Impacts of urban landscape pattern changes on land surface temperature in Southeast Brazil

被引:8
作者
Ribeiro, Marina Pannunzio [1 ]
Menezes, Gustavo Paixao [2 ]
Figueiredo, Gleyce K. D. A. [3 ]
de Mello, Kaline [4 ,5 ]
Valente, Roberta Averna [6 ]
机构
[1] Univ Fed Sao Carlos, Program Planning & Use Renewable Resources, Sorocaba Campus,Joao Leme Santos Rd SP-264,Km 110, Sorocaba, SP, Brazil
[2] Univ Sao Paulo, Sao Carlos Sch Engn EESC USP, 400 Trabalhador Sao Carlense Ave, Sao Carlos, Brazil
[3] Univ Campinas UNICAMP, Fac Agr Engn FEAGRI, 501 Candido Rondon Ave, Campinas, SP, Brazil
[4] Charles Darwin Univ, Res Inst Environm & Livelihoods, Ellengowan Dr, Casuarina, NT 0810, Australia
[5] CSIRO, Trop Ecosyst Res Ctr, 564 Vanderlin Dr, Berrimah, NT 0828, Australia
[6] Univ Fed Sao Carlos, Dept Environm Sci, Sorocaba Campus.Joao Leme St Rd SP 264,Km 110, Sorocaba, SP, Brazil
基金
巴西圣保罗研究基金会; 瑞典研究理事会;
关键词
Climate change; Impervious surface; Google earth engine; Extreme heat; Atlantic forest biome; RIO-DE-JANEIRO; ATLANTIC FOREST; HEAT-ISLAND; VULNERABILITY; BIODIVERSITY; CLIMATE; COVER; CONSERVATION; EXPANSION; DYNAMICS;
D O I
10.1016/j.rsase.2024.101142
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban sprawl is a global concern, considering the current climate change scenario. The conversion of natural habitats or other land uses to urban areas increases the Land Surface Temperature (LST), impacting people mainly in tropical regions, such as Brazil, where the temperature is aggravated by high air humidity. In this context, we assessed the seasonal variation of LST in response to the land-use/land-cover (LULC) changes over a large city in southwest Brazil during the last 36 years (1985-2020). We used Mapbiomas LULC data and LST retrieved from the Landsat series with the Google Earth Engine platform. The methodology involved the change detection analysis from 1985 to 2020 for all LULC types, a non-parametric Dwass-Steel-Critchlow-Fligner test to estimate the LST spatio-temporal variability over different LULC types, and a nonparametric Sperman's rho test and scatter plots to relate LST changes to the LULC patterns. The results presented areas exchanging under an intense urbanization process, wherein nearly 13% of the transitions were from agricultural to urban areas. These transitions occurred jointly with an increase in temperature for all LULC types. Forest formation registered the lowest LST and a moderate to strong negative correlation with LST in both seasons. On the other hand, urban areas showed the highest temperatures and a moderate to strong positive correlation with LST in summer. From 1985 to 2020, the mean temperature in urban (built-up) areas during the summer increased by 7 degrees C. In 2020, the mean temperature in urban areas was 32.5 degrees C and 27.8 degrees C in forested areas during the summer. The main contribution of this study is to provide evidencebased support for establishing LULC governance at the city scale. It offers essential scientific information about the detrimental impact of urban sprawl against the climate benefits of green infrastructure on the city scale, even in tropical regions with high forest fragmentation, tempera
引用
收藏
页数:14
相关论文
共 96 条
[1]   Effect of land cover composition and building configuration on land surface temperature in an urban-sprawl city, case study in Bangkok Metropolitan Area, Thailand [J].
Adulkongkaew, Tratrin ;
Satapanajaru, Tunlawit ;
Charoenhirunyingyos, Sujittra ;
Singhirunnusorn, Wichitra .
HELIYON, 2020, 6 (08)
[2]   A review of domains, approaches, methods and indicators in peri-urbanization literature [J].
Ahani, Somayeh ;
Dadashpoor, Hashem .
HABITAT INTERNATIONAL, 2021, 114
[3]  
Allen Myles., 2018, Intergovernmental Panel on Climate Change, DOI DOI 10.1017/9781009157940.001
[4]  
[Anonymous], 1970, J. Wash. Acad. Sci.
[5]  
[Anonymous], ISPRS Int. J. Geo-Inf., V9, P461, DOI [10.3390/ijgi9070461, DOI 10.3390/IJGI9070461]
[6]  
[Anonymous], 2019, Climate Change and Land: An IPCC Special Report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems, P43
[7]  
[Anonymous], 2021, WMO-No. 1290
[8]  
[Anonymous], 2016, Mudancas Climaticas e Cidades
[9]   SURVEY OF EMISSIVITY VARIABILITY IN THERMOGRAPHY OF URBAN AREAS [J].
ARTIS, DA ;
CARNAHAN, WH .
REMOTE SENSING OF ENVIRONMENT, 1982, 12 (04) :313-329
[10]  
[Barros V.R. IPCC. IPCC.], 2014, CONTRIBUTION WORKING