz- iran
چکیده English

Today, soil erosion is considered as one of the important issues of watershed management at the national and global level. Considering that the calculation of erosion and sediment values through hydrometric and sediment measurement stations and direct measurements in different parts of the basins is a costly and time-consuming process.Therefore, finding experimental methods to accurately estimate the amount of erosion and sedimentation of watersheds seems necessary and inevitable.Erosion is a process in which soil particles are separated from their substrate by erosive agents and transported to another place with the help of one of the transfer agents.If the particle separator is wind and refrigerator. It is called wind erosion and glacial erosion respectively.

Water erosion also occurs due to improper land management, destruction of vegetation and lack of water flow control, and causes surface runoff and soil transfer.

Methodology

Zimkan river basin is located in the north of Dalaho city and west of Kermanshah province. This basin is limited from the south and east to the Zamkan Dam basin,from the west to the Piran basin and from the north to the Posht Teng basin and the Lima river basin. The basin is located at the geographical coordinates of 46°4΄ to 46°11 ΄ east longitude and 34°35 ΄ to 34°22΄ north latitude. Among the residential areas in the basin, we can mention the villages of Ghoshchi Bashi, Asiyab Tanureh, Deh Kohene, Seyed Baqer and Reza Ali Farm. The studied basin has an area of 2324 square kilometers and an average height of 2044.42 meters.

In general, there are two methods for measuring erosion and sedimentation; Direct and indirect. Direct methods are carried out using various measuring tools and devices. In these methods, erosion and sedimentation are usually measured in stages and in different ways and their amounts are presented quantitatively.

In this research, two EPM and RUSLE models are compared in order to estimate erosion and deposition, and in this regard, the factors of the two methods are investigated.

The four factors of the EPM model include:

1. Basin erosion

2. Land use

3. Sensitivity of soil and rock to erosion

4. The average slope of the basin

And also the inputs of RUSLE model include:

1. Rainfall erosion factor (R)

2. Soil erodibility factor (K)

3. Slope length factor (L)

4. Slope factor (S)

5. Plant cover agent (C)

6. Soil protection agent (P)

These factors are evaluated. And the soil erosion maps obtained from two models are obtained from the results of the models.



Results and Discussion

In this research, EPM and RUSLE models and RS and GIS techniques were used to determine the erosion intensity and sedimentation potential of the studied basin. And according to the results of these two models, effective factors in erosion were evaluated and scored, and according to the relationship between sedimentation rate and sedimentation rate, the sedimentation potential of the basin was determined. Also, the amount of erosion and its severity were evaluated and its digital map was prepared and drawn with the help of GIS





Conclusion

According to the expected results of the statistical tests by SPSS and GIS software, finally the RUSLE model was chosen as a more reliable model than the EPM model to estimate the amount of erosion and sedimentation in the researched basin, and the EPM model was chosen as the shadow and secondary model. It will be determined after the RUSLE model. Therefore, the aim of this research is to introduce the RUSLE model in the estimation of erosion and sedimentation and finally to provide an optimal and compatible model for the Zimkan river basin, which is located in Dalaho city, Kermanshah province.







Methodology

Zimkan river basin is located in the north of Dalaho city and west of Kermanshah province. This basin is limited from the south and east to the Zamkan Dam basin,from the west to the Piran basin and from the north to the Posht Teng basin and the Lima river basin. The basin is located at the geographical coordinates of 46°4΄ to 46°11 ΄ east longitude and 34°35 ΄ to 34°22΄ north latitude. Among the residential areas in the basin, we can mention the villages of Ghoshchi Bashi, Asiyab Tanureh, Deh Kohene, Seyed Baqer and Reza Ali Farm. The studied basin has an area of 2324 square kilometers and an average height of 2044.42 meters.

In general, there are two methods for measuring erosion and sedimentation; Direct and indirect. Direct methods are carried out using various measuring tools and devices. In these methods, erosion and sedimentation are usually measured in stages and in different ways and their amounts are presented quantitatively.

In this research, two EPM and RUSLE models are compared in order to estimate erosion and deposition, and in this regard, the factors of the two methods are investigated.

The four factors of the EPM model include:

1. Basin erosion

2. Land use

3. Sensitivity of soil and rock to erosion

4. The average slope of the basin

And also the inputs of RUSLE model include:

1. Rainfall erosion factor (R)

2. Soil erodibility factor (K)

3. Slope length factor (L)

4. Slope factor (S)

5. Plant cover agent (C)

6. Soil protection agent (P)

These factors are evaluated. And the soil erosion maps obtained from two models are obtained from the results of the models.



Results and Discussion

In this research, EPM and RUSLE models and RS and GIS techniques were used to determine the erosion intensity and sedimentation potential of the studied basin. And according to the results of these two models, effective factors in erosion were evaluated and scored, and according to the relationship between sedimentation rate and sedimentation rate, the sedimentation potential of the basin was determined. Also, the amount of erosion and its severity were evaluated and its digital map was prepared and drawn with the help of GIS

کلیدواژه‌ها English

sedimentometry
RUSLR
EPM
Zimkan river basin
ابوالفتحی، داریوش، کیانی، مهرداد.1386. میزان فرسایش خاک و رسوب دهی معادل با میزان سیلاب در حوضه فارسبان با استفاده از GIS، نشریه علوم جغرافیایی، جلد 7، شماره 10، ص 157- 172.
احمدی، حسن. 1388. ژئومورفولوژی کاربردی، انتشارات دانشگاه تهران، چاپ ششم، 688.
آرخی، صالح . نیازی، یعقوب. 1389. بررسی کاربرد GIS و RS برای تخمین فرسایش خاک و بار رسوب با استفاده از مدل RUSLE (مطالعه موردی: حوضه بالادست سد ایلام).  پژوهش­های حفاظت آب و خاک (علوم کشاورزی و منابع طبیعی)، دوره 17، شماره 2، صص. 27-1.
اصغری ، صیاد. مظفری، حسن. اسفندیاری، فریبا. 1401. مدل­سازی نرخ فرسایش و رسوب رودخانه سجاسرود قبل و بعد از ساخت سد گلابر با الگوریتم­های یادگیری ماشین . مجله پژوهش های فرسایش محیطی. شماره46.ص32 از 203-172.
امیــدوار، ک . 1386 ،مقدمــه ای بــر آبخیــزداری، انتشارات دانشگاه یزد، چاپ اول.
جعفری، غلام حسن. غفوری، کژال.1399. تحلیل وضعیت فرسایش­پذیری زیرحوضه­های واحد مورفوتکتونیک زاگرس در زمینه خصوصیات موفومتری . مجله پژوهش­های فرسایش محیطی. شماره 40. ص89-74.
جعفری، محمد؛ سرمدیان، فریدون. 1382؛ مبانی خاک شناسی و رده بندی خاک، انتشارات دانشگاه تهران، 788 صفحه.
خالقی، سمیه. عباسپور، رحیم. نصرتی ، کاظم. 1399. برآورد فرسایش خاک و انتقال رسوب در بالادست حوضه آبخیز بادآور لرستان با استفاده از مدل SWAT. مجله پژوهش های ژئومورفولوژی کمی . شماره 35. 202-186.
خدابخش، سعید. محمدی، اکبر. رفیعی، بهروز . بزرگ­زاده، عیسی. 1388. مقایسه برآورد میزان فرسایش و رسوب­زایی در زیرحوضه سزار (حوضه­آبریز سد دز) با استفاده از مدل­های تجربی ای پی ام و ام پسیاک با کمک دانش فازی، فصلنامه زمین شناسی ایران، سال سوم، شماره 12، ص 51-61.
قضاوی، رضا. ولی، عباسعلی. مقامی، یاسر. عبدی، ژاله. شرفی، سیامک. 1391. مقایسه مدل­های EPM,MPSIC,PSIAC در برآورد فرسایش و رسوب با استفاده از GIS، جغرافیا وتوسعه، شماره 27.ص 126-117.
مزبانی، مهدی. رضایی مقدم، محمدحسین. حجازی، اسداله. 1400. ارزیابی خطر فرسایش خاک در کاربری­های اراضی با استفاده از معادله اصلاح شده جهانی فرسایش خاک (مطالعه موردی: حوضه آبریز سیکان). مجله جغرافیا و مخاطرات محیطی. شماره 37. بهار1400.ص63-41.
نیری، هادی. سالاری، ممند، چارداولی، ژیلا. 1400. اولویت­بندی فرسایش خطی با استفاده از شاخص­های مورفومتری و ژئومورفولوژیکی مطالعه موردی حوضه آبریز قشلاق- سنندج غرب ایران. مجله هیدروژئومورفولوژی.شماره28. ص24 از214-191.
Ahmet, K. (2010) . Estimation of C factor for soil erosion modeling using NDVI in Buyukcekmece watershed.  Ozean Journal of Applied Sciences.
Bouaziz, Moncef, Leidiy, Mathias, Gloaguen, Riechard (2011). Optimal  parameter selection for qualitaive regional erosion risk monitoring: Aremotoe sensing study of sc ethiopia, Geosctence fron tiers. 2: 237-245.
Fransen, P. J.B., G.J. Phillips and B.D. Fltey, (2001). Forest road erosion in new Zealand .Earth Surface Processes and Landforms.26:165-174.
Haan, C.T., Barfield, B.J., and Hayes, J.C ،(1994) ،Design hydrology and sedimentology for small catchments. Academic Press, San Diego, 588p.
Hyeon Sik, K.(2006). Soil Erosion modeling using RUSLE and GIS on the IMHA waretshed, South Korea. Thesis. Colorado State University.
Jones, D.S., Kowalski, D.G. and Robert, B.S.( 2008). Calculating Revised Universal Soil Loss Equation (RUSLE) Estimates on Department of Defense Lands: A Review of RUSLE Factors and U.S. Army Land Condition-Trend Analysis (LCTA) Data Gaps. Center for Ecological Management of Military Lands Department of Forest Science, Colorado State University Fort Collins, CO 80523.
Kinnell, P. I. A. (2010).  Event soil loss, runoff and the Universal Soil Loss Equation family of models: A review. Journal of Hydrology, 385, 384–397.
Kinnell, P.I.A. (2000). AGNPS-UM: applying the USLE-ithin the agricultural non point source pollution model. Environmental Modelling and Software, 15: 3. 331-341.
Lal, R .(1998).soil erosion impact on agronomic productivity and environment quality.Critical reviews in plan sciences , 17(4), 319-464.
Lin, C.Y. (1997). A study on the width and placement of vegetated buffer strips in a mudstone-distributed watershed . J , chinaSoil Water Conservation. 29: 3,. 250- 266(In Chinese with English abstract).
Mahmoodzadeh, A,( 2004). Research methods in soil erosion. University of Orumie Press. (In Persian).
Moore, I.D., andWilson, J.P. 1993. Length-slope factors for the Revised  Universal Soil Loss Equation: Simplified  method of estimation. J.Soil and Water Conservation,47: 423-428.
Morgan RPC, Nearing MA.(2011). The future role of information technology in erosion modeling. Hand Book of Erosion Modeling.
Miguel PA, Samual-Rosa R Simao Dennis Dalmolin F, Arajo Pedron J,and ora Bueno, A.(2011). The USLE model for estimating soil erosion in compex topography areas. Annals XV Brazilian Symposium on Remote Sensing (SBSR),Brasil,85:9227-9230.
Renard, K.G and V.A. Ferreira.(1993). RUSLE model description and database sensitivity. Journal of Environmental Quality, 22(3): 458–466.
Renard, K.G. and Freidmund, J.R,( 1994), Using monthly precipitation data to estimate the R-factor in the RUSLE, J. Hydro. 157: 287-306.
Shi, Z.H., Cai. 2002. Assessment of Erosion Risk with the Rusle and Gis in the Middle and Lower Reaches of Hanjiang River. 12th ISCO Conference Beijing.
Szilassi. P . Jordan, G., van Rompaey , A,. Csillag, G .(2006). Impacts of historical land use Changes on erosion and agricultural soil properties in the kali Basin at Lake Balaton, ungarv. CATENA.68:96-108.
Tang. K.L. 2004. Soil and water conservation in China Beijing.China: Science Press(in Chinse).
Tripathi, R. P., 2001. Soil Erosion and Conservation, New Age International Ltd, Polishers. 350 p.
USDA (United States Department of Agriculture), 1979, Sediment Sources, Yields, and Delivery Ratios, National Engineering Handbook, Section 3 Sedimentation.
Veihe, A., (2002), The spatial variability of erodibility and its relation to soil types: a study from northern Ghana, Geoderma, Vol. 106, PP. 101-120.
Wang, B., Zheng, F. L., Darboux, F., & Römkens, M. J. M. (2013). Soil erodibility in erosion by water: a perspective and the Chinese experience.Geomorphology, 187,1–10.
Wischmeier, W.H and Smith, D.D. (1978). Predicting rainfall erosion losses: a guide to conservation planning. Agriculture Handbook. US Department of Agriculture. Washington DC, 537: 13-27.