厦门市建设用地功能区的热环境分异研究

doi:10.13249/j.cnki.sgs.2022.09.012

摘要/Abstract

摘要：

基于厦门2019年的兴趣面(Area of Interest)数据、Landsat遥感影像等多源数据，应用Logistic回归模型、空间自回归模型、衰减模型，分析各类建设用地功能区热力特征和对城市热岛影响程度及升温效应的分异规律。结果表明：各类功能区均具有高温现象。交通运输区高温现象显著，仓储区、工业区次之，居住区、公共设施区则较弱；各功能区比例均对形成城市热岛效应有正向影响，影响大小依次为：工业区>仓储区>公共管理与服务区>居住区>商业服务业区>交通运输区>公共设施区；各功能区比例均与热岛强度呈正相关关系，且空间溢出效应显著。交通运输区、商业服务业区比例对热岛强度的正向影响较强，仓储区、工业区次之，公共管理与服务区、居住区、公共设施区比例的正向影响较弱；工业区、商业服务业区、仓储区、交通运输区的升温效应比较显著。功能区面积越大，则其升温效应越显著，但大面积功能区的升温效应可能出现“饱和现象”。

关键词: 功能区, 兴趣面(AOI）, 热环境, 城市热岛, 厦门市

Abstract:

In order to reveal spatial variability of urban thermal environment in different functional regions, we identified seven types of functional regions for construction land based on multi-source data such as multi-source data such as the data of area of interest (AOI) in 2019. Landsat 8 OLI_TRIS remote sensing data was used to retrieve the land surface temperature. Logistic regression model and spatial autoregression model were applied to analyze the variability for influence of different functional regions on urban heat island effect. The multi-ring buffer and decay model were used to quantitatively analyze the variability for warming effect of functional regions. The results show the following: 1) The seven types of functional regions all have the phenomenon of high temperature. The phenomenon of high temperature in traffic region is significant, followed by storage region and industrial region, while public administration and service region, residential region and public facilities region are weak. 2) The proportion of seven types of functional regions all have a significant positive impact on the formation of urban heat island. The impact of the proportion of functional regions on the formation of urban heat island from high to low is: Industrial region>storage region>public administration and service region>residential region>commercial and service region>traffic region>public facilities region. 3) There is a positive correlation between urban heat island intensity (UHII) and the proportion of seven types of functional regions, and a spatial spillover effect is obvious. The increase of the proportion for each functional region in the local region may lead to the rise of UHII in the adjacent region. The proportion of traffic region and commercial and service region have significant positive effect on UHII, followed by storage region and industrial region, while the proportion of public administration and service region, residential region and public facilities region have weak positive effect. 4) The warming effect of industrial region, commercial and service region, storage region and traffic region are relatively prominent, while the warming effect of public administration and service region, residential region, public facilities region are inapparent. 5) There is a positively correlation between the area and the warming effect in functional regions. However, the warming effect in large functional region may be “saturated”. The warming effect of industrial region and traffic region may be more sensitive to the change for area, while the warming effect of public administration and service region, residential region and public facilities region are probably less affected by the change for area.The results of this study are conducive to provide a scientific guidance for layout of urban functional regions and the optimization of thermal environment in Xiamen City.

Key words: functional regions, area of interest (AOI), thermal environment, urban heat island, Xiamen City

中图分类号:

TU98/TP79

沈中健. 厦门市建设用地功能区的热环境分异研究[J]. 地理科学, 2022, 42(9): 1627-1637.

Shen Zhongjian. Variability of Urban Thermal Environment for Functional Regions of Construction Land in Xiamen City[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(9): 1627-1637.

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地表热环境等级	分类标准
注：LST_i为研究区域中像元i的LST数值，M为LST的平均值，S为LST的标准差。
极低温区	LST_i<M−2.5×S
低温区	M−2.5×S≤LST_i≤M−1.5×S
次低温区	M−1.5×S<LST_i≤M−0.5×S
中温区	M−0.5×S<LST_i≤M+0.5×S
次高温区	M+0.5×S<LST_i≤M+1.5×S
高温区	M+1.5×S<LST_i≤M+2.5×S
极高温区	LST_i>M+2.5×S

模型类型	模型参数	模型含义
一阶空间自回归模型	ρ≠0，θ=λ=0	空间中因变量的观测值仅受邻近区域因变量的影响
普通线性回归模型	θ≠0，ρ=λ=0	空间中因变量的观测值仅受对应自变量的影响
空间滞后模型	ρ≠0，λ=0	空间中因变量之间存在空间效应，因变量的观测值既受对应自变量的影响，也受邻近区域因变量的影响
空间误差模型	ρ=0，λ≠0	空间中因变量之间不存在空间相关性，仅考虑自变量的空间自相关性，空间中因变量的观测值同时受对应的自变量、邻近区域的自变量及因变量的影响

功能区	地表热环境等级面积比例 /%							热岛强度/℃
功能区	极低温区	低温区	次低温区	中温区	次高温区	高温区	极高温区	热岛强度/℃
居住区	0.000	0.000	0.665	14.721	47.334	35.393	1.886	3.231
公共管理与服务区	0.000	0.000	0.477	5.568	30.060	48.746	15.149	4.628
商业服务业区	0.000	0.000	0.881	9.900	38.116	43.675	7.429	3.791
工业区	0.013	0.056	0.961	7.731	23.834	42.882	24.522	4.994
仓储区	0.000	0.000	0.470	4.701	21.301	50.043	23.485	5.092
交通运输区	0.000	0.000	0.233	4.715	11.700	45.672	37.680	5.737
公共设施区	0.000	0.376	5.772	17.278	35.493	33.075	8.006	3.283

实际是否形成城市热岛	Logistic模型预测
	是否形成城市热岛		正确率/%
	0	1	正确率/%
注：—为无此项。
0	2101	117	94.725
1	1053	1434	57.660
总体百分比	—	—	75.133

变量	β	S.E.	sig.	Exp(β)
居住区比例	1.028	0.101	0.000	2.795
公共管理与服务区比例	1.115	0.146	0.000	3.048
商业服务业区比例	0.833	0.163	0.000	2.300
工业区比例	1.891	0.279	0.000	6.625
仓储区比例	1.359	0.258	0.000	3.891
交通运输区比例	0.503	0.165	0.002	1.654
公共设施区比例	0.364	0.093	0.000	1.439
常数	−0.605	0.037	0.000	0.546