Abstract
Global climate change has given rise to disastrous heavy rainfall during typhoon seasons, wreaking havoc on our living environments. The electric power transmission lines in Taiwan are spread throughout the island, while some towers are located in high-altitude mountains, calling for good early warning and monitoring mechanisms in the face of natural disasters. This study integrates the QPESUMS radar echo system adopted by the Central Weather Bureau to develop an automatic real-time rainfall estimation and monitoring system, which takes advantage of intelligent agents to handle the massive volume of rainfall information for analysis. Rainfall estimation using adaptive algorithms monitoring the rainfall fluctuations at remote towers can provide maintenance crews with real-time information for timely repairs.
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Beehler ME (1997) Reliability centered maintenance for transmission systems. IEEE Trans Power Delivery:1023–1028
Brands E (1974) Radar rainfall pattern optimizing technique. NOAA Teach, Memo, ERL NSSL-67, Oklahoma, pp 16
Wilson JW (1970) Integration of radar and raingague data for improved rainfall measurement. J Appl Meteor 9:189–497
Yu PS (1987) Real-time grid based distributed rainfall-runoff model for flood forecasting with weather radar. Ph.D. Thesis, University of Birmingham
Collier CG (1996) Weather radar precipitation data and their use in hydrological modeling. In: Abbott MB, Refsgaard JC (eds) Distributed hydrological modeling. Kluwer Academic Publishers, Dordrecht, Chap. 8, pp 143–163
Bell VA, Moore RJ (1998) A grid-based distributed flood forecasting model for use weather radar data. Part 2: case studies, hydrology and earth system sciences, vol 2. (2–3), pp 283–298
Corral C, Sempere-Torres D, Revilla M, Berenguer M (2000) A semi-distributed hydrological model using rainfall estimates by radar, application to Mediterranean basins. Part B: Physics and Chemistry of the Earth
Bedient Philip B, Holder Anthony, Benavides Jude A, Vieux Baxter E (2003) Radar-based flood warning system applied to tropical storm allison. J Hydrol Eng 8(6):308–318
Burrough PA, McDonnell RA (1998) Principles of geographical information systems. Oxford University Press, New York
Carter MM, Elsner JB, Bennett SP (2000) A quantitative precipitation forecast experiment for Puerto Rico. J Hydrol 239:162–178
Chiou TK, Chen CR, Chang PL (2005) Status and outlook of a quantitative rainfall estimation technique in central weather bureau. Taiwan, Geophysical Research Abstracts, vol 7, 10637
Goovaerts P (2000) Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall. J Hydrol 228:113–129
George YL, Wong DW (2008) An adaptive inverse-distance weighting spatial interpolation technique. J Comput Geosci 34:1044–1055
Buytaert W, Celleri R, Willems P, Bievre BD, Wyseure G (2006) Spatial and temporal rainfall variability in mountainous areas: a case study from the south Ecuadorian Andes. J Hydrol 329:413–421
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Chang, RC., Tsai, TS., Yao, L. (2013). Intelligent Rainfall Monitoring System for Efficient Electric Power Transmission. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_81
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DOI: https://doi.org/10.1007/978-94-007-6996-0_81
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