ШИРОКО ИСПОЛЬЗУЕМЫЕ В МИРЕ МОДЕЛИ ВЕТРОВОЙ ЭРОЗИИ ПОЧВ

Abstract

Wind erosion is a threat to numerous landscapes around the world, which can be amplified or suppressed by direct and indirect impacts. In recent years, great efforts have been made to determine the extent of wind erosion of soil in various environmental conditions around the world. With the advent of wind erosion models, a better understanding of the dynamics and basic mechanisms of wind erosion provides a basis for assessing not only soil erosion, but also various environmental management methods to combat wind erosion of soils. There are various models of wind erosion of varying degrees of complexity and specific capabilities, as well as a range of spatial and temporal scales of application. Due to their uncertainties and limitations, their applicability to various regions and research issues is still being debated. This article examines several widely used wind erosion models to compare the basic concepts of wind erosion dynamics and provides some recommendations regarding the applicability of the models, expected reliability and future directions of modeling research.

References

Баходиров З. А., Маматкулов А. Р. Новейшие методы мониторинга ветровой эрозии почв 2022. – C. – 9.

Мирзажанов К. М. Ветровая эрозия орошаемых почв Узбекистана и борьба с ней // – Т.: Фан. 1973.

Ahmadi H. Applied Geomorphology: Desert-Wind Erosion // Tehran: Tehran University Publication. 1998. (23). – C. – 85-395.

Alfaro S. C., Rajot J. L., Nickling W. Estimation of PM20 emissions by wind erosion: main sources of uncertainties // Geomorphology. 2004. № 1–4 (59). – C. – 63–74.

Azarkar S. M. [и др.]. Investigating the relationship between wind erosion and value of animal habitats in desert areas // International Journal of Environmental Science & Technology. 2006. (2). – C. – 387-393.

Bagnold R. A. The physics of blown sand and desert dunes / R. A. Bagnold, Courier Corporation, 2012.

Bhuyan S. J. [и др.]. Soil loss predictions with three erosion simulation models // Environmental Modelling & Software. 2002. № 2 (17). – C. – 135-144.

Blanco-Canqui H., Lal R. Soil and water conservation Springer, 2010. – C. – 1-19.

Böhner J. [и др.]. The WEELS model: methods, results and limitations // Catena. 2003. № 3–4 (52). – C. – 289-308.

Buschiazzo D. E., Zobeck T. M. Validation of WEQ, RWEQ and WEPS wind erosion for different arable land management systems in the Argentinean Pampas // Earth Surface Processes and Landforms. 2008. № 12 (33). – C. –1839-1850.

Chepil W. S., Woodruff N. P. The physics of wind erosion and its control // Advances in agronomy. 1963. (15). – C. – 211-302.

Edwards B. L., Webb N. P., McCord S. E. AERO: A wind erosion modeling framework with applications to monitoring data 2018.

Fan J. [и др.]. Statistical physics approaches to the complex Earth system // Statistical physics approaches to the complex Earth system. 2021. (896). – C. – 1-84.

Feng G., Sharratt B. Validation of WEPS for soil and PM10 loss from agricultural fields within the Columbia Plateau of the United States // Earth Surface Processes and Landforms. 2007. № 5 (32). – C. – 743-753.

Fryrear D. W. [и др.]. Revised wind erosion equation. Wind Erosion and Water Conservation Research Unit, USDA-ARS, Southern Plains Area Cropping Systems Research Laboratory // Technical Bulletin. 1998. (1).

Fryrear D. W. [и др.]. Wind Erosion Estimates with RWEQ and WEQ.

Gassman P. W. [и др.]. The Agricultural Policy/Environmental eXtender (APEX) model: An emerging tool for landscape and watershed environmental analyses // Transactions of the ASABE, 53 (3): 711-740. 2010. № PNNL-SA-67169 (53).

Goossens D., Riksen M. Wind erosion and dust dynamics at the commencement of the 21st century // Wind erosion and dust dynamics: observation, simulation, modelling. Wageningen: ESW publications. 2004. – C. –7-13.

Gregory J. M. [и др.]. TEAM: The Texas tech wind erosion analysis model Purdue University and the USDA-ARS National Soil Erosion Research Laboratory, 1999. – C. – 24-29.

Gregory J. M. [и др.]. TEAM: integrated, process-based wind-erosion model // Environmental Modelling & Software. 2004. № 2 (19). – C. – 205-215.

Hagen L. J. A wind erosion prediction system to meet user needs // Journal of Soil and Water Conservation. 1991. № 2 (46). – C. – 106-111.

Hagen L. J. Evaluation of the Wind Erosion Prediction System (WEPS) erosion submodel on cropland fields // Environmental Modelling & Software. 2004. № 2 (19). – C. – 171-176.

He X. [и др.]. Soil erosion response to climatic change and human activity during the Quaternary on the Loess Plateau, China // Regional Environmental Change. 2006. (6). – C. – 62-70.

Lu H., Shao Y. Toward quantitative prediction of dust storms: an integrated wind erosion modelling system and its applications // Environmental Modelling & Software. 2001. № 3 (16). – C. – 233-249.

Merritt W. S., Letcher R. A., Jakeman A. J. A review of erosion and sediment transport models // Environmental modelling & software. 2003. № 8–9 (18). – C. – 761-799.

Mortensen N. G. [и др.]. Wind atlas analysis and application program (WAsP) 1993.

Nicks A. D., Lane L. J., Gander G. A. Weather generator // USDA_Water Erosion Prediction Project: Hillslope Profile and Watershed Model Documentation, NSERL Report. 1989. № 10.

Oro L. A. de, Colazo J. C., Buschiazzo D. E. RWEQ – Wind erosion predictions for variable soil roughness conditions // Aeolian Research. 2016. (20). – C. – 139-146.

Pi H. [и др.]. Evaluation of two empirical wind erosion models in arid and semi-arid regions of China and the USA // Environmental Modelling & Software. 2017. (91). – C. – 28-46.

Plotkin S. [и др.]. APEX calibration and validation of water and herbicide transport under US Southern Atlantic Coastal Plain conditions // Transactions of the ASABE. 2013. № 1 (56). – C. – 43-60.

Potter K. N. [и др.]. Evaluation of EPIC’s wind erosion submodel using data from southern Alberta // Canadian Journal of Soil Science. 1998. № 3 (78). – C. – 485-492.

Puurveen H. [и др.]. Evaluation of EPIC’s snowmelt and water erosion submodels using data from the Peace River region of Alberta // Canadian journal of soil science. 1997. № 1 (77). – C. – 41-50.

Singh U. B., Gregory J. M., Wilson G. R. Texas erosion analysis model: theory and validation Citeseer, 1997. – C. – 3-5.

Skidmore E. L., Williams J. R. Modified EPIC wind erosion model // Modeling plant and soil systems. 1991. (31). – C. – 457-469.

Tatarko J. [и др.]. Application of the WEPS and SWEEP models to non-agricultural disturbed lands // Heliyon. 2016. № 12 (2). – C. e00215.

Tatarko J., Wagner L., Fox F. The Wind Erosion Prediction System and its Use in Conservation Planning John Wiley & Sons, Ltd, 2019. – C. – 71-101.

Wagner L. E. A history of Wind Erosion Prediction Models in the United States Department of Agriculture: The Wind Erosion Prediction System (WEPS) // Aeolian Research. 2013. (10). – C. – 9-24.

Wang C. [и др.]. Interpolation of soil properties from geostatistical priors and DCTbased compressed sensing // Ecological Indicators. 2022. (140). – C. 109013.

Webb N. P. [и др.]. A model to predict land susceptibility to wind erosion in western Queensland, Australia // Environmental Modelling & Software. 2009. № 2 (24). C. 214–227.

Weinan C., Fryrear D. W. Grain-size distributions of wind-eroded material above a flat bare soil // Physical Geography. 1996. № 6 (17). – C. – 554-584.

Williams J. [и др.]. APEX model validation for CEAP // USDA-Natural Resources Conservation Service, Temple, Texas. 2010. – C. – 1-13.

Williams J. R., Jones C. A., Dyke P. T. A modeling approach to determining the relationship between erosion and soil productivity // Transactions of the ASAE. 1984. № 1 (27). – C. – 129-0144.