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    添加矿化垃圾腐殖土对绿化土壤物理特性的影响

    Effects of adding humus from aged refuse on physical properties of landscaping soil

    • 摘要: 矿化垃圾腐殖土作为绿化基质使用可以增加土壤中有机质及养分质量分数,但同时可能会对土壤物理及水分特性造成影响。运用土壤物理及水动力学方法,通过不同矿化垃圾质量添加比(0%、25%、50%、75%)进行田间、室内对比试验,比较不同配比对土壤物理性质和水分特性的影响。结果表明:1)添加矿化垃圾腐殖土质量比为25%时,土壤物理性质(密度、孔隙度等)和水分特性均无明显变化,仅土壤砂粒体积分数增加;添加比为50%时,土壤密度、毛管孔隙度和饱和含水率均无显著变化,但土壤总孔隙度明显降低,土壤砂粒体积分数及饱和导水率显著升高;添加比为 75%时,土壤物理性质和水分特性均影响显著,其中土壤砂粒体积分数升高约217%,土壤饱和含水量降低11%,毛管含水量降低26%,土壤饱和导水率增加约93%,土壤有效水含量减少24.9%;2)Gardner 模型能较好地拟合不同处理土壤水分特征曲线;3)添加矿化垃圾腐殖土在作为绿化基质使用过程中,质量添加比为25% ~50%较适宜。

       

      Abstract: Humus soil from aged refuse, as a green matrix, could increase contents of soil organic matters and nutrients, but will also have certain effects on soil physical and water properties. In this study, we compared the soil physical and water properties after adding different proportions of aged refuse and soil (0%, 25%, 50% and 75%) in the field and lab with soil physics and hydrodynamics methods. The results showed that: 1) When the mass proportion of aged refuse and soil was 25%, soil physical properties (density, porosity, etc. ) and water characteristics were not significantly changed except that the soil sand content was increased. When the proportion was 50%, soil density, capillary porosity and water saturation rate had no significant changes, but the total soil porosity decreased evidently and the soil sand content and saturated hydraulic conductivity increased significantly. Soil physical properties and water features were significantly affected at the proportion of 75%, and compared with the control, the soil sand content increased by 217%, the soil saturated moisture content decreased by 11%, the capillary water content decreased by 26%, the soil saturated hydraulic conductivity increased by 93%, and the amount of soil available water reduced by 24.9%. 2) The Gardner model fitted well with soil water characteristic curves for different treatments. 3) Addition of aged refuse in a mass proportion rangeof 25% to 50% to the soil as green matrix was more appropriate.

       

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