Evidence map›Paper›PMID 40148526›Full record

ArticleScientific reports2025

Climatology of Tehran surface heat Island: a satellite-based spatial analysis.

Motahhareh Zargari, Abbas Mofidi, Alireza Entezari, Mohammad Baaghideh

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Motahhareh ZargariHakim Sabzevari University, Sabzevar, Iran. motahharehzargari@yahoo.com.
Abbas MofidiFerdowsi University of Mashhad, Mashhad, 9177948974, Iran. abbasmofidi@um.ac.ir.
Alireza EntezariHakim Sabzevari University, Sabzevar, Iran.
Mohammad BaaghidehHakim Sabzevari University, Sabzevar, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With a population nearing 15 million, the metropolitan area of Tehran faces numerous environmental challenges due to inadequate urban strategies and hasty, ineffective planning. The primary objective of this research is to investigate the Urban Heat Island (UHI) climatology in the metropolis of Tehran. To achieve this, daily Land Surface Temperature (LST) data from the MODIS-Aqua, with a spatial resolution of 1 km, was utilized over a 19-year period (2003-2021). This study delves into various climatic characteristics, including the urban-rural temperature difference, urban heat hotspots, the structure of the Surface Urban Heat Island (SUHI), trends in LST changes, and the roles of elevation and vegetation cover in the spatial distribution of LST, at both monthly and annual scales. Findings reveal that, compared to daytime Aqua-MODIS LST data, nighttime data provides a more reliable means of detecting and studying the SUHI in Tehran throughout the year. Additionally, the employment of nighttime data significantly reduces seasonal variations and month-to-month fluctuations in the temperature difference between the urban warm core and surrounding areas in Tehran. A climatological analysis of nighttime LST revealed a mean annual temperature difference of 6.17 °C between Tehran and its surrounding suburbs. This difference fluctuated monthly, ranging from a minimum of 5.73 °C in November to a maximum of 6.49 °C in September. Overall, the smallest temperature differences occurred during autumn and spring, while the largest differences were observed in summer. However, autumn and summer exhibited the greatest and least interannual variability, respectively. Furthermore, over the 19-year period, the annual temperature difference between the urban and suburban areas ranged from a minimum of 5.09 °C (2020) to a maximum of 6.70 °C (2008). The SUHI analysis suggests that Tehran, due to its surrounding mountainous terrain and numerous suburban developments, does not exhibit a classic UHI with a pronounced temperature difference. Moreover, the results indicate a rising temperature trend in the city. Specifically, the second decade of the study period witnessed a notable increase in positive LST anomalies within Tehran. The analysis reveals a significant increase in Tehran's surface temperature, with a rate of 0.74 °C per decade, amounting to a total increase of 1.48 °C. Concurrently, a discernible upward trend in the temperature differential between the urban and suburban areas has been observed over the last two decades. A comparative study of the roles of elevation and vegetation cover in LST distribution indicates that the temperature difference between the urban and suburban areas of Tehran is more closely related to elevation changes than to vegetation distribution.

Indexed as

ElevationHotspotsLSTMODIS aquaNDVISUHITehran

Identifiers

PMID40148526
PMCPMC11950196

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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.