Annotatsiya. Bugungi kunda dunyo mamlakatlari global iqlim o‘zgarishidan aziyat chekishmoqda, chunki iqlim
o‘zgarishi har bir sohaga bevosita va bilvosita ta’sir ko‘rsatmoqda. Qishloq xo‘jaligi bundan eng ko‘p aziyat chekayotgan
sohalardan biri hisoblanadi. Tuproq qishloq xo‘jaligi uchun eng asosiy tarkibiy qism hisoblanadi. Ushbu maqolada tuproq
eroziyasini modellashtirish bo‘yicha Scopus bazasida chop etilgan 30 ga yaqin maqolalar o‘rganilib, tahlil qilindi. Turli
mamlakatlarda foydalanilgan turli modellarning afzallik va kamchilik tomonlari o‘rganib chiqildi va olingan natijalar
jadval ko‘rinishida keltirildi. Modellashtirish o‘z navbatida tuproq eroziyasiga qarshi kurashish chora-tadbirlarini o‘z
vaqtida qo‘llash imkonini berishi bilan bu sohada ahamiyatli va kerakli ekanligi bir qator rivojlangan mamlakatlar
misolida o‘rganib chiqildi.
Annotatsiya. Bugungi kunda dunyo mamlakatlari global iqlim o‘zgarishidan aziyat chekishmoqda, chunki iqlim
o‘zgarishi har bir sohaga bevosita va bilvosita ta’sir ko‘rsatmoqda. Qishloq xo‘jaligi bundan eng ko‘p aziyat chekayotgan
sohalardan biri hisoblanadi. Tuproq qishloq xo‘jaligi uchun eng asosiy tarkibiy qism hisoblanadi. Ushbu maqolada tuproq
eroziyasini modellashtirish bo‘yicha Scopus bazasida chop etilgan 30 ga yaqin maqolalar o‘rganilib, tahlil qilindi. Turli
mamlakatlarda foydalanilgan turli modellarning afzallik va kamchilik tomonlari o‘rganib chiqildi va olingan natijalar
jadval ko‘rinishida keltirildi. Modellashtirish o‘z navbatida tuproq eroziyasiga qarshi kurashish chora-tadbirlarini o‘z
vaqtida qo‘llash imkonini berishi bilan bu sohada ahamiyatli va kerakli ekanligi bir qator rivojlangan mamlakatlar
misolida o‘rganib chiqildi.
Aннотация. Сегодня страны мира страдают от глобального изменения климата, потому что изменение
климата прямо и косвенно затрагивает каждую отрасль. Сельское хозяйство является одной из наиболее
пострадавших отраслей. Почва является наиболее важным компонентом для сельского хозяйства. В данной
статье было изучено и проанализировано около 30 статей, опубликованных в базе данных Scopus по модели-
рованию эрозии почв. Были изучены преимущества и недостатки различных моделей, используемых в разных
странах, и полученные результаты представлены в виде таблицы. Моделирование, в свою очередь, позволяет
своевременно применять меры по борьбе с эрозией почв, а то, что это важно и нужно в этой сфере, изучено на
примере ряда развитых стран
Annotation. Today the countries of the world are suffering from global climate change, because climate change affects
every sector directly and indirectly. Agriculture is one of the most affected sectors. Soil is the most important component for
agriculture. In this article, about 30 articles published in the Scopus database on soil erosion modeling were studied and
analyzed. The advantages and disadvantages of different models used in different countries were studied and the obtained
results were presented in the form of a table. Modeling, in turn, allows for the timely application of measures to combat soil
erosion, and the fact that it is important and necessary in this field was studied on the example of a number of developed
countries.
№ | Muallifning F.I.Sh. | Lavozimi | Tashkilot nomi |
---|---|---|---|
1 | Gafurova L.A. | biologiya fanlari doktori, professor | O'zbekiston Milliy universiteti |
2 | Juliyev M.K. | PhD doktori | “TIQXMMI” milliy tadqiqot universiteti |
3 | Xolmurodova M.D. | mustaqil izlanuvchi - magistr | O'zbekiston Milliy universiteti |
№ | Havola nomi |
---|---|
1 | 1. Shougang, Z., Na, L., and Ruishe, Q. (2014). The Application and Study of GIS in Soil Erosion Model. Advances in Sciences and Engineering, 6(2):31-34. |
2 | 2. Han, F., Ren, L., Zhang, X., and Li, Z. (2016). The WEPP Model Application in a Small Watershed in Loess Plateau. PLoS ONE, 11(3):1-11 |
3 | 3. Phai, D.D., Orange, D., Migraine, J.B., Toan, T.D., and Vinh, N.C. (2006). Applying GIS-Assisted Modelling to Predict Soil Erosion for a Small Agricultural Watershed within Sloping Lands in Northern Vietnam. International Conference on Sustainable Sloping Lands and Watershed Management, Pp. 312-328 |
4 | 4. Smith, H.J. (1999). Application of Empirical Soil Loss Models in Southern Africa: A Review. South African Journal of Plant and Soil, 16(3):158-163. |
5 | 5. Ganasri, B.P. and Ramesh, H. (2016). Assessment of Soil Erosion by RUSLE Model Using Rmote Sensing and GIS – A Case Study of Nethravathi. Basin Geoscience Frontiers, 7:953-961. |
6 | 6. Laflen, J.M. and Flanagan, D.C., (2013). The Development of U.S Soil Erosion Prediction and Modelling. International Soil and Water Conservation Research, 1(2):1-11. |
7 | 7. Anejionu, O.C.D., Nwilo, P.C., and Ebinne, E.S. (2013). Long Term Assessment and Mapping of Erosion Hotspots in South East Nigeria. TSO 3B – Remote Sensing for Land use and Planning – 6448, FIG Working Week, 2013 |
8 | 8. Meritt, W.S., Letcher, R.A., and Jakeman, A.J. (2003). A Review of Erosion and Sediment Transport Model. Environmental Modelling and Software, 18:761-799. |
9 | 9. Tesfahunegn, G.B. (2011). Soil Erosion Modelling and Soil Quality Evaluation for Catchment Management Strategies in Northern Ethiopia. Ph.D. Thesis, Rheinischen Friedrich-Wihelms University |
10 | 10. Chandramohan, T., Venkatesh, B. and Balchand, A.N. (2015). Evaluation of Three Soil Erosion Models for Small Watershed. International Conference on Water Resources, Coastal and Ocean Engineering (ICWRCOE) Aquatic Procedia, 4:1227- 1234. |
11 | 11. Jaramillo, F. (2007). Estimating and Modelling Soil Loss and Sediment Yield in the Maracas-St. Joseph River Catchment with Empirical Models (RUSLE and MUSLE) and a Physically Based Model (Erosion 3D). M.Sc. Thesis, McGill University, Montreal. |
12 | 12. Morgan, R.P.C. (2005). Soil Erosion and Conservation. Third edition. Blackwell Publishing, Malden, U.S.A. |
13 | 13. Lilly, A., Grieve, I.C., Jordan, C., Baggaley, N.J., Birnie, R.V., Futter, M.N., Higgins, A., Hough, R., Jones, M., Noland, A.J., Stutter, M.I. and Towers, W. (2009). Climate Change, Land Management and Erosion in the Organic and Organo-Mineral Soils in Scotland and Northern Ireland. Scottish Natural Heritage Commissioned Report No. 325, pp. 53-103. |
14 | 14. Moehansyah, H., Maheshwar, B.L. and Armstrong, J. (2004). Field Evaluation of elected soil Erosion Models for Catchment Management in Indonesia. Biosystems Engineering, 88(4):491–506. |
15 | 15. Renard, K.G., and Freimund, J.R. (1994). Using Monthly Precipitation to Estimate R-Factor in the Revised USLE. Journal of Hydrology, 127:287-306. |
16 | 16. Roose, E.J. (1977). Use of the Universal Soil Loss Equation to Predict Erosion in West Africa. In Soil erosion: Prediction and control. Soil Conservation Society of America, Special Publication no. 21. Ankeny, Iowa. |
17 | 17. Wischmeier, W.H. and Smith D.D. (1978). Predicting Rainfall Erosion Losses- A Guide to Conserving Planning, United States Department of Agriculture, Agriculture Handbook 537. |
18 | 18. McCool, D.K., Foster G.R., Renard, K.G., Yoder, D.C. and Weeisies, G.A. (1995). The Revised Universal Soil Loss Equation. Department of Defense/Interagency Workshop on Technologies to Address Soil Erosion on Department of Defense Lands San Antonio, TX, June 11-15, 1995 |
19 | 19. Le Roux, J. J. (2005). Soil Erosion Prediction under Changing Land Use on Mauritius. M.Sc. Thesis, University of Pretoria. |
20 | 20. Lee, G.S., and Lee, K.H. (2006). Scaling Effect for Estimating Soil Loss in the RUSLE Model using Remotely Sensed Geospatial Data in Korea. Hydrology and Earth System Sciences, 3:135-157 |
21 | 21. Elwell, H.A. (1978). Modeling soil losses in southern Africa. Journal of Agricultural Engineering Research, 23:117-127. |
22 | 22. Elwell, H. A., 1976: Natal Agricultural Research Bulletin No 7, Soil Loss Estimator for Southern Africa, Department of Agricultural Technical Services, Natal |
23 | 23. Young, R. A., Onstad, C. A., Bosch, D. D. and Anderson, W. P. (1989). AGNPS: A Nonpoint Source Pollution Model for Evaluating Agricultural Watersheds. Journal of Soil and Water Conservation, 44(2): 4522–4561 |
24 | 24. Nugroho, S.P. (2003). Application of the Agricultural Non-Point Source Pollution (AGNPS) Model for Sediment Yield and Nutrient Loss Prediction in the Dumpul Sub-watershed, Central Java, Indonesia. Erosion Prediction in Ungauged Basins: integrating Methods and Techniques (Proceedings of symposium 1 OS I1S01 held during IUGG2003 at Sapporo, July 2003). IAHS Publ. No. 279, 2003 |
25 | 25. Young, R. A., Onstad, C. A., Bosch, D. D. and Anderson, W. P. (1995). AGNPS: A Nonpoint Source Pollution Model. In: Computer Models of Watershed Hydrology, Chapter 26:1011-1020. Water Resources Publications, Colorado, USA. |
26 | 26. Natural Science and Engineering Research Laboratory (NSERL) (1995). WEPP User Summary Version 95.7, National Soil Erosion Research Laboratory Report No. 11. |
27 | 27. Pieri, L., Bitelli, M., Wu, J.Q., Dun, S., Flanagan, D.C., Pisa, P.R., Ventura, F. and Salvatorelli, F. (2006). Using the Water Erosion Prediction Project (WEPP) Model to Simulate Field-observed Runoff and Erosion in the Appenines Mountain Range, Italy. Journal of Hydrology, 336:84-97. |
28 | 28. Foster, G.R. and Meyer, L.D. (1972). A Closed Form Soil Erosion Equation for Upland Erosion. In: Shen, H.W. (Ed.), Sedimentation. Colorado State University, Ft Collins, Colorado, 12. |