基于O-ring统计的公路边坡土壤优先流路径分布分析

发布时间：2019-04-04 18:25

【摘要】：引入优先流理论分析氯盐污染物在边坡土壤中的迁移机制,对揭示公路工业盐污染物迁移规律和保护路域环境具有重要意义。以鹤大高速低路基公路边坡土壤为例,采用染色示踪试验对土壤优先流路径的位置进行确定,并应用景观生态学中的空间点格局分析方法O-ring统计,对不同影响半径土壤优先流路径水平分布特征及其空间关联性进行分析。结果表明:边坡土壤优先流路径发育深度可达40 cm;相同影响半径优先流路径的数量随着土层深度的增加而减少,同一土层优先流路径的数量随影响半径的增大逐渐减少;随着影响半径的增加,聚集分布趋于显著;不同影响半径的优先流路径之间的关联性相对独立。O-ring统计,能从统计学角度量化分析土壤优先流路径的分布特征,丰富了优先流的研究方法。
[Abstract]:The introduction of preferential flow theory to analyze the transport mechanism of chloride pollutants in slope soil is of great significance to reveal the transport law of salt pollutants in highway industry and to protect the road environment. Taking the slope soil of Heda highway with low roadbed as an example, the location of soil priority flow path was determined by dyeing tracer test, and the spatial point pattern analysis method of landscape ecology was applied to O-ring statistics. The horizontal distribution characteristics and spatial correlation of soil preferential flow paths with different influence radius were analyzed. The results show that the number of preferential flow paths of the same influence radius decreases with the increase of soil depth, and the number of preferential flow paths of the same soil layer decreases gradually with the increase of the influence radius of the soil preferential flow path of the same soil layer as the depth of soil preferential flow path grows up to 40 cm;. With the increase of the influence radius, the aggregation distribution tends to be significant. The correlation between priority flow paths with different influence radius is relatively independent. O-ring statistics can quantitatively analyze the distribution characteristics of soil priority flow paths from a statistical point of view, which enriches the research methods of priority flows.
【作者单位】：北京林业大学水土保持学院;交通运输部科学研究院;
【基金】：国家自然科学基金资助项目(41271300、30900866) 中央级公益性科研院所基本科研业务费项目(20140601)
【分类号】：S152.7

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