Estimation of Rainwater Quality Using GPS-derived Atmospheric Propagation Delay and Meteorological Data

Abstract

We investigated GPS-derived atmospheric propagation delays and meteorological data for estimating rainwater quality by creating a regression model using the combinatorial group method of the datahandling algorithm (COMBI GMDH). The dependent variable was the daily wet deposition, while the independent variables were zenith hydrostatic delay, zenith wet delay, daily rainfall, and daily average wind speed. The model had a coeffi cient of determination (R -day. Rainwater quality could be estimated using GPS-derived atmospheric propagation delay (APD) and meteorological data.