To quantitatively assess the influence of multiple factors on the dynamic change of ground water in the piedmont plain of the North China, this paper selected a typical well irrigation area in Luancheng of Shijiazhuang City as the study area and analyzed the main influencing factors of the dynamic changes of groundwater level from the perspective of water balance. The principal component regression analysis method was used to exclude the interaction between main influencing factors and the contribution rate of each comprehensive factor to the groundwater level rise was analyzed quantitatively. The principal component-time series model was established to predict groundwater level changes in the piedmont plain of the North China under the influence of multiple factors. The results showed that the groundwater was mainly affected by local climatic factors, local human activities and human activities in the upper reaches in Luancheng from 1994 to 2015. The contribution rate of each influence factor on the recovery of groundwater level was 11. 7%, -50. 9% and -37. 4% respectively. The main factors that played a leading role in these three aspects were the precipitation in Luancheng, sowing area of wheat and corn in Luancheng, and the population of Shijiazhuang City in the upper reaches of Luancheng. In the past 20 years, the climate change was conducive to the recovery of groundwater resources in Luancheng, but human activities played a leading role in the problem of groundwater resources.