Deng Zhigang, Zhao Hongmei, Li Lin, Liu Guihua, Lin Hui, Devlin Adam Thomas
School of Software, East China Jiaotong University, Nanchang, PR China.
Key Laboratory of Wetland and Watershed Research, Ministry of Education/School of Geography and Environment, Jiangxi Normal University, Nanchang, PR China.
Heliyon. 2023 May 1;9(5):e15974. doi: 10.1016/j.heliyon.2023.e15974. eCollection 2023 May.
Most publications have focused on the cooling effect of urban inside water bodies. However, the climate adaptive characteristics of urban inside/outside water bodies is seldom studied. In this paper, three types of water bodies, i.e., urban inside water bodies, urban outside discrete water bodies and large water bodies are identified according to their relative spatial relationships with built-up areas. The climate adaptive landscape characteristics of water bodies are analyzed based on water bodies' cooling effect (WCE) inside and outside cities in the Poyang Lake and Dongting Lake regions. Seventy-three Landsat TM/OLI/TIRS images acquired from 1989 to 2019 are employed. Landscape scale characteristics of urban inside/outside water bodies are described by area, water depth, perimeter to area ratio (PARA) and distance-weighted area index (DWAI). Three temperature-related parameters are calculated to estimate the WCE in different conditions. Climate adaptive characteristics of water bodies inside/outside cities are determined by correlation and regression analysis. Results show that: 1) The long river shape, depth, orientation and fluidity of urban inside water bodies are benefit to enhance their cooling effect; 2) the distance of urban outside water bodies from built-up areas are positive correlated with their cooling effect; 3) the optimal acreage of large water bodies are >2500 km and 1111-1287.5 km for climate adaption of Poyang Lake and Dongting Lake, respectively. Simultaneously, the WCE of urban outside large water bodies is related with human activities and climate conditions. The results of our study provide a significant contribution to blue-space planning in cities, and provide insights into actionable climate adaption planning in inland large lake areas.
大多数出版物都聚焦于城市内部水体的降温效果。然而,城市内部/外部水体的气候适应性特征却鲜有研究。本文根据水体与建成区的相对空间关系,识别出三种类型的水体,即城市内部水体、城市外部离散水体和大型水体。基于鄱阳湖和洞庭湖地区城市内外水体的降温效果,分析了水体的气候适应性景观特征。使用了1989年至2019年获取的73幅陆地卫星TM/OLI/TIRS图像。通过面积、水深、周长面积比(PARA)和距离加权面积指数(DWAI)来描述城市内部/外部水体的景观尺度特征。计算了三个与温度相关的参数,以估算不同条件下的水体降温效果。通过相关性和回归分析确定城市内外水体的气候适应性特征。结果表明:1)城市内部水体的长河形状、深度、方向和流动性有利于增强其降温效果;2)城市外部水体与建成区的距离与其降温效果呈正相关;3)对于鄱阳湖和洞庭湖的气候适应而言,大型水体的最佳面积分别>2500平方公里和1111 - 1287.5平方公里。同时,城市外部大型水体的降温效果与人类活动和气候条件有关。我们的研究结果为城市蓝空间规划做出了重要贡献,并为内陆大湖地区可行的气候适应规划提供了见解。