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      How does 2D and 3D of urban morphology affect the seasonal land surface temperature in Island City? A block-scale perspective

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          Highlights

          • The seasonal variation characteristics of urban block types (UBTs) to land surface temperature (LST) in island cities were explored.

          • The influence of urban morphology factors of island cities on LST was different from that of land cities.

          • There were seasonal differences in the correlation between two-dimensional (2D) and three-dimensional (3D) urban morphology factors and LST in island cities.

          • The contribution of urban morphology factors to seasonal LSTs were compared under different UBTs in Xiamen Island.

          • More attention should be paid to identifying the differences between island cities and land cities.

          Abstract

          The global climate warming caused by urbanization has significantly affected the urban environment. Whilst land surface temperature (LST) is an important factor reflecting urban temperature, previous research on LST mostly focused on two-dimensional (2D) factors and rarely mentioned about the role of three-dimensional (3D) factors, particularly the LST variation characteristics of island cities. Therefore, this study examined the seasonal variation characteristics of urban LST by analyzing the impact of 2D and 3D urban morphology factors of different urban block types on LST in Xiamen Island. The main results are as follows. First, compact low layer (CL), a block type with a higher density of low-rise buildings, has a higher LST in any season. Under the same block density (BD), the higher the block average height (BH), the lower the LST. Second, among the 2D urban morphology factors, normalized difference vegetation index (NDVI) was the main factor for cities to reduce urban LST, especially in summer, while normalized difference built-up index (NDBI) was the opposite. Different from land cities, we found a positive correlation between modified normalized difference water body index (MNDWI) and LST in autumn and winter. Third, in the 3D urban morphology factors, sky view factor (SVF) was significantly positively correlated with LST, while building fluctuation (BF) was negatively correlated. The higher the SVF, the worse the radiation shielding effect between buildings. On the contrary, the higher the BF, the higher the building undulation, and the better the building radiation shielding. These findings should provide some quantitative insights for the future construction and planning of island cities, which can be used to improve the thermal environment of island cities and support the sustainable development of cities.

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          Most cited references60

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          Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies

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            Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method

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              Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons: A boosted regression tree approach.

              Understanding how complex urban factors affect the Urban Heat Island (UHI) is crucial for assessing the impacts of urban planning and environmental management on the thermal environment. This paper investigates the relationships between two-dimensional (2D) and three-dimensional (3D) factors and land surface temperatures (LST) within the Olympic Area of Beijing in different seasons, using the boosted regression tree (BRT) model. The BRT model captures the specific contributions of each urban factor to LST in each season and across a continuum of magnitudes for this factor. The results show that these relationships are complex and highly nonlinear. The four most common dominant factors are the Normalized Difference Built-up Index (NDBI), the Normalized Difference Vegetation Index (NDVI), a gravity index for parks (GPI), and average building height (BH). The most important factor in spring is NDBI, with a 45.5% contribution rate. In the other seasons, NDVI is the dominant factor, with contributions of 40% in summer, 21% in autumn, and 19% in winter. NDVI has an overall negative impact on LST in spring and summer, with a quadratic nonlinear decreasing curve, but a positive one in autumn and winter. The 2D land-use variables are most strongly related to LST in summer and spring, but 3D building-related variables have stronger impacts in colder weather. The Sky View Factor (SVF), a 3D measure of urban morphology, has also strong impacts in summer and winter. Both a building-based and a DSM-based SVFs are computed. The latter accounts for buildings, bridges, and trees. In contrast to a building-based SVF, the DSM-based SVF reduces LST when it varies between 0 and 0.75, reflecting the effects of high-density tree canopies that increase shades and evapotranspiration while blocking sky view. The marginal effect curves produced by the BRT are often characterized by thresholds. For instance, the maximal NDVI effect in summer takes place when NDVI = 0.7, suggesting that a very intense green coverage is not necessary to achieve maximal thermal results. Implications for urban planning and environmental management are outlined, including the increased use of evergreen trees that provide thermal benefits in both summer and winter.
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                Author and article information

                Contributors
                Journal
                Ecol Indic
                Ecol Indic
                Ecological Indicators
                Elsevier Science
                1470-160X
                1872-7034
                1 June 2023
                June 2023
                : 150
                : 110221
                Affiliations
                [a ]College of Architecture and Urban Planning, Fujian University of Technology, 350108 Fuzhou, Fujian, China
                [b ]College of Aandscape Architecture and Art, Fujian Agriculture and Forestry University, 350002 Fuzhou, Fujian, China
                [c ]University Key Lab for Geomatics Technology and Optimize Resources Utilization in Fujian Province, Fuzhou 350002, China
                Author notes
                [* ]Corresponding authors at: College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou 350118, China. 19912151@ 123456fjut.edu.cn fjyx@ 123456fjut.edu.cn
                Article
                S1470-160X(23)00363-1 110221
                10.1016/j.ecolind.2023.110221
                10165470
                ead4b400-400a-401e-a672-395eb7d48570
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 4 November 2022
                : 28 February 2023
                : 4 April 2023
                Categories
                Article

                2d and 3d urban morphology factors,climate change,island cities,land surface temperature,urban heat island effect

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