Modelling the relationships between urban land cover change and local climate regulation to estimate urban heat island effect

被引:22
|
作者
Elliot, Thomas [1 ,2 ,3 ]
Almenar, Javier Babi [1 ,4 ,5 ]
Rugani, Benedetto [1 ]
机构
[1] Luxembourg Inst Sci & Technol, Environm Res & Innovat ERIN Dept, RDI Unit Environm Sustainabil Assessment & Circul, 41 Rue Brill, L-4422 Luxembourg, Luxembourg
[2] Univ Lisbon, Inst Super Tecn, Ctr Innovat Technol & Policy Res, IN, Ave Rovisco Pais, P-1049001 Lisbon, Portugal
[3] Univ Lisbon, Inst Super Tecn, MARETEC, Av Rovisco Pais 1, P-1049001 Lisbon, Portugal
[4] Univ Bordeaux, Inst Mol Sci, F-33400 Talence, France
[5] Univ Trento, Dept Civil Environm & Mech Engn, Via Mesiano 77, I-38123 Trento, Italy
关键词
Ecosystem services; Local climate regulation; Urban heat island; Lisbon; Cellular automata; Land cover change; ECOSYSTEM SERVICES; MITIGATION; METABOLISM; INDICATOR; INDEX; CITY;
D O I
10.1016/j.ufug.2020.126650
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Urban land covers affect the thermal characteristics of the city, such as the urban heat island (UHI) effect, potentially increasing energy demand to maintain comfortable indoor and outdoor temperatures. As the land patterns change, the capacity of the landscape to regulate the UHI can change. The aim of this paper is to explore how simulating land cover changes (LCC) may affect UHI using an ecosystem service matrix approach. A LCC model, illustrated in the case study of Lisbon, Portugal, was implemented to estimate the UHI effects over time starting from the modelling of land cover changes associated with the supply of local climate regulation service. Our results show that the capacity of urban landscape to mitigate the UHI effect has decreased since 1990, and will continue to decrease slightly until 2022 although more smoothly than between 1990 and 2000. This is because no substantial land cover changes have occurred after 2000 that required the transition between highest to lowest ecosystem service supplier landscapes. The proposed modelling approach may be refined and used to aiding the decision making process for urban planners in the placement of built structures and green spaces that have the capacity to regulate local climate.
引用
收藏
页数:7
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