土壤水分监测与模拟研究进展

doi:10.11820/dlkxjz.2004.03.008

Abstract

Abstract:

As known to all, variance of soil water not only has great impact on regional hydro, but also influences climate greatly through vegetation and soil. Monitoring and simulation of soil moisture are important basis of land sustainable use， planning and management of water resources and water-saving technique in agriculture. Therefore, soil water has been up to the agenda in the Global Soil Wetness Project, and become one of the focuses in the study of Global Climate Change. A critical review on soil moisture monitoring， spatial variability and simulation was carried out in this paper．As a result, it can be concluded that "3S"techniques including Geographical Information System(GIS)， Remote Sensing(RS)， and Global Position System(GPS) have played an important role in the monitoring soil moisture．The pre-processing， communicating and mining for soil moisture data have been timely dealt with by computer networks in some developed countries．However， many developing countries include China failed to do that．The Geo-statistics theory has already been extensively employed to analyze the spatial pattern and variability of soil moisture， but most existed researches have been done in the fine and small scales， and few researches in coarse scales．After analyzing advantages and disadvantages of the established models for simulating soil moisture， we proposed that integrated non-parameter models should be established to simulate soil moisture by combining "3S" techniques and Geo-statistics theory．This paper is attempts to probe into the study of monitoring and simulating soil moisture and summarize the methods and approaches used in the soil water research, which may be helpful for improving the relevant study in China.

Key words: monitoring, progress, simulation, soil moisture, spatial variability

SHAO Xiaomei, YAN Changrong, XU Zhenjian. Progress in Monitoring and Simulation of Soil Moisture[J].PROGRESS IN GEOGRAPHY, 2004, 23(3): 58-66.

References

[1] 张义丰，王又丰等．中国北方旱地农业研究进展与思考．地理研究， 2002， 21（3）：305～312．

[2] 李海滨，林忠辉等． Kriging方法在区域土壤水分估值中的应用．地理研究， 2001， 20（4）：446～452．

[3] A．Henderson-Sellers． Soil moisture: A critical focus for global change studies． Global and Planetary Change，1996，13：3～9．

[4] OweM． Estimating Surface Soil Moisture from Satellite Microwave Measurement and a Satellite Derived Vegetation Index．Remote Sens Environ， 1988， 24：331～345．

[5] SeguinB． The Assessment of Regional Crop Water Conditions from eteorological Satellite Thermal Infrared Data．Remote Sens Environ， 1991， 35：141～148．

[6] Matthews K B． Climate soil moisture deficit climate and soil data integration in a GIS．Climate， 1994， 28：273～283．

[7] Vassilis Z．， Antonopoulos． Simulation of soil moisture dynamics on irrigated cotton in semi-arid climates． Agricultural Water Management， 1997， 34：233～246．

[8] http://www.wcc.nrcs.usda.gov/wccother/links.html

[9] 陶毓汾，王立祥等．中国北方旱农地区水分生产潜力及开发．北京：气象出版社， 1993．

[10] 信乃诠等．中国北方旱区农业研究．北京：中国农业出版社， 2002．

[11] 薛亮．中国节水农业理论与实践．北京：中国农业出版社， 2002．

[12] 赵聚宝，徐祝龄等．中国北方旱地农田水分开发利用．北京：中国农业出版社， 1996．

[13] 严昌荣，居辉等．中国北方旱地农田水分动态变化特征．农业工程学学报， 2002， 18（3）：11～14．

[14] 任鹤麒，金龙．雨后麦田土壤湿度变化的诊断分析．气象科学， 1996， 16（3）：264～271．

[15] 陈洪松，郝明德等．黄土高原沟壑区农田土壤水分动态变化分析．水土保持研究， 2003， 10（1）：92～94．

[16] 何其华，何永华等．干旱半干旱区山地土壤水分动态变化．山地学报， 2001， 21（2）： 149～156．

[17] 张军涛，艾华等．东北农牧交错区水分条件的空间分异及其对土地利用的影响．地理科学进展， 2001， 20（3）：234～239．

[18] 陈洪松，邵明安．中子仪的标定及其在坡地土壤水分测量中的应用．干旱地区农业研究， 2003， 21（2）：68～76．

[19] 张超，王会肖．土壤水分研究进展及简要评述．干旱地区农业研究， 2003， 21（4）：117～125．

[20] 李法虎．田间土壤水分监测方法及原理介绍．灌溉排水， 1995， 14（2）：38～41．

[21] 刘志明，张柏等．土壤水分与干旱遥感研究的进展与趋势．地球科学进展， 2003， 18（4）：576～583．

[22] 伍永秋，刘宝元等．黄土高原土壤水分的自动监测—TDR系统及其应用．水土保持学报， 2001， 15（2）：108～111．

[23] 陈怀亮，毛留喜等．遥感监测土壤水分的理论、方法及研究进展．遥感技术与应用， 1999， 14（2）：55～65 ．

[24] 杨胜天，刘昌明等．黄河流域土壤水分遥感估算．地理科学进展， 2003， 22（5）：454～462．

[25] 隋洪智，田国良．热惯量方法监测土壤水分．见：田国良主编．黄河流域典型地区遥感动态研究．北京：科学出版社， 1990．

[26] 魏振超，何离庆等．基于GIS的土壤信息系统．重庆大学学报， 2003， 26（6）：39～41．

[27] 王晓云，郭文利等．利用“3Ｓ”技术进行北京地区土壤水分监测应用技术研究．应用气象学报， 2002， 13（4）：422～429．

[28] 王政权．地统计学及在生态学中的应用．北京：科学出版社， 1999．

[29] Burgess T．M． and R．Webster． Optimal interpolation and isarithmic mapping of soil properties． Ⅰ．The semivariogram and punctual kriging． Journal of Soil Science， 1980， 31：315～331．

[30] Burgess T．M． and R．Webster． Optimal interpolation and isarithmic mapping of soil properties．Ⅱ． Block kriging．Journal of Soil Science， 1980， 31：333～341．

[31] Burgess T．M．， R．Webster．， and A．B．McBratney． Optimal interpolation and isarithmic mapping of soil properties．Ⅳ． Sampling strategy． Journal of Soil Science， 1981， 32：643～659．

[32] Burgess T．M． and R．Webster．Optimal sampling strategies for mapping soiltypies． Ⅰ．Distribution of boundary spacings． Journal of Soil Science， 1984， 35：641～654．

[33] Burrough P．A． Multiscale sources of spatial variation in soil． Ⅰ．The application of fractal concepts to nested levels of soil variation． Journal of Soil Science， 1983， 34：577～597．

[34] Burrough P．A． Multiscale sources of spatial variation in soil． Ⅱ．A non-rownian fractal model and its application in soil survey． Journal of Soil Science， 1983， 34：549～560．

[35] Webster R．Quantitative Spatial analysis of soil in the field．Advance in Soil Science， 1985， 3：1～70．

[36] Trangmar B．B．， R．S． Yost， and G． Uehara． Application of geostatistics to spatial studies of soil properties． Advanced Agronomy， 1985， 38：44～94．

[37] 侯景儒，郭光裕．矿床统计预测及地质统计学的应用及其展望．北京：冶金工业出版社， 1993．

[38] 邱扬，傅伯杰等．黄土丘陵小流域土壤物理性质的空间变异．地理学报， 2002， 57（5）：587～594．

[39] 张世熔，黄元仿等．河北曲周土壤氮素养分的时空变异特征．土壤学报， 2003， 40（3）：475～479．

[40] 张世熔，黄元仿等．黄淮海冲积平原区土壤有机质时空变异特征．生态学报， 2002， 22（12）：2041～2047．

[41] 张世熔，黄元仿等．黄淮海冲积平原区土壤速效磷、钾的时空变异特征．植物营养与肥料学报， 2003， 9（1）：3～8．

[42] 杨玉玲，文启凯等．土壤空间变异研究现状及展望．干旱区研究， 2001， 18（2）：50～55．

[43] 区美美，王建武．土壤空间变异研究进展．土壤， 2003，（1）：30～33．

[44] 高鹭，陈素英等．喷灌条件下农田土壤水分的空间变异性研究．地理科学进展， 2002， 21（6）：609～615．

[45] M．Herbst， B．DiekkRuger． Modeling the spatial variability of soil moisture in a micro-scale catchment and comparison with field data using geostatistics． Physics and Chemistry of the Earth． 2003， 28： 239～245．

[46] 黄奕龙，陈利顶等．黄土丘陵小流域地形和土地利用对土壤水分时空格局的影响．第四纪研究， 2003， 23（3）：334～342．

[47] Yang Qiu， Bojie Fu， Jun Wang， Liding Chen． Spatial variability of soil moisture content and its relation to environmental indices in a semi-rid gally catchment of the Loess Plateau， China． Journal of Arid Environments， 2001， 49：723～750．

[48] 吕贻忠，李保国等．鄂尔多斯夏初不同地形土壤水分的空间变异．中国农业大学学报， 2002， 7（5）：38～43．

[49] 申慧娟，严昌荣等．农田土壤水分预测模型的研究进展及应用. 生态科学， 2003， 22（4）：366～370．

[50] Ulrich Callies， Andreas Rhodin， Dieter P． Eppel． A case study on variational soil moisture analysis from atmospheric observations． Journal of Hydrology， 1998：95～108．

[51] Gary C． Heathman， Patrick J． Starks， Lajpat R． Ahuja， Thomas J． Jackson． Assimilation of surface soil moisture to estimate profile soil water content．Journal of Hydrology， 2003， 279：1～17．

[52] Dyi Huey Chang， Shafiqul Islam． Estimation of Soil Physical Properties Using Remote Sensing and Artificial Neural Network． Remote Sensing of Environment， 2000， 74：534～544．

[53] Andrea Giacomelli， Ugo Bacchiega， Peter A．Troch， Marco Mancini， Evaluation of surface soil moisture distribution by means of SAR remote sensing techniques and conceptual hydrological modelling． Journal of Hydrology， 1995， 166：445～459．

[54] 郑建星，王伟宏．春季麦播期土壤墒情预报方法．黑龙江气象， 2002，（2）：5～6．

[55] 马柱国，魏和林等．中国东部区域土壤湿度的变化及其与气候变率的关系．气象学报， 2000， 58（3）：278～287．

[56] 王桂玲，高亮之．冬小麦田间土壤水分平衡动态模拟模型的研究．江苏农业学报， 1998， 14（1）：36～41．

[57] 舒素芳，高维英等．冬小麦分层农田土壤水分平衡模型．陕西气象， 2002，（2）：12～16．

[58] 申双和，周英．农田土壤水分预测模型应用研究．南京气象学院学报， 1992， 15 (4)：540～548．

[59] 罗长寿，魏朝富等．时序模型在四川盆地土壤水分动态预报中的应用．西南农业大学学报， 2002， 24（5）：464～466．

[60] 裴浩，范一大等．利用气象卫星遥感监测土壤含水量．干旱区资源与环境， 1999， 13（1）：73～76．

[61] 范爱武，刘伟等．基于ＢＰ网络的土壤水分预报研究．华中科技大学学报， 2002， 30（5）：85～87．

[62] 程殿龙，马宏志等．神经网络方法在土壤墒情预测中的应用．中国农村水利水电， 2002，（7）：6～8．

[63] 尚松浩，雷志栋等．冬小麦田间墒情预报的经验模型．农业工程学报， 2000， 16（5）：31～33．

[64] 金龙，罗莹等．农田土壤湿度的人工神经网络预报模型研究．土壤学报， 1998， 35（1）：25～32．

[65] 刘洪斌，武伟等．基于神经网络的土壤水分预测建模研究．水土保持学报， 2003， 17（5）：59～62．

Progress in Monitoring and Simulation of Soil Moisture

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