圖書典藏及影音數位平台

本研究將透過現行水文氣象觀測整合平台，探討使用不同降雨資料來源及銜接不同水文分析模式之相關分析成果，另完成本署QPESUMS系統客製化建置。

The Quantitative Precipitation Estimation and Segregation Using Multiple Sensors (QPESUMS) developed by Taiwan’s Water Resources Agency (WRA) and Central Weather Bureau (CWB) can utilize meteorological radar, satellites, and rain gauge to observe data, estimate raining patterns, raining intensity, and meteorological products that can be applied to measurement of space distribution. These information will improve as the CWB advances its data analyzing skills and data quality. Additionally, relevant information has been gradually applied to the process of supervision and disaster prevention carried out by the Water Resources Agency. In order to effectively reinforce the cooperation between the WRA and CWB data and information application, this project shares the Water Resources Agency’s analytical results acquired from meteorological data with the CWB. This aims to help meteorologists better understand the WRA needs while using the data and their data application situation. As a result, this project uses FEWS_Taiwan to connect with data provided by QPESUMS and the weather forecast conducted by the CWB. It plans to further customize the calculation of precipitation at watershed areas and information acquired from water level forecasts. Ultimately, the project aims to expand the data content on the WRA website. Simultaneously, this project continues to work with the CWB, including using FEWS_Taiwan’s platform to connect their research results such as precipitation forecast skills and forecast results obtained by the satellites. These information includes data obtained from different forecast reports like MODIS’s Evapotranspiration, MODIS’s soil moisture and the CWB ARPS. In addition, CWB will continue to conduct stimulated calculation to provide the WRA more complete information that can be applied to hydrological analysis and disaster prevention works.

本研究旨在強化水利署水文氣象觀測整合平台（FEWS_Taiwan），透過整合雷達觀測資料（QPESUMS）與多種水文模式，提供客製化加值的水文氣象資訊。 研究成果包括： 1. **QPESUMS資料加值與客製化展示**：強化河川警戒水位、即時水位與預報水位展示，並完成中港溪及頭前溪集水區降雨量自動化空間內插模組建置。同時，提出頭前溪流域最佳基礎站網建議，並建立增設雨量站原則。 2. **多資料及多模式分析應用**：成功介接並驗證 CCHE1D一維水理模式，提供石門水庫、德基水庫集水區的系集流量預報資訊。此外，導入 MODIS資料與氣象局 STMAS產品，並強化平台維護，導入 GITHUB工具及 Delft-FEWS version 2015架構，以提升資訊安全與維護效率。 本研究有助於提升我國水文氣象觀測整合能力，並擴增水利署作業化水理模式的應用，以因應未來水文分析與防災應變需求。