SPSS (Statistical Product Service Solutions) is a series of software used in statistical analysis and calculation, data mining, and so on. The correlation between climatic factors and water resource series was determined with linear regression analysis in SPSS software, and the results are shown in Table 2. These two climate factors were significantly correlated with water resources, among which water resources are negatively correlated with temperature and positively correlated with precipitation. The correlation passed the significance test, so the results are reliable. However, the correlation between water resources and temperature was much lower than that of precipitation, with the R² between temperature and water resources being approximately 0.35, while the R² between precipitation and water resources reached approximately 0.9. On the one hand, temperature affects water resources by influencing the degree of evapotranspiration, especially of surface water, and on the other hand, it can affect water resources by influencing precipitation. Precipitation falls to the ground to form surface runoff or infiltrates to become subsurface runoff, and it is one of the main sources of water resources. In contrast, precipitation has a more direct impact on water resources. Considering that the positive effect of precipitation on water resources is much greater than the negative effect of temperature on water resources, the decreasing water resources from south to north are well understood.