Comprehensive quantification of global cropland ammonia emissions and potential abatement

Yang, Yuyu; Lei, Liu; Bai, Zhaohai; Xu, Wen; Zhang, Feng; Zhang, Xiuying; Liu, Xuejun; Xie, Yaowen

doi:10.1016/j.scitotenv.2021.151450

Cited by 28 publications

(15 citation statements)

References 59 publications

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“…Future tool development and linkages could consider other emissions sources -such as aviation, open burning, or wildfires -to explore the futures of additional activities that may be underestimated (Pan et al, 2020) or not fully covered by the default inventories used here. Integration with other modeling tools could examine key inter-pollutant or pollutantclimate feedbacks, such as the increased NH 3 emissions rates in a warming world (Yang et al, 2021). External coupling to other ensemble results could address important but out-ofscope elements such as meteorological uncertainty, given its importance in past studies that compared natural variability with other sources of uncertainty in health impacts analysis of air pollution (Pienkosz et al, 2019;Saari et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

A tool for air pollution scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies

Atkinson

Eastham²,

Chen³

et al. 2022

Geosci. Model Dev.

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Abstract. Air pollution is a major sustainability challenge – and future anthropogenic precursor and greenhouse gas (GHG) emissions will greatly affect human well-being. While mitigating climate change can reduce air pollution both directly and indirectly, distinct policy levers can affect these two interconnected sustainability issues across a wide range of scenarios. We help to assess such issues by presenting a public Tool for Air Pollution Scenarios (TAPS) that can flexibly assess pollutant emissions from a variety of climate and air quality actions, through the tool's coupling with socioeconomic modeling of climate change mitigation. In this study, we develop and implement TAPS with three components: recent global and fuel-specific anthropogenic emissions inventories, scenarios of emitting activities to 2100 from the MIT Economic Projection and Policy Analysis (EPPA) model, and emissions intensity trends based on recent scenario data from the Greenhouse Gas–Air Pollution Interactions and Synergies (GAINS) model. An initial application shows that in scenarios with less climate and pollution policy ambition, near-term air quality improvements from existing policies are eclipsed by long-term emissions increases – particularly from industrial processes that combine sharp production growth with less stringent pollution controls in developing regions. Additional climate actions would substantially reduce air pollutant emissions related to fossil fuel (such as sulfur and nitrogen oxides), while further pollution controls would lead to larger reductions for ammonia and organic carbon (OC). Future applications of TAPS could explore diverse regional and global policies that affect these emissions, using pollutant emissions results to drive global atmospheric chemical transport models to study the scenarios' health impacts.

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Section: Discussionmentioning

confidence: 99%

A tool for air pollution scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies

Atkinson

Eastham²,

Chen³

et al. 2022

Geosci. Model Dev.

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“…For calculation of atmospheric NH 3 , studies mainly focus on the NH 3 subsystem, since the processbased modes consider all significant N outputs, including gas emissions (N 2 O, NO, NH 3 ), dissolved soil N and crop uptake in response all relevant cropland N inputs (organic manure, N deposition, nitrogen fixation, crop residues and synthetic N fertilizer). The resulting total NH 3 emissions are then calculated as the product of NH 3 concentration in the soil liquid phase and the parameterized emission coefficients (Yang et al, 2022).…”

Section: Bottom-up Process-based Model Approachmentioning

confidence: 99%

Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations

Chen

Cheng²,

Krol³

et al. 2023

Front. Environ. Sci.

Self Cite

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Ammonia (NH3) emissions from intensive anthropogenic activities is an important component in the global nitrogen cycle that has triggered large negative impacts on air quality and ecosystems worldwide. An accurate spatially explicit high resolution NH3 emission inventory is essential for modeling atmospheric aerosol pollution and nitrogen deposition. However, existing NH3 emission inventories in China are still subject to several uncertainties. In this review we firstly summarize the widely used methods for the estimate of NH3 emissions and discuss their advantages and major limitations. Secondly, we present aggregated data from ten NH3 emission inventories to assess the trends in total anthropogenic NH3 emissions in China over the period 1980–2019. Almost emission estimates reported that NH3 emissions in China have doubled in the last four decades. We find a substantial differences in annual total NH3 emissions, spatial distributions and seasonal variations among selected datasets. In 2012, the median emission (Tg yr−1) and associated minimum-maximum ranges are 12.4 (8.5_17.2) for total emission, 9.9 (8.1_13.8) for agriculture, 0.3 (0.2_1.0) for industry, 0.4 (0.2_1.1) for residential and 0.1 (0.1_0.3) for transport and other emission of 1.5 (0.3_2.6). In general, peak emissions occur in summer but in different months, the higher NH3 emission intensities are concentrated in the NCP area, and in eastern and south-central China but distinct regional discrepancy among selected datasets. Finally, we made an analysis of the reasons and levels of difference in NH3 emission estimates with recommendations for improvement of China’s NH3 emission inventory.

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“…The gaseous emissions from agricultural land play a crucial role in carbon and nitrogen cycling, which is essential for maintaining ecosystem balance. Cropland NH 3 volatilization is the dominant global source of atmospheric NH 3 , and its emissions can negatively impact air quality and cause soil pollution. − However, a large uncertainty exists regarding its contribution to spatiotemporal NH x deposition patterns, which are difficult to estimate using source emission inventory and satellite observations. , Still, these two methods typically rely on static emission coefficients and have longer data updates and lower regional resolution, which does not reflect the real-time dynamic behavior of NH 3 emissions and NH x deposition at the point scales. In comparison, the nitrogen stable isotope composition (δ 15 N) in environmental samples may effectively retain information about relevant emission sources and target pollutant formation processes.…”

Section: Introductionmentioning

confidence: 99%

Large Seasonal Variation in Nitrogen Isotopic Abundances of Ammonia Volatilized from a Cropland Ecosystem and Implications for Regional NH₃ Source Partitioning

Song,

Wang,

et al. 2024

Environ. Sci. Technol.

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Ammonia (NH 3 ) volatilization from agricultural lands is a main source of atmospheric reduced nitrogen species (NH x ). Accurately quantifying its contribution to regional atmospheric NH x deposition is critical for controlling regional air nitrogen pollution. The stable nitrogen isotope composition (expressed by δ 15 N) is a promising indicator to trace atmospheric NH x sources, presupposing a reliable nitrogen isotopic signature of NH 3 emission sources. To obtain more specific seasonal δ 15 N values of soil NH 3 volatilization for reliable regional seasonal NH 3 source partitioning, we utilized an active dynamic sampling technique to measure the δ 15 N-NH 3 values volatilized from maize cropping land in northeast China. These values varied from −38.0 to −0.2‰, with a significantly lower rate-weighted value observed in the early period (May−June, −30.5 ± 6.7‰) as compared with the late period (July−October, −8.5 ± 4.3‰). Seasonal δ 15 N-NH 3 variations were related to the main NH 3 production pathway, degree of soil ammonium consumption, and soil environment. Bayesian isotope mixing model analysis revealed that without considering the seasonal δ 15 N variation in soil-volatilized NH 3 could result in an overestimate by up to absolute 38% for agricultural volatile NH 3 to regional atmospheric bulk ammonium deposition during July−October, further demonstrating that it is essential to distinguish seasonal δ 15 N profile of agricultural volatile NH 3 in regional source apportionment.

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Comprehensive quantification of global cropland ammonia emissions and potential abatement

Cited by 28 publications

References 59 publications

A tool for air pollution scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies

A tool for air pollution scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies

Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations

Large Seasonal Variation in Nitrogen Isotopic Abundances of Ammonia Volatilized from a Cropland Ecosystem and Implications for Regional NH₃ Source Partitioning

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Comprehensive quantification of global cropland ammonia emissions and potential abatement

Cited by 28 publications

References 59 publications

A tool for air pollution scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies

A tool for air pollution scenarios (TAPS v1.0) to enable global, long-term, and flexible study of climate and air quality policies

Trends in anthropogenic ammonia emissions in China since 1980: A review of approaches and estimations

Large Seasonal Variation in Nitrogen Isotopic Abundances of Ammonia Volatilized from a Cropland Ecosystem and Implications for Regional NH3 Source Partitioning

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Product

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Large Seasonal Variation in Nitrogen Isotopic Abundances of Ammonia Volatilized from a Cropland Ecosystem and Implications for Regional NH₃ Source Partitioning