Air pollution is one of the major environmental problems in India, affecting health of thousands of 'urban' residents residing in mega cities. The need of the day is to evolve an 'effective' and 'efficient' air quality management plan (AQMP) encompassing the essential 'key players' and 'stakeholders.' This paper describes the formulation of an AQMP for mega cities like Delhi in India taking into account the aforementioned key 'inputs.' The AQMP formulation methodology is based on past studies of Longhurst et al., (Atmospheric Environment, 30, 3975-3985, 1996); Longhurst & Elsom, ((1997). Air Pollution-II, Vol. 2 (pp. 525-532)) and Beatti et al., (Atmospheric Environment, 35, 1479-1490, 2001). Further, the vulnerability analysis (VA) has been carried out to evaluate the stresses due to air pollution in the study area. The VA has given the vulnerability index (VI) of 'medium to high' and 'low' at urban roadways/intersections and residential areas, respectively.
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http://dx.doi.org/10.1007/s10661-007-9681-7 | DOI Listing |
Environ Monit Assess
January 2025
Environmental Engineering Department, Faculty of Engineering and Natural Sciences, Bursa Technical University, Bursa, Turkey.
E-waste, a global environmental concern, particularly affects developing nations due to the rise in informal recycling practices. This leads to contamination of environmental matrices, posing threats to both ecosystems and human health. To assess this issue, we monitored brominated flame retardants (BFRs) in 164 samples (soil) from 32 informal e-waste operational locations and 9 background locations across nine mega cities of Pakistan from September 2020 to December 2021.
View Article and Find Full Text PDFJ Environ Manage
December 2024
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.
Optimizing an emergency air pollution control strategy for haze events presents a significant challenge due to the extensive computational demands required to quantify the complex nonlinearity associated with controls on diverse air pollutants and regional sources. In this study, we developed a forecasting tool for emergency air pollution control strategies based on a predictive response surface model that quantifies PM responses to emission changes from different pollutants and regions. This tool is equipped to assess the effectiveness of emergency control measures corresponding to various air pollution alerts and to formulate an optimized control strategy aimed at specific PM targets.
View Article and Find Full Text PDFJ Int Med Res
December 2024
Department of Dermatology, Shanghai Fourth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Objective: This study aims to inform the prevention and treatment of infections in China by analyzing the molecular epidemiology and distribution patterns of the pathogen.
Methods: A cross-sectional study was conducted involving a retrospective analysis of 64 clinical strains of isolated from January 2018 to April 2023 across various domestic regions. Patient information was collected from human immunodeficiency virus-positive individuals in multiple hospitals located in 19 cities within China's southeastern coastal and southwestern regions.
Bull Emerg Trauma
January 2024
Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Objective: This qualitative study aimed to identify the key issues within Emergency Medical Services (EMS) in large urban regions.
Methods: This study used qualitative content analysis as its research methodology. The study was conducted in 2023 and involved 21 Iranian EMS stakeholders, selected through purposive sampling with maximum diversity to ensure a broad range of expertise.
J Environ Manage
November 2024
Department of Environmental Science and Engineering, Beijing University of Technology, Beijing, 100124, China; Key Laboratory of Beijing on Regional Air Pollution Control, Beijing, 100124, China.
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