近年來能源短缺的問題，使得綠色能源受到重視，其中風能為重要的項目之一，為了能得到可觀的風力發電量導致離岸風場的發展快速，使得風資源評估以及風力資料量測變得相當重要，而傳統的現場量測儀器為氣象塔上的杯式風速計、螺旋槳式風速計、超音生波風速計以及風向標，但是這些儀器只能量測固定高層的風力資料。隨著風機尺寸越來越大，導致建造氣象塔的成本以及難度增加，故現今許多研究學者使用固定式光達(Lidar)進行現場量測並與傳統風速計進行交叉驗證，但是這些研究文獻多半在一般的氣候條件下所進行的，鮮少在極端氣候(例如:颱風)下量測，所以本研究在颱風Megi、Meranti、Nepart、Soudelor下將固定式光達佈署在國立成功大學校園內進行現場量測，並且與台南氣象站的傳統儀器交叉驗證。
本研究使用Windcube V2 Lidar儀器進行垂直高度風速量測，由於成大校園與台南氣象站的兩側量測高度不同，所以我們使用Lidar的資料藉由Power Law進行一階線性回歸分析求得與台南測站相同高度的風力資料進行驗證，其驗證結果顯示在颱風氣候條件下使用Lidar量測風力資料並與台南測站進行比較的結果是可被接受的，除了上述驗證之外，本研究使用Power Law和Log Law求出風速剖面並探討颱風的風力特性，最後提供在颱風條件下的α值、表面粗糙度、紊流強度等範圍。

Recently, green energy receives a lot of attention due to a problem with an energy shortage. The wind energy plays an important role in green energy. To obtain a large amount of power generation, the wind farm in offshore is rapid development, which leads to wind farm evaluation and wind measurement becomes more important. For tTraditional field measurement, it is usually used adopted cup anemometer, propellerR.M. Young anemometer, and wind vane installed on the meteorological mast to collect the wind data. These traditional instruments can measure wind data at fixed heights. But, dDue to the cost of wind turbines increases with the size of wind turbines, light detection and ranging (Lidar) is used to the field measurement by researchers. Confirming the accuracy of the Lidar, the wind data from Lidar is used to validate with traditional instruments (i.e., cup anemometer, propeller anemometer, sonic anemometer, and wind vane). However, the literature of the measured wind data by using the Lidar during typhoon events is very lack. Therefore, this study focus on using Lidar for the field measurement during typhoons of Megi, Meranti, Nepartak, and Soudelor to validate with a R.M. Youngpropeller anemometer installed on Tainan weather Weather stationStation(TWS). In this study, we deploy Windcube V2 Lidar in National Cheng Kung University (NCKU) campus to collect instantaneous wind data, which is converted to radial wind data with Doppler effect. The radial wind data along laser beams from the Lidar is used to converted horizontal wind data, such as wind speed or wind direction. Due to differentce measurement heights between the Lidar and TWS, the wind data from the Lidar performs linear regression analysis with power law to obtain wind data at the same measured height as TWS. Then, the wind data from the linear regression analysis is used for validation with the wind data from the R.M. Youngpropeller anemometer and wind vane installed on TWS. The results show that the validation wind data between the Lidar and the R.M. Young anemometer is acceptable during the typhoon events. In addition to the validation, this study uses the power law and log law to obtain wind speed profiles during the typhoon events to discuss wind conditions about typhoons which are the ranges of α, surface roughness, and turbulence intensity.

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