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首页> 外文期刊>Journal of Residuals Science & Technology >SWCC prediction Based on Arya-Paris Model of Saline Soil in Western Jilin, China
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SWCC prediction Based on Arya-Paris Model of Saline Soil in Western Jilin, China

机译：基于吉林省西部盐渍土Arya-Paris模型的SWCC预测

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摘要

The saline soil could cause a serious of damages to local construction engineering and agriculture such as frost heaving and crop failure. The relationship between water content and soil suction has great influence on soil properties, which also effect the water migration and forming of saline soil. This paper aims to the saline soil in Da’an of Western Jilin province, China, the basic properties test were taken in laboratory, and Arya-Paris prediction model were chosen to predict the soil-water characteristic curve of saline soil. The results show that the saturated water contents of location I samples are higher than location II samples, especially I-20 sample. This action can provide strong impetus take the water migrate upwards in soil, which make the saline gathered easily on ground surface and increase surface soil salinization. The results can provide theoretical support and beneficial reference for research and prediction of soil properties and forming mechanism of saline soil.
机译：盐渍土壤可能对当地的建筑工程和农业造成严重损害，例如冻胀和农作物歉收。含水量和土壤吸力之间的关系对土壤性质有很大的影响，这也影响盐碱土的水分迁移和形成。本文针对吉林省西部大安市的盐渍土，在实验室进行了基本性能试验，选择Arya-Paris预测模型对盐渍土的土壤水特征曲线进行了预测。结果表明，I区样品的饱和水含量高于II区样品，尤其是I-20样品。这种作用可以提供强大的动力，带动水在土壤中向上迁移，使盐分容易聚集在地表，并增加地表土壤盐碱化。研究结果可为研究和预测盐渍土的性质和形成机理提供理论依据和有益的参考。

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