Evidence map›Paper›PMID 29978318›Full record

ArticleEnvironmental science and pollution research international2018

Alternative scenarios for ecological urbanizations using ENVI-met model.

Sevgi Yilmaz, Emral Mutlu, Hasan Yilmaz

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 17% of its field
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

3 citing papers in PubMed, 62 citations in OpenAlex.

  1. Analysis of winter thermal comfort conditions: street scenarios using ENVI-met model.Environmental science and pollution research international · 2021
    Article
  2. Article
  3. Street design scenarios using vegetation for sustainable thermal comfort in Erzurum, Turkey.Environmental science and pollution research international · 2021
    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

3 authors at 1 institution in 1 country.

Sevgi YilmazDepartment of Landscape Architecture, Faculty of Architecture and Design, Atatürk University, 25240, Erzurum, Turkey. sevgiy@atauni.edu.tr.ORCID http://orcid.org/0000-0001-7668-5788
Emral MutluDepartment of Landscape Architecture, Faculty of Architecture and Design, Atatürk University, 25240, Erzurum, Turkey.
Hasan YilmazDepartment of Landscape Architecture, Faculty of Architecture and Design, Atatürk University, 25240, Erzurum, Turkey.
Atatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural areas are quickly degraded by opening new settlement and industrial areas in order to meet the increasing demand of the growing population. Concreting, modification of land surfaces, complex urban structures, and depressed urban environments contribute to the formation of an Urban Heat Island (UHI). In this study, the outdoor measurements, meteorological parameters related to the thermal indices such as humidity, temperature, wind velocity, and direction for 24 h measurements, were evaluated. The ENVI-met micro-scale model was performed for evaluating alternative scenarios for winter and summer on thermal comfort for better urban environments. Meteorological parameters together with vegetation characteristics were analyzed for making possible scenarios in botanical garden

Indexed as

Models, TheoreticalThermosensingTreesUrbanizationWeatherCitiesEcologyHot TemperatureHumidityMeteorologyParks, RecreationalPlantsSeasonsTemperatureWindENVI-metOutdoor thermal comfortTreesUrban designUrban structures

Identifiers

PMID29978318
OpenAlexW2824290777

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.