Evidence map›Paper›PMID 36833988›Full record

ArticleInternational journal of environmental research and public health2023

Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone.

Xinyue Wang, Zhengrui Li, Shuangxin Ding, Xiufeng Sun, Hua Qin, Jianwan Ji, Rui Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xinyue WangCollege of Horticulture and Landscape Architecture, Southwest University, Chongqing 400700, China.
Zhengrui LiChina Merchants Group, China Merchants Shekou Chengdu Region, Chengdu 610000, China.
Shuangxin DingCollege of Horticulture and Landscape Architecture, Southwest University, Chongqing 400700, China.
Xiufeng SunCollege of Horticulture and Landscape Architecture, Southwest University, Chongqing 400700, China.
Hua QinCollege of Horticulture and Landscape Architecture, Southwest University, Chongqing 400700, China.
Jianwan JiSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.ORCID 0000-0002-1996-6281
Rui ZhangNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relationship exploration between the street-greenery rate (SGR) of different street types and land surface temperature (LST) is of great significance for realizing regional sustainable development goals. Given the lack of consideration of the local climate zone concept (LCZ), Chongqing's Inner Ring region was selected as a case to assess the relationship between SGR and LST. Firstly, the LST was retrieved based on Landsat 8 imagery, which was calibrated by the atmospheric correction method; next, the street-greenery rates of different streets were calculated based on the semantic segmentation method; finally, street types were classified in detail by introducing LCZ, and the relationship between SGR and LST was investigated. The results showed that: (1) The LST spatial distribution pattern was closely related to human activity, with the high-temperature zones mainly concentrated in the core commercial areas, dense residential areas, and industrial cluster areas; (2) The average SGR values of expressways, main trunk roads, secondary trunk roads, and branch roads were 21.70%, 22.40%, 24.60%, and 26.70%, respectively. The level of SGR will decrease when the street width increases; (3) There is a negative correlation between the SGR and the LST in most streets. Among them, the LST of secondary trunk roads in low-rise and low-density built-up areas with a south-north orientation had a strong negative correlation with the SGR. Moreover, the wider the street, the higher the cooling efficiency of plants. Specifically, the LST of streets in low-rise and low-density built-up areas with south-north orientation may decrease by 1°C when the street-greenery rate is increased by 3.57%.

Indexed as

ClimateHot TemperatureCitiesCold TemperatureEnvironmental MonitoringHumansPlantsTemperatureChongqingcorrelation analysisland surface temperaturelocal climate zonestreet-greenery rate

Identifiers

PMID36833988
PMCPMC9967618

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.