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土壤可蚀性因子制图及其不确定性研究进展 被引量:3

Research Advances in Mapping of Soil Erodibility Factor and Its Uncertainty
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摘要 土壤可蚀性因子是评价土壤对侵蚀敏感程度的重要指标,也是进行土壤侵蚀预报的重要参数。为促进今后相关研究的发展,较为系统地阐述了土壤可蚀性因子、土壤可蚀性因子的空间预测以及土壤可蚀性因子制图中的误差和不确定性的国内外研究现状。分析指出,准确地制作土壤可蚀性因子空间分布图具有重要的现实意义,然而,影响土壤可蚀性因子的因素相当复杂,将土壤类型、高程、遥感等辅助信息融入空间预测,量化、分析空间预测过程中的不确定性,降低制图误差、提高精度、控制风险,成为今后研究的方向。 Soil erodibility is an important indicator of assessing impact of erosion on soil,and also an important parameter for predicting soil erosion. In order to promote relevant research of soil erodibility factor in the future,we present state of the art in China and abroad in terms of its spatial prediction and error and uncertainty of mapping.Analysis shows that accurately acquiring spatial distribution of soil erodibility factor is of practical significance,but it is a difficult task due to complex factors which affect soil erodibility factor. In the future,we should lay emphasis on reducing mapping error,improving accuracy and controlling risk,and quantitatively analyzing the uncertainty of spatial prediction,in association with auxiliary information such as soil types,elevation,and remote sensing images.
出处 《长江科学院院报》 CSCD 北大核心 2016年第2期24-27,37,共5页 Journal of Changjiang River Scientific Research Institute
基金 国家自然科学基金项目(41201269 41101191) 中央级公益性科研院所基本科研业务费资助项目(CKSF2015011/TB CKSF2014022/TB) 长江科学院创新团队项目(CKSF2012052/TB) 国家科技重大专项专题(2012ZX07503-002-03)
关键词 土壤可蚀性 空间预测 土壤可蚀性因子制图 不确定性 地统计学 soil erodibility spatial prediction mapping of soil erodibility factor uncertainty geostatistics
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  • 1WISCHMEIER W H, SMITH D D. Predicting Rainfall Erosion Losses—A Guide to Conservation Planning[R]. Washington D C: U.S. Department of Agriculture, 1987.
  • 2WISCHMEIER W H,JOHNSON C B, CROSS B V.Soil Erodibility Nomograph for Farmland Construction Sites[J]. Journal of Soil and Water Conservation, 1971, 26(5): 189-193.
  • 3FOSTER G R. Soil Erosion Modeling: Special Considerations for Nutrient Pollution Evaluation of Field Sized Area [M]∥OVERCASH M R, DAVIDSON J M. Environment Impact of Non point Source Pollution. Ann Arbor, Michigan : Ann Arbor Science Publishers, 1980:213-243.
  • 4SHARPLY A N, WILLIAMS J R. EPIC-erosion/Productivity Impact Calculator: 1) Model Documentation[R]. Washington D C: USDA-ARS Technical Bulletin, 1990.
  • 5RENARD K G, FOSER G R, WEESIES G A, et al. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Universal Soil Loss Equation (RUSLE)[R]. Washington D C: U.S. Department of Agriculture,1997.
  • 6TORRI D, POESSEN J, BORSELLI L. Erratum to Predictability and Uncertainty of the Soil Erodibility Factor Using A Global Dataset [J]. Catena, 2002, 46: 309-310.
  • 7YU Dong-Sheng,SHI Xue-Zheng,D. C. WEINDORF.Relationships Between Permeability and Erodibility of Cultivated Acrisols and Cambisols in Subtropical China[J].Pedosphere,2006,16(3):304-311. 被引量:17
  • 8张科利,彭文英,杨红丽.中国土壤可蚀性值及其估算[J].土壤学报,2007,44(1):7-13. 被引量:287
  • 9傅伯杰,赵文武,陈利顶,吕一河,王德.多尺度土壤侵蚀评价指数[J].科学通报,2006,51(16):1936-1943. 被引量:44
  • 10张文太,于东升,史学正,张向炎,王洪杰,顾祝军.中国亚热带土壤可蚀性K值预测的不确定性研究[J].土壤学报,2009,46(2):185-191. 被引量:30

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