Advances on the Influence of Vegetation and Forest on Urban Air Quality and Thermal Comfort—2nd Edition

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Urban Forestry".

Deadline for manuscript submissions: closed (15 November 2024) | Viewed by 9004

Special Issue Editors


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Guest Editor
Atmospheric Modelling Unit, Environmental Department, Research Center for Energy, Environment and Technology (CIEMAT), 28040 Madrid, Spain
Interests: urban air quality; microscale modeling; in particular with computational fluid dynamics (CFD) models; urban vegetation (trees in streets, vegetation barriers, etc.) and its effects on pollutant concentrations and thermal comfort; pollutant mitigation strategies; urban climate and meteorology
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Guest Editor
Atmospheric Pollution Division, Environmental Department, Environment and Technology (CIEMAT), 28040 Madrid, Spain
Interests: CFD methodologies; numerical model evaluation and validation; pollutant dispersion and heat transfer phenomena; urban planning; air quality and energy efficiency
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Atmospheric Modelling Unit, Department of Environment, CIEMAT, 28040 Madrid, Spain
Interests: meteorological micro and mesoscale modeling; CFD models; WRF model; urban climate; urban air quality; air pollution and heat mitigation strategies in cities
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The interaction of the atmosphere with urban surfaces (buildings, vegetation, etc.) induces complex flow patterns and a reduction in ventilation on the streets. This fact, linked with pollutant emissions (e.g., traffic emissions) gives rise to air quality problems in cities. In addition, the thermal properties of urban materials (buildings, roads) often cause elevated air temperature that leads to thermal discomfort for people. To mitigate these problems, nature-based solutions are widely used, but more knowledge about the complex effects of different types of green infrastructures is needed to design effective strategies for renaturing urban environments.

In this Special Issue, we invite original research articles relating to the impact of urban vegetation on air quality and local climate in urban environments. These contributions will include modeling studies at a micro- and meso-scale (e.g., computational fluid dynamics model, urban canopy models or mesoscale models) and experimental works from field and laboratory experiments. Urban green infrastructures such as different configurations of trees in the streets, urban parks or vegetation barriers will be investigated in relation to their effects on pollutant concentration (aerodynamic effects, pollutant deposition, biogenic emissions, etc.) and/or on local climate and thermal comfort (transpirational cooling, shading, etc.). In addition, works on new parameterization of the effects on urban vegetation are also welcomed. We also invite review papers focusing on the current knowledge and future studies on this topic.

Dr. Jose Luis Santiago
Dr. Esther Rivas
Dr. Beatriz Sanchez
Guest Editors

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Keywords

  • urban air quality and climate
  • thermal comfort
  • urban vegetation
  • trees in the streets
  • urban forests
  • vegetation barriers
  • urban parks
  • nature-based solutions

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Published Papers (6 papers)

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Editorial

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4 pages, 687 KiB  
Editorial
Advances on the Influence of Vegetation and Forest on Urban Air Quality and Thermal Comfort—Series II
by Esther Rivas, Jose-Luis Santiago and Beatriz Sánchez
Forests 2023, 14(2), 284; https://doi.org/10.3390/f14020284 - 1 Feb 2023
Viewed by 1269
Abstract
Cities are composed of different types of urban obstacles such as buildings, cars, trees, hedgerows, etc [...] Full article

Research

Jump to: Editorial

14 pages, 3200 KiB  
Article
The Added Value of Urban Trees (Tilia tomentosa Moench, Fraxinus excelsior L. and Pinus nigra J.F. Arnold) in Terms of Air Pollutant Removal
by Slaveya Petrova
Forests 2024, 15(6), 1034; https://doi.org/10.3390/f15061034 - 14 Jun 2024
Viewed by 720
Abstract
The serious densification of human settlements necessitates an increase in the role and importance of green infrastructures in the overall functioning of urban ecosystems. Accordingly, the aim of the present study was to (1) assess the efficiency of air pollutant removal (potentially toxic [...] Read more.
The serious densification of human settlements necessitates an increase in the role and importance of green infrastructures in the overall functioning of urban ecosystems. Accordingly, the aim of the present study was to (1) assess the efficiency of air pollutant removal (potentially toxic elements) of three common ornamental trees (Tilia tomentosa Moench, Fraxinus excelsior L. and Pinus nigra J.F. Arnold) and (2) model the air quality regulatory services (removal of PM10, PM2.5 and NO2). Three different approaches were applied—enrichment factor (EF) and metal accumulation factor (MAI) per tree species, as well as simulation modeling for the whole urban forest. The MAI values of the three studied species were found to be very similar, in the range of 22.35 to 23.08, which suggests that these species could be a good choice for planting in urban areas with worsened air quality. The highest EF values were observed for U (3–18), followed by As (1.6–2.56) and Sr (0.87–2.46). The potential of urban forests in countering air pollution was highlighted by three simulated scenarios for PM10, PM2.5 and NO2 removal. The highest removal efficiency was calculated for evergreen species, followed by the mixed composition of deciduous (90%) and evergreen trees (10%), and the scenario with wholly deciduous trees had the lowest one. The contribution of nature-based solutions in meeting air quality standards and enhancing resilience in urban areas was clearly demonstrated. The functional complementarity of the different functional tree groups (coniferous, evergreen and deciduous broad-leaved species) was proven to be crucial for the support of both functional stabilities of the phytocenosis under diverse climatic conditions and during the change of seasonal cycles in the vegetation. Full article
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14 pages, 1481 KiB  
Article
Nature-Based Solutions to Reduce Air Pollution: A Case Study from Plovdiv, Bulgaria, Using Trees, Herbs, Mosses and Lichens
by Slaveya Petrova, Iliana Velcheva and Bogdan Nikolov
Forests 2024, 15(6), 928; https://doi.org/10.3390/f15060928 - 26 May 2024
Viewed by 1526
Abstract
Nature-based solutions (NBSs) are becoming more and more recognized as useful instruments to address the challenges that urban areas are currently facing, i.e., climate change adaptation, flood mitigation, etc. In the present study, we aimed to: (1) compare the efficiency of mosses, lichens, [...] Read more.
Nature-based solutions (NBSs) are becoming more and more recognized as useful instruments to address the challenges that urban areas are currently facing, i.e., climate change adaptation, flood mitigation, etc. In the present study, we aimed to: (1) compare the efficiency of mosses, lichens, herbs and trees in removing pollutants from the urban air using their biomonitoring potential; (2) assess their efficiency as nature-based solutions to mitigate urban air pollution; and (3) propose a framework for implementing such NBSs in urban areas. The first step involved analyses of the concentrations of 20 potentially toxic elements in eight selected biomonitors. After that, an assessment of their removal capacity was made on the basis of elements accumulation. This is the first complex study in an urban area involving the simultaneous application of organisms of eight different species and four different systematic groups (lichenized fungi, mosses, herbaceous plants, woody species) as well as such a large number of potentially hazardous elements. The present study sheds new light on some well-known biomonitors in the context of their application for air pollution mitigation. The great potential of the eight studied plant species for efficient removal of potentially toxic elements is highlighted and their implementation into NBS frameworks is recommended. Full article
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23 pages, 43890 KiB  
Article
A Study on the Effect of Green Plot Ratio (GPR) on Urban Heat Island Intensity and Outdoor Thermal Comfort in Residential Areas
by Jian Zheng, Zilong Li and Bohong Zheng
Forests 2024, 15(3), 518; https://doi.org/10.3390/f15030518 - 11 Mar 2024
Cited by 5 | Viewed by 1629
Abstract
Greenery impacts the urban thermal environment, but the benefits of the three-dimensional green volume of space have not been effectively evaluated. In this paper, we analyzed the impact of 3D greenery on urban heat island intensity and thermal comfort in residential areas from [...] Read more.
Greenery impacts the urban thermal environment, but the benefits of the three-dimensional green volume of space have not been effectively evaluated. In this paper, we analyzed the impact of 3D greenery on urban heat island intensity and thermal comfort in residential areas from the perspective of the green plot ratio (GPR). We selected a typical residential area, set up simulation models, and then analyzed the effect of different GPR values on the outdoor thermal environment using the validated ENVI-MET simulation. The results showed that increasing GPR in residential areas can effectively reduce the intensity of urban heat island and improve thermal comfort. When the GPR reaches 0.5 and 1.5, the thermal comfort level of the building overhead space and the north–south street space decreases from “very strong thermal stress” to “strong thermal stress”. When the GPR reaches 2.5, the outdoor thermal comfort of the east–west street space and courtyard space is reduced to “hot”. When the GPR is higher than 0.5, the urban heat island intensity in the north–south street space decreases by one level, from “very strong” to “strong”. When the GPR reaches 3.5, all four types of spaces have “moderate” urban heat island intensity. Increased GPR exacerbates urban heat island intensity to some extent and worsens outdoor thermal comfort due to the nocturnal insulating effect of plants. Based on the results, the study proposes the bottom-line control of the GPR index from the perspective of urban heat island mitigation and thermal comfort improvement. This paper points out the benefits of GPR in residential areas in improving the human environment, which is of great practical value for developing urban residential environment from “increasing quantity” to “improving quality”. Full article
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26 pages, 4664 KiB  
Article
A Simulation Study of the Impact of Urban Street Greening on the Thermal Comfort in Street Canyons on Hot and Cold Days
by Junyou Liu, Bohong Zheng and Fan Yang
Forests 2023, 14(11), 2256; https://doi.org/10.3390/f14112256 - 16 Nov 2023
Cited by 1 | Viewed by 1566
Abstract
The urban heat island effect has become a widely concerning issue worldwide. Many researchers have made great efforts to improve the summer thermal comfort of urban street canyons by optimizing street greening. Relatively less research has focused on how to improve the thermal [...] Read more.
The urban heat island effect has become a widely concerning issue worldwide. Many researchers have made great efforts to improve the summer thermal comfort of urban street canyons by optimizing street greening. Relatively less research has focused on how to improve the thermal comfort of street canyons by optimizing street greening during cold days. Many researchers have proposed strategies to improve the summer thermal comfort of street canyons using road greening. This may have a significant negative impact on the winter thermal comfort of street canyons due to the lack of consideration of the impact on hot and cold days simultaneously, especially when the road green space is mainly composed of evergreen tree species. We aimed to explore the impacts of urban street greening on thermal comfort on hot and cold days at the same time. We used Zhutang West Road in Changsha, China, as an example and built six different models to explore the impacts of the street vegetation types, number of street trees, tree heights, crown widths, and Leaf Area Index on the thermal comfort of the street canyon. In addition, we also considered the impact of different building features and wind directions on the thermal comfort of the street canyon. We employed ENVI-met (version 5.5.1) to simulate different urban street greening models. The results show that the model with a high tree canopy density, tall trees, large and dense crowns, and sufficient building shade has good thermal comfort on hot days (the average physiological equivalent temperature (PET) is 31.1 °C for the study period) and bad thermal comfort on cold days (the PET is 13.3 °C) when it is compared with the other models (the average PETs are 36.2 °C, 31.5 °C, 41.5 °C, 36.2 °C, and 35.5 °C, respectively, on hot days and for other models). In addition, the model with a very large number of short hedges has a positive impact on thermal comfort during hot days (the PET is 31.1 °C). The PET value of another comparable model which does not have hedges is 31.5 °C. Even if the model with a small building area has good ventilation, the small building shade area in the model has a more obvious impact and the model has relatively good thermal comfort during cold days (the PET is 14.2 °C) when it is compared to models with bigger building areas (the PET is 13.9 °C). In summer, when the wind is parallel to the direction of the street canyon, the wind speed in the street canyon is high and the model has relatively good thermal comfort (the PET is 35.5 °C) compared with another model which has different wind direction and lower wind speed at the street canyon (the PET is 36.2 °C). In winter, when the wind is perpendicular to the direction of the street canyon, buildings and trees have a strong windproof effect and this is beneficial to the improvement of thermal comfort (the PET is 15.3 °C for this model and 13.9 °C for another comparable model). This research lays a solid foundation and encourages people to think about the impact of building and tree composition and configuration on the thermal comfort of street canyons during hot and cold days simultaneously. Full article
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18 pages, 4739 KiB  
Article
Response of Common Garden Plant Leaf Traits to Air Pollution in Urban Parks of Suzhou City (China)
by Zhiyu Yang, Xing Zhang, Yanting Qu, Fei Gao and Yutong Li
Forests 2023, 14(11), 2253; https://doi.org/10.3390/f14112253 - 16 Nov 2023
Viewed by 1293
Abstract
In this study, to comprehensively investigate the impact of garden plants on air quality, we measured the leaves of 18 common garden plants in three different areas, namely, Suzhou industrial parks (clean air area (CAA)), Xiangcheng district parks (lightly polluted area (LPA)), and [...] Read more.
In this study, to comprehensively investigate the impact of garden plants on air quality, we measured the leaves of 18 common garden plants in three different areas, namely, Suzhou industrial parks (clean air area (CAA)), Xiangcheng district parks (lightly polluted area (LPA)), and Huqiu district parks (highly polluted area (HPA)). We also measured the leaf functional traits of different life-types of plants. To explore the trade-off strategies of the leaf traits of common garden plants in response to air pollution and to assess the adaptive capacity of different life types of plants to air pollution. The results show that plants in the polluted area had higher leaf dry matter content (LDMC) and leaf nitrogen content per unit mass (Nmass), and a lower specific leaf area (SLA), maximum net photosynthetic rate per unit area (Aarea), transpiration rate (Tr), stomatal conductance (Gs), and chlorophyll value (SPAD). Pearson correlation analysis showed that SLA was significantly positively correlated with Nmass, Tr, photosynthetic use efficiency (PNUE), and SPAD, and significantly negatively correlated with LDMC, while Aarea was significantly positively correlated with chlorophyll value. Redundancy analysis revealed that the correlation between each leaf functional trait and atmospheric pollution factors was as follows: LDMC > Nmass > SLA > LA > Aarea > Tr > PNUE > SPAD. The results suggest that different plant types have varying levels of adaptability to environmental conditions. Trees were found to be the most adaptable, followed by shrubs, herbs, and lianas. Additionally, under the stress of air pollution, herbs and lianas exhibited characteristics of “fast investment-return” on the leaf economic spectrum, meaning they were able to quickly allocate resources to maximize their return. However, trees and shrubs displayed traits of “slow investment-return”, indicating a more conservative approach to resource allocation. These results provide valuable insights into the leaf trade-off strategies of plants in Suzhou Park under air pollution stress and can guide the selection of suitable plant species in similar environments. Full article
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