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Annotatsiya. Qishloq xo‘jaligi va tabiiy muhitga tuproq eroziyasi tahdidi bugungi kunning eng jiddiy ekologik muammolaridan biridir. Katta global ekologik xavf — tuproq eroziyasi zamonaviy odamlarning yashash imkoni va keng ma’noda ijtimoiy-iqtisodiy rivojlanishni cheklaydi. Tuproq eroziyasini inventarizatsiya qilish va eroziya xavfini baholash vositasi sifatida geografik axborot tizimlari (GAT) texnologiyasi katta salohiyatga ega. Ushbu maqolada Ugom-Chotqol davlat milliy tabiat bog’i hududi uchun RUSLE modeliga kiritiladigan parametrlarni GAT texnologiyasi yordamida aniqlanganligi ko’rsatib beriladi. Qishloq xo’jaligi sohasida zamonaviy texnologiyalarni qo’llash har taraflama qulay, chunke bunda olib borilayotgan ilmiy ishning aniqliligi va ishonchliligi ortadi. Bundan tashqari texnologiyalarni qo’llash orqali biz vaqt va mablag’ni tejashimiz mumkin.

  • Internet ҳавола
  • DOI
  • UzSCI тизимида яратилган сана 22-01-2025
  • Ўқишлар сони 43
  • Нашр санаси 26-07-2023
  • Мақола тилиO'zbek
  • Саҳифалар сони71-75
Ўзбек

Annotatsiya. Qishloq xo‘jaligi va tabiiy muhitga tuproq eroziyasi tahdidi bugungi kunning eng jiddiy ekologik muammolaridan biridir. Katta global ekologik xavf — tuproq eroziyasi zamonaviy odamlarning yashash imkoni va keng ma’noda ijtimoiy-iqtisodiy rivojlanishni cheklaydi. Tuproq eroziyasini inventarizatsiya qilish va eroziya xavfini baholash vositasi sifatida geografik axborot tizimlari (GAT) texnologiyasi katta salohiyatga ega. Ushbu maqolada Ugom-Chotqol davlat milliy tabiat bog’i hududi uchun RUSLE modeliga kiritiladigan parametrlarni GAT texnologiyasi yordamida aniqlanganligi ko’rsatib beriladi. Qishloq xo’jaligi sohasida zamonaviy texnologiyalarni qo’llash har taraflama qulay, chunke bunda olib borilayotgan ilmiy ishning aniqliligi va ishonchliligi ortadi. Bundan tashqari texnologiyalarni qo’llash orqali biz vaqt va mablag’ni tejashimiz mumkin.

Русский

Aннотация. Угроза эрозии почв сельскому хозяйству и природной среде является одной из самых серьезных экологических проблем современности. Основная глобальная экологическая угроза - эрозия почвы - ограничивает выживание современного человека и ограничивает социально-экономическое развитие в широком смысле. Технология географических информационных систем (ГИС) имеет большой потенциал в качестве инструмента для инвентаризации почвенной эрозии и оценки риска эрозии. В данной статье показано, что параметры, входящие в модель RUSLE для территории Угам-Чаткальского национального парка, были определены с использованием технологии ГИС-технологий. Использование современных технологий в области сельского хозяйства удобно для всех, так как повышает точность и достоверность проводимой научной работы. Кроме того, мы можем сэкономить время и деньги, используя технологии

English

Abstract. The threat of soil erosion to agriculture and the natural environment is one of the most serious environmental problems of today. A major global environmental threat - soil erosion - limits the survival of modern people and limits socio-economic development in a broad sense. Geographic Information Systems (GIS) technology has great potential as a tool for soil erosion inventory and erosion risk assessment. In this article, it is shown that the parameters included in the RUSLE model for the territory of the Ugom-Chotkal National Park were determined using GAT technology. The use of modern technologies in the field of agriculture is convenient for everyone, as it increases the accuracy and reliability of the scientific work being conducted. In addition, we can save time and money by using technolog

№ Муаллифнинг исми Лавозими Ташкилот номи
1 Juliyev M.K. tabiiy fanlar PhD doktori, dotsent, doktorant, “TIQXXMI” Milliy tadqiqot universiteti Toshkent shahridagi Turin politexnika universiteti
2 Xolmurodova M.D. tayanch doktorant “TIQXXMI” Milliy tadqiqot universitet
3 Gafurova L.A. biologiya fanlari doktori, professor O‘zbekiston Milliy universitet
4 Djalilova G.T. biologiya fanlari doktori, professor O‘zbekiston Milliy universiteti.
№ Ҳавола номи
1 1. A. El Jazouli, A. Barakat, A. Ghafiri, S. El Moutaki, A. Ettaqy, and R. Khellouk, “Soil erosion modeled with USLE, GIS, and remote sensing: a case study of Ikkour watershed in Middle Atlas (Morocco),” Geoscience Letters, vol. 4, no. 1, p. 25, Nov. 2017, doi: 10.1186/s40562-017-0091-6.
2 2. R. K. Jaiswal, N. C. Ghosh, R. V. Galkate, and T. Thomas, “Multi Criteria Decision Analysis (MCDA) for Watershed Prioritization,” Aquatic Procedia, vol. 4, pp. 1553–1560, Jan. 2015, doi: 10.1016/j.aqpro.2015.02.201
3 3. M. Dotterweich, “High-resolution reconstruction of a 1300 year old gully system in northern Bavaria, Germany: a basis for modelling long-term human-induced landscape evolution,” Holocene, 2005, Accessed: Dec. 31, 2022. Online.. Available: https://doi.org/10.1191/0959683605hl873ra
4 4. H. J. Smith, “Application of Empirical Soil Loss Models in southern Africa: a review,” South African Journal of Plant and Soil, vol. 16, no. 3, pp. 158–163, Jan. 1999, doi: 10.1080/02571862.1999.10635003.
5 5. J. M. Laflen and D. C. Flanagan, “The development of U. S. soil erosion prediction and modeling,” International Soil and Water Conservation Research, vol. 1, no. 2, pp. 1–11, Sep. 2013, doi: 10.1016/S2095-6339(15)30034-4.
6 6. W. S. Merritt, R. A. Letcher, and A. J. Jakeman, “A review of erosion and sediment transport models,” Environmental Modelling & Software, vol. 18, no. 8, pp. 761–799, Oct. 2003, doi: 10.1016/S1364-8152(03)00078-1
7 7. MIR Corporation. New 2016 UNESCO Sites: Our 3 Picks for Sites in Uzbekistan and Iran. Retrieved from https://www. mircorp.com/unesco-new-2016-uzbekistan-iran/2016.
8 8. JULIEV M., PULATOV A., HUBL J. Natural hazards in mountain regions of Uzbekistan: A review of mass movement processes in Tashkent province. International Journal of Scientific & Engineering Research, 8 (2), 1102, 2017.
9 rocesses in Tashkent province. International Journal of Scientific & Engineering Research, 8 (2), 1102, 2017. 9. Chuenchum, P., Xu, M., & Tang, W. (2020). Predicted trends of soil erosion and sediment yield from future land use and climate change scenarios in the Lancang–Mekong river by using the modified RUSLE model. International Soil and Water Conservation Research, 8(3), 213–227. https://doi.org/10.1016/j.iswcr.2020.06.006.
10 10. Kayet, N., Pathak, K., Chakrabarty, A., & Sahoo, S. (2018). Evaluation of soil loss estimation using the RUSLE model and SCS-CN method in hillslope mining areas. International Soil and Water Conservation Research, 6(1), 31–42. https:// doi. org/10.1016/j.iswcr.2017.11.002
11 11. Renard K. G., Freimund J. R. Using monthly precipitation data to estimate the R-factor in the revised USLE // Journal of hydrology. ‒ 1994. ‒ T. 157, № 1-4. ‒ P. 287-306.
12 12. Girmay, G., Moges, A., & Muluneh, A. (2020). Estimation of soil loss rate using the USLE model for Agewmariayam watershed, northern Ethiopia. Agriculture & Food Security, 9(1), 1–12. https://doi.org/10.1186/s40066-020-00262-w
13 13. Ayenew, B., Taddesse, A. M., Kibret, K., & Melese, A. (2018). Chemical forms of phosphorous and physicochemical properties of acid soils of Cheha and Dinsho districts, southern highlands of Ethiopia. Environmental Systems Research, 7(1), 1–15. https://doi.org/10.1186/s40068-018-0118-
14 4. Roose, E. 1996, Land Husbandry -Components and strategy. 70 FAO Soils Bulletin, Food & Agriculture Organization of the UN, Rome, Italy.
15 15. Morgan R., Morgan D., Finney H. A predictive model for the assessment of soil erosion risk // Journal of agricultural engi-neering research. - 1984. - T. 30. - P. 245-253.
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