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Singh J, Payra S, Mishra MK, Verma S. An analysis of particulate pollution using urban aerosol pollution island intensity over Delhi, India. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:874. [PMID: 36227379 PMCID: PMC9557043 DOI: 10.1007/s10661-022-10573-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 07/12/2022] [Indexed: 06/16/2023]
Abstract
The accent of the present study is determination of Urban Aerosol Pollution Island (UAPI) intensity and spatial variability in particulate matter concentration (PM10 and PM2.5) over Delhi. For analysis, the hourly concentration dataset of PM2.5 and PM10 from January 2019 to December 2020 was obtained from ten air quality monitoring stations of Delhi. Additionally, UAPI Index has been calculated to assess the intensity of particulate pollution. The daily, monthly, and annual variations in the trends of PM10, PM2.5, and UAPI index along with related meteorological parameters have been analyzed. Particulate pollution peaked majorly during two seasons, i.e., summer and winter. The highest concentration of PM10 was observed to be 426.77 µg/m3 while that of PM2.5 was observed to be 301.91 µg/m3 in January 2019 for traffic-affected regions. During winters, higher PM2.5 concentration was observed which can be ascribed to increased local emissions and enhanced secondary particle formations. While the increase in PM10 concentrations led to an increment in pollution episodes during summers over most of the sites in Delhi. The UAPI index was found to be declining in 2020 over traffic affected regions (77.92 and 27.22 for 2019 and 2020, respectively) as well as in the background regions (64.91 and 19.80 for 2019 and 2020, respectively) of Delhi. Low traffic intensity and reduced pollutant emission could have been responsible for the reduction of UAPI intensity in the year 2020. The result indicates that lockdown implemented to control the COVID-19 outbreak led to an unexpected decrease in the PM10 pollution over Delhi.
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Affiliation(s)
- Janhavi Singh
- Department of Environment and Sustainable Development, Banaras Hindu University, Uttar Pradesh, Varanasi, 221105, India
| | - Swagata Payra
- Department of Remote Sensing, Birla Institute of Technology Mesra, Ranchi - 835215, Jharkhand, India
| | - Manoj K Mishra
- Space Application Centre, Indian Satellite Research Organisation (ISRO), Ahmedabad, India
| | - Sunita Verma
- Department of Environment and Sustainable Development, Banaras Hindu University, Uttar Pradesh, Varanasi, 221105, India.
- DST-Mahamana Centre of Excellence in Climate Change Research, Institute of Environment and Sustainable Development, Banaras Hindu University, Uttar Pradesh, Varanasi, India.
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Rajput JS, Trivedi MK. Determination and assessment of elemental concentration in the atmospheric particulate matter: a comprehensive review. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 194:243. [PMID: 35243563 DOI: 10.1007/s10661-022-09833-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Accepted: 01/29/2022] [Indexed: 06/14/2023]
Abstract
The elemental concentrations of atmospheric particulate matter (PM) have a detrimental effect on human health in which some elemental species have carcinogenic nature. In India, significant variations have found in the practices adapted from sampling to analysis for the determination and assessment of the elemental concentration in PM. Therefore, Indian studies (2011-2020) on the related domain are summarized to impart consistency in the field and laboratory practices. Further, a comparative analysis with other countries has also been mentioned in the relevant sections to evaluate its likeness with Indian studies. To prepare this study, literature has been procured from reputed journals. Subsequently, each step from sampling to analysis has thoroughly discussed with quality assurance and control (QA/QC) compliance. In addition, a framework has been proposed that showed field and laboratory analysis in an organized manner. Consequently, this study will provide benefit to novice researcher and improve their understanding about the related subject. Also, it will assist other peoples/bodies in framing the necessary decisions to carry out this study.
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Lin Z, Chen X, Xi Z, Lin S, Sun X, Jiang X, Tian H. Individual heavy metal exposure and birth outcomes in Shenqiu county along the Huai River Basin in China. Toxicol Res (Camb) 2018; 7:444-453. [PMID: 30090594 PMCID: PMC6062375 DOI: 10.1039/c8tx00009c] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 03/06/2018] [Indexed: 12/13/2022] Open
Abstract
Background: Exposure to heavy metals during pregnancy is an important risk factor for adverse birth outcomes. We aimed to investigate the current heavy metal exposure levels in cord blood from healthy pregnant women residing in the Huaihe River Basin, China, and examined the association between heavy metal levels and dietary habits and lifestyle factors. In this study, we measured the exposure levels of five heavy metals in the umbilical cord blood from 350 healthy pregnant women and administered 350 self-reported questionnaires regarding the general characteristics and dietary habits of those women. Methods: This study was undertaken in Shenqiu county, Henan province, which is in the area of the Huai River Basin, in a cohort of pregnant women and newborn babies in 2013-2014. We recruited a sample of 1000 pregnant women among those receiving prenatal examination, measured the real individual newborn exposure to heavy metals in serum by ICP-MS, collected information regarding the pregnant women with a questionnaire survey and obtained data on environmental quality from environmental protection agencies and the available literature. We estimated the daily individual exposure to heavy metals of all the 1000 participants throughout the pregnancy and recorded their birth outcomes after delivery. Then we analyzed the association between birth outcome and individual exposure to heavy metals. Results: 54 newborn children had birth defects. The geometric means of cord blood levels of As, Cd, Cr, Pb and Hg were measured at 0.92 ± 1.01 ng mL-1, 0.11 ± 0.17 ng mL-1, 4.57 ± 5.02 ng mL-1, 3.37 ± 3.81 ng mL-1 and 0.89 ± 1.69 ng mL-1 for subjects (n = 54) who gave birth to infants with birth defects and 0.43 ± 0.88 ng mL-1, 0.52 ± 3.86 ng mL-1, 1.94 ± 2.92 ng mL-1, 4.38 ± 4.96 ng mL-1 and 0.43 ± 0.91 ng mL-1 for subjects (n = 296) with healthy infants, respectively. The contents of all five heavy metals in the whole blood of both of these two groups were higher than the reference values of the Chinese general population (P < 0.001). Conclusions: The occurrence of birth defects was 15.4% in this cohort, and was correlated to exposure of parents to environments containing heavy metal contaminants in Shenqiu county in the Huai River Basin. The heavy metal exposure situation of the investigated population had serious effects in terms of reproductive defects in children. The specific link between newborn defects and environmental heavy metal contaminants suggested that contamination in pregnant women persisted over time, and that the exposure may have a long term effect.
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Affiliation(s)
- Zhiqing Lin
- Key Laboratory of Risk Assessment and Control Technology for Environmental & Food Safety , Tianjin Institute of Environmental & Operational Medicine , Tianjin 300050 , China . ; Tel: +86-022-84655024
| | - Xi Chen
- National Institute of Occupational Health and Poison Control , Chinese Center for Disease Control and Prevention , Panjiayuan Nanli Road 7# , Xuan Wu District , Beijing 100021 , China . ; Tel: +86-010-87714866
| | - Zhuge Xi
- Key Laboratory of Risk Assessment and Control Technology for Environmental & Food Safety , Tianjin Institute of Environmental & Operational Medicine , Tianjin 300050 , China . ; Tel: +86-022-84655024
| | - Shaobin Lin
- National Institute of Occupational Health and Poison Control , Chinese Center for Disease Control and Prevention , Panjiayuan Nanli Road 7# , Xuan Wu District , Beijing 100021 , China . ; Tel: +86-010-87714866
| | - Xin Sun
- Key Laboratory of Chemical Safety and Health , National Institute of Occupational Health and Poison Control , Chinese Center for Disease Control and Prevention , Nan Wei Road 27# , West City District , Beijing 100050 , China
| | - Xiao Jiang
- Key Laboratory of Chemical Safety and Health , National Institute of Occupational Health and Poison Control , Chinese Center for Disease Control and Prevention , Nan Wei Road 27# , West City District , Beijing 100050 , China
| | - Haoyuan Tian
- Key Laboratory of Chemical Safety and Health , National Institute of Occupational Health and Poison Control , Chinese Center for Disease Control and Prevention , Nan Wei Road 27# , West City District , Beijing 100050 , China
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