Seasonal and annual variations of CO2 and CH4 at Shadnagar, a semi-urban site

Gaddamidi, Sreenivas; Pathakoti, Mahesh; Mahalakshmi, D. V.; Kanchana, Asuri Lakshmi; Chandra, Naveen; Patra, Prabir K.; Raja, P.; Sai, M. V. R. Sesha; Sripada, Suresh; Rao, Preeti; Dadhwal, V. K.

doi:10.1016/j.scitotenv.2022.153114

Cited by 19 publications

(6 citation statements)

References 39 publications

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“…Solar radiation was highest in the pre-monsoon season (923.31 W/m 2 ) and lowest in the monsoon season (576.34 W/m 2 ), as reported by Kanchana et al (2020). Detailed information about meteorological parameters such as temperature, relative humidity, wind speed, wind directions, boundary layer heights, and solar radiation at the study site can be found in the study by Kanchana et al (2020) and Sreenivas et al (2016), Sreenivas et al (2022). Significant sources of greenhouse gases include local crops, vegetation, small-and medium-scale industries, and biomass burning (Sreenivas et al, 2016).…”

Section: Measurement Sitementioning

confidence: 69%

Chemical kinetics of near-surface ozone at a suburban location in India

Sagar,

Kanchana,

Nayak

et al. 2023

Front. Environ. Sci.

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The spatial gradient in near-surface ozone (O3) is controlled by its production, sink, and net transport (advection/convection and diffusive) in the atmosphere. In this work, we used continuous long-term measurements of O3, oxides of nitrogen (NOx = NO + NO2), and meteorological data in the suburban location of Shadnagar, India. Data analyses were performed to investigate the governing processes that control O3 variability on diurnal and seasonal time scales. The role of chemistry in O3 variability, including both formation and destruction processes, was investigated using known chemical kinetics and a radiative transfer model. The residual between observations and chemical estimation was further analyzed to examine the role of transport and unresolved processes/uncertainty in the dataset. The O3 residual was duly validated using model reanalysis data of O3 and meteorological parameters to further estimate the O3 transport. Our analyses show that the average net production and net transport of near-surface O3 are 3.18 and 0.87 ppbv/h, respectively, while horizontal advection is 0.01 ppbv/h in the daytime. The production of ozone was found to be dominant, indicating the influx of ozone at the site. Overall, our results highlight that spatio-temporal variability in near-surface ozone is strongly controlled by net production in Shadnagar and may be applicable in similar environments globally.

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Section: Measurement Sitementioning

confidence: 69%

Chemical kinetics of near-surface ozone at a suburban location in India

Sagar,

Kanchana,

Nayak

et al. 2023

Front. Environ. Sci.

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“…The concentrations are higher in the pre-monsoon season (March-April-May) than in winter (December-January-February). In winter, there was less XCO 2 than in the pre-monsoon, which could be due to reduced CO 2 assimilation due to lower temperatures and solar radiation [6]. From winter to pre-monsoon, the XCH 4 shows less seasonality, with a maximum amplitude change of 0.014 ppm.…”

Section: Daily and Seasonal Variationmentioning

confidence: 94%

“…Due to its steady growth in the atmosphere and uncertainty of source/sink, anthropogenic CH 4 concentration has attracted the interest of the research community over the last decade [4]. Long-term measurements from the National Oceanic and Atmospheric Administration (NOAA) reveal an annual CH 4 increase of 8 ppb year -1 [5] while the present study site showed 10 ppb year -1 [6]. Carbon monoxide (CO) is an ozone precursor gas that also affects climate due to its role in the formation of OH radicals in the atmosphere [7].…”

Section: Introductionmentioning

confidence: 99%

Ground-based Remote Sensing of Total Columnar CO2, CH4, and CO using EM27/SUN FTIR spectrometer at a suburban location in India and validation of Sentinel-5p/TROPOMI

Sagar¹,

Pathakoti²,

D.V.³

et al. 2022

Preprint

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Greenhouse gasses (GHGs) play an important role in controlling local air pollution as well as climate change. In the present study, we retrieved column-averaged dry-air (X) mole fractions of carbon dioxide (CO2), methane (CH4), and carbon monoxide (CO) using a ground-based EM27/SUN Fourier Transform Infrared Spectrometer (FTIR). The EM27/SUN spectrometers are widely in use in the COllaborative Carbon Column Observing Network (COCCON). The PROFFAST software provided by COCCON has been used to analyze the measured atmospheric solar absorption spectra. In this paper, the diurnal variation and the time series of daily averaged XCO2, XCH4, and XCO covering the period December 2020 to May 2021 are analyzed. The maximum values of XCO2, XCH4, and XCO are observed to be 420.57 ppm, 1.93 ppm, and 170.40 ppb respectively. Less diurnal (XCO2 ~0.44 ppm; XCH4=0.004 ppm, and XCO=4.84 ppb) but clear seasonal changes are observed during the study period. The XCH4 and XCO from the Sentinel-5Precursor (S5P)/TROPOspheric Monitoring Instrument (TROPOMI) are compared against the EM27/SUN retrievals. The correlation coefficient ‘r’ between the EM27/SUN retrieved XCH4 and XCO against S5P/TROPOMI are 0.75 and 0.94 respectively.

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“…Over the past decade, the 45 research community has become more interested in anthropogenic CH4 concentration due to its persistent rise in the atmosphere and lack of knowledge regarding its source or sink (Huang et al, 2015). The long-term observations from the National Oceanic and Atmospheric Administration (NOAA) have shown a yearly increase of 8 ppb CH4 year −1 , while Shadnagar an Indian site shows an increase of 10 ppb year −1 (Sreenivas et al, 2022). Though the emissions have increased over 50 the past 20 years, the causes are still not clearly understood.…”

Section: Introductionmentioning

confidence: 99%

Emissions of Methane from Coal, Thermal power plants and Wetlands and its implications on Atmospheric Methane across the South Asian Region

D.Venkata,

Pathakoti,

Kanchana

et al. 2024

Preprint

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Abstract. Atmospheric methane (CH4) is a potent climate change agent responsible for a fraction of global warming. The present study investigated the spatial and temporal variability of atmospheric column-averaged (X) CH4 (XCH4) concentrations using Greenhouse gases Observing SATellite (GOSAT) and TROPOspheric Monitoring Instrument onboard the Sentienl-5 Precursor (S5P/TROPOMI) data from 2009 to 2022 over the South Asia region. During the study period, the long-term trends in XCH4 increased from 1700 ppb to 1950 ppb with an annual growth rate of 8.76 ppb year-1. Among all natural and anthropogenic sources of CH4, the rate of increase in XCH4 was higher over the Mundra thermal power station and Mundra ultra mega power plant at about 9.62 ppb year-1, followed by the coal site at about 8.76 ppb year-1 (Korba). With a growth rate of 8.61 ppb year-1, the Sundarbans natural wetland competes with coal sites, producing over 30 MT, indicating an equivalent anthropogenic source. For the 15 Indian Agroclimatic zones, significant high emissions of CH4 were observed over the Middle Gangetic Plains (MGP), Trans Gangetic Plains (TGP), Upper Gangetic Plains (UGP), East Coast Plains & Hills (ECPH), Lower Gangetic Plains (LGP) and East Gangetic Plains (EGP). Further, the bottom-up anthropogenic CH4 emissions data are mapped against the XCH4 concentrations and found high correlation in the Indo Gangetic Plains (IGP) region, indicating the hotspots of anthropogenic CH4. The present study highlighted the impact of natural and anthropogenic sources of XCH4 and quantified the spatio-temporal changes in XCH4 at each study site over the Indian region.

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Seasonal and annual variations of CO2 and CH4 at Shadnagar, a semi-urban site

Cited by 19 publications

References 39 publications

Chemical kinetics of near-surface ozone at a suburban location in India

Chemical kinetics of near-surface ozone at a suburban location in India

Ground-based Remote Sensing of Total Columnar CO2, CH4, and CO using EM27/SUN FTIR spectrometer at a suburban location in India and validation of Sentinel-5p/TROPOMI

Emissions of Methane from Coal, Thermal power plants and Wetlands and its implications on Atmospheric Methane across the South Asian Region

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