Subjects -> HEALTH AND SAFETY (Total: 1541 journals)
    - CIVIL DEFENSE (22 journals)
    - DRUG ABUSE AND ALCOHOLISM (86 journals)
    - HEALTH AND SAFETY (722 journals)
    - HEALTH FACILITIES AND ADMINISTRATION (390 journals)
    - OCCUPATIONAL HEALTH AND SAFETY (108 journals)
    - PHYSICAL FITNESS AND HYGIENE (131 journals)
    - WOMEN'S HEALTH (82 journals)

HEALTH AND SAFETY (722 journals)                  1 2 3 4 | Last

Showing 1 - 200 of 203 Journals sorted alphabetically
16 de Abril     Open Access   (Followers: 4)
Acta Informatica Medica     Open Access   (Followers: 2)
Acta Scientiarum. Health Sciences     Open Access   (Followers: 3)
Adultspan Journal     Hybrid Journal   (Followers: 1)
Advances in Child Development and Behavior     Full-text available via subscription   (Followers: 12)
Advances in Public Health     Open Access   (Followers: 28)
Adversity and Resilience Science : Journal of Research and Practice     Hybrid Journal   (Followers: 3)
African Health Sciences     Open Access   (Followers: 5)
African Journal for Physical, Health Education, Recreation and Dance     Full-text available via subscription   (Followers: 7)
African Journal of Health Professions Education     Open Access   (Followers: 6)
Afrimedic Journal     Open Access   (Followers: 3)
Ageing & Society     Hybrid Journal   (Followers: 47)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 7)
AJOB Empirical Bioethics     Hybrid Journal   (Followers: 3)
Akademika     Open Access   (Followers: 1)
American Journal of Family Therapy     Hybrid Journal   (Followers: 10)
American Journal of Health Economics     Full-text available via subscription   (Followers: 21)
American Journal of Health Education     Hybrid Journal   (Followers: 36)
American Journal of Health Promotion     Hybrid Journal   (Followers: 34)
American Journal of Health Sciences     Open Access   (Followers: 12)
American Journal of Health Studies     Full-text available via subscription   (Followers: 16)
American Journal of Preventive Medicine     Hybrid Journal   (Followers: 32)
American Journal of Public Health     Full-text available via subscription   (Followers: 280)
American Journal of Public Health Research     Open Access   (Followers: 28)
American Medical Writers Association Journal     Full-text available via subscription   (Followers: 6)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 8)
Annales des Sciences de la Santé     Open Access  
Annali dell'Istituto Superiore di Sanità     Open Access  
Annals of Global Health     Open Access   (Followers: 14)
Annals of Health Law     Open Access   (Followers: 6)
Annals of Tropical Medicine and Public Health     Open Access   (Followers: 15)
Applied Biosafety     Hybrid Journal   (Followers: 1)
Applied Research In Health And Social Sciences: Interface And Interaction     Open Access   (Followers: 5)
Apuntes Universitarios     Open Access   (Followers: 1)
Archive of Community Health     Open Access   (Followers: 1)
Archives of Community Medicine and Public Health     Open Access   (Followers: 2)
Archives of Medicine and Health Sciences     Open Access   (Followers: 5)
Archives of Suicide Research     Hybrid Journal   (Followers: 10)
Archivos de Prevención de Riesgos Laborales     Open Access   (Followers: 1)
Arquivos de Ciências da Saúde     Open Access  
Asia Pacific Journal of Counselling and Psychotherapy     Hybrid Journal   (Followers: 11)
Asia Pacific Journal of Health Management     Full-text available via subscription   (Followers: 5)
Asia-Pacific Journal of Public Health     Hybrid Journal   (Followers: 12)
Asian Journal of Gambling Issues and Public Health     Open Access   (Followers: 4)
Asian Journal of Medicine and Health     Open Access   (Followers: 1)
Atención Primaria     Open Access   (Followers: 2)
Atención Primaria Práctica     Open Access   (Followers: 1)
Australasian Journal of Paramedicine     Open Access   (Followers: 6)
Australian Advanced Aesthetics     Full-text available via subscription   (Followers: 4)
Australian Family Physician     Full-text available via subscription   (Followers: 3)
Australian Indigenous HealthBulletin     Free   (Followers: 5)
Autism & Developmental Language Impairments     Open Access   (Followers: 16)
Behavioral Healthcare     Full-text available via subscription   (Followers: 8)
Bijzijn     Hybrid Journal   (Followers: 1)
Bijzijn XL     Hybrid Journal  
Biomedical Safety & Standards     Full-text available via subscription   (Followers: 8)
Biosafety and Health     Open Access   (Followers: 5)
Biosalud     Open Access   (Followers: 1)
Birat Journal of Health Sciences     Open Access  
BLDE University Journal of Health Sciences     Open Access  
BMC Oral Health     Open Access   (Followers: 7)
BMC Pregnancy and Childbirth     Open Access   (Followers: 24)
BMJ Simulation & Technology Enhanced Learning     Hybrid Journal   (Followers: 12)
Boletin Médico de Postgrado     Open Access  
Brazilian Journal of Medicine and Human Health     Open Access  
British Journal of Health Psychology     Hybrid Journal   (Followers: 50)
Buletin Penelitian Kesehatan     Open Access   (Followers: 2)
Buletin Penelitian Sistem Kesehatan     Open Access  
Bulletin of the World Health Organization     Open Access   (Followers: 23)
Cadernos de Educação, Saúde e Fisioterapia     Open Access   (Followers: 1)
Cadernos de Saúde     Open Access   (Followers: 1)
Cadernos Saúde Coletiva     Open Access   (Followers: 1)
Cambridge Quarterly of Healthcare Ethics     Hybrid Journal   (Followers: 14)
Canadian Family Physician     Partially Free   (Followers: 13)
Canadian Journal of Community Mental Health     Full-text available via subscription   (Followers: 14)
Canadian Journal of Human Sexuality     Hybrid Journal   (Followers: 3)
Canadian Journal of Public Health     Hybrid Journal   (Followers: 27)
Cannabis and Cannabinoid Research     Hybrid Journal   (Followers: 2)
Carta Comunitaria     Open Access  
Case Reports in Women's Health     Open Access   (Followers: 4)
Case Studies in Fire Safety     Open Access   (Followers: 25)
CASUS : Revista de Investigación y Casos en Salud     Open Access   (Followers: 1)
Central Asian Journal of Global Health     Open Access   (Followers: 2)
CES Medicina     Open Access  
CES Salud Pública     Open Access   (Followers: 1)
Child Abuse Research in South Africa     Full-text available via subscription   (Followers: 1)
Child's Nervous System     Hybrid Journal  
Childhood Obesity and Nutrition     Open Access   (Followers: 11)
Children     Open Access   (Followers: 2)
CHRISMED Journal of Health and Research     Open Access   (Followers: 2)
Christian Journal for Global Health     Open Access  
Ciência & Saúde Coletiva     Open Access   (Followers: 2)
Ciencia & Salud     Open Access   (Followers: 2)
Ciencia & Trabajo     Open Access   (Followers: 1)
Ciencia e Innovación en Salud     Open Access  
Ciencia y Cuidado     Open Access   (Followers: 1)
Ciencia y Salud     Open Access   (Followers: 4)
Ciencia y Salud Virtual     Open Access  
Ciencia, Tecnología y Salud     Open Access   (Followers: 2)
Cities & Health     Hybrid Journal   (Followers: 2)
Clinical and Experimental Health Sciences     Open Access   (Followers: 1)
ClinicoEconomics and Outcomes Research     Open Access   (Followers: 2)
Clocks & Sleep     Open Access   (Followers: 2)
CME     Hybrid Journal   (Followers: 2)
CoDAS     Open Access  
Community Health     Open Access   (Followers: 6)
Conflict and Health     Open Access   (Followers: 8)
Contraception and Reproductive Medicine     Open Access   (Followers: 2)
Cuaderno de investigaciones: semilleros andina     Open Access   (Followers: 3)
Cuadernos de la Escuela de Salud Pública     Open Access  
Current Opinion in Behavioral Sciences     Hybrid Journal   (Followers: 10)
Current Opinion in Environmental Science & Health     Hybrid Journal   (Followers: 1)
Das österreichische Gesundheitswesen ÖKZ     Hybrid Journal  
Day Surgery Australia     Full-text available via subscription   (Followers: 2)
Design for Health     Hybrid Journal  
Digital Health     Open Access   (Followers: 9)
Disaster Medicine and Public Health Preparedness     Hybrid Journal   (Followers: 14)
Diversity and Equality in Health and Care     Open Access   (Followers: 9)
Diversity of Research in Health Journal     Open Access  
Dramatherapy     Hybrid Journal   (Followers: 3)
Drogues, santé et société     Open Access   (Followers: 2)
Duazary     Open Access   (Followers: 1)
Düzce Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi / Journal of Duzce University Health Sciences Institute     Open Access  
Early Childhood Research Quarterly     Hybrid Journal   (Followers: 26)
East African Journal of Public Health     Full-text available via subscription   (Followers: 4)
Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity     Hybrid Journal   (Followers: 24)
EcoHealth     Hybrid Journal   (Followers: 5)
Education for Health     Open Access   (Followers: 9)
ElectronicHealthcare     Full-text available via subscription   (Followers: 3)
Elsevier Ergonomics Book Series     Full-text available via subscription   (Followers: 5)
Emergency Services SA     Full-text available via subscription   (Followers: 2)
Ensaios e Ciência : Ciências Biológicas, Agrárias e da Saúde     Open Access  
Environmental Disease     Open Access   (Followers: 4)
Environmental Sciences Europe     Open Access   (Followers: 2)
Epidemics     Open Access   (Followers: 5)
Epidemiologic Perspectives & Innovations     Open Access   (Followers: 6)
Epidemiology, Biostatistics and Public Health     Open Access   (Followers: 22)
EsSEX : Revista Científica     Open Access   (Followers: 1)
Estudios sociales : Revista de alimentación contemporánea y desarrollo regional     Open Access   (Followers: 1)
Ethics & Human Research     Hybrid Journal   (Followers: 3)
Ethics, Medicine and Public Health     Full-text available via subscription   (Followers: 7)
Ethiopian Journal of Health Development     Open Access   (Followers: 7)
Ethiopian Journal of Health Sciences     Open Access   (Followers: 8)
Ethnicity & Health     Hybrid Journal   (Followers: 14)
Eurasian Journal of Health Technology Assessment     Open Access  
EUREKA : Health Sciences     Open Access   (Followers: 2)
European Journal of Investigation in Health, Psychology and Education     Open Access   (Followers: 5)
European Medical, Health and Pharmaceutical Journal     Open Access   (Followers: 1)
Evaluation & the Health Professions     Hybrid Journal   (Followers: 10)
Evidence-based Medicine & Public Health     Open Access   (Followers: 9)
Evidência - Ciência e Biotecnologia - Interdisciplinar     Open Access  
Expressa Extensão     Open Access  
Face à face     Open Access   (Followers: 1)
Families, Systems, & Health     Full-text available via subscription   (Followers: 9)
Family & Community Health     Hybrid Journal   (Followers: 14)
Family Medicine and Community Health     Open Access   (Followers: 10)
Family Relations     Partially Free   (Followers: 15)
Fatigue : Biomedicine, Health & Behavior     Hybrid Journal   (Followers: 2)
Finnish Journal of eHealth and eWelfare : Finjehew     Open Access  
Food and Public Health     Open Access   (Followers: 19)
Food Quality and Safety     Open Access   (Followers: 1)
Frontiers in Digital Health     Open Access   (Followers: 2)
Frontiers in Public Health     Open Access   (Followers: 9)
Frontiers of Health Services Management     Partially Free   (Followers: 4)
Gaceta Sanitaria     Open Access   (Followers: 3)
Galen Medical Journal     Open Access   (Followers: 1)
Ganesha Journal     Open Access  
Gazi Sağlık Bilimleri Dergisi     Open Access  
Geospatial Health     Open Access   (Followers: 1)
Gestão e Desenvolvimento     Open Access  
Gesundheitsökonomie & Qualitätsmanagement     Hybrid Journal   (Followers: 9)
Giornale Italiano di Health Technology Assessment     Full-text available via subscription  
Global Advances in Health and Medicine     Open Access  
Global Challenges     Open Access  
Global Health : Science and Practice     Open Access   (Followers: 8)
Global Health Annual Review     Open Access   (Followers: 5)
Global Health Journal     Open Access   (Followers: 2)
Global Health Promotion     Hybrid Journal   (Followers: 17)
Global Journal of Health Science     Open Access   (Followers: 10)
Global Journal of Public Health     Open Access   (Followers: 14)
Global Medical & Health Communication     Open Access   (Followers: 2)
Global Mental Health     Open Access   (Followers: 9)
Global Reproductive Health     Open Access   (Followers: 1)
Global Security : Health, Science and Policy     Open Access   (Followers: 1)
Global Transitions     Open Access   (Followers: 1)
Globalization and Health     Open Access   (Followers: 9)
Hacia la Promoción de la Salud     Open Access  
Hastane Öncesi Dergisi     Open Access  
Hastings Center Report     Hybrid Journal   (Followers: 5)
HCU Journal     Open Access  
HEADline     Hybrid Journal  
Health & Place     Hybrid Journal   (Followers: 19)
Health & Justice     Open Access   (Followers: 6)
Health : An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine     Hybrid Journal   (Followers: 15)
Health and Human Rights     Open Access   (Followers: 10)
Health and Research Journal     Open Access   (Followers: 4)
Health and Social Care Chaplaincy     Hybrid Journal   (Followers: 11)
Health and Social Work     Hybrid Journal   (Followers: 71)
Health Behavior and Policy Review     Full-text available via subscription   (Followers: 5)
Health Behavior Research     Open Access   (Followers: 6)

        1 2 3 4 | Last

Similar Journals
Journal Cover
Air Quality, Atmosphere & Health
Journal Prestige (SJR): 0.862
Citation Impact (citeScore): 3
Number of Followers: 7  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1873-9326 - ISSN (Online) 1873-9318
Published by Springer-Verlag Homepage  [2643 journals]
  • Air-pollutant mass concentration changes during COVID-19 pandemic in
           Shanghai, China
    • Abstract: Abstract To curb the spread of the coronavirus, China implemented lockdown policies on January 23, 2020. The resulting extreme changes in human behavior may have influenced the air pollutants concentration. However, despite these changes, hazy weather persisted in Shanghai and became a public issue. This study aims to investigate air pollutant mass concentration changes during the lockdown in Shanghai. Air pollutant mass concentration data and meteorological data during the pre-lockdown period and the level I response lockdown period were analyzed by statistical analysis and a Lagrangian particle diffusion model. The data was classified in three periods: P1 (pre-lockdown: 10 days before the Spring Festival), P2 (the first 10 days after lockdown: during the Spring Festival celebration), and P3 (the second 10 days after lockdown: after the Spring Festival). Data for the same period in 2019 were used as a reference. The results indicate that the Spring Festival holiday in 2019 resulted in a reduction in energy consumption, which led to a decrease in PM2.5 (26.4%) and NO2 (43.41%) mass concentration, but an increase in ozone mass concentration (31.39%) in P2 compared with P1. The integrated effect of the Spring Festival holiday and lockdown in 2020 resulted in a decrease in PM2.5 (36.5%) and NO2 (51.9%) mass concentrations, but an increase in ozone mass concentration (43.8%) in P2 compared with P1. After the Spring Festival, the mass concentrations of PM2.5, SO2, and NO2 increased by 74.41%, 5.52%, and 53.28%, respectively in P3 compared with P2 in 2019. However, PM2.5 and SO2 concentrations in 2020 continued to decrease, by 14.74% and 4.61%, respectively, while NO2 mass concentration increased by 7.82% in P3 compared with P2. We also found that PM2.5 mass concentration is susceptible to regional transmission from the surrounding cities. PM2.5 and other gaseous pollutants show different correlations in different periods, while NO2 and O3 always show a strong negative correlation. The principal components before the Spring Festival in 2019 were O3 and NO2, and after the Spring Festival, they were PM2.5 and CO, while the principal components before the lockdown in 2020 were PM2.5 and CO, and during lockdown they were O3 and NO2.
      PubDate: 2020-10-21
       
  • Calculation of comfortable thermal conditions for Mersin urban city
           planning in Turkey
    • Abstract: Abstract Computer models that evaluate the formulas of these indices together with environmental factors and human characteristics have been created. Physiological equivalent temperature index and classification summer calculation model used for bioclimatic comfort calculations by obtaining monthly data of General Directorate of State Metrology Stations between 1972 and 2018 in Mersin city center. The results, comfortable monthly intervals, were determined and necessary suggestions were made for the people of Mersin city center in a month. In the calculations, the meteorological parameters such as surface-and-air temperature, wind speed, and relative humidity were taken into consideration. Monthly results show the bioclimatically comfortable area in September and May. There are conditions in Mersin that lead to comfortable perceptions in summer. During the cold period, different levels appear and warm and comfortable thermal conditions are observed. GIS analysis was used to determine the development of thermal perceptions over time. It was calculated between 1972 and 2018. According to these coefficients, there is a tendency to increase in PET values in the regions close to the water in Mersin and to decrease in Mersin, which is the station in rural areas, as a city station.
      PubDate: 2020-10-17
       
  • Formation and driving factors of sulfate in PM 2.5 at a high-level
           atmospheric SO 2 city of Yangquan in China
    • Abstract: Abstract Sulfate constitutes a significant portion of fine particulate matter (PM2.5) in China, and its formation has been of great interest in the environmental and research community in recent years. In this study, PM2.5 sampling was conducted along with gaseous pollutant concentration measurements and meteorological parameters in the city of Yangquan, China, which has high levels of atmospheric sulfur dioxide (SO2), over the course of four seasons in 2018. PM2.5 levels in daily samples ranged from 20.4 to 250.2 μg m−3, with a mean of 75.1 μg m−3. PM2.5 levels in Yangquan exhibited clear seasonal variations, with the highest seasonal average level of 108.2 μg m−3 found in the winter, likely due to coal combustion for heating purposes, and the lowest level of 45.5 μg m−3 in the summer. The results showed that oxidation by ozone (O3) played a major role in the formation of sulfate in the spring, summer, and autumn, while nitrogen dioxide (NO2) oxidation played a major role in the formation of sulfate in the winter. As a precursor of O3, NO2 also played a key role in its formation. Therefore, controlling NO2 emissions could effectively reduce the formation of sulfate in all four seasons via reductions in O3. Meanwhile, reducing SO2 alone did not effectively decrease sulfate levels when the variations in the concentration of NO2 were small, which indicated the importance of NO2 to the formation of sulfate (SO42−) between 2014 and 2018 in Yangquan. Thus, the control and reduction of NO2 emissions should be strengthened, leveraging existing control efforts of SO2 emissions, in order to most efficiently reduce PM2.5.
      PubDate: 2020-10-14
       
  • Association of COVID-19 distribution with air quality, sociodemographic
           factors, and comorbidities: an ecological study of US states
    • Abstract: Abstract This ecological study investigated the association between COVID-19 distribution and air quality index (AQI), comorbidities and sociodemographic factors in the USA. The AQI factors included in the study are total AQI, ozone, carbon monoxide, sulfur dioxide, and nitrogen dioxide (NO2). Other demographic, socioeconomic, and geographic variables were included as covariates. The correlations of COVID-19 variables—proportion of cases and deaths in each population, as well as case fatality rate with independent variables were determined by Pearson and Spearman correlation and multiple linear regression analyses. The results revealed that AQI-NO2, population density, longitude, gross domestic product per capita, median age, total death of disease, and pneumonia per population were significantly associated with the COVID-19 variables (P < 0.05). Air pollutants, especially NO2 in the US case, could be addressed as an important factor linked with COVID-19 susceptibility and mortality.
      PubDate: 2020-10-14
       
  • Effect of COVID-19 outbreak on urban health and environment
    • Abstract: Abstract The WHO announced coronavirus disease a Public Health Emergency on 30 January 2020, and it spreads across the whole planet. Aftermath of outbreak of this disease at the global level is more frightening and panicking than anyone’s worst nightmare. With more than 23 mln positive coronavirus cases and more than 800,000 causalities all over the world, the potential of this virus cannot be undermined. This pandemic has victimized all human beings residing on 209 countries and territories of the world. It emerged as an unbeatable global challenge that the world has never witnessed before. Consequently, the affected countries have sealed their borders and made populations reside in their homes until the pandemic is over. Thus, the victims of coronavirus are not only the ones who are exposed to it but also the ones who are affected by the lockdown imposed by the governments. The paper aims to evaluate the effect of COVID-19 on air pollution of various countries. Papers indicating the relationship between air pollution levels and lockdown measures are analyzed. The dramatic U-turn from environmental degradation is definitely a silver lining in these black clouds. This paper reviews the repercussions of the pandemic in some nations, while war-like preparations continue to fight it. COVID-19 has dramatically improved the quality of air. Also, it has greatly affected the economy of various countries due to lockdown.
      PubDate: 2020-10-10
       
  • Emissions of toxic gases and aerosols in southern Africa observed during
           the 2019 JJASO period
    • Abstract: Abstract There are several different types of sources responsible for the emissions of carbon monoxide (CO), sulphur dioxide (SO2), nitrogen dioxide (NO2) and aerosols in Africa. These emissions make the African continent vulnerable to the impacts on climate change, human health and the environment. It has been shown that the southern African emissions are dominant in the winter season (JJA). However, few studies have been done to study the winter and spring season in unison to understand these emissions. Therefore, in this study, both satellite data, such as Sentinel-5P and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), and reanalysis data from Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2), were used to study emissions in the 2019 JJASO period. Furthermore, the sequential Mann-Kendall (SQMK) test was used to study the trends of SO2, CO, Angstrom exponent and UV aerosol index data during the 2019 JJASO period. The results from sentinel-5P showed the dominance of CO and NO2 in the Democratic Republic of the Congo (DRC) and dominance of SO2 and NO2 in the Republic of South Africa (RSA). These emissions were largely from wildfires and coal-fired power stations, respectively. However, an SO2 hot spot was also observed over the DRC region which was found to be from an active volcano. CALIPSO data agreed with these observations and further showed the maximum vertical distribution of these aerosols and gases to be at ~ 2 km. The SQMK test of Angstrom exponent and UV aerosol index showed that aerosol dominance from emissions change during the JJASO period. Therefore, studying the JJASO period does give a better understanding of emissions in southern Africa.
      PubDate: 2020-10-10
       
  • A novel ensemble reinforcement learning gated unit model for daily PM2.5
           forecasting
    • Abstract: Abstract PM2.5 forecasting is an important scientific way to control environmental pollution and keep people healthy. To achieve high-performance PM2.5 forecasting, a new ensemble reinforcement learning gated unit model is presented in this study. The complete framework of this model mainly includes the following steps: In step I, the WPD method is applied to decompose PM2.5 data into 8 sub-series with different frequency types. In step II, the SAE-GRU method is presented to finish the establishment of sub-series forecasting model. Among them, SAE is used to obtain low-latitude features of PM2.5 data, and GRU is applied to finish PM2.5 sub-series forecasting. In step III, Q-learning is used to combine the every PM2.5 sub-series to get the final model prediction results. By comparing and analyzing the final results of all case study, it can be summarized that (1) Q-learning-based ensemble model integrates the subseries with different frequency types perfectly, and results prove that it is better than heuristic algorithm, and (2) the proposed ensemble reinforcement learning gated unit model can get prediction results beyond seventeen alternative models which include three most state-of-the-art models in all cases.
      PubDate: 2020-10-08
       
  • Application of satellite data and GIS services for studying air pollutants
           in Lithuania (case study: Kaunas city)
    • Abstract: Abstract Satellite remote sensing, with its relatively short history, is going to play a major role in the fields that encompass topics related to place and space. Through this innovation in technology, real-time monitoring and mapping of changing phenomena on the surface of the earth has been possible. The purpose of this study was to investigate and evaluate the Kaunas city air pollutants between 14 and 25 October 2019 using environmental station data and satellite data (Terra, Aqua, OMI, and Sentinel-5P). The data obtained from satellite and the pollutant data gathered from air quality monitoring stations located in different parts of Kaunas were used. The data was downloaded for days mentioned above for the geographical bound of Kaunas city. Each data file covered an area of the size of Lithuania; hence, we should have extracted data for the area of interest, which was Kaunas city. The overall results of this study confirmed the capability of Sentinel-5P data to be used in monitoring the air quality and air pollution over the Kaunas local area. The existence of strong and acceptable correlations between satellite data and in situ measurements was indicative of the ability of satellite images to monitor air pollution, particularly over Kaunas urban areas during the fire incident in the city of Alytus.
      PubDate: 2020-10-08
       
  • Influence of lockdown caused by the COVID-19 pandemic on air pollution and
           carcinogenic content of particulate matter observed in Croatia
    • Abstract: Abstract Due to the pandemic of SARS-CoV-2 in Croatia, all unnecessary activities were prohibited during the designated lockdown period (March–May 2020). With reduced human activity, levels of some air pollutants decreased. In this study, mass concentrations of the PM1 particle fraction (particulate matter with an equivalent aerodynamic diameter < 1 μm) and polycyclic aromatic hydrocarbons (PAHs) in PM1 and NO2 were measured and compared with concentrations measured in the same period the year before. Air pollutant concentrations were measured at two measuring sites: urban residential and urban traffic. Our results show a concentration decrease by 35% for NO2 and PM1 particles and by 26% for total PAHs at the traffic measuring site. At the residential measuring site, only concentrations of NO2 decreased slightly, but PM1 particles and PAHs were similar to the year before.
      PubDate: 2020-10-07
       
  • PM 2.5 chemical composition and geographical origin of air masses in Cape
           Town, South Africa
    • Abstract: Abstract PM2.5 in the indoor and outdoor environment has been linked in epidemiology studies to the symptoms, hospital admissions and development of numerous health outcomes including death. The study was conducted during April 2017 and April 2018. PM2.5 samples were collected over 24 h and every third day. The mean PM2.5 level was 13.4 μg m−3 (range: 1.17–39.1 μg m−3). PM2.5 levels exceeded the daily World Health Organization air quality guideline (25 μg m−3) on 14 occasions. The mean soot level was 1.38 m−1 × 10−5 (range: 0 to 5.38 m−1 × 10−5). Cl−, NO3−, SO42−, Al, Ca, Fe, Mg, Na and Zn were detected in the PM2.5 samples. The geographical origin of air masses that passed Cape Town was estimated using the Hybrid Single Particle Lagrangian Integrated Trajectory software. Four air masses were identified in the cluster analysis: Atlantic-Ocean-WSW, Atlantic-Ocean-SW, Atlantic-Ocean-SSW and Indian-Ocean. The population of Cape Town may experience various health outcomes from the outdoor exposure to PM2.5 and the chemical composition of PM2.5.
      PubDate: 2020-10-07
       
  • A support vector machine model to forecast ground-level PM 2.5 in a highly
           populated city with a complex terrain
    • Abstract: Abstract Physical models are essential to describe the behavior of pollutants especially in high latitudes, and they have been regarded as immensely precise. In the tropics, however, these models have lower accuracy due to the absence of a simple theoretical framework to describe tropical dynamics. Hence, the development of predictive nonlinear models with machine learning has increased, as they are able to quantify the different dynamic processes regarding air quality and to obtain accurate predictions in less computational time than their physical counterpart. This study constructs and evaluates a support vector machine (SVM) to forecast ground-level PM2.5 in a populated city with complex topography. The simulations were built for days with red Air Quality Index (AQI), to assess whether the model could represent the behavior of days with high values and data with fast and substantial changes in the PM2.5 tendency. The SVM is trained with an air quality monitoring network using the radial basis function kernel. A spatial interpolation is also conducted to determine and describe the behavior of the AQI in the city of Bogotá. This work uses statistical scores (root mean square error (9.302 μg/m3), mean BIAS (1.405 μg/m3), index of agreement (0.732), and correlation coefficient (0.654)) to validate the capability of an SVM model of simulating, with high precision, the concentrations of PM2.5 in a city with complex terrain in the short term and also to demonstrate the potential of the SVM to be used as a forecast model in other tropical cities.
      PubDate: 2020-10-02
       
  • Our change of Co-Editor-in-Chief and why the journal’s future is
           bright
    • PubDate: 2020-10-01
       
  • How is COVID-19 affecting environmental pollution in US cities'
           Evidence from asymmetric Fourier causality test
    • Abstract: Abstract This paper aims to examine the effects of the COVID-19 pandemic on PM2.5 emissions in eight selected US cities with populations of more than 1 million. To this end, the study employs an asymmetric Fourier causality test for the period of January 15, 2020 to May 4, 2020. The outcomes indicate that positive shocks in COVID-19 deaths cause negative shocks in PM2.5 emissions for New York, San Diego, and San Jose. Moreover, in terms of cases, positive shocks in COVID-19 cause negative shocks in PM2.5 emissions for Los Angeles, Chicago, Phoenix, Philadelphia, San Antonio, and San Jose. Overall, the findings of the study highlight that the pandemic reduces environmental pressure in the largest cities of the USA. This implies that one of the rare positive effects of the virus is to reduce air pollution. Therefore, for a better environment, US citizens should review the impact of current production and consumption activities on anthropogenic environmental problems.
      PubDate: 2020-10-01
       
  • Association of short-term exposure to air pollution with mortality in a
           middle eastern tourist city
    • Abstract: Abstract This study investigated the association of short-term exposure to PM10, PM2.5, NO2, O3, and CO with daily all-cause, cardiovascular, ischemic heart disease (IHD), cerebrovascular, and respiratory deaths in Mashhad, a tourist megacity in Iran (2014–2018). A distributed-lag-day, nonlinear model (DLNM) and generalized additive model (GAM) based on the quasi-Poisson distribution were used to explore the exposure-lag-day-response associations. The average (± standard deviation) concentrations of PM10, PM2.5, NO2, O3, and CO were 67.1 (± 35.5), 29.6 (± 14.2), 57.3 (± 24.1), 55.9 (± 16.9), and 1907.6 (± 1362.7) μg/m3, respectively. NO2 was associated with IHD mortality in lag-days 0 to 0–7, and lag-day 1. The relative risks (RRs) for a 10 μg/m3 increase in NO2 ranged from 1.01 (95% CI 0.93, 1.11) at lag-day 0 to 1.04 (95% CI 0.94, 1.16) and 1.03 (95% CI 0.93, 1.14) for lag-day 0–1 (cumulative) and lag-day 1 (non-cumulative), respectively. For all-cause mortality, cumulative exposure to PM2.5 for lag-day 0–7 (1.07, 95% CI 1.00, 1.15) and non-cumulative exposure to NO2 at lag-day 6 (1.02, 95% CI 1.00, 1.03) were significant. Exposure to PM10 (per 10 μg/m3) was significantly associated with respiratory mortality at several lag-days. Adjusting for Ramadan did not significantly affect the results. PM10 had significant associations with respiratory mortality of people > 65 years old, and men for several lag-days. For IHD, NO2 affected older people, and men and women over different lag-days. Results of multi-pollutant models were similar to the single-pollutant model outcomes. In conclusion, NO2 and PM10 had more significant relationships with adverse health outcomes than the other pollutants.
      PubDate: 2020-10-01
       
  • Climatic causes of dangerous hydrological phenomena in the Altai region
    • Abstract: Abstract The research objective is to analyze the causes of the catastrophic rise in the water level of rivers in the Katun River basin (the territory of the Altai Republic) in 2014. The research was conducted through the consideration of the impact factors that lead to flooding of the territory. The moisture regime is analyzed, as well as the change in the air temperature of the considered basin. It is established that the flood in several areas of the Altai Republic located in the Katun River basin was caused by the cumulative effect of the natural and anthropogenic factors, which created the emergency situation, with the dominating natural one—the record high precipitation for the entire period of instrumental monitoring. The general reason for such prolonged and intense precipitation was the extensive stationary cyclone, which spread to most of the Altai Mountains due to the blocking role of the high-level anticyclone spread from the southeast to the western and central parts of Russia in the last third of May–the first third of June 2014.
      PubDate: 2020-10-01
       
  • Regional differences of air pollution in China: comparison of clustering
           analysis and systematic clustering methods of panel data based on gray
           relational analysis
    • Abstract: Abstract Ecological environment deterioration caused by air pollution (AP) seriously threatens human life and health, with academic circles focusing on how to improve AP control efficiency, promote regional collaborative regulatory control of AP, and ensure the safety of human life. This research thus uses time-based systematic clustering of cross-sectional data and gray correlation clustering of panel data to analyze AP situations and regional differences (RD) via AP index data of 31 provinces and cities in China from 2014 to 2018. The results show that the air quality of these provinces and cities has improved and that the concentration of pollutants has declined to varying degrees, but AP in Beijing, Tianjin, and other places is still more serious. While the effect of AP improvement in some areas is not distinct, the trend of regional AP continues to be quite serious. This paper reveals current RD of AP in China and offers some suggestions and recommendations on pollution control, such as further optimizing the industrial structure and energy consumption structure and improving people’s concept of ecological civilization.
      PubDate: 2020-10-01
       
  • Association between maternal exposure to air pollution before conception
           and sex determination in the city of São Paulo
    • Abstract: Abstract It has been widely demonstrated that air pollution can affect human health and that some pollutant gases can have negative impacts on female fertility rates and cause adverse obstetric outcomes, such as premature birth and low birth weight. Few studies have evaluated the impact of maternal exposure to urban air pollution on the number of female births. To evaluate the association between maternal exposure to air pollution during the year before conception and sex determination. This was a prospective study using low-risk pregnant women living in Sao Paulo, Brazil. The pollutants were measured by a fixed station during a 1-year period before conception. Sex was confirmed after birth. We used multiple logistic regression models to evaluate the association between the pollutants and the sex determination and to estimate the odds ratio (OR) and the 95% confidence interval (CI) of being female based on a quantitative increase in pollutant concentration. We evaluated 371 patients. Elevated exposure to nitrogen dioxide (NO2) and particulate matter lower than 10 μm (PM10) prior to conception were associated with increased odds of being female. Each unit increase of NO2 exposure increased the odds of being female by 8% (OR = 1.08, 95% CI = 1.02, 1.15, p = 0.008), and each unit increase of PM10 increased the odds of being female by 14% (OR = 1.14, 95% CI 1.02 to 1.28, p = 0.021). In Sao Paulo, maternal exposure to pollutants was significantly associated with the odds of being female.
      PubDate: 2020-10-01
       
  • Applicability of machine learning in modeling of atmospheric particle
           pollution in Bangladesh
    • Abstract: Abstract Atmospheric particle pollution causes acute and chronic health effects. Predicting the concentrations of PM2.5 and PM10, therefore, is a prerequisite to avoid the consequences and mitigate the complications. This research utilized the machine learning (ML) models such as linear-support vector machine (L-SVM), medium Gaussian-support vector machine (M-SVM), Gaussian process regression (GPR), artificial neural network (ANN), random forest regression (RFR), and a time series model namely PROPHET. Atmospheric NOX, SO2, CO, and O3, along with meteorological variables from Dhaka, Chattogram, Rajshahi, and Sylhet for the period of 2013 to 2019, were utilized as exploratory variables. Results showed that the overall performance of GPR performed better particularly for Dhaka in predicting the concentration of both PM2.5 and PM10 while ANN performed best in case of Chattogram and Sylhet for predicting PM2.5. However, in terms of predicting PM10, M-SVM and RFR were selected respectively. Therefore, this study recommends utilizing “ensemble learning” models by combining several best models to advance application of ML in predicting pollutants’ concentration in Bangladesh.
      PubDate: 2020-10-01
       
  • A study of the effects of CO, NO 2 , and PM 10 emissions from the Oman
           Liquefied Natural Gas (LNG) plant on ambient air quality
    • Abstract: Abstract Liquefied natural gas (LNG) plants emit enormous amount of emission such as nitrogen dioxide (NO2), carbon monoxide (CO), and particulate matters (PM10). The Oman LNG LLC is the main provider of LNG and it is the largest contributor to Oman’s national economy. In November 2005, the Oman LNG commissioned a third train with a capacity of 3.3 mtpa of LNG. Only few studies have investigated atmospheric levels of pollutants released from the Oman LNG after the third train became operational. The aim of this paper, therefore, was to study the effect of ground-level concentrations of NO2, CO, and PM10 expelled from the Oman LNG’s operations on ambient air quality in the winter and summer seasons using the CALPUFF dispersion modelling system. The results indicated that the ground-level concentrations of NO2 for 1-h period in the winter and summer seasons at 2027.4 μg/m3 and 625.54 μg/m3, respectively, were significantly higher than the United States Environmental Protection Agency (US EPA) concentration limits at 188.2 μg/m3. However, the average concentrations of CO and PM10 for a 1-h exposure period were within the US EPA’s permissible standards. The results of this paper show that the Oman LNG plant’s operations are not in agreement with US EPA regulations, and major actions must be taken by the facility and the government to prevent environmental impacts on Oman’s air quality.
      PubDate: 2020-10-01
       
  • Monitoring and analysis of the effects of atmospheric temperature and heat
           extreme of the environment on human health in Central Iran, located in
           southwest Asia
    • Abstract: Abstract Investigation of temperature extremes is very important as one of the most important climate parameters in different parts. If exposed to enough heat, humans will suffer from extreme heat. Maximum temperature and heat can adversely affect many living organisms. The effects of extreme heat on people with chronic lung disease, including asthma and emphysema, are greater; even for people with healthy lungs, outdoor activities are not recommended during high ozone levels. The purpose of this study is to monitor and analyze the effects of atmospheric temperature extreme and extreme heat on human health in Central Iran. Therefore, the minimum and maximum data of 15 synoptic stations in the study area for the period (1988–2018) using hybrid artificial neural network (HANN) and adaptive neuro-fuzzy inference system (ANFIS) models were used. Finally, multi-criteria decision-making (MCDM) models TOSIS and SAW were used to prioritize the areas exposed to rising temperature. The results showed that according to ANFIS modelling for predicting extreme temperatures, the lowest mean training error and the mean error of validation for the minimum temperature were equal to 0.10 for the Yazd Station and 1.66% for the Damghan station. The lowest mean training error and the mean error of validation for the maximum extreme temperature obtained 0.016 for the Garmsar station and 9.39% for the Shahroud station. The maximum extreme temperature of two stations of Garmsar and Bafgh (1 and 0.9689, respectively) was more exposed to extreme temperatures based on the TOPSIS model. Garmsar and Salafchegan Stations (1 and 0.9873, respectively) were more exposed to extreme temperatures based on the SAW model. Climate change is fundamentally changing the Earth’s climate system in a way that directly and indirectly endangers human physical and mental health. Severe increase in temperature is directly associated with death from cardiovascular and respiratory diseases, especially in the elderly. Also in the study area, the house is a place for peace and comfort for every human being. Climatic and weather conditions have a direct impact on creating a sense of comfort in any architectural space. Proper heating and air conditioning in the interior of the building is another case of architecture that will not be easy because this architectural issue is related to the comfort or non-comfort of man, and the concepts of heat or cold are mostly due to the natural feeling of man and his physiological conditions. The rising trend of thermal stresses in the studied stations increases the need to pay attention to the issue of thermal stresses and the spread of diseases (heat attack, syncope, and muscle cramps) in terms of crisis planning and management.
      PubDate: 2020-10-01
       
 
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