The relationship between the concentration of carbon dioxide and wind using GIS

Al-Bayati, Russell M.; Adeeb, Haneen Q.; AL-Salihi, Ali M.; AL-Timimi, Yaseen K.

doi:10.1063/5.0027402

Cited by 8 publications

(7 citation statements)

References 4 publications

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“…Essa relação inversa entre a concentração de CO2 e a velocidade do vento, ou seja, quanto maiores os valores de CO2 no ambiente menor terá sido a velocidade dos ventos, já foi relatado por vários autores (Anjos Pantoja et al, 2020;Al-Bayati, Adeeb, Al-Salihi, & Al-Timimi, 2020).…”

Section: Resultsunclassified

Estimativa da concentração de carbono em uma área preservada da Caatinga

Da Silva,

Nogueira,

Rocha

et al. 2023

OLEL

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As mudanças climáticas antropogênicas têm se tornado uma das maiores dificuldades enfrentadas pela humanidade, tendo como consequências os eventos extremos, como por exemplo períodos de seca ou de chuvas intensas, levando a prejuízos econômicos e sociais. Resultado do aumento das emissões de Gases do Efeito Estufa (GEE’s), como é o caso do dióxido de carbono (CO2), o metano (CH4), o óxido nitroso (N2O) e o ozônio (O3), que contribuem para o aquecimento global. Dentre estes GEE’s, o dióxido de carbono é um dos mais emitidos por várias atividades humanas, sabe-se que os solos, oceanos e florestas preservadas, por armazenarem grandes quantidades de CO2, são conhecidos como depósitos de carbono. O bioma Caatinga foi bastante degradado para fins agropastoris ou agricultura de subsistência, se configurando um ambiente que talvez esteja agindo mais como fonte de GEE’s do que como sumidouro. É de suma importância provar a eficiência dessa vegetação no sequestro de carbono. No presente trabalho objetivou-se avaliar a concentração de carbono em uma área preservada da Caatinga e em uma área desmatada, para analisar a contribuição da vegetação da Caatinga no armazenamento (ou sequestro) do carbono, dentro do campus do CCTA/UFCG – Pombal/PB, no período de novembro de 2019 a março de 2020. Foi utilizado um instrumento portátil de leitura direta, através de um sensor infravermelho não dispersivo, de modelo C-02, para medição das concentrações de dióxido de carbono, temperatura do ar e umidade relativa do ar, nos horários de 9h e 14h, semanalmente. Foi possível observar a contribuição da vegetação, apresentando, na área preservada, maiores valores de CO2 em quase todos os dias, em função da capacidade que a vegetação tem em sequestrar carbono.

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Section: Resultsunclassified

Estimativa da concentração de carbono em uma área preservada da Caatinga

Da Silva,

Nogueira,

Rocha

et al. 2023

OLEL

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“…The inverse relationship between CO 2 and wind speed has been suggested by different analyses, such as Al-Bayati et al [31] for satellite observations in Iraq or Dimitriou et al [32], who also presented CH 4 concentrations in the city of Athens. This latter study considers a scatterplot with seasonal concentrations.…”

Section: Daily and Annual Cyclesmentioning

confidence: 90%

Influence of Wind Speed on CO2 and CH4 Concentrations at a Rural Site

Pérez

García

Sánchez

et al. 2021

IJERPH

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Meteorological variables have a noticeable impact on pollutant concentrations. Among these variables, wind speed is typically measured, although research into how pollutants respond to it can be improved. This study considers nine years of hourly CO2 and CH4 measurements at a rural site, where wind speed values were calculated by the METEX model. Nine wind speed intervals are proposed where concentrations, distribution functions, and daily as well as annual cycles are calculated. Contrasts between local and transported concentrations are around 5 and 0.03 ppm for CO2 and CH4, respectively. Seven skewed distributions are applied, and five efficiency criteria are considered to test the goodness of fit, with the modified Nash–Sutcliffe efficiency proving to be the most sensitive statistic. The Gumbel distribution is seen to be the most suitable for CO2, whereas the Weibull distribution is chosen for CH4, with the exponential function being the worst. Finally, daily and annual cycles are analysed, where a gradual decrease in amplitude is observed, particularly for the daily cycle. Parametric and nonparametric procedures are used to fit both cycles. The latter gave the best fits, with the agreement being higher for the daily cycle, where evolution is smoother than for the annual cycle.

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“…In contrast, CO 2 concentrations at the middle troposphere showed much less variation, with a standard deviation of only 0.23 (Figure 3C). The insignificant variations may be associated with horizontal and vertical winds, which transport near-surface CO 2 to the atmosphere and then sufficiently mixed, resulting in a uniform spatial pattern of CO 2 concentrations (Cao et al, 2019;Al-Bayati et al, 2020). In the upper levels of the atmosphere, a distinct gradient of CO 2 concentrations was observed from south to north (Figure 3E).…”

Section: Annual Variationsmentioning

confidence: 98%

“…Frontiers in Environmental Science frontiersin.org effect of local carbon emissions on atmospheric CO 2 with increasing altitude. As a result, we can conclude that the upper levels of atmospheric CO 2 are less affected by local carbon sources and sinks; it is therefore important to take into account the influence of regional atmospheric circulation when conducting the driving force analysis (Sohn et al, 2019;Al-Bayati et al, 2020).…”

Section: Figure 12mentioning

confidence: 99%

A comprehensive evaluation of the spatiotemporal variation of CO2 and its driving forces over China

Jin¹,

Deng²,

Chen³

et al. 2023

Front. Environ. Sci.

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With the improved accuracy and high spatiotemporal resolution, satellite remote sensing has provided an alternative way for monitoring the variations of CO2 in remote areas where field observations are inadequately sampled but the emissions of CO2 are increasing rapidly. Based on CO2 estimates from satellite remote sensing and the atmospheric tracer transport model, this study assessed the spatiotemporal patterns of atmospheric CO2 and its driving forces across China. Results show a consistent increase in CO2 at all levels of the troposphere, with the growth rate exceeding 2.1 ppm/year. Among them, the near surface witnessed obvious spatial heterogeneity with the highest concentrations of CO2 occurring in East China and the lowest in Northwest China. This strong spatial differentiation disappeared with increase in altitude and is replaced by a distinct south–north gradient difference at the upper troposphere. With regard to vertical variations, the concentration and growth rates of CO2 at the lower troposphere are generally higher than those at the upper troposphere. The driving mechanism analysis indicates that the variation of CO2 at the near surface is primarily caused by anthropogenic and biogenic activities, while air motion dominates the distribution of CO2 at the upper troposphere. The findings of the present study could provide a valuable reference for understanding regional carbon cycles and formulating carbon emission reduction strategies on a national scale.

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The relationship between the concentration of carbon dioxide and wind using GIS

Cited by 8 publications

References 4 publications

Estimativa da concentração de carbono em uma área preservada da Caatinga

Estimativa da concentração de carbono em uma área preservada da Caatinga

Influence of Wind Speed on CO2 and CH4 Concentrations at a Rural Site

A comprehensive evaluation of the spatiotemporal variation of CO2 and its driving forces over China

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