## 6 Conclusions  
The wind fields characteristics on the roofs of three adjacent buildings were measured during Typhoon Meranti on the east coast of Xiamen, China to analyze the fluctuating features of the selected strong wind data in detail and investigate the relations among the high-rises in wind speed. The conclusions of this study are summarized as follows:  
(1) The three high-rise buildings have similar mean values of measured mean wind speed and direction, which enabled a comparison of the wind characteristics. The maximum mean wind speeds on the roofs of the buildings are 27.2, 15.6, and 28.9 m/s, respectively. (2) The analysis period was divided into two parts. The characteristics of the winds were investigated separately of part one for the three sites (A, B, C) and part two for two sites (A, C). Reasonable results of turbulence intensity and gust factor were obtained based on the statistics of  
Figure 17: Relations between spatial correlation coefficients for wind speed on the roofs of high-rises A and B and mean wind speed. (**a**) Longitudinal spatial correlation coefficient; (**b**) Lateral spatial correlation coefficient. sampling with mean wind speed higher than 10 m/s. When \(U\geq 10\)m/s of the synchronously recorded of buildings A, B, and C, the turbulence intensity of the three buildings changed by the same law and decreased with the increase of mean wind speed. When buildings A and C were synchronously recorded, the wind direction angle slowly changed from 55\({}^{\circ}\) to 20\({}^{\circ}\), and the wind speed slowly increased. Meanwhile, the law of building A is completely different from building C because of a super high-rise building situated north of building A. This imposed an interference effect on the upstream building, which will be considered in the next work through a wind tunnel test. The turbulence intensity on the roof of three high-rises in the along-wind direction are between 17.7% and 30.8% and greater than the terrain as specified in a relevant Chinese load (GB50009-2012) changing from Class A to D. This result can be explained by the interference in the building cluster. The mean longitudinal and lateral gust factors for building A were 1.428 and 0.356, 1.485 and 0.351 for building B, and 1.319 and 0.225 for building C. The along-wind turbulent integral scale distribution area of building A is (115 m, 636 m), building B is (10 m, 524 m), and building C is (102 m, 403 m). The measured values of buildings A and C were consistent with the values estimated by ASCE-7 and AIJ-2004. When the plane size of the buildings is similar, aerodynamic interference occurs between buildings, and the plane size of the three buildings are the same. Building B is between two buildings which explains its small turbulence integral scale. (3) The relations between gust factor and turbulence intensity were investigated. The gust factor increases with increasing turbulence intensity. The relations are fitted by using two methods, and small differences are observed. The parameters for the linear fitting method are simple and easy to compare with other results. In addition, the variations in turbulence intensity and gust factor with gust duration were evaluated. The fitting parameters \(k_{u}\) and \(k_{v}\), recommended as 0.356 and 0.342, are mainly affected by short-term wind fluctuation. (4) The wind spectrum of two high-rises is plotted and compared with the von [PERSON] model. The wind spectrum in the longitudinal direction agrees with the von Karman model. (5) The spatial correlation in wind speed between buildings A and B is evaluated. Wind speed remarkably affected the spatial correlation coefficient for longitudinal fluctuating wind speed. The spatial correlation coefficient for fluctuating wind speed in the across-wind direction hardly changes with increasing mean wind speed.