PARTICULATE MATTERS GENERATED BY CAPRISOARA TAILING POND AND THEIR IMPACT ON AIR QUALITY

2019 ◽  
Vol 18 (4) ◽  
pp. 803-810
Author(s):  
Adrian Florea ◽  
Csaba Lorint ◽  
Ciprian Danciu
Agromet ◽  
2021 ◽  
Vol 35 (1) ◽  
pp. 39-48
Author(s):  
Revia Muharrami ◽  
Rini Hidayati ◽  
Ana Turyanti

Pneumonia is the respiratory infection disease, which is influenced by climatic variables and air quality. However, little is known how rainfall and air humidity influence on the disease situated in a high traffic density such as in Bogor, Indonesia. The research aims to analyze the influences of rainfall, air humidity, and air pollution on the incidence rate of pneumonia under 5-year old children in Bogor. We used statistical approaches namely correlation and principal component analysis and combined with chart analysis to identify the influences. Our results revealed that high rainfall (high relative humidity) improved air quality by lowering the concentration of particulate matter. But, the indoor microorganism growth would increase, therefore it affects the incidence rate of pneumonia under 5-year old children, especially in transition season from wet to dry. In dry season, high concentration of particulate matter in the air would increase the incidence rate of pneumonia. Other findings showed that climate (through humidity) and particulate matters have regulated the pneumonia incidence rate in Bogor. The rate was higher under high humidity. On other hand, in transition from dry to wet season, concentration of particulate matters was more dominant to influence the incident rate.


2020 ◽  
Vol 5 ◽  
pp. 2 ◽  
Author(s):  
Bode Abiodun Orola

This study examines seasonal variations in Indoor Air Quality in occupied spaces within student hostels of Obafemi Awolowo University, Nigeria, and the associated physical health effects reported by occupants. Indoor Air Quality data were obtained from 22 selected rooms, with at least two rooms selected from the nine different spatial design layouts identified in the hostel buildings. Indoor Air Quality parameters obtained were 15-minute interval data of relative humidity, as well as concentrations of carbon dioxide, total volatile organic compounds, and particulate matters. These were measured with data loggers placed at 1.0 m from the floor level in the centre of selected rooms. Measurements were taken in selected rooms through a period of four consecutive weeks each during the peaks of dry and wet seasons. A questionnaire, which was administered immediately at the end of the measurement period to 696 respondents, was used to capture the significant physical health symptoms as reported by the occupants, as well as information regarding their activities and use of the rooms. Significant health symptoms reported by occupants were the same across seasons. These were cold, fatigue, and headache. Indoor concentrations of carbon dioxide and particulate matters have most significant relationship with reported health symptoms.


2015 ◽  
Vol 39 (3) ◽  
pp. 417-421
Author(s):  
Renato de Aragão Ribeiro Rodrigues ◽  
Vanderson Corrêa Vaz ◽  
Alice Sato ◽  
Rosani do Carmo de Oliveira Arruda ◽  
Wagner Antonio Chiba de Castro ◽  
...  

ABSTRACTWhile a number of papers have shown that subway systems have an impact on the air quality through the release of particulate matters, no information about the impact of such particles on tree attributes is available. Tree leaves from three different species from the exit side of a subway station in Rio de Janeiro, Brazil, were more asymmetrical than leaves from the entrance side. This leaves also presenting changes in leaves cuticle and chlorophyll content.


Atmosphere ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 817 ◽  
Author(s):  
Nathaniel Mopa Wambebe ◽  
Xiaoli Duan

This study focuses on assessing the health risk by particulate matter (PM) inhalation within the Abuja municipal area, Nigeria. Particulate matters (PM2.5 and PM10), HCHO and VOCs were collected by A handheld portable smart air quality detector BR-SMART-126. A hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model for backward trajectory was applied to tract the air flow (transportation) and potential sources. Health risk was estimated by comparing with the air quality index (AQI) stipulated by the World Health Organization (WHO). The result shows that the daily averaged concentrations of PM2.5 varied from 15.30 µg/m3 to 70.20 µg/m3. The top four most-polluted locations (Locations 10, 14, 17 and 18) of the twenty locations were found to be above the acceptable (25 µg/m3) AQI limit stipulated by WHO, which all fell far under the unhealthy AQI value index level. In general, business/commercial locations had the highest PM2.5 level followed by transport/market, offices/mixed use and residential. The results from the backwards trajectories show that the source of local particles for the four most-polluted locations is long-range air transport originating from the Atlantic Ocean. The results of the health-risk assessment implies that for PM2.5, the AQI varied from 73.2 to 280.8 in this assessment. Based on this, the population of workers within the business location are at health risk based on the relatively poor air quality in these areas—especially location 10 and 17. Based on these findings, it is recommended that the regulatory and enforcement agency needs to develop a more robust monitoring mechanism, regulations and enforcement. Furthermore, there is need for a national drive on renewable energy, clean energy for business/commercial district to help reduce fumes from generators and to form cleaner air initiatives in order to ensure a safe environment to live in as well as reduce particulate matters in the city.


2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Geoffrey Colin Lee Peterson ◽  
Anne Corrigan ◽  
Christian Hogrefe ◽  
Lucas Neas ◽  
Rohit Mathur ◽  
...  

2020 ◽  
Vol 15 (24) ◽  
pp. 4241-4255
Author(s):  
Xiaodi Su ◽  
Laura Sutarlie ◽  
Xian Jun Loh

2018 ◽  
Vol 161 ◽  
pp. 364-369 ◽  
Author(s):  
Anne E. Corrigan ◽  
Michelle M. Becker ◽  
Lucas M. Neas ◽  
Wayne E. Cascio ◽  
Ana G. Rappold

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