| 山地高密度城市热岛效应的多约束因子格局分析与定量探测——重庆都市区案例研究 |
| |
| 引用本文： | 汪洋,杨丹,闵婕,翟非同,王雨,吴晓娇,张洪睿.山地高密度城市热岛效应的多约束因子格局分析与定量探测——重庆都市区案例研究[J].地理研究,2021,40(3):856-868. |
| |
| 作者姓名： | 汪洋 杨丹 闵婕 翟非同 王雨 吴晓娇 张洪睿 |
| |
| 作者单位： | 重庆师范大学地理与旅游学院,重庆401331;GIS应用研究重庆市高校重点实验室,重庆401331;三峡库区地表过程与环境遥感重庆市重点实验室,重庆401331;重庆师范大学地理与旅游学院,重庆401331 |
| |
| 基金项目： | 国家社会科学基金项目(19XGL027);国家自然科学基金项目(42071277);重庆市教委科学技术研究项目(KJQN202000515)。 |
| |
| 摘 要： | 城市热岛受城市地表多因素影响,山地城市的情况则更为复杂。本文以典型山地城市重庆为例,基于Landsat8 OLI/TIRS影像、高精度矢量建筑等多源空间数据,采用城市地温反演、归一化植被指数、天空开阔度建模等方法,重点针对城市建成区,通过地理探测器分析各因子对城市热岛效应的约束力。研究表明：① 在都市区全域,城市热场空间异质性显著,植被覆盖、城市表面高程和天空开阔度因子具有全局性约束力表现,建筑密度、容积率和路网距离具有局部约束力表现。② 在城市建成区内部,对城市热岛效应约束性排前三位因子分别为：植被覆盖（q=0.782）、城市表面高程（q=0.499）、建筑密度（q=0.496）;局部约束因子建筑密度、容积率和道路距离的约束力均较强,但三者差异小;天空开阔度对城市热岛的全局性影响相对较小（q<0.1）。③ 在城市建成区内部,各约束因子对城市热岛具有叠加约束效应,叠加解释度q（Xi∩Xj）均强于独立解释度,叠加q值介于0.50~0.82之间。
|
| 关 键 词： | 山地城市热岛效应 多约束因子探测 空间格局分析 地理探测器 重庆 |
| 收稿时间： | 2019-11-11 |
Spatial pattern analysis and quantitative detection of multi-factor influence for urban heat island effect in a mountainous city:A case study of Chongqing metropolitan circle |
| |
| WANG Yang,YANG Dan,MIN Jie,ZHAI Feitong,WANG Yu,WU Xiaojiao,ZHANG Hongrui.Spatial pattern analysis and quantitative detection of multi-factor influence for urban heat island effect in a mountainous city:A case study of Chongqing metropolitan circle[J].Geographical Research,2021,40(3):856-868. |
| |
| Authors: | WANG Yang YANG Dan MIN Jie ZHAI Feitong WANG Yu WU Xiaojiao ZHANG Hongrui |
| |
| Institution: | 1. School of Geography and Tourism, Chongqing Normal University, Chongqing 401331, China2. Key Laboratory of GIS Application, Chongqing Municipal Education Commission, Chongqing 401331, China3. The Three Gorges Reservoir Area Surface Processes and Remote Sensing Municipal Laboratory, Chongqing 401331, China |
| |
| Abstract: | Urban heat island effect(UHI)is affected by multiple factors on the urban surface,while the situation of a mountainous city is more complicated.To detect the cause of UHI,this article takes a typical mountainous city of Chongqing as an example.Firstly,we collected multi-source spatial data based on Landsat8 OLI/TIRS images,high-precision vector building,etc.as basic dataset.Then,the model method of urban land surface temperature retrieval(LST),normalized vegetation index(NDVI)and the sky view of factor(SVF)etc.are applied to obtain spatial pattern of each factor.Finally,with focus on the urban built-up area,the binding force of each factor on the UHI is analyzed by the method of geographic detector.Through the above steps,this study found that:(1)Around the whole metropolitan area,the spatial heterogeneity of urban thermal field is significant.From the spatial pattern of each factor,we can see that some factors,like vegetation coverage(NDVI),urban surface elevation(CSE)and the sky view of factor(SVF),have global binding performance for UHI,while others like building density(BD),building volume rate(BVR)and road network distance(RD)have local binding performance for UHI.(2)Within the urban built-up area,the top three factors influencing the spatial pattern of UHI separately are vegetation coverage(q=0.782),urban surface elevation(q=0.499)and building density(q=0.496).Besides,the local constraint factors,like building density(BD),building volume rate(BVR)and road network distance(RD),performance strong binding on UHI,yet among them show little difference.In addition,for there is no significant spatial difference in urban sky horizon within the high-density built-up area,the overall effect of the sky view factor(SVF)on urban heat island is relatively small(q<0.1).(3)Through interactive detection and analysis,the results suggested that each influencing factor shows overlapping constraints on the spatial distribution of UHI within the built-up area of the city.From the criterion q value of the factor binding force,we can see that interaction of two factors will increase the interpretation of the UHI.In other words,the superposition explanatory degree(q(Xi∩Xj)is stronger than the independent interpretation degree,whose superposition interpretation degree q value is between 0.50 and 0.82. |
| |
| Keywords: | mountainous urban heat island effect multi constraint factor detection spatial pattern analysis geographic detector Chongqing |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《地理研究》浏览原始摘要信息 |
| 点击此处可从《地理研究》下载免费的PDF全文 |
|
