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全球耕地氨排放的改进估算。

Improved Estimates of Ammonia Emissions from Global Croplands.

机构信息

College of Urban and Environmental Sciences, and Ministry of Education Laboratory for Earth Surface Processes, Peking University, Beijing 100871, PR China.

Agricultural Clean Watershed Research Group, Chinese Academy of Agricultural Sciences, Institute of Environment and Sustainable Development in Agriculture, Beijing 100081, PR China.

出版信息

Environ Sci Technol. 2021 Jan 19;55(2):1329-1338. doi: 10.1021/acs.est.0c05149. Epub 2020 Dec 30.

Abstract

Reducing ammonia (NH) volatilization from croplands while satisfying the food demand is strategically required to mitigate haze pollution. However, the global pattern of NH volatilization remains uncertain, primarily because of the episodic nature of NH volatilization rates and the high variation of fertilization practices. Here, we improve a global estimate of crop-specific NH emissions at a high spatial resolution using an updated data-driven model with a survey-based dataset of the fertilization scheme. Our estimate of the globally averaged volatilization rate (12.6% ± 2.1%) is in line with previous data-driven studies (13.7 ± 3.1%) but results in one-quarter lower emissions than process-based models (16.5 ± 3.1%). The associated global emissions are estimated at 14.4 ± 2.3 Tg N, with more than 50% of the total stemming from three stable crops or 12.2% of global harvested areas. Nearly three-quarters of global cropland-NH emissions could be reduced by improving fertilization schemes (right rate, right type, and right placement). A small proportion (20%) of global harvested areas, primarily located in China, India, and Pakistan, accounts for 64% of abatement potentials. Our findings provide a critical reference guide for the future abatement strategy design when considering locations and crop types.

摘要

在满足粮食需求的同时减少农田氨气(NH)挥发对于缓解雾霾污染具有战略意义。然而,由于 NH 挥发速率的间歇性和施肥实践的高度变化,全球 NH 挥发模式仍不确定。在这里,我们使用基于调查的施肥方案数据集更新的数据驱动模型,以高空间分辨率提高了对特定于作物的 NH 排放的全球估计。我们对全球平均挥发率(12.6%±2.1%)的估计与以前的数据驱动研究(13.7±3.1%)一致,但比基于过程的模型(16.5±3.1%)的排放量低四分之一。相关的全球排放量估计为 14.4±2.3TgN,其中超过 50%的总排放量来自三种稳定作物或全球收获面积的 12.2%。通过改进施肥方案(正确的施肥率、施肥类型和施肥位置),可减少近四分之三的全球农田 NH 排放。全球收获面积的一小部分(20%),主要位于中国、印度和巴基斯坦,占减排潜力的 64%。我们的研究结果为未来的减排策略设计提供了一个重要的参考指南,在考虑地点和作物类型时,需要考虑这些策略。

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