Forecasting of gage height during high water using weather radar and neural network
碩士 === 國立臺北科技大學 === 土木工程系土木與防災碩士班 === 107 === The rainfall data which is measured from the rainfall station network in the catchment area from the QPESUMS of the Central Meteorological Administration is used to evaluate the quantitative precipitation patterns applicable to the catchment area of the...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/jbk57s |
| Summary: | 碩士 === 國立臺北科技大學 === 土木工程系土木與防災碩士班 === 107 === The rainfall data which is measured from the rainfall station network in the catchment area from the QPESUMS of the Central Meteorological Administration is used to evaluate the quantitative precipitation patterns applicable to the catchment area of the Feitsui Reservoir of the Beishi River area , and using this model to forecasting the water level for the next 3 hours in the future.
This study will use the rainfall data from these observation grids to reqression of the forecasted rainfall for the next hour. Using the rainfall and branch flow data in the grid, the rainfall-runoff model is constructed with a neural network to estimate the main river water level and inflow of the future tributary to facilitate the operation of the reservoir and reduce the flood and shortage of the reservoir downstream.
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