利用染色示踪和图像处理技术对土壤大孔隙进行定量研究

Quantitative Study on Soil Macropores by Dye Tracing and Image Processing

以太湖地区水稻土为例介绍了染色示踪和图像处理技术在土壤大孔隙定量化研究中的应用。剖面染色的区域是孔隙存在的地方,孔隙的孔径越大,充斥的染料溶液就越多,所染的颜色就越深。据此利用地理信息系统软件ArcGIS和遥感图像处理软件ERDAS对土壤剖面图像进行处理并进行颜色分级。从分级结果中提取代表土壤大孔隙的部分,计算大孔隙的含量。所得结果与土壤各层次的孔隙度、黏粒含量、饱和导水率变化趋势有很好的一致性。并且本文还对染色示踪法土壤孔隙定量的影响因素进行讨论。

With the paddy soil from the Tai Lake Region as a case for study, an introduction was presented to the application of the technique of dye tracing and image processing to quantitative study of soil macropores. Stained regions in the soil profile are places where soil pores exist. The bigger the aperture of a pore is, the more the dye solution inpours, and the darker the color of the stained region is. Images of soil profiles were processed with the GIS software, ArcGIS, and remote sensing image processing software ERDAS for color classification. Stained portions which represent macropores were picked out for computing the macropore contents. Results of the computation consist with the variation of soil porosity, soil clay content and soil saturated conductivity from top to bottom of the soil profile. Also factors that influence soil pore quantification were discussed.