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- W3144066839 abstract "A method combined with the nonlinear least-square regression to quantitatively estimate rainfall rate over water surface from the different spectrum shapes generated by rainfall in some frequency bands was presented.About 2000 min spectrum data generated by rainfall have been collected in an open-lake in Xiamen city.As a result,the spectrum shape in 15-30 kHz is fitted to log-linear law which allows classification of rain into three categories from the spectrum slope:no rain,drizzle(rainfall rate10 mm/h)and heavy rain(rainfall rate10 mm/h).Then,rainfall detection is made and rainfall rate is quantified in drizzle time with Logistic model in the frequency bands of 2-15 kHz,and the rainfall rate in heavy rainfall also quantified with log-linear regression.Finally,all measured spectrum data are used to calculate rainfall rate with the algorithm.The results show that the estimated rainfall rates are comparably coincident with the synchronously measured ones.The average error of accumulative rainfall per min is only l%-4%." @default.
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- W3144066839 date "2011-01-01" @default.
- W3144066839 modified "2023-09-23" @default.
- W3144066839 title "A method to quantitatively estimate rainfall rate above water surface based on different spectra shapes generated by rainfall" @default.
- W3144066839 hasPublicationYear "2011" @default.
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