东灵山地区辽东栎林主要土壤因子的Haar小波分解

小波分解可以区分一维信号的区域变化和局部细节，是进行土壤因子分析的一种有效方法。应用该方法对北京东灵山地区辽东栎林样带中的3个主要土壤因子指标进行Haar小波分解。结果表明：沿山下到山顶样带梯度，土壤含水量呈明显的逐步下降趋势；土壤pH值变化幅度在6.5-6.6之间，表现比较稳定；土壤有机质含量在样带中存在3个较高值区域，具有一定的复杂性。较大水平上3个土壤因子在样带的下部受到的干扰较大，在样带的中、上部受到的干扰较小；在较小水平上，土壤含水量存在不规则的周期性干扰，pH值和有机质含量受干扰的情况较为复杂，规律性不明显。低频近假信号可以有效地揭示出土壤因子在样带中的总体变化规律，高频细节信号主要反映土壤因子受其它因素干扰程度，并可以在样带上定位出现奇异性变化的区域。

Haar Wavelet Decomposition of Main Soil Factors in Liaotungensis Forest in Dongling Mountain Area

The method of wavelet decomposition can be used to analyse approximations and details of one dimension soil signal. It is an effective tool for soil factors analysis. The study on decomposition of Haar wavelet for three main soil factors in belt transect of Liaotunggensis forest in Dongling Mountain area, Beijing, was done by this method. The research results showed: along hillslope from under to upper, soil moisture decreased obviously step-by-step; pH of soil displayed relative stabilization and changed between 6.5 and 6.6; There were three parts that soil organic content had high value in belt transect. Its trend was complexity. Based on bigger levels, three soil factors got more interferences in the under parts of belt transect then that in the middle and upper parts. On lesser levels, soil moisture had irregular periodical interference and changing pH-values and organic content were quite complex and not regular in evidence. The approximation components of low-frequency indicated overall trend of soil factors in belt transect effectively. The detail components of high-frequency showed disturbed degree of soil factor by the other factors and it display location of singularity in belt transect.