Using Artificial Neural Network for Forecasting PM2.5 Levels in a Prominent Industrial and Historically Significant Urban Center in Iran: Evaluating Health Implications DOI Creative Commons
ali mohammadi bardshahi,

Neemat Jaafarzadeh,

Tayebeh Tabatabaie

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 12, 2023

Abstract There has been a scarcity of comprehensive studies that aim to predict both the levels PM 2.5 particles and their corresponding impacts on human health. To fill this gap, we developed an artificial neural network model AirQ+ software concentrations assess associated health effects. The ANN utilized five distinct input parameters, specifically wind velocity, orientation, atmospheric temperature, relative moisture content, levels, observed within time frame 2018 2019. concealed stratum comprised total ten neurons, in addition presence output layer. MLP demonstrated strong correlations at each stage: 0.908 (training), 0.910 (validation), 0.914 (testing), 0.907 overall. RMSE was determined as 6.52 µg/m 3 when evaluating network, thus indicating notable predictive precision exhibited by multilayer perceptron (MLP) forecasting concentration particles. software, created World Health Organization (WHO), employed magnitude consequences concentrations. average throughout duration study recorded 26.5 μg/m , which exceeds recommended limit provided WHO factor 5.3. estimated proportions numbers deaths attributed various conditions. Specifically, chronic obstructive pulmonary disease (COPD), ischemic heart (IHD), lung cancer (LC), stroke, all-cause mortality accounted for approximately 11.67%, 15.02%, 13.25%, 15.225%, 9.45% respectively. number were 19,195 all causes, 10,063 COPD, 564 IHD, 1,063 cancer. findings investigation demonstrate high degree reliability methodologies utilized. Through utilization these approaches, individuals positions authority responsibility can aptly evaluate cost-benefit analysis, leading reduction casualties mitigating economic burdens society.

Language: Английский

Source-apportionment and spatial distribution analysis of VOCs and their role in ozone formation using machine learning in central-west Taiwan DOI
Manisha Mishra,

Pin-Hsin Chen,

Wilfredo Bisquera

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 232, P. 116329 - 116329

Published: June 3, 2023

Language: Английский

Citations

9
Quantification of Ecosystem Services from Urban Mangrove Forest: A Case Study in Angke Kapuk Jakarta DOI Open Access
Elham Sumarga, A. Sholihah,

Febby Angelina Edi Srigati

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1796 - 1796

Published: Sept. 3, 2023

Coastal urban areas in Indonesia commonly encounter complex environmental problems, including bad air pollution and high risk of flooding due to sea level rise land subsidence. The existence mangrove forests potentially contributes mitigating the problems. Preserving coastal requires continuous support from all stakeholders, which can be strengthened by good understanding on comprehensive benefits provided these ecosystems. This study aims quantify key ecosystem services forest, with a case Angke Kapuk Jakarta. Four types were quantified, i.e., carbon storage, pollutant absorption, microclimate regulation, nature recreation. A vegetation survey was conducted 30 sample plots collect data for covers above-ground carbon, below-ground deadwood. absorption six pollutants (CO, NO2, O3, SO2, PM10, PM2.5) analysed using i-Tree Eco model. Field measurements temperature humidity, as well interviews 99 visitors, performed analyse regulation. found quantity storage within trees deadwood area (111.6 tonnes C/ha) amounts absorbed (11.3 tonnes/year). Mangrove effectively regulated conditions, indicated significant difference average daily humidity between inside outside forest. Meanwhile, number visitors benefiting its recreation has fluctuated during last five years, an 138,550 people per year. We discuss implications findings this forest management, how integrate quantification into preservation rehabilitation.

Language: Английский

Citations

7
Protective effect of 3-bromo-4,5-dihydroxybenzaldehyde against PM2.5-induced cell cycle arrest and autophagy in keratinocytes DOI Open Access
Herath Mudiyanselage Udari Lakmini Herath,

Mei Jing Piao,

Kyoung Ah Kang

et al.

Molecules and Cells, Journal Year: 2024, Volume and Issue: 47(5), P. 100066 - 100066

Published: April 26, 2024

Particulate matter 2.5 (PM2.5) poses a serious threat to human health and is responsible for respiratory disorders, cardiovascular diseases, skin disorders. 3-Bromo-4,5- dihydroxybenzaldehyde (3-BDB), abundant in marine red algae, exhibits anti-inflammatory, antioxidant, anti-diabetic activities. In this study, we investigated the protective mechanisms of 3-BDB against PM2.5-induced cell cycle arrest autophagy keratinocytes. Intracellular reactive oxygen species (ROS) generation, DNA damage, arrest, intracellular Ca2+ level, activation were tested. was found restore proliferation viability which reduced by PM2.5. Furthermore, ROS levels, attenuated arrest. Moreover, ameliorated increases cellular level activation. While PM2.5 treatment growth viability, these restored with inhibitor bafilomycin A1 or 3-BDB. The findings indicate that ameliorates death caused via inhibiting autophagy. Hence, can be exploited as preventive/therapeutic agent impairment.

Language: Английский

Citations

2
PM2.5 and PM10-related carcinogenic and non-carcinogenic risk assessment in Iran DOI

Khatereh Anbari,

Pierre Sicard, Yusef Omidi Khaniabadi

et al.

Journal of Atmospheric Chemistry, Journal Year: 2024, Volume and Issue: 81(1)

Published: Oct. 15, 2024

Language: Английский

Citations

2
City Wind Impact on Air Pollution Control for Urban Planning with Different Time-Scale Considerations: A Case Study in Chengdu, China DOI Creative Commons

Jianwu Xiong,

Jin Li, Fei Gao

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 14(7), P. 1068 - 1068

Published: June 24, 2023

Economic development and fast growing urbanization in China have caused severe air pollution, with frequent pollution episodes endangering the health of inhabitants disturbing social activities, as an expanding metropolis, Chengdu has suffered ever since. The concentration variations main pollutants, such PM10, PM2.5 NO2, often show periodicity because meteorological impact anthropic display orientation discrepancies due to influences wind speed (WS), frequency pollutant sources. These features complicated mechanisms deepened difficulty control evaluation. WS significant on concentrations, quantifying influence which is high significance provides sustainable foundations for alleviation strategies. Different time-scale cycles (i.e., Diurnal, weekly, seasonal annual), along WS, frequency, spatial orientations urban areas, were analyzed this paper. Results that diurnal, annual remarkable, weekly cycle obvious by adding 16 orientations. direct impacts pollutants varying range 1.5–2.5 m/s, a remarkable diffusion effect once above 2.5 m/s. Over heavy hours transitional seasons, had more whereas not factor variations. For Chengdu, northeast suitable construct panel while pollutions northwest southwest below 1.5 north-northwest was worst. This work can provide guidance reference planning optimization environment protection cities quality considerations impacted city wind.

Language: Английский

Citations

6
COVID-19 Outbreak Related to PM10, PM2.5, Air Temperature and Relative Humidity in Ahvaz, Iran DOI Creative Commons
Yusef Omidi Khaniabadi, Pierre Sicard,

Bahram Dehghan

et al.

Dr Sulaiman Al Habib Medical Journal, Journal Year: 2022, Volume and Issue: 4(4), P. 182 - 195

Published: Nov. 30, 2022

Abstract In this study, we assessed several points related to the incidence of COVID-19 between March 2020 and 2021 in Petroleum Hospital Ahvaz (Iran) by analyzing data from patients referred hospital. We found that 57.5% infected referrals were male, 61.7% deaths occurred subjects over 65 years age, only 2.4% younger (< 30 old). Analysis showed mean PM 10 2.5 concentrations correlated ( r = 0.547, P < 0.05, 0.609, respectively) positive chest CT scans 0.597, 0.541, 0.05 respectively). observed a high daily air temperature (30–51 °C) relative humidity (60–97%) led significant reduction COVID-19. The highest number obtained June for ranging 38 °C 49 11 15 °C, respectively. A negative correlation was detected cases − 0.320, 0.05) 0.384, 0.05). Ahvaz, 10–28 19–40% are suitable spread coronavirus. with at lag3 0.42) lag0 scan 0.56). For humidity, correlations day 0 (lag0). During lockdown (22 21 April 2020), (29.6%), (36.9%) Air Quality Index (33.3%) when compared previous month. pandemic period (2020–2021), annual (27.3%) (17.8%) reduced 2015–2019 period.

Language: Английский

Citations

8
Risk assessment of exposure to the Middle Eastern dust storms in Iran DOI
Yusef Omidi Khaniabadi,

Parvaneh Bahrami,

Pouran Moulaei Birgani

et al.

Human and Ecological Risk Assessment An International Journal, Journal Year: 2023, Volume and Issue: 29(3-4), P. 743 - 756

Published: Jan. 30, 2023

The aims of this study were to i) assess the relationship between COVID-19 cases with PM10 concentration and ii) investigation premature deaths due cardiovascular (M-CVD) respiratory (M-RD) diseases in three classification levels (PM10<50µg m−3 normal days, 50–200 µg dusty >200 MED storm), by using daily averages concentrations. number M-CVD M-RD estimated concentration-response model, per 105 people during 2017 2021. results showed that 187, 183, 163, 215, 206 days observed concentrations lower than 50 2021, 178, 180, 200, 150, 149 subtotal exceeding from WHO guideline (50 m−3), respectively. A positive correlation (r2=0.33, p < 0.05) was found be mean (r = 0.589, 0.046). Our findings highest among exposed at PM10≤ 200 μg m−3) 2019. total 2021 11.78 12.2, 18.25 17.4, 22.29 23.78, 10.33 7.6, 10.37 9.95 people, respectively which 31.48% health effects related more m−3.

Language: Английский

Citations

4
Forecasting Hourly Ozone Concentration Using Functional Time Series Model—A Case Study in the Coastal Area of Bangladesh DOI
Azizur Rahman, N. M. Refat Nasher

Environmental Modeling & Assessment, Journal Year: 2023, Volume and Issue: 29(1), P. 125 - 134

Published: Sept. 12, 2023

Language: Английский

Citations

4
Analysis of the PM2.5–O3 Pollution Characteristics and Its Potential Sources in Major Cities in the Central Plains Urban Agglomeration from 2014 to 2020 DOI Creative Commons
Shu Quan,

Miaohan Liu,

Boxuan Chen

et al.

Atmosphere, Journal Year: 2022, Volume and Issue: 14(1), P. 92 - 92

Published: Dec. 31, 2022

To highlight the characteristics of PM2.5–O3 pollution in Central Plains Urban Agglomeration, spatial and temporal characteristics, key meteorological factors, source data for area were analyzed. These from period 2014–2020 obtained state-controlled environmental monitoring stations seven major cities agglomeration. The results revealed following: (1) Spatially, days aggregated central Xinxiang decreased toward north south. Temporally, during period, 50 observed with an overall decreasing trend. (2) A low-temperature, high-pressure environment appeared unfavorable occurrence days. Wind speeds 2.14–2.19 m/s a southerly direction increased incidence (3) external transport range summer was smaller mainly originated within Henan Province. can provide important reference information achieving synergistic control pollution, determining causes, as well potential sources, polluted areas promoting air control.

Language: Английский

Citations

4
Meteorological Impact on Dynamic Air Pollutant Concentrations in Different Timescales: Typical Case in Chengdu Megacity, China DOI

Jianwu Xiong,

Jin Li, Yin Zhang

et al.

Water Air & Soil Pollution, Journal Year: 2023, Volume and Issue: 234(11)

Published: Oct. 26, 2023

Language: Английский

Citations

2