首页|不同地貌量化参数与流域降雨侵蚀产沙关联性模拟试验研究

不同地貌量化参数与流域降雨侵蚀产沙关联性模拟试验研究

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由于不同地貌量化参数各具特色,流域土壤侵蚀预报模型中地貌因子量化参数选择目前还没有统一认识.从模拟试验人手,利用分形理论、灰色关联分析方法、GIS和高精度摄影测量技术,对小流域模型次降雨相对输沙模数及相对径流模数分别与地貌分形维数、平均坡度、沟壑密度、相对高差、地形起伏度和地面破裂度6个常用地貌量化参数的关联度进行研究.研究结果表明:地貌分形维数与小流域模型次降雨相对输沙模数及径流模数的关联度明显高于其他地貌量化参数,分别达到0.804和0.895;地貌分形维数与小流域模型次降雨侵蚀产沙的定量作用关系可用指数函数很好表达.对于促进地貌分形维数在流域土壤侵蚀预报研究中的应用,提高土壤侵蚀预报模型精度和适用性具有重要现实意义.
Correlation Characteristics Between Different Quantitative Topographical Parameters and Soil Erosion and Sediment Yield of Watershed Based On Simulated Experiment
Because the quantitative parameters of different physiognomy have their characteristic, people have not uniform standpoint about how to choose the geomorphologic factors of quantitative parameters in the soil erosion forecasting model of watershed. Through the simulated experiment, the correlation degree of relative modulus of sediment transport and runoff modulus of times rainfall in the small watershed with physiognomy fractal dimension, gully density, average gradient, relative height difference, ground rupture degree and relief were studied based on fractal geometry theory, gray incidence analysis, GIS and high precision photogrammetry. The result showed that the correlation degree between physiognomy fractal dimension and modulus of sediment transport and runoff modulus was bigger than other quantitative parameters, and the value was respectively up to 0.804 and 0.895. The quantitative relationship of physiognomy fractal dimension and sediment yield of times rainfall in the small watershed could be described by exponential function. The paper had great meaning in promoting the application of physiognomy fractal dimension in soil erosion forecasting study and improving the precision and adaptability of soil erosion forecasting model.

small watershed modelgeomorphologic quantitative parametersphysiognomy fractal dimensioncorrelation degree

王民、崔灵周、范磊、胡彩虹

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河南省水利勘测设计研究有限公司,郑州450016

温州大学生命与环境科学学院,浙江温州325027

郑州大学环境与水利学院,郑州450002

小流域模型 地貌量化参数 地貌分形维数 关联度

国家自然科学基金

51079131

2011

沈阳农业大学学报
沈阳农业大学

沈阳农业大学学报

CSTPCDCSCD北大核心
影响因子:0.667
ISSN:1000-1700
年,卷(期):2011.42(6)
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