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Author |
Koch, K.; Wuyts, K.; Denys, S.; Samson, R. |
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Title |
The influence of plant species, leaf morphology, height and season on PM capture efficiency in living wall systems |
Type |
A1 Journal article |
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Year  |
2023 |
Publication |
The science of the total environment |
Abbreviated Journal |
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Volume |
905 |
Issue |
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Pages |
167808-167811 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Green infrastructure (GI) is already known to be a suitable way to enhance air quality in urban environments. Living wall systems (LWS) can be implemented in locations where other forms of GI, such as trees or hedges, are not suitable. However, much debate remains about the variables that influence their particulate matter (PM) accumulation efficiency. This study attempts to clarify which plant species are relatively the most efficient in capturing PM and which traits are decisive when it comes to the implementation of a LWS. We investigated 11 plant species commonly used on living walls, located close to train tracks and roads. PM accumulation on leaves was quantified by magnetic analysis (Saturation Isothermal Remanent Magnetization (SIRM)). Several leaf morphological variables that could potentially influence PM capture were assessed, as well as the Wall Leaf Area Index. A wide range in SIRM values (2.74–417 μA) was found between all species. Differences in SIRM could be attributed to one of the morphological parameters, namely SLA (specific leaf area). This suggest that by just assessing SLA, one can estimate the PM capture efficiency of a plant species, which is extremely interesting for urban greeners. Regarding temporal variation, some species accumulated PM over the growing season, while others actually decreased in PM levels. This decrease can be attributed to rapid leaf expansion and variations in meteorology. Correct assessment of leaf age is important here; we suggest individual labeling of leaves for further studies. Highest SIRM values were found close to ground level. This suggests that, when traffic is the main pollution source, it is most effective when LWS are applied at ground level. We conclude that LWS can act as local sinks for PM, provided that species are selected correctly and systems are applied according to the state of the art. |
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Wos |
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Publication Date |
2023-10-13 |
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ISSN |
0048-9697; 1879-1026 |
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Additional Links |
UA library record |
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no |
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Call Number |
UA @ admin @ c:irua:201033 |
Serial |
9049 |
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Author |
Ysebaert, T.; Koch, K.; Samson, R.; Denys, S. |
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Title |
Green walls for mitigating urban particulate matter pollution : a review |
Type |
A1 Journal article |
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Year |
2021 |
Publication |
Urban Forestry & Urban Greening |
Abbreviated Journal |
Urban For Urban Gree |
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Volume |
59 |
Issue |
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Pages |
127014 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Art; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Air pollution caused by particulate matter (PM) is a well-known health issue in urban environments. Urban green infrastructure offers opportunities as a nature-based solution to urban PM pollution. Green walls have advantages over other types of urban green infrastructure, since they can be applied to the enormous available wall area in cities and since they do not interfere with the prevailing ventilation resulting in elevated PM levels. However, this has raised questions about the effectiveness of GW in removing PM and this could explain the limited applicability of green walls to tackle PM pollution. Nevertheless, it is suggested that green walls have a significant unexploited potential and this review article aims to address current knowledge gaps and to propose future research requirements for the implementation of green walls to mitigate urban PM pollution. An in-depth analysis is given of the mechanisms behind PM deposition and the influence of vegetation properties on this process, as well as the practices followed to model PM dispersion and deposition. It was suggested that particle deposition on green walls depends on the green wall species, pollution level, and the residence time of PM in a street (canyon). Rainfall plays an important role in the PM pathway, although it is not a necessary requirement to sustain PM deposition on plant leaves. There are still some discrepancies in the literature about the ideal plant characteristics for PM deposition in terms of the macro- and microstructures that require further investigation, especially in comparison with tree and shrub species. In addition, extensively validated models are required to accurately calculate the impact of green walls on air flow and the PM concentration on site. |
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Wos |
000632597600001 |
Publication Date |
2021-02-06 |
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Edition |
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ISSN |
1618-8667 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
2.113 |
Times cited |
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Open Access |
OpenAccess |
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Notes |
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Approved |
Most recent IF: 2.113 |
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Call Number |
UA @ admin @ c:irua:175581 |
Serial |
8011 |
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Author |
Koch, K.; Ysebaert, T.; Denys, S.; Samson, R. |
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Title |
Urban heat stress mitigation potential of green walls: A review |
Type |
A1 Journal article |
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Year |
2020 |
Publication |
Urban Forestry & Urban Greening |
Abbreviated Journal |
Urban For Urban Gree |
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Volume |
55 |
Issue |
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Pages |
126843-13 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Art; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
Cities with resilience to climate change appear to be a vision of the future, but are inevitable to ensure the quality of life for citizens and to avoid an increase in civilian mortality. Urban green infrastructure (UGI), with the focus on vertical green, poses a beneficial mitigation and adaptation strategy for challenges such as climate change through cooling effects on building and street level. This review article explores recent literature regarding this considerable topic and investigates how green walls can be applied to mitigate this problem. Summary tables (see additional information) and figures are presented that can be used by policy makers and researchers to make informed decisions when installing green walls in built-up environments. At last, knowledge gaps are uncovered that need further investigation to exploit the benefits at its best. |
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Wos |
000593921600001 |
Publication Date |
2020-09-25 |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1618-8667 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
6.4 |
Times cited |
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Open Access |
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Notes |
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Approved |
Most recent IF: 6.4; 2020 IF: 2.113 |
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Call Number |
UA @ admin @ c:irua:172985 |
Serial |
6650 |
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Author |
Koch, K.; Samson, R.; Denys, S. |
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Title |
Experimental and computational aerodynamic characterisation of urban trees |
Type |
A1 Journal article |
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Year |
2020 |
Publication |
Biosystems Engineering |
Abbreviated Journal |
Biosyst Eng |
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Volume |
190 |
Issue |
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Pages |
47-57 |
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Keywords |
A1 Journal article; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
The Darcy–Forchheimer method is used for modelling the airflow through vegetation. Seven tree and shrub species with contrasting leaf morphologies were installed in a wind tunnel to allow pressure loss measurements across the plant section. Aerodynamic parameters derived from this experiment were inserted into a COMSOL Multiphysics computational fluid dynamics model. The model was confirmed to be a good predictor for airflow through vegetation (R2 = 0.98), regardless of plant morphology. Moreover, supplementing these data with results from a previous study (which considered herbaceous species) revealed a pattern of pressure loss data, that was already been normalised for plant area density. Although we propose further research into kinetic energy transfer in vegetation, this study provides sufficient interesting information for further applications and modelling to describe and predict urban ecology. |
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Wos |
000512221700005 |
Publication Date |
2019-12-18 |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1537-5110 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
5.1 |
Times cited |
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Open Access |
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Notes |
; This work was supported by the VLAIO-VIS project 'Green building: green walls for sustainable buildings and cities' (140993) and the FWO-SBO project 'EcoCities: Green roofs and walls as a source for ecosystem services in future cities' (S002818N). ; |
Approved |
Most recent IF: 5.1; 2020 IF: 2.044 |
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Call Number |
UA @ admin @ c:irua:164883 |
Serial |
6516 |
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Author |
Koch, K.; Samson, R.; Denys, S. |
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Title |
Aerodynamic characterisation of green wall vegetation based on plant morphology : an experimental and computational fluid dynamics approach |
Type |
A1 Journal article |
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Year |
2019 |
Publication |
Biosystems engineering |
Abbreviated Journal |
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Volume |
178 |
Issue |
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Pages |
34-51 |
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Keywords |
A1 Journal article; Engineering sciences. Technology; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
The installation of urban green infrastructure, particularly green walls, has proven to be an effective strategy for the mitigation of particulate matter (PM) pollution and the urban heat island effect. For the interaction between vegetation, PM and the local microclimate, wind flow is the main driving force. In order to investigate these interactions in detail, it is important to know how air flows through vegetation. This study proposes a method based on the DarcyForchheimer equation, where vegetation is considered as a porous medium and several plant species and the effects of plant morphological characteristics are examined both experimentally and using computer simulations. Results showed that the DarcyForchheimer model is a simple and robust way to describe air flow through vegetation regardless of its morphology. This research provides a new vision on studying aerodynamic properties of vegetation in relation to their morphology and provides opportunities for model the interaction between vegetation and its environment. |
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Wos |
000456902300003 |
Publication Date |
2018-11-22 |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1537-5110 |
ISBN |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
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Times cited |
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Open Access |
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Notes |
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Approved |
no |
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Call Number |
UA @ admin @ c:irua:155994 |
Serial |
7421 |
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