Examining urban-rural differences in the impact of Internet use on older adults’ depression: evidence from China

Both Internet use’s impact on depression and urban-rural disparities related to information and communication technologies(ICTs)are crucial topics in the information systems discipline.So far,limited studies have explored these topics in a comprehensive way.This study aims to explore the impact of Internet use on urban and rural older adults’depression and provide insights into how ICTs play positive roles in human behaviors.Based on data from the China Health and Retirement Longitudinal Study,we used the panel-data regression approach to examine the relationships between older adults’Internet use and depression,and adopted the propensity score matching and the difference-in-difference approach to test the robustness of our findings.We found that the influencing mechanisms behind Internet use’s impact on urban and rural older adults’depression are different.Internet use not only directly reduces rural older adults’depression but also indirectly reduces it via the mediation of social activity,while the impact of Internet use on urban older adults’depression is fully mediated by social activity.We found that Internet use exerts different impacts on urban and rural older adults’depression,and rural older adults can receive a greater benefit.

Parametric sensitivity analysis of precipitation and temperature based on multi-uncertainty quantification methods in the Weather Research and Forecasting model

Sensitivity analysis(SA) has been widely used to screen out a small number of sensitive parameters for model outputs from all adjustable parameters in weather and climate models, helping to improve model predictions by tuning the parameters. However, most parametric SA studies have focused on a single SA method and a single model output evaluation function, which makes the screened sensitive parameters less comprehensive. In addition, qualitative SA methods are often used because simulations using complex weather and climate models are time-consuming. Unlike previous SA studies, this research has systematically evaluated the sensitivity of parameters that affect precipitation and temperature simulations in the Weather Research and Forecasting(WRF) model using both qualitative and quantitative global SA methods. In the SA studies, multiple model output evaluation functions were used to conduct various SA experiments for precipitation and temperature. The results showed that five parameters(P3, P5, P7, P10, and P16) had the greatest effect on precipitation simulation results and that two parameters(P7 and P10) had the greatest effect for temperature. Using quantitative SA, the two-way interactive effect between P7 and P10 was also found to be important, especially for precipitation. The microphysics scheme had more sensitive parameters for precipitation, and P10(the multiplier for saturated soil water content) was the most sensitive parameter for both precipitation and temperature. From the ensemble simulations, preliminary results indicated that the precipitation and temperature simulation accuracies could be improved by tuning the respective sensitive parameter values, especially for simulations of moderate and heavy rain.