Sensitivity Analysis of Soil Property Parameter in Typical-sample-based Prediction Model of Digital Soil Mapping

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  • 1. School of Geography, Beijing Normal University, Beijing 100875, China;
    2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

Received date: 2010-09-29

  Revised date: 2010-12-24

  Online published: 1997-12-20

Abstract

Although the typical-sample-based prediction models of the spatial distribution of soil property are promising in digital soil mapping,the sensitivity analysis of the soil property parameter in these models is still lack.This paper presents an attempt to establish weighed average model on a fuzzy slope position based on typical samples for digital soil mapping.The soil samples of A-horizon soil organic matter were collected in a low-relief small watershed in Northeast China.A "factorial design" method was applied to simulating scenarios of modeling point set.The performances of the model under different scenarios were analyzed with box plot.Further,we designed an MR index,which was calculated from the median and the range of the prediction error,for parameter sensitivity analysis based on the prediction performance of model.Both MR index and existing sensitivity index were used in this study.The result shows that the weighed average model is sensitive to the soil property parameter.The sensitivity degree is related to the locations of typical soil sample.The method proposed in this paper is also available for the parameter sensitivity analysis of other typical-sample-based prediction models of digital soil mapping.

Cite this article

LU Yan-jun, QIN Cheng-zhi, QIU Wei-li, ZHU A-xing . Sensitivity Analysis of Soil Property Parameter in Typical-sample-based Prediction Model of Digital Soil Mapping[J]. SCIENTIA GEOGRAPHICA SINICA, 2011 , 31(12) : 1549 -1554 . DOI: 10.13249/j.cnki.sgs.2011.012.1549

References

[1] Zhu A X,Band LVertessy R,et al.Derivation of soil properties u-sing a Soil Land Inference Model(SoLIM)[J].Soil Science So-ciety of America Journal,1997,61(2):523-533.
[2] 阎伍玖.芜湖市城市边缘区土壤重金属污染空间特征研究[J].地理科学,2008,28(2):282~285.
[3] 白军红,丁秋祎,高海峰,等.向海湿地不同植被群落下土壤氮素的分布特征[J].地理科学,2009,29(3):381~384.
[4] Bishop T F A,McBratney A B.A comparison of prediction meth-ods for the creation of field-extent soil property maps[J].Geo-derma,2001,103(1-2):149-160.
[5] 连纲,郭旭东,傅伯杰,等.基于环境相关法的土壤属性空间分布特征研究——以黄土丘陵沟壑区小流域为例[J].地理科学,2008,28(4):554~558.
[6] 孙孝林,赵玉国,秦承志,等.DEM水平分辨率对多元线性土壤-景观模型及其制图应用的影响[J].土壤学报,2008,45 (5):971~977.
[7] Mueller T G,Pierce F J.Soil carbon maps:enhancing spatial es-timates with simple terrain attributes at multiple scales[J].Soil Science Society of America Journal,2003,67(1):258-267.
[8] 李翔,潘瑜春,赵春江,等.利用不同方法估测土壤有机质及其对采样数的敏感性分析[J].地理科学,2007,27(5): 689~694.
[9] Pei T,Qin C,Zhu A,et al.Mapping soil organic matter using the topographic wetness index:A comparative study based on differ-ent flow-direction algorithms and kriging methods[J].Ecologi-cal Indicators,2010,10(3):610-619.
[10] Zhu A X,Qi F,Moore A,et al.Prediction of soil properties using fuzzy membership values[J].Geoderma,2010,158(3-4):199-206.
[11] 杨琳,朱阿兴,秦承志,等.运用模糊隶属度进行土壤属性制图的研究——以黑龙江鹤山农场研究区为例[J].土壤学报,2009,46(1):9~15.
[12] 秦承志,卢岩君,邱维理,等.模糊坡位信息在精细土壤属性空间推测中的应用[J].地理研究,2010,29(9):1706~1714.
[13] Wetterlind J,Stenberg B,Soderstrom M.Increased sample point den-sity in farm soil mapping by local calibration of visible and near in-frared prediction models[J].Geoderma,2010,156(3-4):152-160.
[14] 秦承志,卢岩君,包黎莉.简化数字地形分析软件SimDTA(V1. 0)及其在坡位信息提取中的应用[J].地球信息科学学报, 2009,11(6):737~743.
[15] Qin C,Zhu A X,Shi X,et al.Quantification of spatial gradation of slope positions[J].Geomorphology,2009,110(3-4):152-161.
[16] 秦承志,朱阿兴,李宝林,等.坡位的分类及其空间分布信息的定量化[J].武汉大学学报(信息科学版),2009,34(3): 374~377.
[17] Burrough P A,van Gaans P F M,MacMillan R A.High-resolu-tion landform classification using fuzzy k-means[J].Fuzzy Sets and Systems,2000,113(1):37-52.
[18] MacMillan R A,Pettapiece W W,Nolan S C,et al.A generic pro-cedure for automatically segmenting landforms into landform ele-ments using DEMs,heuristic rules and fuzzy logic[J].Fuzzy Sets and Systems,2000,113(1):81-109.
[19] Hamby D M.A review of techniques for parameter sensitivity a-nalysis of environmental models[J].Environmental Monitoring and Assessment,1994,32(2):135-154.
[20] 王中根,夏军,刘昌明.分布式水文模型的参数率定及敏感性分析探讨[J].自然资源学报,2007,22(4):649~655.
[21] Lenhart T,Eckhardt K,Fohrer N,et al.Comparison of two differ-ent approaches of sensitivity analysis[J].Physics and Chemistry of the Earth,2002,27(9-10):645-654.
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