一个自下而上的农业排放清单,并通过CMAQ和IASI-NH₃进行分析

一个自下而上的农业排放清单,并通过CMAQ和IASI-NH₃进行分析

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Ezgi Akyuz¹, Fulya Cingiroglu¹, Burcak Kaynak²

¹Eurasia Institute of Earth Sciences, Istanbul Technical University, Istanbul, Turkey.

The Science of the total environment

|August 9, 2024

概括

一个新的自下而上的农业氨 (NH3) 排放清单显著提高了模型的准确性. 这种方法更好地反映了NH3度,并提供了对农业地区PM2.5成分的见解.

科学领域:

大气化学和空气质量研究.
环境科学和农业影响研究.

背景情况:

全球人口的增加增加了畜牧业和肥料的农业排放量.
准确的氨 (NH3) 排放数据对于了解其对空气质量和颗粒物 (PM2.5) 的影响至关重要.

研究的目的:

调查农业氨排放对NH3度的影响.
提供关于农业密集地区的PM2.5水平及其组成部分的见解.
开发和验证一个更准确的NH3自下而上的排放清单.

主要方法:

开发了农田和牲畜的自下而上的排放清单,改善了空间和时间分辨率.
利用社区多尺度空气质量 (CMAQ) 建模框架来模拟NH3度.
模型输出与IASI-NH3卫星检索进行了比较,以验证.

主要成果:

与EMEP库存 (基本情况) 相比,自下而上的库存 (场景情况) 显示了与EMEP库存 (基本情况) 相比显著不同的NH3排放量.
使用Scenario案例的CMAQ模型模拟与IASI-NH3卫星数据密切匹配,表明准确度有所提高.
在IASI热点中,场景案例预测了平均PM2.5成分:1.67μg/m3硫酸盐,0.57μg/m3酸盐和0.62μg/m3.

结论:

从底部向上排放清单方法提供了更可靠的农业NH3排放和大气度的表示.
准确的NH3排放清单对于了解和减轻农业地区空气污染至关重要.
该研究强调了将卫星数据整合到空气质量评估中的模型验证中的有效性.

关键词:

空气质量建模空气质量建模氨气氨气氨气是一种农业排放量自下而上的清单.这就是CMAQQ.简单地说,就是这样.通过卫星检索数据.

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