ABSTRACT
Rainfall prediction plays an important role in guiding agricultural development and natural disaster prediction. However, the prediction of rainfall with many influencing factors is extremely complicated, which makes high-precision prediction very difficult. This work verify the feasibility of using GPS and BDS signals to predict rainfall, and compare their accuracy.This study proposes a neural network model based on GNSS signals to predict rainfall.The paper uses the precipitable water vapor data retrieved by Global Positioning System (GPS) and Beidou positioning system (BDS), combining with neural network algorithm, to predict the actual rainfall. The experiment proves that the assumption is feasible and experimental results show that the mean absolute error of the GPS-based prediction and BDS-based prediction are 0.2-0.25(mm) and 0.15-0.2(mm), respectively. Neural network prediction model performs well.The both results are in line with meteorological requirements, while the latter accuracy is higher.
- Y. Wang, Z. Guo, Y. Liu, H. Xu, K. Ding and D. Wen, "The study of rainfall forecast based on neural network and GPS precipitable water vapor," 2010 The 2nd Conference on Environmental Science and Information Application Technology, Wuhan, 2010, pp. 17-20, doi: 10.1109/ESIAT.2010.5568487.Google Scholar
- Xiaoming Li , "Estimation of the Precipitable Water Vapor from ground-based GPS with GAMIT/GLOBK," 2010 Second IITA International Conference on Geoscience and Remote Sensing, Qingdao, 2010, pp. 210-214, doi: 10.1109/IITA-GRS.2010.5603260.Google Scholar
- Nilsson T , Gradinarsky L . Water vapor tomography using GPS phase observations: simulation results[J]. IEEE Transactions on Geoence & Remote Sensing, 2006, 44:2927-2941.Google ScholarCross Ref
- G. Li and H. Wang, "Using GAMIT to Derive the Precipitabel Water Vapor," 2010 International Conference on Multimedia Technology, Ningbo, 2010, pp. 1-4, doi: 10.1109/ICMULT.2010.5629717.Google Scholar
- M. R. Kumar, S. Kumar Panda, D. V. Ratnam and R. Narayan Dash, "Dual-Frequency GPS Derived Precipitable Water Vapor and Comparison with ERA-Interim Reanalysis Data Over Indian stations," 2018 International Conference on Recent Innovations in Electrical, Electronics&Communication Engineering(ICRIEECE), Bhubaneswar,India,2018,pp.3196-3201,doi: 10.1109/ICRIEECE44171.2018.9008654.Google Scholar
- U. Weinbach and S. Schön, "On the correlation of tropospheric zenith path delay and station clock estimates in geodetic GNSS frequency transfer," EFTF-2010 24th European Frequency and Time Forum, Noordwijk, 2010, pp. 1-8, doi: 10.1109/EFTF.2010.6533695.Google Scholar
- S. Manandhar, Y. H. Lee and S. Dev, "GPS derived PWV for rainfall monitoring," 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, 2016, pp. 2170-2173, doi: 10.1109/IGARSS.2016.7729560.Google Scholar
- S. Areerachakul and P. Junsawang, "Rainfall-Runoff relationship for streamflow discharge forecasting by ANN modelling," World Congress on Sustainable Technologies (WCST-2014), London, 2014, pp. 27-30, doi: 10.1109/WCST.2014.7030090.Google Scholar
- A. Sachan, "Forecasting of rainfall using ANN, GPS and mteorological data," International Conference for Convergence for Technology-2014, Pune, 2014, pp. 1-4, doi: 10.1109/I2CT.2014.7092314.Google Scholar
- Z. Jiang and G. Shen, "Prediction of House Price Based on The Back Propagation N eural Network in The Keras Deep Learning Framework," 2019 6th International Conference on Systems and Informatics (ICSAI), Shanghai, China, 2019, pp. 1408-1412, doi: 10.1109/ICSAI48974.2019.9010071.Google Scholar
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