Tree bark as bioindicator of metal accumulation from road traffic and air quality map: A case study of Chiang Mai, Thailand

Janta, Rungruang; Chantara, Somporn

doi:10.1016/j.apr.2017.03.010

Cited by 31 publications

(14 citation statements)

References 36 publications

(55 reference statements)

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“…For example, the highest concentration of Ba, Cu, and Zn were observed in HYO, while Pb, Ni, and V were elevated at CHI. According to Fijuwara et al [51], Pb, Zn, and Ba are traffic markers, while Janta and Chantara [1], concluded that Cr, Pb, Cu, and Zn come mainly from vehicular sources. In addition, Querol et al [52] suggested that Sb, Cu, Zn, Ba, and Fe are markers of brake or other vehicular parts wear and may be considered as indicators of re-suspension caused by traffic.…”

Section: Discussionmentioning

confidence: 99%

“…Air pollution and atmospheric deposition of toxic trace elements have become a major environmental concern around the world because of its adverse effect on human health and the environment [1][2][3]. Among major urban air pollutants, airborne particulate matter (PM), in inhalable coarse particles (PM 10 -particles that have aerodynamic diameters less than or equal to 10 µm) or particularly fine particles (PM 2.5 -aerodynamic diameters of 2.5 µm or less) [4] show potential risk to the health human causing premature mortality and cardiovascular diseases [5].…”

Section: Introductionmentioning

confidence: 99%

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Chemical Characterization of PM2.5 at Rural and Urban Sites around the Metropolitan Area of Huancayo (Central Andes of Peru)

et al. 2019

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The purpose of this study was to determine PM2.5 mass concentration and the contents of trace elements and water-soluble ions in samples collected inside the Metropolitan area of Huancayo. Four monitoring stations were installed at three urban areas (UNCP, HYO, and CHI) and one rural (IGP). The sampling campaign was carried out from March 2017 to November 2017. The PM2.5 content was determined by gravimetric method, and fifteen trace elements (TE) and seven water-soluble ions were detected by inductively coupled plasma mass spectrometry (ICP–MS), and ion chromatography (IC), respectively. Datasets were assessed by one ANOVA test to detect significant differences among monitoring station. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied for source identification. The mean annual concentration of PM2.5 mass concentrations has ranged (average) from 3.4 to 36.8 µg/m3 (16.6 ± 6.8 µg/m3) for the monitoring stations under study. The annual World Health Organization thresholds and national air quality standards were exceeded. Significant differences (p < 0.05) were observed between most trace elements at urban and rural areas. PCA and HCA illustrated that the most important sources of traces element originated of natural origin (soil re-suspension) and vehicular sources (fuel combustion, abrasion of vehicles tires, wear car components).

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Chemical Characterization of PM2.5 at Rural and Urban Sites around the Metropolitan Area of Huancayo (Central Andes of Peru)

et al. 2019

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“…The heavy metal concentrations in the outer bark were higher than in other organs. This result was much clearer in the samples taken from the direction of high traffic volume, and the factors playing a role in these results are mainly different organelle structure, particle materials, and particles' contamination with traffic-borne heavy metals (Janta et al 2016;Janta and Chantara 2017;Sevik et al 2019c). In previous studies, it was determined that the air metals in the air adhere to and infect the particle materials and the heavy metal concentrations in plants increased because of the accumulation of these particles on the plant (Mossi 2018;Sevik et al 2019d).…”

Section: Resultsmentioning

confidence: 93%

Using Cedrus atlantica’s annual rings as a biomonitor in observing the changes of Ni and Co concentrations in the atmosphere

Koç

2021

Environ Sci Pollut Res

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Among the environmental pollution elements, one of the most important problems of the world today, air pollution and heavy metal pollution that have gradually increased after the industrial activities, are of significant importance. Heavy metals are not easily dissolved in nature. Moreover, they tend to bioaccumulate in living organisms, and some of them have a toxic or carcinogenic effect even at low concentrations. For this reason, it is crucial to monitor the heavy metal concentration in the air and monitor the changes. One of the efficient methods in observing the change of heavy metal concentrations in the air is the use of annual rings of trees as a biomonitor. The present study aimed to determine the annual change of Ni and Co concentrations, which are among the heavy metals related to traffic volume at most, in annual rings of Cedrus atlantica harvested in Kastamonu in late 2019. Within the scope of this study, the heavy metal concentrations in the inner and outer bark were compared to the heavy metal concentration in wood and the change of concentration in terms of direction was also analyzed. As a result of the present study, the highest concentrations in both heavy metals were found in the outer bark, whereas the transmission of metals within the wood was limited. It was found that Ni concentration significantly changed directionally in woods, and this change was related to the traffic volume. Thus, it was concluded that the annual rings of Cedrus atlantica were very suitable biomonitors to monitor Ni concentration change.

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“…As a result of this adaptation, the bark of some tree species contains volatile oils and is waterproof [10]. Tree bark is also used as a bio-identifier of metal accumulation from road traffic [11,12]. It plays an important role in the accumulation of dichlorodiphenyltrichloroethane (DDT) from agricultural regions [13].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Characterizing Bark Microrelief Using 3D Vision Systems

Sioma

Socha

Klamerus‐Iwan

2018

Forests

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Bark microrelief (BM), or the spatial patterning of bark texture, is an important bark characteristic shown to significantly affect the ecophysiological functioning of forest ecosystems. BM influences bark micrometeorological conditions and stemflow generation which, in turn, impacts epiphytic vegetation and microbial community patterns, as well as insect foraging behavior. Thus, an objective method to quantify BM is important to understand and model hydro-biogeochemical processes in forest canopy ecosystems. The aim of this study was to develop a method for fast and automated imaging of bark surface morphology. Three-dimensional imaging methods using laser triangulation were used to describe BM. An automated system was developed and applied to calculate three new BM indices for samples collected from five trees representing species common throughout Poland (and Northern Europe): common oak, European ash, trembling aspen, Scots pine, and black alder. These new BM indices may be useful for characterizing and quantitatively relating BM to forest canopy ecophysiological functions.

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Tree bark as bioindicator of metal accumulation from road traffic and air quality map: A case study of Chiang Mai, Thailand

Cited by 31 publications

References 36 publications

Chemical Characterization of PM2.5 at Rural and Urban Sites around the Metropolitan Area of Huancayo (Central Andes of Peru)

Chemical Characterization of PM2.5 at Rural and Urban Sites around the Metropolitan Area of Huancayo (Central Andes of Peru)

Using Cedrus atlantica’s annual rings as a biomonitor in observing the changes of Ni and Co concentrations in the atmosphere

A New Method for Characterizing Bark Microrelief Using 3D Vision Systems

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