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研究以乌尔禾区为研究区,利用3S技术对研究区遥感影像进行分类、土壤采集以及对不同土地利用方式下土壤化学性质空间分布规律进行分析。结果表明:①土层深度小于20cm的土地利用方式下,有效P表现为其他用地最大;有效N表现为交通运输用地最大;有效K表现为其他用地最大;总盐度表现为其他用地最大;有机质含量表现为交通运输用地最大;pH表现为住宅用地最大。土层深度大于20cm的土地利用方式下,有效P表现为其他用地最大;有效N表现为交通运输用地最大;有效K表现为其他用地最大;总盐度表现为交通运输用地最大;有机质含量表现为林地最大;pH表现为住宅用地最大。②运用经典地统计学法对有效P,有效N有效K,总盐,有机质及pH之间进行相关性分析。结果表明,大于20cm土层中都未达到0.05的显著性水平;而小于20cm土层中有机质与pH的相关性关系达到了0.05的显著性水平(R=-0.812),总盐与有效P的相关性关系达到了0.01的显著性水平(R=0.882)。
The study took Wuerhe as the research area, using 3S technology to classify the remote sensing images in the study area, collecting soil and analyzing the spatial distribution of soil chemical properties under different land use patterns. The results showed that: ① Under the land use pattern with soil depth less than 20cm, the effective P was the largest in other land use types; the effective N was the largest land for transportation; the effective K was the largest in other land use types; the total salinity was the largest in other land use types; Content showed the largest transport land use; pH showed the largest residential land. Under the land use pattern with soil depth greater than 20 cm, the effective P is the largest for other land use types; the effective N is the largest for transportation; the effective K is for other land use types; the total salinity shows the largest land for transportation; the organic matter content is Woodland largest; pH showed the largest residential land. ② Using classical statistical methods to analyze the correlation between effective P, available N effective K, total salt, organic matter and pH. The results showed that the significance level of 0.05 was not reached in more than 20 cm soil layer, while the correlation of organic matter and pH in soil less than 20 cm reached 0.05 significant level (R = -0.812) The correlation reached a significant level of 0.01 (R = 0.882).