Temporal and spatial variation characteristics of groundwater depth in Dengkou County
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Abstract:
This paper selected the monthly observed groundwater depth data during 1988-2013 from 17 monitoring wells at Dengkou County in the desert oasis region, and explored the temporal and spatial variation characteristics of the groundwater depth in study area during the 26 years by using kernel K-means and Empirical Mode Decomposition method. The results indicated the following findings: Firstly, 17 monitoring wells can be divided into 3 clusters. The first cluster contains 6 monitoring wells with the largest average depth of groundwater. The second cluster contains 4 monitoring wells with the second largest average depth of groundwater. The third cluster contains 7 monitoring wells with the smallest average depth of groundwater. Secondly, during the past 26 years, the groundwater depths of the first and second clusters tend to increase, respectively up by 0.014m and 0.26m. The groundwater depth of the third cluster tends to decrease, down by 0.08m. Thirdly, the groundwater depths of the three clusters basically show the same annual variation tendency.