土壤可蚀性因子制图及其不确定性研究进展

孙佳佳; 王志刚

doi:10.11988/ckyyb.20140824

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raybet体育在线院报 ›› 2016, Vol. 33 ›› Issue (2) : 24-27. DOI: 10.11988/ckyyb.20140824

水土保持与生态建设

土壤可蚀性因子制图及其不确定性研究进展

孙佳佳^a, 王志刚^b

作者信息 +

Research Advances in Mapping of Soil Erodibility Factor and Its Uncertainty

SUN Jia-jia¹, WANG Zhi-gang²

Author information +

文章历史 +

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。

Abstract

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.

导出引用

孙佳佳, 王志刚. 土壤可蚀性因子制图及其不确定性研究进展[J]. raybet体育在线院报. 2016, 33(2): 24-27 https://doi.org/10.11988/ckyyb.20140824

SUN Jia-jia, WANG Zhi-gang. Research Advances in Mapping of Soil Erodibility Factor and Its Uncertainty[J]. Journal of Changjiang River Scientific Research Institute. 2016, 33(2): 24-27 https://doi.org/10.11988/ckyyb.20140824

中图分类号： S157.1

参考文献

[1] WISCHMEIER W H, SMITH D D. Predicting Rainfall Erosion Losses—A Guide to Conservation Planning[R]. Washington D C: U.S. Department of Agriculture, 1987.
[2] 刘宝元, 谢云, 张科利. 土壤侵蚀预报模型[M]. 北京:中国科学技术出版社, 2001.
[3] WISCHMEIER 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.
[4] FOSTER 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.
[5] SHARPLY A N, WILLIAMS J R. EPIC-erosion/Productivity Impact Calculator: 1) Model Documentation[R]. Washington D C: USDA-ARS Technical Bulletin, 1990.
[6] RENARD 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.
[7] TORRI 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.
[8] YU D S, SHI X Z, WEINDORF D C. Relationships Between Permeability and Erodibility of Cultivated Acrisols and Cambisols in Subtropical China[J]. Pedosphere, 2006, 16(3): 304-311.
[9] 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.
[10]傅伯杰, 赵文武, 陈利顶, 等. 多尺度土壤侵蚀评价指数[J]. 科学通报, 2006, 51(16): 1936-1943.
[11]张文太, 于东升, 史学正, 等. 中国亚热带土壤可蚀性K值预测的不确定性研究. 土壤学报, 2009, 46(2): 185-191.
[12]WANG G X, GERTNER G, FANG S F, et al. Mapping Multiple Variables for Predicting Soil Loss by Geostatistical Methods with TM Images and A Slope Map[J]. Photogrammetric Engineering & Remote Sensing,2003,69(8):889-898.
[13]HENGL T, HEUVELINK G B M, STEIN A. A Generic Framework for Spatial Prediction of Soil Variables Based on Regression-kriging[J]. Geoderma, 2004, 120: 75-93.
[14]ILWIS Department, International Institute for Aerospace Survey & Earth Sciences. ILWIS 2.1 for Windows: Applications Guide[M]. Enschede,the Netherlands:International Institute for Aerospace Survery & Earth Sciences,1997.
[15]RENSCHLER C S, MANNAERTS C, DIEKKRGER B. Evaluating Spatial and Temporal Variability in Soil Erosion Risk-rainfall Erosivity and Soil Loss Ratios in Andalusia, Spain[J]. Catena, 1999, 34: 209-225.
[16]BISSONNAIS Y L, MONTIER C, JAMAGNE M, et al. Mapping Erosion Risk for Cultivated Soil in France[J]. Catena, 2001, 46: 207-220.
[17]CHANDRAMOHAN T, DURBUDE D G. Estimation of Soil Erosion Potential Using Universal Soil Loss Equation[J]. Journal of the Indian Society of Remote Sensing, 2002,30(4):181-190.
[18]LUFAFA A, TENYWA M M, ISABIRYE M, et al. Prediction of Soil Erosion in A Lake Victoria Basin Catchment Using A GIS-based Universal Soil Loss Model[J]. Agricultural Systems, 2003, 76: 883-894.
[19]WANG X D, ZHONG X H, FAN J R. Assessment and Spatial Distribution of Sensitivity of Soil Erosion in Tibet[J]. Journal of Geographical Sciences, 2004, 14(1): 41-46.
[20]KHEIR R B, CERDAN O, ABDALLAH C. Regional Soil Erosion Risk Mapping in Lebanon[J]. Geomorphology, 2006, 82: 347-359.
[21]IRVEM A, TOPALOLU F, UYGUR V. Estimating Spatial Distribution of Soil Loss over Seyhan River Basin in Turkey[J]. Journal of Hydrology, 2007, 336: 30-37.
[22]BAIGORRIA G A, ROMERO C C. Assessment of Erosion Hotspots in A Watershed: Integrating the WEPP Model and GIS in A Case Study in the Peruvian Andes[J]. Environmental Modelling & Software, 2007, 22: 1175-1183.
[23]BACCHI O O S, REICHARDT K, SPAROVEK G. Sediment Spatial Distribution Evaluated by Three Methods and Its Relation to Some Soil Properties[J]. Soil & Tillage Research, 2003, 69: 117-125.
[24]PANAGOS P, MEUSBURGER K, ALEWELL C, et al. Soil Erodibility Estimation Using LUCAS Point Survey Data of Europe[J]. Environmental Modelling & Software, 2012, 30: 143-145.
[25]REJMAN J, TURSKI R, PALUSZEK J. Spatial and Temporal Variations in Erodibility of Loess Soil[J]. Soil and Tillage Research, 1998, 46: 61-68.
[26]VEIHE A. The Spatial Variability of Erodibility and Its Relation to Soil Types: A Study from Northern Ghana[J]. Geoderma, 2002, 106: 101-120.
[27]PREZ-RODRGUEZ R, MARQUES M J, BIENES R. Spatial Variability of the Soil Erodibility Parameters and Their Relation with the Soil Map at Subgroup Level[J]. Science of the Total Environment, 2007, 378: 166-173.
[28]DIODATO N, FAGNANO M, ALBERICO I, et al. Mapping Soil Erodibility from Composed Data Set in Sele River Basin, Italy[J]. Natural Hazards, 2011, 58: 445-457.
[29]PANAGOPOULOS T, FERREIRA V, JESUS J. Determining the Relation Between Soil Erodibility and Spatial Variability of Erosion Properties Using Geostatistical Techniques at the Alqueva Reservoir Area in Recent Researches in Energy & Environment[C]// World Scientific and Engineering Academy and Society. Proceedings of 6th IASME/WSEAS International Conference on Energy & Environment, Cambridge ,UK, February 23-25, 2011:105-110.
[30]WANG G X, GERTNER G, LIU X Z, et al. Uncertainty Assessment of Soil Erodibility Factor for Revised Universal Soil Loss Equation[J]. Catena, 2001, 46: 1-14.
[31]PARYSOW P, WANG G X, GERTNER G, et al. Spatial Uncertainty Analysis for Mapping Soil Erodibility Based on Joint Sequential Simulation[J]. Catena, 2003, 53: 65-78.
[32]WANG G X, GERTNER G Z, FANG S F, et al. A Methodology for Spatial Uncertainty Analysis of Remote Sensing and GIS Products[J]. Photogrammetric Engineering & Remote Sensing, 2005, 71(12): 1423-1432.
[33]汤国安, 杨昕. ArcGIS地理信息系统空间分析实验教程[M]. 北京: 科学出版社, 2006.
[34]MCBRATNEY A B, SANTOS M L M, MINASNY B. On Digital Soil Mapping[J]. Geoderma, 2003, 117: 3-52.
[35]JOURNEL A G, KYRIAKIDIS P C, MAO S G. Correcting the Smoothing Effect of Estimators: A Spectral Postprocessor[J]. Mathematical Geology, 2000, 32(7): 787-813.
[36]DAVIS F W, QUATTROCHI D A, RIDD M K, et al. Environmental Analysis Using Integrated GIS and Remotely Sensed Data: Some Research Needs and Priorities[J]. Photogrammetric Engineering & Remote Sensing, 1991, 57(6): 689-697.
[37]LUNETTA R S, CONGALTON R G, FENSTERMAKER L K, et al. Remote Sensing and Geographic Information System Data Integration: Error Sources and Research Issues[J]. Photogrammetric Engineering & Remote Sensing, 1991, 57(6): 677-687.
[38]KHORRAM S, BIGING G S, CHRISTMAN N R, et al. Accuracy Assessment of Remote Sensing-derived Change Detection, ASPRS Monograph Series[M]. Bethesda: American Society for Photogrammetry and Remote Sensing, 1999.
[39]PONTIUS R G. Quantification Error Versus Location Error in Comparison of Categorical Maps[J]. Photogrammetric Engineering & Remote Sensing, 2000, 66(8): 1011-1016.
[40]GOOVAERTS P. Geostatistical Modelling of Uncertainty in Soil Science[J]. Geoderma, 2001, 103: 3-26.