Temporal and spatial variation characteristics of groundwater depth in Dengkou County
This paper selected the monthly observed groundwater depth data during 1988-2013 from 17 monitoring wells at Dengkou County in the desertoasis region, and explored the temporal and spatial variation characterist ics of the groundwater depth in study area during the 26 years by using kernel K-means and Empirical Mode Decomposition method. The results indica-ted the follow ing 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 cont ains 4 monitoring wells with the second largest av-erage depth of groundwater. The t hird cluster contains 7 monitoring wells w ith the smallest average depth of groundwater. Sec-ondly, during the past 26 years, the groundwater depths of The first and second clusters tend to increase, respectively up by 0. 014 m and 0. 26 m. The groundwater depth of the third cluster tends to decrease, dow n by 0. 08 m. Thirdly, The groundwater depths of the t hree clusters basically show the same annual variation tendency.
EMDkernel K-meansDengkou Countygroundwater depthtemporal and spatial variation
国家科技期刊平台
NSTL
万方数据
维普
