Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China

Toxics, Год журнала: 2023, Номер 11(1), С. 51 - 51

Опубликована: Янв. 3, 2023

Anthropogenic sources of fine particulate matter (PM2.5) threaten ecosystem security, human health and sustainable development. The accuracy prediction daily PM2.5 concentration can give important information for people to reduce their exposure. Artificial neural networks (ANNs) wavelet-ANNs (WANNs) are used predict in Shanghai. Shanghai from 2014 2020 decreased by 39.3%. serious COVID-19 epidemic had an unprecedented effect on during the lockdown is significantly reduced compared period before lockdown. First, correlation analysis utilized identify associations between meteorological elements Second, estimating twelve training algorithms twenty-one network structures these models, results show that optimal input predicting models were 3 previous days fourteen elements. Finally, activation function (tansig-purelin) ANNs WANNs better than others training, validation forecasting stages. Considering coefficients (R) next day influence factors, showed closest relation with 1 lag closer relationships minimum atmospheric temperature, maximum pressure, 2 lag. When Bayesian regularization (trainbr) was train, ANN WANN precisely simulated calibration It emphasized WANN1 model obtained terms R (0.9316). These prove adept because they output factors. Therefore, our research offer a theoretical basis air pollution control.

Язык: Английский

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Blockchain: A carbon-neutral facilitator or an environmental destroyer?

International Review of Economics & Finance, Год журнала: 2023, Номер 86, С. 604 - 615

Опубликована: Апрель 7, 2023

Язык: Английский

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Sustainable Energy Planning in a New Situation

Energies, Год журнала: 2023, Номер 16(4), С. 1626 - 1626

Опубликована: Фев. 6, 2023

Energy is one of the most important aspects urban development and technological advancements. As its production consumption are connected to several environmental, social, economic issues covering all three sustainability pillars, strategic targeted energy planning vital smooth transition towards a more efficient greener society. In accordance with specific priorities every state, sustainable should also satisfy international trends, requirements, targets, including global commitments for development. this time, further deployment renewable efficiency improvement future. However, due recent events, new situation has been established. The COVID-19 pandemic ongoing war in Ukraine have caused circumstances challenging recognized approaches an effective strategy. While led temporary reduction use created habits savings, security issues, especially Europe, increase prices. Moreover, both questioned implementation green strategies policies initiated poverty. framework, perspectives criteria, on which relevant research could lean, investigated discussed.

Язык: Английский

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Prenatal Exposure of PFAS in Cohorts of Pregnant Women: Identifying the Critical Windows of Vulnerability and Health Implications

Environmental Science & Technology, Год журнала: 2024, Номер 58(31), С. 13624 - 13635

Опубликована: Июль 25, 2024

Cohorts of pregnant women in 2018 and 2020 were selected to explore prenatal exposure perfluoroalkyl polyfluoroalkyl substances (PFAS). Maternal serum during the whole pregnancy (first third trimesters) matched cord collected for analysis 50 PFAS. Perfluorooctanoic acid (PFOA), perfluorooctanesulfonic (PFOS), 6:2 fluorotelomer sulfonic (6:2 FTS) dominant PFAS both maternal serum. The median ∑PFAS concentration was 14.18 ng/mL, observed decline from first trimester trimester. transplacental transfer efficiencies (TTE) 29 comprehensively assessed, a "U"-shaped trend TTE values with increasing molecular chain length carboxylic (PFCA) this study. Moreover, concentrations 9-chlorohexadecafluoro-3-oxanonane-1-sulfonic Cl-PFESA), perfluorononanoic (PFNA), perfluorodecanoic (PFDA), perfluoroundecanoic (PFUdA), perfluorododecanoic (PFDoA), PFOS, hexafluoropropylene oxide dimer (HFPO-DA) cohort significantly lower than those cohort, declining by about 23.85-43.2% (

Язык: Английский

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The COVID-19 Mortality Rate Is Associated with Illiteracy, Age, and Air Pollution in Urban Neighborhoods: A Spatiotemporal Cross-Sectional Analysis

Tropical Medicine and Infectious Disease, Год журнала: 2023, Номер 8(2), С. 85 - 85

Опубликована: Янв. 26, 2023

There are different area-based factors affecting the COVID-19 mortality rate in urban areas. This research aims to examine rates and their geographical association with various socioeconomic ecological determinants 350 of Tehran’s neighborhoods as a big city. All deaths related included from December 2019 July 2021. Spatial techniques, such Kulldorff’s SatScan, geographically weighted regression (GWR), multi-scale GWR (MGWR), were used investigate spatially varying correlations between predictors, including air pollutant factors, status, built environment public transportation infrastructure. The city’s downtown northern areas found be significantly clustered terms spatial temporal high-risk for mortality. MGWR model outperformed OLS models an adjusted R2 0.67. Furthermore, was associated quality (e.g., NO2, PM10, O3); pollution increased, so did Additionally, aging illiteracy positively rates. Our approach this study could implemented potential associations other emerging infectious diseases worldwide.

Язык: Английский

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Five waves of the COVID-19 pandemic and green–blue spaces in urban and rural areas in Poland

Environmental Research, Год журнала: 2022, Номер 216, С. 114662 - 114662

Опубликована: Окт. 30, 2022

Язык: Английский

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Peri-urban agriculture and food platformisation: Opportunities and challenges

Journal of Rural Studies, Год журнала: 2025, Номер 115, С. 103568 - 103568

Опубликована: Фев. 6, 2025

Язык: Английский

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Evolutionary and epidemic dynamics of COVID-19 in Germany exemplified by three Bayesian phylodynamic case studies

Bioinformatics and Biology Insights, Год журнала: 2025, Номер 19

Опубликована: Март 1, 2025

The importance of genomic surveillance strategies for pathogens has been particularly evident during the coronavirus disease 2019 (COVID-19) pandemic, as data from causative agent, severe acute respiratory syndrome type 2 (SARS-CoV-2), have guided public health decisions worldwide. Bayesian phylodynamic inference, integrating epidemiology and evolutionary biology, become an essential tool in epidemiological surveillance. It enables estimation parameters, such reproductive number, pathogen sequence alone. Despite approach being widely adopted, abundance models often makes it challenging to select appropriate model specific research questions. This article illustrates application birth-death-sampling using data, with a focus on SARS-CoV-2. Targeting researchers less familiar phylodynamics, introduces comprehensive workflow, including conceptualisation study detailed steps preprocessing postprocessing. In addition, we demonstrate versatility through three case studies Germany, utilising BEAST2 software its implementations. Each addresses distinct question relevant not only SARS-CoV-2 but also other pathogens: Case 1 finds traces superspreading event at start early outbreak, exemplifying how simple can provide information that would otherwise be accessible extensive contact tracing. compares transmission dynamics nosocomial outbreak community transmission, highlighting integrative analysis. 3 investigates whether local patterns align national trends, demonstrating disentangle complex population substructure little additional information. For each study, emphasise critical points where assumptions properties may misalign outline validation assessments. Overall, aim examples epidemiology, balancing theoretical practical aspects.

Язык: Английский

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Subcutaneous Administration of an Endocrine-Mimetic, Slow-Release Protein Material Reduces the Severity of SARS-CoV-2 Infection

Journal of Drug Delivery Science and Technology, Год журнала: 2025, Номер unknown, С. 106813 - 106813

Опубликована: Март 1, 2025

Язык: Английский

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Lockdown Amid COVID-19 Ascendancy over Ambient Particulate Matter Pollution Anomaly

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(20), С. 13540 - 13540

Опубликована: Окт. 19, 2022

Air is a diverse mixture of gaseous and suspended solid particles. Several new substances are being added to the air daily, polluting it causing human health effects. Particulate matter (PM) primary concern among these toxins. The World Health Organization (WHO) addressed fact that particulate pollution affects more severely than other pollutants. spread viruses, two our millennium’s most serious concerns, have been linked closely. Coronavirus disease 2019 (COVID-19) can through air, PM could act as host virus beyond those in close contact. Studies on COVID-19 cover environmental segments become complicated with time. As related everyday life, an essential awareness regarding PM-impacted masses required, which help researchers understand various features ambient pollution, particularly era COVID-19. Given this, present work provides overview recent developments research studies. This review summarizes effect lockdown characteristics transmission mechanism COVID-19, combined repercussions pollution. In addition comprehensive evaluation implementation lockdown, its rationales—based topographic socioeconomic dynamics—are also discussed detail. current expected encourage motivate academics concentrate improving quality management control.

Язык: Английский

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