An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing
Yi ZHOU1, Bing GUO1,2*, ShiXin WANG1, HePing TAO3
1 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing
Yi ZHOU1, Bing GUO1,2*, ShiXin WANG1, HePing TAO3
1 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 2 University of Chinese Academy of Sciences, Beijing 100049, China; 3 Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
摘要 Studies of wind erosion based on Geographic Information System (GIS) and Remote Sensing (RS) have not attracted sufficient attention because they are limited by natural and scientific factors. Few studies have been conducted to estimate the intensity of large-scale wind erosion in Inner Mongolia, China. In the present study, a new model based on five factors including the number of snow cover days, soil erodibility, aridity, vegetation index and wind field intensity was developed to quantitatively estimate the amount of wind erosion. The results showed that wind erosion widely existed in Inner Mongolia. It covers an area of approximately 90×104 km2, accounting for 80% of the study region. During 1985–2011, wind erosion has aggravated over the entire region of Inner Mongolia, which was indicated by enlarged zones of erosion at severe, intensive and mild levels. In Inner Mongolia, a distinct spatial differentiation of wind erosion intensity was noted. The distribution of change intensity exhibited a downward trend that decreased from severe increase in the southwest to mild decrease in the northeast of the region. Zones oc-cupied by barren land or sparse vegetation showed the most severe erosion, followed by land occupied by open shrubbery. Grasslands would have the most dramatic potential for changes in the future because these areas showed the largest fluctuation range of change intensity. In addition, a significantly negative relation was noted between change intensity and land slope. The relation between soil type and change intensity differed with the content of CaCO3 and the surface composition of sandy, loamy and clayey soils with particle sizes of 0–1 cm. The results have certain significance for understanding the mechanism and change process of wind erosion that has occurred during the study period. Therefore, the present study can provide a scientific basis for the prevention and treatment of wind erosion in Inner Mongolia.
Abstract: Studies of wind erosion based on Geographic Information System (GIS) and Remote Sensing (RS) have not attracted sufficient attention because they are limited by natural and scientific factors. Few studies have been conducted to estimate the intensity of large-scale wind erosion in Inner Mongolia, China. In the present study, a new model based on five factors including the number of snow cover days, soil erodibility, aridity, vegetation index and wind field intensity was developed to quantitatively estimate the amount of wind erosion. The results showed that wind erosion widely existed in Inner Mongolia. It covers an area of approximately 90×104 km2, accounting for 80% of the study region. During 1985–2011, wind erosion has aggravated over the entire region of Inner Mongolia, which was indicated by enlarged zones of erosion at severe, intensive and mild levels. In Inner Mongolia, a distinct spatial differentiation of wind erosion intensity was noted. The distribution of change intensity exhibited a downward trend that decreased from severe increase in the southwest to mild decrease in the northeast of the region. Zones oc-cupied by barren land or sparse vegetation showed the most severe erosion, followed by land occupied by open shrubbery. Grasslands would have the most dramatic potential for changes in the future because these areas showed the largest fluctuation range of change intensity. In addition, a significantly negative relation was noted between change intensity and land slope. The relation between soil type and change intensity differed with the content of CaCO3 and the surface composition of sandy, loamy and clayey soils with particle sizes of 0–1 cm. The results have certain significance for understanding the mechanism and change process of wind erosion that has occurred during the study period. Therefore, the present study can provide a scientific basis for the prevention and treatment of wind erosion in Inner Mongolia.
This work was supported by the National Natural Science Foundation of China (41201441, 41371363, 41301501), Foun-dation of Director of Institute of Remote Sensing and Digital Earth, Chinese Academy of Science (Y4SY0200CX) and Guangxi Key Laboratory of Spatial Information and Geomatics (1207115-18).
引用本文:
Yi ZHOU, Bing GUO, ShiXin WANG, HePing TAO. An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing[J]. 干旱区科学, 2015, 7(3): 304-317.
Yi ZHOU, Bing GUO, ShiXin WANG, HePing TAO. An estimation method of soil wind erosion in Inner Mongolia of China based on geographic information system and remote sensing. Journal of Arid Land, 2015, 7(3): 304-317.
Assefa M M. 2004. Spatiotemporal dynamics of land surface parameters in the Red River of the North Basin. Physics and Chemistry of the Earth, Parts A/B/C, 29: 795–810.Bajracharya R M, Lal R, Hall G F. 1998. Temporal variation in proper-ties of an uncropped, ploughed Miamian soil in relation to seasonal erodibility. Hydrological Process, 12: 1021–1030.Bilbro J D, Fryrear D W. 1994. Wind erosion losses as related to plant silhouette and soil cover. Agronomy Journal, 86: 550–553.Bruin S. 2000. Predicting the areal extent of land-cover types using classified imagery and geostatistics. Remote Sensing of Environ-ment, 74: 387–396.Bryan R B. 1968. The development, use and efficiency of indices of soil erodibility. Geoderma, 2: 5–26.Buschiazzo D E, Zobeck T M. 2008. Validation of WEQ, RWEQ and WEPS wind erosion for different arable land management systems in the Argentinean Pampas. Earth Surface and Landscape Processes, 33: 1839–1850.Chappell A, Zobeck T M, Brunner G. 2006. Using bi-directional soil spectral reflectance to model soil surface changes induced by rainfall and wind-tunnel abrasion. Remote Sensing of Environment, 102: 328–343.Chen S Q, Wang L J, Lu S H, et al. 2007. Study of NDVI and climate change in Maqu County, upstream of Yellow River. Journal of Gla-ciology and Geocryology, 29: 131–136. (in Chinese)Dobrowski S Z, Pushnik J C, Zarco-Tejada P J, et al. 2005. Simple reflectance indices track heat and water stress-induced changes in steady-state chlorophyll fluorescence at the canopy scale. Remote Sensing of Environment, 97: 403−414.Dunne J A, Saleska S R, Fischer M L, et al. 2004. Integrating experi-mental and gradient methods in ecological climate change research. Ecology, 85: 904−916.Fryrear D W, Krammes C A, Williamson D L, et al. 1994. Computing the wind erodible fraction of soils. Journal of Soil and Water Con-servation, 49: 183–188.Fu X F, Yang S T, Liu C M. 2007. Changes of NDVI and their relations with principal climatic factors in the Yarlung Zangbo River Basin. Geographic Research, 26: 60–66. (in Chinese)Geeves G W, Leys J F, McTainsh G H. 2000. Soil erodibility. In: Charman P E V, Murphy B W. Soils: Their Properties and Manage-ment. New York: Oxford University Press, 205–220.Grini A, Zender C S. 2004. Roles of saltation, sandblasting, and wind speed variability on mineral dust aerosol size distribution during the Puerto Rican Dust Experiment (PRIDE). Journal of Geophysical Research, 109: 102–108.Hagen L J. 1991. A wind erosion prediction system to meet users needs. Journal of Soil and Water Conservation, 46: 106–111.Hevia G G, Mendez M, Buschiazzo D E. 2007. Tillage affects soil aggregation parameters linked with wind erosion. Geoderma, 140: 90–96.Huete A R, Tucker C J. 1991. Investigation of soil influences in AVHRR red and near-infrared vegetation index imagery. International Journal of Remote Sensing, 12: 1223–1242.Ilan S, Eugene D U, Hanoch L, et al. 2008. Grazing-induced spatial variability of soil bulk density and content of moisture, organic carbon and calcium carbonate in a semi-arid rangeland. Catena, 75: 288–296.IPCC. 2007. Climate Change 2007: The Physical Science Basis. Con-tribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cam-bridge University Press.Jiang D M, Liu Z M, Cao C Y, et al. 2003. Desertification and Ecological Restoration of Keerqin Sandy Land. Beijing: China Environmental Science Press, 32–142. (in Chinese)Jiang D S, Li X H, Fan X K, et al. 1995. Discussion on soil anti-scouring properties and arrangement of soil and water conservation measure system in the contiguous areas of Shanxi, Shaanxi and Inner Mon-golia. Journal of Soil and Water Conservation, 9(1): 1–7. (in Chi-nese)Jing K, Wang W Z, Zheng F L. 2005. Soil Erosion and Environment in China. Beijing: Science Press. (in Chinese)Knapp A K, Smith M D. 2001. Variation among biomes in temporal dynamics of aboveground primary production. Science, 291: 481–484.Li F R, Zhao A F, Zhou H Y, et al. 2002. Effects of simulated grazing on grown and persistence of Artemisia frigida in a semiarid sandy rangeland. Grass and Forage Science, 57: 239–247.Li F R, Zhang H, Zhang T H, et al. 2003. Variations of sand transporta-tion rates in sandy grasslands along a desertification gradient in northern China. Catena, 53: 255–272.Li F R, Zhao L Y, Zhang H, et al. 2004. Wind erosion and airborne dust deposition in farmland during spring in the Horqin Sandy Land of eastern Inner Mongolia, China. Soil and Tillage Research, 75: 121–130.Li L H, Han X G, Wang Q B, et al. 2002. Correlations between plant biomass and soil respiration in a Leymus chinensis community in the Xilin River Basin of Inner Mongolia. Acta Botanica Sinica, 44(5): 593–597. (in Chinese)Li X B, Chen Y H, Wang H, et al. 2004. Regional distribution of land cover change amplitude in China. Scientia Geographica Sinica, 24: 270–274. (in Chinese)McHenry J R, Ritchie J C. 1977. Physical and chemical parameters affecting transport of CS-137 in arid watersheds. Water Resource Research, 13: 923–927.Merrill S D, Black A L, Fryrear D W, et al. 1999. Soil wind erosion hazard of spring wheat-fallow as affected by long-term climate and tillage. Soil Science Society of America Journal, 63: 1768–1777.Miao C Y, He B H, Chen X Y, et al. 2004. Analysis on correlativity of soil erodibility factors of USLE and WEPP models. Soil and Water Conservation in China, 6: 23–26. (in Chinese)Mostaghimi S, Young R A, Wilts A R, et al. 1988. Effects of frost action on soil aggregate stability. Transactions of the American Society of Agricultural Engineers, 31(2): 435–439.Mutchler C K, Carter C E. 1983. Soil erodibility variation during the year. Transactions of the American Society of Agricultural Engineers, 26: 1102–1104.Nakano T, Nemoto M, Shinoda M. 2008. Environmental controls on photosynthetic production and ecosystem respiration in semi-arid grasslands of Mongolia. Agricultural and Forest Meteorology, 148: 1456–1466.Qi J, Ma W, Song C X. 2008. Influence of freeze–thaw on engineering properties of a silty soil. Cold Regions Science and Technology, 53(3): 397–404.Rana G, Katerji N, Lorenzi F. 2005. Measurement and modelling of evapotranspiration of irrigated citrus orchard under Mediterranean conditions. Agriculture Forest Meteorology, 128(3–4): 199–209.Raupach M R, Lu H. 2004. Representation of land-surface processes in aeolian transport models. Environmental Modelling and Software, 19: 93–112.Shi T G, Sun X H, Yan Y C. 2003. Study on the seasonal wind-sand land in the northwest region of Shandong Province based on Remote Sensing. Areal Research and Development, 22(5): 43–45. (in Chi-nese)Singh U B, Gregory J M, Wilson G R. 1999. Texas erosion analysis model: theory and validation. In: Skidmore E L, Tatarko J. Wind Erosion Proceedings of an International Symposium/Workshop, 3–5 June 1997. Kansas State University, Manhattan: United States De-partment of Agriculture (USDA), Agricultural Research Service, Wind Erosion Research Unit.Stow D A, Hope A, MacGuire D, et al. 2004. Remote sensing of vege-tation and land-cover change in Arctic Tundra Ecosystems. Remote Sensing of Environment, 89: 281–308.Sutherland R A, Kowalchuk T, Dejong E. 1991. Cesium-137 estimates of sediment redistribution by wind. Soil Science, 151(15): 387–396.Thorne M E, Young F I, Pan W I, et al. 2003. No-till spring cereal cropping systems reduce wind erosion susceptibility in the wheat-fallow region of the Pacific Northwest. Journal of Soil and Water Conservation, 58(5): 251–257.Vaezi A R, Sadeghi S R H, Bahrami H A, et al. 2008. Modeling the USLE K-factor for calcareous soils in northwestern Iran. Geomor-phology, 97: 414–423.Verheijen F G A, Jones R J A, Rickson R J, et al. 2009. Tolerable versus actual soil erosion rates in Europe. Earth-Science Reviews, 94: 23–38.Webb N P, McGowan H A, Phinn S R, et al. 2009. A model to predict land susceptibility to wind erosion in western Queensland, Australia. Environmental Modelling and Software, 24: 214–227.Wei Z G, Huang R H, Chen W, et al. 2002. Spatial distributions and interdecadal variations of the snow at the Tibetan Plateau weather stations. Chinese Journal of Atmospheric Sciences, 26(4): 496–508. (in Chinese)Wood K, Rubio H, Wood C. 2008. Rangeland management and hydrology. In: Proceedings XXI International Grassland Con-gress and VII International Rangeland Congress. Hohhot, China, 809–812.Zhang C L, Gong J R, Zou X Y, et al. 2003. Estimates of soil movement in a study area in Gonghe Basin, north-east of Qinghai-Tibet Plateau. Journal of Arid Environments, 53(3): 283–285.Zhang H B, Luo Y M, Zhao Q G, et al. 2006. Hong Kong soil researches Ⅵ. integrated evaluation of soil fertility quality based on the im-proved analytic hierarchy process. Acta Pedologica Sinica, 43(4): 577–583. (in Chinese)Zhang J G, Liu S Z, Yang S Q. 2007. The classification and assessment of freeze-thaw erosion in Tibet. Journal of Geographical Sciences, 2: 165–174.Zhang W J, Gao Z Q. 2006. Spatial variation of water/thermal elements and NDVI with altitudes in central and eastern Tibetan Plateau. Geographic Research, 25: 877–886. (in Chinese)Zhao X G, Shi H. 2003. Prescription of soil anti-erosion capabilty under water erosion. Arid Land Geography, 26(1): 12–16. (in Chinese)Zhou P H, Wu C L. 1993. The research method of soil anti-scouribility experiment on the Loess Plateau. Journal of Soil and Water Con-servation, 7(1): 29–34. (in Chinese)Zhou Z C, Shangguan Z P. 2006. Soil anti-scourability during the vegetation succession in Ziwuling secondary forest. Acta Ecologica Sinica, 26(10): 3270–3275. (in Chinese)Zhu Z, Chen G T. 1994. The Sandy Desertification in China. Beijing: Science Press, 250–268. (in Chinese)
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