scholarly journals Particulate Matter Removal of Three Woody Plant Species, Ardisia crenata, Ardisia japonica, and Maesa japonica

2021 ◽  
Vol 13 (19) ◽  
pp. 11017
Author(s):  
Kei-Jung Kwon ◽  
Hyuk-Joon Kwon ◽  
Yun-Ah Oh ◽  
Soo-Young Kim ◽  
Bong-Ju Park

In this study, we investigated the physiological responses and particulate matter (PM) abatement and adsorption of three plants: Ardisia crenata, Ardisia japonica, and Maesa japonica, to determine their effectiveness as indoor air purification. When compared to control (without plants), PM was significantly and rapidly decreased by all three plants. The reduction in PM varied by species, with A. crenata being the most effective, followed closely by A. japonica, and finally M. japonica. M. japonica showed the highest rate of photosynthesis and transpiration, generating the greatest decrease in CO2 and a large increase in relative humidity. We hypothesize that the increased relative humidity in the chamber acted in a manner similar to a chemical flocculant, increasing the weight of PM via combination with airborne water particles and the creation of larger PM aggregates, resulting in a faster sedimentation rate. A. crenata had a stomatal size of ~20 μm or larger, suggesting that the PM reduction observed in this species was the result of direct absorption. In the continuous fine dust exposure experiments, chlorophyll fluorescence values of all three species were in the normal range. In conclusion, all three species were found to be suitable indoor landscaping plants, effective at reducing indoor PM.

2020 ◽  
Vol 8 (2) ◽  
pp. 61-67
Author(s):  
Nurul Bahiyah Abd Wahid ◽  
Intan Idura Mohamad Isa ◽  
Ahmad Khairuddin Hassan ◽  
Muhammad Izzat Iman Razali ◽  
Ahmad Haziq Hasrizal ◽  
...  

This study aims to determine the particulate matter (PM2.5) mass concentrations and the comfort parameters (total bacterial counts (TBC), total fungal counts (TFC), relative humidity and temperature) in a university building. The samplings were carried out in three different indoor areas, including lecture hall, laboratory and lecturer office. PM2.5 samples were collected over a period of 8 h sampling using a low volume sampler (LVS). The anemometer Model Kestrel 0855YEL was used to measure relative humidity and temperature parameters. The sampling of airborne microorganisms was conducted by using microbial sampler at 350 L air sampled volume. The results showed that the highest average of PM2.5 was at lecture hall (88.54 ± 26.21 µgm-3) followed by lecturer office (69.79 ± 19.06 µgm-3) and laboratory (47.92 ± 24.88 µgm-3). The mean of TBC and TFC readings recorded as follow; 32.71 ± 5.91 cfu m-3 and 76.71 ± 21.5 cfu m-3 for laboratory, 112.1 ± 29.06 cfu m-3 and 124.67 ± 23.35 cfu m-3 for lecturer office, 121.74 ± 19.33 cfu m-3 and 115.33 ± 8.08 cfu m-3 for lecture hall. The average of all comfort parameter was within the prescribed standard by Industry Code of Practice on Indoor Air Quality 2010 for all sampling sites. Therefore, all occupants of the building can work in a conducive and comfortable environment. This study is in line with the objectives of National Policy on the Environment (DASN), which focusing on achieving a clean, safe, healthy and productive environment for present and future generations.


2021 ◽  
Vol 7 (1) ◽  
pp. 01-18
Author(s):  
Mohammad Ayad Al-Rawi ◽  
Praneel Chand ◽  
Archie Van Mendoza Evangelista

Poor indoor environmental quality (IEQ) has become a global concern for World Health Organization (WHO), and its impact on health and well-being has been exacerbated by the COVID-19 pandemic. To monitor and sanitize indoor air, this study develops a cost-effective and customizable IEQ monitoring system to detect unhealthy and low-comfort air levels. This system uses ThingSpeak (MATLAB), microcontrollers (Arduino Uno), and various low-cost sensors to measure indoor air quality (IAQ) and IEQ in terms of gas, particulate matter, temperature, sound level, and ultraviolet (UV) light. The presented system is validated with respect to temperature, relative humidity, and particulate matter by benchmarking against the Camfil air image sensor manufactured by Camfil AB, Stockholm, Sweden. The average error of temperature, relative humidity, and PM2.5 are 0.55%, 5.13%, and 3.45%, respectively.


2018 ◽  
Vol 7 (3.9) ◽  
pp. 42
Author(s):  
Norsafiah Norazman ◽  
Adi Irfan Che Ani ◽  
Nor Haslina Ja’afar ◽  
Muhamad Azry Khoiry

Indoor Air Quality (IAQ) is an essential matter in achieving students’ satisfaction for the learning process. Building’s orientation is a factor that may encourage sufficient natural ventilation for the classroom occupants. Inadequate ventilation is an issue for most existing classrooms. The purpose of this paper is to analyze the accuracy of natural ventilation in classrooms. Therefore, experimental on 20 classrooms has been conducted by using Multipurpose Meter at secondary school buildings in Malaysia. The findings indicated that the accuracy of natural ventilation testing was below the permissible limits throughout the hours monitored, thus this may cause potential health hazards to the students. Temperature and air flow rates were lower than 23 °C and 0.15 m/s respectively, it fulfilled the basic requirements as a standard learning environment. However, measurements taken showed the overall relative humidity (RH) in the classrooms can be categorized as acceptable with 40% to 70% range. On the basis of these findings, it is evident that naturally ventilated classrooms are important especially due to energy efficiency, whereas mechanical ventilation should only be installed as an alternative under extremely hot weather conditions.   


2001 ◽  
Vol 67 (1) ◽  
pp. 149-154 ◽  
Author(s):  
S. K. Ghosh ◽  
T. S. Patel ◽  
P. B. Doctor ◽  
P. K. Kulkarni ◽  
S. H. Shah ◽  
...  

2019 ◽  
Vol 70 (2) ◽  
pp. 213-220 ◽  
Author(s):  
Małgorzata Kowalska ◽  
Anna Mainka ◽  
Walter Mucha
Keyword(s):  

2021 ◽  
Author(s):  
SHRAVAN KUMAR ◽  
Manish Kumar Jain

Abstract Women spend relatively more time in indoor conditions in developing countries. Exposure to various indoor air pollutants leads them to higher health risks according to Household air quality in which they reside. Particulate matter (PM) exposure with their exposure duration inside the household plays a significant role in women's Respiratory problems. We measured size segregated particulate matter concentrations in 63 residences at different locations. Respiratory dust depositions (RDDs) for 118 women in their different respiratory regions like head-airway (HD), tracheobronchial (TB), and alveolar (AL) region for the three PM size fractions (PM10, PM2.5 & PM1) were investigated. For different positions like Light exercise and the Sitting condition, RDD values found for AL region was 0.091 µgmin− 1 (SD: 0.067, 0.012–0.408) and 0.028 µgmin− 1 (SD: 0.021, 0.003–0.126) for PM10, 0.325 µgmin− 1 (SD: 0.254, 0.053–1.521) and 0.183 µgmin− 1 (SD: 0.143, 0.031–0.857) for PM2.5, 0.257 µgmin− 1 (SD: 0.197, 0.043–1.04) and 0.057 µgmin− 1 (SD: 0.044, 0.009–0.233) respectively for PM1 to females. RDDs values in the AL region significantly increases as PM10 (11%), PM2.5 (68%), and PM1 (21%), confirm that for women, the AL region is the most prominent affected zone by fine particles (PM2.5).


2015 ◽  
Vol 15 (2) ◽  
pp. 399-409 ◽  
Author(s):  
Marco Casati ◽  
Grazia Rovelli ◽  
Luca D’Angelo ◽  
Maria Grazia Perrone ◽  
Giorgia Sangiorgi ◽  
...  

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1606
Author(s):  
Małgorzata Basińska ◽  
Michał Michałkiewicz ◽  
Katarzyna Ratajczak

Dissatisfaction with indoor air quality is common even in relatively new or renovated Polish school buildings. To improve air quality in educational buildings, portable devices have seen increased use, for which manufacturers guarantee a high level of indoor air purification. However, their optimized operation largely depends on their correct use. The aim of this article was to determine the effectiveness of air purification in a primary school using an air purification device with an analysis of the classroom indoor air quality (IAQ). Two criteria were used, microbiological and particulate matter concentration. Measurements were made before device installation and during its continuous operation, and before and after lessons on chosen days. Measurements related to IAQ did not detect clear differences in the analyzed measurement periods. For microbiological contamination, in the morning before lessons, the total count for all bacteria and microscopic fungi was definitely lower than after lessons. Comparing the periods before and after device installation, no clear tendency for reducing the bacteria count or microscopic fungi occurred during air purifier operation, nor was there any noticeable trend in the reduction of particulate matter. There was no improvement in air quality in the classrooms during the operation of the purification devices.


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