Spatial modeling of an urban Brazilian heat island in a tropical continental climate

Dorigon, Larissa Piffer; Amorim, Margarete Cristiane de Costa Trindade

doi:10.1016/j.uclim.2019.100461

Cited by 31 publications

(10 citation statements)

References 13 publications

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“…Cluster 4 entails research on urban heat islands, heat stress, and urban morphology, whose findings are more pertinent to urban planning. This cluster comprehends 5 common terms: “heat island,” “heat stress,” “thermal field,” “urban morphology,” and “vegetation.” Both Abreu-Harbich et al ( 2014 ) and Dorigon et al ( 2019 ) scored 3 out of the 5 common terms, and both present findings related to bioclimate in cities and list strategies to be pursued by climate-response urban planning (Abreu-Harbich et al 2014 ; Dorigon et al 2019 ).…”

Section: Resultsmentioning

confidence: 67%

A first approach to human biometeorology research in Brazil: a systematic review and meta-analysis

et al. 2022

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This systematic review aims to give an overview of the diversity of research areas related to human biometeorology in Brazil. The main focus of this paper addresses research trends, represented by published papers with national and international authorship, main contributions and shortcomings, as well as challenges and prospects of research in this area of study. An extensive literature search was conducted in the Scopus, Web of Science, and Science Direct databases so as to identify relevant publication output up to July 2021 related to the research area. The screening resulted in 96 studies chosen for full-text reading. Overall, results indicated a reduced amount of articles on the subject matter published internationally, with noticeable gaps in research in some regions of the country, such as the Amazon region and in the Brazilian Midwest region. Research gaps in relevant areas have been identified with limited output in the climate dimensions of tourism, vector-borne diseases, mortality and morbidity in urban centers. Such gaps should further encourage researchers to engage in research focused on those areas.

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Section: Resultsmentioning

confidence: 67%

A first approach to human biometeorology research in Brazil: a systematic review and meta-analysis

et al. 2022

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“…Banyak penelitian telah menjelaskan tentang bagaimana perubahan tutupan lahan mempengaruhi suhu permukaan objek. Pembangunan kawasan menjadi lahan terbangun adalah penyebab meningkatnya suhu permukaan pada perkotaan dan memicu perubahan iklim (Dorigon and Amorim, 2019). Lahan terbangun tidak hanya kawasan permukiman, tetapi jalan yang menghubungkan antar wilayah memicu terjadinya peningkatan suhu permukaan.…”

Section: Pendahuluanunclassified

Hubungan Kategori Tutupan Lahan Dan Suhu Permukaan Menggunakan Landsat 8

Fawzi¹

2019

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“…Changes in surface coverage and landscape patterns caused by rapid urbanisation result in land Surface Temperature. It is clearly defined as the higher temperatures of the central urban location compared to the nearby areas of similar elevation (Dorigon & Amorim, 2019). The United States Environmental Protection Agency (EPA) (2008) describing two types of heat islands: surface heat islands (SUHI) can be found at any time of day or night, although they are most prevalent during the day when the sun is shining and atmospheric heat islands when an urban area is warmer than nearby rural surroundings.…”

Section: Introductionmentioning

confidence: 99%

Land cover changes impact on 1st between 1990-2005-2020 in Bandar Lampung City, Indonesia

Pramudiyasari

Wibowo

Suko

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Urban areas with low vegetation trigger an increase in LST, while areas with dominant vegetation trigger a decrease in LST. Green space can produce shadows covering the earth’s surface to prevent heat radiation directly from the sun, while land expansion for residential, office, industrial, urban purposes, causing an increase in LST >30°C. The study is to analyse the distribution and relationship between NDBI, NDVI and LST in Bandar Lampung City using Landsat 5, Landsat 7 and Landsat 8 data from 1990 to 2020. There has been an increasing distribution of LST, which tends to the outskirts of the central city to the northwest, north and east from the centre of Bandar Lampung City. Although it is not significant to the maximum temperature, thus saw from the wide distribution of the LST region >30°C. Landcover changes based on NDVI and NDBI in 1990 tended to be low to moderate, while 2005 was moderate to strong and 2020 was strong. This relation indicates that the land cover change from vegetated land to built-up land affects the expansion of the LST area in 2020 compared to 1990 and 2005. The result concluded that the average LST trend from 1990 to 2020, increasing 4,5°C.

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Spatial modeling of an urban Brazilian heat island in a tropical continental climate

Cited by 31 publications

References 13 publications

A first approach to human biometeorology research in Brazil: a systematic review and meta-analysis

A first approach to human biometeorology research in Brazil: a systematic review and meta-analysis

Hubungan Kategori Tutupan Lahan Dan Suhu Permukaan Menggunakan Landsat 8

Land cover changes impact on 1st between 1990-2005-2020 in Bandar Lampung City, Indonesia

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