2023 Volume 2 Issue 1 Pages 239-245
Due to the frequent occurrence of natural disasters and the need to accurately respond to climate change, the importance of ensuring the quality of hydrological observation data, such as precipitation data, has increased in recent years. In order to ensure the quality of precipitation data, it is important to properly manage the environment around the rain-gauge station, especially the tree felling, which affects the observation data. However, there are cases where it has not been properly implemented for various reasons, and the lack of quantitative evaluation information on the effects of tree felling is one of the reasons considered.
In this paper, a regression analysis using radar rainfall as an explanatory variable was conducted in order to quantitatively evaluate the effect of tree felling around the rain-gauge station. The changes in the regression coefficients were compared and analyzed with those of neighboring stations, and it was found that precipitation data relatively increased after the tree felling. Multiple regression analysis with dummy variables and interaction terms added to the explanatory variables showed that the difference in the regression coefficients before and after the tree felling was statistically significant.
