The multiple linear regression method was used to analyze the correlation between the resistivity of the Changli Station and meteorological factors(temperature,pressure,and precipitation).The multi-year data show that the temperature has the largest influence coefficient,followed by pressure and precipitation.The correlation analysis between the multipole distance observation results of earth resistivity and groundwater level from 2015 to 2016 shows that the ground resistivity of each layer has a negative correlation with the shallow water level.The most surface resistivity has the best synchronization with the shallow water level without annual change,which mainly reflects the dynamic change of the surface aquifer.With the increase of detection depth,the yearly variation of ground resistivity is gradually obvious,higher in winter and lower in summer.
维普
万方数据