Abstract: Aerosol liquid water content(ALWC) and acidity(pH) are crucial factors for the research of aerosol formating mechanisms and pollution sources. Based on the online monitoring data of PM_2.5 and water-soluble ion components from the Dianshan lake in 2020, by using the ISORROPIA-II model with positive and Metastable modes for simulation analysis to investigate the diurnal and monthly variations, influencing factors, and interrelationships of ALWC and pH, and combined with the simulation of 24-hour backward trajectories of air masses in January and August for exploring the transport sources of high-concentration ALWC and pH with the help of MeteoInfo software. The results indicated the following: ① The influence of SO₄^2- and NO₃^- on aerosol pH was related to their concentrations, proportions, and ALWC, while the impact of NH₄⁺ on pH was limited. NH₄⁺ exhibited a strong positive correlation with SO₄^2- and NO₃^-, and higher pH values tended to approach the fitting curve. ② ALWC showed  lower concentrations when the concentration of PM_2.5 was below 75 μg/m³. As RH increased with increasing the concentration of PM_2.5, ALWC rose rapidly, especially when RH exceeded 80%. ③ The concentration of ALWC was highest in January, lowest in August and highest in the afternoon of one day. Its sensitivity to temperature was relatively small when the temperature was below 27℃, but as the temperature rose, ALWC gradually decreased. ④ pH was higher in winter and lower in summer, with the lowest values occurring in the afternoon within a day, possibly due to the temperature increased leading to a reduction in ALWC and a subsequent decreased in pH. ⑤ The origin and movement speed of air masses had certain influences on both ALWC and pH.