Zhou Hong-Xuan, Pu Hong-Tong, Cui Lu-Lu, Zhou Feng-Lin, Sun Jing
School of Architecture and Design, China University of Mining and Technology, Xuzhou 221116, Jiangsu, China.
Ying Yong Sheng Tai Xue Bao. 2022 Aug;33(8):2213-2220. doi: 10.13287/j.1001-9332.202208.024.
Urban thermal environments are closely related to habitats, citizens' health, and sustainable development. Based on green view index (GVI), we proposed two new visual indices, construction view index (CVI) and imperious surface view index (R&PVI). Mobile observation was used to obtain urban thermal environment data, images and coordinates synchronously in Xuzhou City in late summer, including urban area (U), scenic area (S), exterior of university campus (E), and university campus inside (CUMT). We analyzed the impacts of the urban composition represented by the visual index on the urban thermal environment. The results showed that, along the sampling line, mean air temperature () was highest (30.42 ℃) and mean relative humidity (RH) was lowest (40.7%) in urban area, while mean was lowest (29.35 ℃) and mean RH was highest (48.4%) in scenic area. The situation of mean wind-chill temperature () was the highest (32.95 ℃) in the urban area and the lowest (31.93 ℃) in the scenic area. As for CVI, urban area, university campus inside, exterior of university campus and scenic area ranked in descending order, while GVI showed an opposite pattern. CVI was significantly positively correlated to and , but negatively to RH. GVI was significantly negatively correlated to and , but positively to RH. R&PVI was significantly positively correlated to and , but not correlated to RH. CVI and GVI influenced significantly, with the independent effects being 10.4% and 18.9%, and joint effects being 7.8% and 11.3%, respectively. As for RH, CVI and GVI contributed significantly as well, independent effects were 37.5% and 15.7%, and joint effects were 51.4% and 30.2%, respectively. As for , the three visual indices contributed significantly, but independent and joint effects were lower than those on . Moreover, visual indices contributed more on RH than or . The results could provide ideas for optimizing urban thermal environments and mitigating urban heat island effects, and have practical implications for urban renewal and improvement of the quality of human living environment.
城市热环境与栖息地、市民健康及可持续发展密切相关。基于绿视率（GVI），我们提出了两个新的视觉指标，即建筑视率（CVI）和硬质地表视率（R&PVI）。利用移动观测在夏末同步获取徐州市城市热环境数据、图像及坐标，观测区域包括市区（U）、风景区（S）、大学校园外部（E）和大学校园内部（CUMT）。我们分析了视觉指标所代表的城市构成对城市热环境的影响。结果表明，沿采样线，市区的平均气温（）最高（30.42℃），平均相对湿度（RH）最低（40.7%），而风景区的平均气温最低（29.35℃），平均相对湿度最高（48.4%）。平均风寒温度（）的情况是市区最高（32.95℃），风景区最低（31.93℃）。就CVI而言，市区、大学校园内部、大学校园外部和风景区按降序排列，而GVI则呈现相反的模式。CVI与和显著正相关，但与RH负相关。GVI与和显著负相关，但与RH正相关。R&PVI与和显著正相关，但与RH不相关。CVI和GVI对有显著影响，独立效应分别为10.4%和18.9%，联合效应分别为7.8%和11.3%。对于RH，CVI和GVI也有显著贡献，独立效应分别为37.5%和15.7%，联合效应分别为51.4%和30.2%。对于，这三个视觉指标有显著贡献，但独立效应和联合效应低于对的影响。此外，视觉指标对RH的贡献比对或的贡献更大。研究结果可为优化城市热环境和缓解城市热岛效应提供思路，对城市更新及改善人类居住环境质量具有实际意义。
