Abstract:The 0-1 test method is a new binary test approach which is used for distinguishing chaotic dynamics and applying directly to time series data without the phase space reconstruction. It was proved to be an effective test after test for chaos of Chebyshev map. The 0-1 test method was used to identify the degree and spatial distribution of chaos of 83 monitoring wells with multiple timescale (5, 10, 15 and 30d) groundwater depth surveillance data series from 2001 to 2010 in Jilin city, northeast China. The results showed that multiple timescale groundwater depth surveillance data series of all monitoring wells were chaotic. The minimum K values of multiple timescale (5,10,15 and 30d) groundwater depth surveillance data were 0.9673, 0.9720, 0.9210 and 0.8863, respectively, and the maximum K values were 0.9995, 0.9996, 0.9994 and 0.9992, respectively. In addition, the spatial interpolation of their asymptotic growth rate K showed significantly spatial variability. The highest and lowest K values were mainly occurred in northern, southern part and central urban areas of Jilin city, respectively. The chaos characteristic of groundwater level was influenced by hydrology, meteorology, geology and so on. The findings demonstrated that the 0-1 test method was effective and reliable by using chaotic inspection of the Chebyshev maps and it can be very useful for reflecting the degree of chaos which had a better guiding role for the forecast of groundwater level.