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通过对长江河口地区耕层及犁底层土壤电导率及其影响因子的连续动态监测,利用灰色关联分析建立了长江河口地区2006~2007年耕层及犁底层土壤电导率与各影响因素间的关联度。关联度分析结果表明:耕层:地下水位埋深>蒸发量>地下水电导率>内河水电导率>降雨量>江水电导率;犁底层:地下水位埋深>地下水电导率>降雨量>蒸发量>江水电导率>内河水电导率。表明地下水位是影响耕层及犁底层土壤盐分动态最为活跃、最为直接的因素;对于耕层土壤其次是蒸发量和地下水电导率与其关联度较大,降雨增加了表层土壤盐分的淋洗,在很大程度上可降低耕层土壤盐分的含量。地下水电导率、蒸发和降雨量对犁底层土壤盐分都有很强的影响且三者比较接近。本研究表明灰色关联度分析方法简单易行是土壤盐分影响因子分析的理想方法。
Through the continuous dynamic monitoring of the soil conductivity and its influencing factors in the bottom layer of the Yangtze River estuary and the Yangtze River estuary, the gray correlation analysis was used to establish the correlation between the soil electrical conductivity and the influencing factors in the bottom layer of the plow and plow in the Yangtze River Estuary from 2006 to 2007 degree. Correlation analysis showed that: topsoil: depth of groundwater table> evaporation> conductivity of groundwater> inland water conductivity> rainfall> conductivity of river water; plow bottom: depth of groundwater table> conductivity of groundwater> rainfall> evaporation > River water conductivity> River water conductivity. It indicates that the groundwater level is the most active and direct factor influencing the soil salinity dynamics in the topsoil and plow. For topsoil followed by evapotranspiration and groundwater conductivity, the correlation with groundwater level is relatively large. Rainfall increases the salinity of surface soil, To a large extent, it can reduce the content of soil salt in topsoil. Groundwater conductivity, evaporation and rainfall have a strong effect on the salinity of the bottom plow soil and the three are relatively close. This study shows that the method of gray relational analysis is simple and convenient and is the ideal method for analyzing soil salinity.