Emission factors of atmospheric and climatic pollutants from crop residues burning

Rosa, Naxieli Santiago-de la; González-Cardoso, Griselda; Figueroa-Lara, José de Jesús; Gutiérrez-Arzaluz, Mirella; Villasana, Claudia A. Octaviano; Ramírez-Hernández, Irma Fabiola; Múgica-Álvarez, Violeta

doi:10.1080/10962247.2018.1459326

Cited by 43 publications

(15 citation statements)

References 83 publications

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“…Studies by [67] showed that for particular grasslands such as montane grasslands, regular (i.e., annual) burning is beneficial for long-term productivity, while other studies [66,68,69] indicated that the burning of semi-arid grasslands may have drastic impacts on grazing capacity, basal cover, productivity and increases the intensity of seasonal droughts. On the other hand, extensive and frequent burning of Rainfed croplands during DJF and SON can be attributed to the burning of post-harvest crop residuals in preparation for the next season [70,71]. The results also suggest that the burning of croplands often extends to other land cover types such as natural Furthermore, the results show that Grasslands are largely burned during JJA and SON, evidenced by higher BA with a total BA of~305,757 km 2 and~208,469 km 2 , respectively.…”

Section: Seasonal Effects Of Wildfires On Land Surface Dynamicsmentioning

confidence: 99%

Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis

Kganyago

Shikwambana

2019

Sustainability

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Globally, wildfires are considered the most commonly occurring disasters, resulting from natural and anthropogenic ignition sources. Wildfires consist of burning standing biomass at erratic degrees of intensity, severity, and frequency. Consequently, wildfires generate large amounts of smoke and other toxic pollutants that have devastating impacts on ambient air quality and human health. There is, therefore, a need for a comprehensive study that characterizes land-atmosphere interactions with regard to wildfires, critical for understanding the interrelated and multidimensional impacts of wildfires. Current studies have a limited scope and a narrow focus, usually only focusing on one aspect of wildfire impacts, such as air quality without simultaneously considering the impacts on land surface changes and vice versa. In this study, we use several multisource data to determine the spatial distribution, frequency, disturbance characteristics of and variability and distribution of pollutants emitted by wildfires. The specific objectives were to (1) study the sources of wildfires and the period they are prevalent in sub-Saharan Africa over a 9 year period, i.e., 2007-2016, (2) estimate the seasonal disturbance of wildfires on various vegetation types, (3) determine the spatial distribution of black carbon (BC), carbon monoxide (CO) and smoke, and (4) determine the vertical height distribution of smoke. The results show largest burned areas in December-January-February (DJF), June-July-August (JJA) and September-October-November (SON) seasons, and reciprocal high emissions of BC, CO, and smoke, as observed by Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). In addition, the results reveal an increasing trend in the magnitude of BC, and CO concentration driven by meteorological conditions such as low precipitation, low relative humidity, and low latent heat flux. Overall, this study demonstrates the value of multisource remotely sensed data in characterising long-term wildfire patterns and associated emissions. The results in this study are critical for informing better regional fire management and air quality control strategies to preserve endangered species and habitats, promote sustainable land management, and reduce greenhouse gases (GHG) emissions.

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Section: Seasonal Effects Of Wildfires On Land Surface Dynamicsmentioning

confidence: 99%

Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis

Kganyago

Shikwambana

2019

Sustainability

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“…In many countries, biomass burning is a common agricultural practice for elimination of post-harvesting residues [13]. However, it involves an inefficient combustion process that generates atmospheric pollutants emissions causing health and climate change problems [42]. The field burning of agricultural residues is a rather small problem in Annex I countries.…”

Section: Discussionmentioning

confidence: 99%

Analysis of Sources and Trends in Agricultural GHG Emissions from Annex I Countries

Wójcik‐Gront

2020

Atmosphere

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The vast majority of the scientific community believe that anthropogenic greenhouse gas (GHG) emissions are the predominant cause of climate change. One of the GHG emission sources is agriculture. Following the International Panel on Climate Change (IPCC) guidelines regarding GHG emission calculation, agriculture is responsible for around 10% of the overall global emissions. Agricultural GHG emissions consist of several emission source categories and several GHGs. In this article were described the results of multivariate statistical analyses performed on data gathered during the period 1990–2017 from the inventories of 43 Annex I countries (parties to the United Nations Framework Convention on Climate Change, UNFCCC, listed in Annex I of the Convention). Trends in the agricultural GHG emissions were analyzed. Generally, the global agricultural GHG emissions are increasing, while the emissions from Annex I countries are decreasing. Apart from the application of urea, emissions from all other sources, such as enteric fermentation, manure management, rice cultivation, agricultural soils, field burning of agricultural residues, and liming are decreasing. Based on multivariate analysis, the most different countries, in terms of GHG emission sources composition in agriculture and emission trends, are Australia, Japan, New Zealand and USA. The rest of the Annex I countries are mostly from Europe and their shares and trends are similar, with slight differences between countries depending, among others, on the date of joining the European Union.

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“…YUE and GAO [36] have compared the global annual GHG emissions from natural systems with those generated by human activity. Humans were accounted for about 90 percent of biomass combustion, mostly from deliberately ignited forest fires as part of the clearing and burning of pastures.…”

Section: Afolu and Ghg Emissionsmentioning

confidence: 99%

“…Humans were accounted for about 90 percent of biomass combustion, mostly from deliberately ignited forest fires as part of the clearing and burning of pastures. Nevertheless, burning biomass to clear land for agriculture is also a common practice that produces CO2 and other local pollutants [36].…”

Section: Afolu and Ghg Emissionsmentioning

confidence: 99%

Contribution of Agriculture, Forestry, and Other Land Use to Climatic Phenomena Through GHG Emissions in Burundi. Empirical Evidence From the ARDL Approach

Aboyitungiye¹,

Suryanto²,

Gravitiani³

et al. 2021

Preprint

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In a world where we live in a climatic hazard disaster, understanding human activities' impact on the environment becomes crucial, especially for developing countries. This study addresses this issue through the prism of carbon dioxide emissions (CO2) by examining how the growth of agricultural, forestry, and other land-use activities affects the environment. This study examines the long-term relationship between CO2 emissions and agriculture, forestry, and other land use by introducing other explanatory variables such as income per capita and population for 1970-2016. The econometric analysis results confirm a positive long-term relationship between CO2 emissions and agriculture, forestry, and other land use. The Granger causality tests show that this relationship's direction goes from agriculture, forestry, and other land use to CO2 emissions. For a developing country like Burundi, it is the growth of agricultural, forestry, and other land-use activities that determine GHG emissions level and not the other way around. Moreover, the ARDL model results adopted in this study validate our hypothesis, which assumes that Burundi has not yet reached its turning point in CO2 emissions due to economic growth. A low-carbon policy in favor of the environment can be implemented, and this cannot risk any negative repercussions on economic growth.

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Emission factors of atmospheric and climatic pollutants from crop residues burning

Cited by 43 publications

References 83 publications

Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis

Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis

Analysis of Sources and Trends in Agricultural GHG Emissions from Annex I Countries

Contribution of Agriculture, Forestry, and Other Land Use to Climatic Phenomena Through GHG Emissions in Burundi. Empirical Evidence From the ARDL Approach

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