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传统的盐碱土壤分类及含量的划分方法是通过对采样点土壤样品化验统计值来确定。因工作量大和费用高 ,通常不能对研究对象进行连续、系统的了解。提出了研究地质雷达信息与土壤含盐量、p H值、有机质含量、含水量等参数的相关关系及探测与检测技术方法。理论研究表明 ,土壤的物理和化学特性变化差异可以使探测的雷达波振幅及波形、频谱特性等波的几何学与动力学特点产生响应。研究结果显示这种方法是一种直观快速的可行方法 ,可为今后生态环境治理因素评价和遥感资料的解译提供地面探测的雷达电磁波频谱与确定不同颜色土壤单元所对应的盐碱土壤含盐量、p H值、有机质含量、含水量的依据
The classification method of traditional saline-alkali soils and the method of content classification are determined by the statistic values of soil samples in sampling sites. Due to the heavy workload and high cost, the research object can not usually be continuously and systematically understood. This paper presents a study on the correlation between the information of geologic radar and the parameters of soil salt content, p H value, organic matter content, water content and other methods of detection and detection. Theoretical studies have shown that the difference in the physical and chemical properties of the soil can respond to the geometrical and dynamic characteristics of the detected radar wave amplitude, wave form and spectral characteristics. The results show that this method is an intuitive and fast feasible method, which can provide ground-based radar electromagnetic wave spectrum for the evaluation of environmental management factors and interpretation of remote sensing data in the future, and determine the salinity-alkaline soil salt content corresponding to different color soil units Amount, p H value, organic matter content, water content basis