Review
Environmental Sciences
Dharmendra Singh, Meenakshi Dahiya, Rahul Kumar, Chintan Nanda
Summary: Air quality monitoring and management is crucial for global human health management, and a systematic review of various sensors and systems can enhance our understanding in this field. The application of new technologies such as smart sensors, satellite remote sensing sensors, Geospatial technologies, and computational technologies like machine learning, Artificial intelligence, and Internet of Things (IoT) can improve air quality assessment and management.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Immunology
Yi-Sheng He, Gui-Hong Wang, Qian Wu, Zheng-Dong Wu, Yue Chen, Jin-Hui Tao, Xin-Yu Fang, Zhiwei Xu, Hai-Feng Pan
Summary: The study found a significant association between short-term exposure to NO2 and CO and hospitalizations for acute gout. NO2 was more likely to cause gout in cold seasons.
JOURNAL OF INFLAMMATION RESEARCH
(2021)
Article
Engineering, Chemical
Tara Kuhn, Rohan Jayaratne, Phong K. Thai, Bryce Christensen, Xiaoting Liu, Matthew Dunbabin, Riki Lamont, Isak Zing, David Wainwright, Christian Witte, Donald Neale, Lidia Morawska
Summary: The study aimed to trial low-cost sensors for high-resolution air quality monitoring, with results showing that air quality was good and did not deteriorate during the Commonwealth Games. Involving stakeholders helped raise awareness of the importance of air quality monitoring and increased students' interest in environmental science.
JOURNAL OF AEROSOL SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Mehreen Ahmed, Rafia Mumtaz, Zahid Anwar
Summary: Water quality deterioration is a serious problem in urbanization, and the current water quality index method has limitations. Therefore, an enhanced water quality index method based on machine learning is developed to address this issue. The method includes five steps: parameter selection, sub-index calculation, weight assignment, sub-index aggregation, and classification. Experimental results demonstrate that the proposed method effectively eliminates the uncertainties in the traditional indexing and achieves high accuracy in classifying different parameters.
APPLIED SCIENCES-BASEL
(2022)
Review
Environmental Sciences
Farzane Mohseni, Fatemeh Saba, S. Mohammad Mirmazloumi, Meisam Amani, Mehdi Mokhtarzade, Sadegh Jamali, Sahel Mahdavi
Summary: This paper reviews the application of remote sensing techniques in ocean water quality (OWQ) monitoring, introducing common OWQ parameters and monitoring techniques. The study finds that chlorophyll-a and colored dissolved organic matter are the dominant parameters for OWQ monitoring, and data from optical and passive microwave sensors are effective in estimating OWQ parameters.
MARINE ENVIRONMENTAL RESEARCH
(2022)
Article
Environmental Sciences
John Stephen Gushit, Salamatu Uba Mohammed, Haruna Musa Moda
Summary: The study monitored the indoor air quality of five workstations within a detergent production unit, showing levels of pollution in air particulates, organic compounds, and carbon dioxide. Of particular note were the concentrations of sodium oxide, aluminum oxide, and silicon dioxide in particulate matter. The research indicates that pollution stems from the design of the plant structures and activities carried out within the workstations.
Article
Geochemistry & Geophysics
Linus Scheibenreif, Michael Mommert, Damian Borth
Summary: Air pollution is a global environmental issue that is complex to obtain detailed information about. Researchers have introduced three techniques for estimating air pollution that can overcome limitations and achieve global estimation.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Nasimeh Shahrokhishahraki, Peter Julian Rayner, Jeremy David Silver, Steven Thomas, Robyn Schofield
Summary: This study used global datasets to prepare high-resolution emission inventories for Tehran and simulated the concentrations of air pollutants using the CMAQ modeling system. The model showed strong capabilities in estimating concentrations of NO2, CO, and O-3, with good spatial and temporal distribution representation.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Environmental Sciences
Tuukka Petaja, Aino Ovaska, Pak Lun Fung, Pyry Poutanen, Jaakko Yli-Ojanpera, Jari Suikkola, Mikko Laakso, Taneli Makela, Jarkko Niemi, Jorma Keskinen, Anssi Jarvinen, Joel Kuula, Mona Kurppa, Tareq Hussein, Sasu Tarkoma, Markku Kulmala, Ari Karppinen, Hanna E. Manninen, Hilkka Timonen
Summary: The emerging air quality sensors provide novel insights into the spatio-temporal variability of aerosol particles and trace gases, and their performance is evaluated through various tests and studies to provide calibration equations for fine-tuning of selected pollutants.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Plant Sciences
Weiwei Sun, Qijin He, Jiahong Liu, Xiao Xiao, Yaxin Wu, Sijia Zhou, Selimai Ma, Rongwan Wang
Summary: This study established a scalable annual and inter-annual quality prediction model for summer maize in different growth periods using hierarchical linear modeling (HLM) combined with hyperspectral and meteorological data. Compared to the multiple linear regression (MLR) using vegetation indices (VIs), the HLM showed improved prediction accuracy. The results demonstrated that meteorological factors, especially precipitation, had a significant influence on grain quality.
FRONTIERS IN PLANT SCIENCE
(2023)
Review
Environmental Sciences
Renato Macciotta, Michael T. Hendry
Summary: Transportation infrastructure in mountainous terrain and river valleys are susceptible to various landslide phenomena. Remote sensing techniques offer a way to enhance monitoring tools for geotechnical engineers, improving identification of landslides, complementing in-place instrumentation, and defining landslide extents and deformation mechanisms. The application of these techniques in Western Canada has provided practical insights for risk management strategies in dealing with landslide hazards.
Article
Public, Environmental & Occupational Health
Bita Eslami, Sadaf Alipour, Ramesh Omranipour, Kazem Naddafi, Mohammad Mehdi Naghizadeh, Mansour Shamsipour, Arvin Aryan, Mahboubeh Abedi, Leila Bayani, Mohammad Sadegh Hassanvand
Summary: This study in women in Tehran, Iran found that exposure to environmental air pollutants such as NO2 and CO may be associated with breast density. Further research is needed to evaluate the association between ambient air pollutants and breast density.
ENVIRONMENTAL HEALTH AND PREVENTIVE MEDICINE
(2022)
Article
Chemistry, Analytical
Ivan Popovic, Ilija Radovanovic, Ivan Vajs, Dejan Drajic, Nenad Gligoric
Summary: This paper presents a methodology and architectural framework for building large-scale sensing infrastructure for urban air quality monitoring. The proposed tiered architectural solution based on the fog computing model can handle the processing requirements of a large-scale application while maintaining real-time performance.
Article
Environmental Sciences
Xiao Sun, Yunlin Zhang, Kun Shi, Yibo Zhang, Na Li, Weijia Wang, Xin Huang, Boqiang Qin
Summary: Proximal remote sensing combined with machine learning algorithms showed great potential in monitoring water quality in inland waters with high accuracy. Developed and validated models led to effective and continuous monitoring of various water bodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
M. Pathak, V. K. Patel, J. Kuttippurath
Summary: The COVID-19 lockdown had a significant impact on regional and global air quality. The atmospheric carbon monoxide (CO) column decreased by 5-10% during the lockdown period compared to the pre-lockdown period in regions with high anthropogenic activity. However, this reduction was not observed in areas prone to wildfires and agricultural waste burning. The study highlights the importance of policy decisions and their implementations to improve air quality and protect public health and the environment.
ENVIRONMENTAL POLLUTION
(2023)
Article
Geosciences, Multidisciplinary
M. Kia Kianian
ARABIAN JOURNAL OF GEOSCIENCES
(2014)
Article
Geosciences, Multidisciplinary
Behroz Sobhani, Vahid Safarian Zengir, M. K. Kianian
ARABIAN JOURNAL OF GEOSCIENCES
(2019)
Article
Engineering, Environmental
Aghil Madadi, Atefeh Hoseini Sadr, Abbas Kashani, Ata Ghaffari Gilandeh, Vahid Safarianzengir, Mohammadkia Kianian
Summary: This study aims to monitor and model aerosol temporal and spatial variations in Iran, finding that aerosol values have increased in intensity and frequency over the 20-year time series, with higher intensity in the last 5 years. Remote sensing science was utilized to monitor the effects of aerosols on the environment and human health, identifying areas with high aerosol intensity for careful planning and observation in health protocols.
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
(2021)
Article
Environmental Sciences
Vahid Safarianzengir, Leila Mahmoudi, Roghayeh Maleki Meresht, Behrooz Abad, Kazem Rajabi, Muhammadkia Kianian
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2020)
Article
Environmental Sciences
Leila Mahmoudi, Sahar Amiri Doumari, Vahid Safarianzengir, Rahman Maleki, Saeed Kianinejad, Mohammadkia Kianian
Summary: This study aimed to model and predict the hazardous dust phenomenon in Iran using ANFIS and RBF models. The RBF model showed higher accuracy in predicting dust simulation over the years, particularly identifying western and southwestern stations as more exposed to dust in the future. The TOPSIS model ranked Abadan, Masjed Soleyman, and Ahwaz as the highest priority stations for dust involvement in simulated years.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Plant Sciences
Reyhaneh Azimi, Mohammad Farzam, Mohammad Pessarakli, Mohammad Kia Kianian
JOURNAL OF PLANT NUTRITION
(2018)