In karst regions, due to the heterogeneous features of karst medium, the characteristics of the groundwater flow
turn to be of high complexity. Researchers have been seeking proper forecasting methods for karst water dynamic for
many years. This paper, taking the spring in Jinan as an example, using regression analysis, analyzed the factors
influencing spring water dynamic, and quantitatively evaluated the influencing coefficients of spring water level
concerning rainfall, exploitation and recharge as well as the natural decay coefficient of spring water in dry seasons. The
prediction model coupling multiple factors was built by investigating natural and anthropogenic factors influencing
groundwater level, which could be used for forecasting dynamic of spring water in Jinan. The calculated value of model
was highly coincided with the observed value. In consideration of the characteristics of uneven precipitation in Jinan, the
suitable zones and volume of artificial recharge were investigated finally, which could help to sustain the spewing of Jinan
springs significantly.