Evidence map›Paper›PMID 35610488›Full record

ArticleEnvironmental monitoring and assessment2022

Impact of land cover transformation on urban heat islands in Harbin, China.

Stephen Dauda Yabo, Donglei Fu, Bo Li, Xiaofei Shi, Samit Thapa, Xie Shengjin, Lu Lu, Hong Qi, Wei Zhang

Abstract read
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In one paragraph

Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Stephen Dauda YaboState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.ORCID http://orcid.org/0000-0003-0955-3608
Donglei FuState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
Bo LiState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
Xiaofei ShiState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
Samit ThapaState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
Xie ShengjinState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
Lu LuState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China.
Hong QiState Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin, China. hongqi@hit.edu.cn.
Wei ZhangSchool of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. weizhang@hit.edu.cn.

Funding

Heilongjiang Provincial Key Laboratory of Polar Environment and Ecosystem (HPKL-PEE No. 2021011)State Key Laboratory of Water Environment Simulation (No. HC202143)
6 · The paper itself

Abstract

At the local and regional climate scale, one of the most studied environmental issues is urban heat island (UHI). UHI is a thermal anomaly caused by temperature differences between urban and rural settings, which adds heat to the atmosphere and makes people feel uncomfortable. This study explores the influence of new land-cover data on UHI simulations using the high-resolution Weather Research and Forecasting (WRF) model coupled with the single-layer urban canopy model (SLUCM) in the city of Harbin. A comparison was performed between the new Tsinghua University (TU) land cover dataset with the default United States Geological Survey (USGS) and Moderate Resolution Imaging Spectroradiometer (MODIS) land cover datasets. The results of this study revealed that the new TU land cover data had better representation and more realistic land cover changes than the default datasets. The diurnal, seasonal, and long-term nighttime UHIs of air and surface temperatures were higher than the daytime UHIs for both downtown Harbin and the satellite towns. We discovered that coal-burning during winter had a significant influence on UHI in Harbin. Moreover, the results from our buffer revealed a rapid increase in the UHIs of satellite towns, thus revealing the need to focus on the effects of UHI in satellite towns in the future. Therefore, the timely updating of land cover datasets in the WRF model and implementing mitigation strategies will help improve the urban climatic comfort.

Indexed as

Environmental MonitoringHot TemperatureChinaCitiesHumansSatellite ImageryLand-cover changesSingle-layer urban canopy modelSurface energy fluxesUrban heat islandsWeather research and forecasting model

Identifiers

PMID35610488

What OpenQuestion holds

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Registered trials

None linked

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.