Aircraft‐based CH4 flux estimates for validation of emissions from an agriculturally dominated area in Switzerland

作者
Rebecca Hiller,Bruno Neininger,Dominik Brunner,Christoph Gerbig,Daniel Bretscher,Thomas Künzle,Nina Buchmann,Werner Eugster
出处
期刊:Journal of Geophysical Research [American Geophysical Union]
卷期号:119 (8): 4874-4887 被引量:58
标识
DOI:10.1002/2013jd020918
摘要

For regional‐scale investigations of greenhouse gas budgets the spatially explicit information from local emission sources is needed, which then can be compared with flux measurements. Here we present the first validation of a section of a spatially explicit CH 4 emission inventory of Switzerland. The validation was done for the agriculturally dominated Reuss Valley using measurements from a low‐flying aircraft (50–500 m above ground level). We distributed national emission estimates to a grid with 500 m cell size using available geostatistical data. Validation flux measurements were obtained using the eddy covariance (EC) technique and the boundary layer budgeting (BLB) approach that only uses the mean concentrations of the same aircraft transects. Inventory estimates for the flux footprint of the aircraft measurements were lowest (median 0.40 μg CH 4 m −2 s −1 ), and BLB fluxes were highest (1.02 μg CH 4 m −2 s −1 ) for the Reuss Valley, with EC fluxes in between (0.62 μg CH 4 m −2 s −1 ). Flux estimates from measurements and inventory are within the same order of magnitude, but measured fluxes were significantly larger than the inventory emission estimates. The differences are larger than the uncertainties associated with storage of manure, temperature dependence of emissions, diurnal cycle of enteric fermentation by cattle, and the limitations of the inventory that only covers ≥90% of all expected methane emissions. From this we deduce that it is not unlikely that the Swiss CH 4 emission inventory estimates are too low.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
xiaoyu完成签到,获得积分10
2秒前
在水一方应助小仙旺采纳,获得10
2秒前
科研通AI6.4应助kc135采纳,获得10
2秒前
慕青应助彩笔梯队采纳,获得10
2秒前
大个应助端庄的过客采纳,获得10
2秒前
3秒前
九星完成签到 ,获得积分10
3秒前
ding应助古月方源采纳,获得10
3秒前
zzx发布了新的文献求助10
4秒前
4秒前
少卿发布了新的文献求助10
6秒前
真实的采白完成签到 ,获得积分10
6秒前
pureheart完成签到,获得积分10
6秒前
梁子发布了新的文献求助10
7秒前
傲娇的唇彩完成签到,获得积分10
7秒前
CipherSage应助安详老鼠采纳,获得10
7秒前
cclyfan完成签到,获得积分10
7秒前
kpllll发布了新的文献求助10
8秒前
搜集达人应助张贵虎采纳,获得10
8秒前
飘逸桔子爱做饭关注了科研通微信公众号
9秒前
迷人以山完成签到 ,获得积分10
9秒前
Ava应助顺心秋天采纳,获得10
9秒前
Ava应助kc135采纳,获得10
10秒前
成功的院士完成签到,获得积分10
10秒前
zhu完成签到,获得积分10
11秒前
乐乐完成签到 ,获得积分10
11秒前
12秒前
12秒前
zz完成签到,获得积分10
12秒前
Mal完成签到,获得积分20
12秒前
14秒前
Gavin123完成签到,获得积分20
14秒前
非诚勿扰完成签到 ,获得积分10
15秒前
QAQ完成签到,获得积分10
15秒前
穷鬼爬行完成签到,获得积分20
17秒前
情怀应助lsy采纳,获得10
17秒前
18秒前
18秒前
18秒前
烟熏柿子完成签到,获得积分10
18秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
A Psychological Understanding of Criticism and Mental Health 600
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7753125
求助须知:如何正确求助?哪些是违规求助? 9299911
关于积分的说明 20255495
捐赠科研通 7335360
什么是DOI,文献DOI怎么找? 3310416
关于科研通互助平台的介绍 2461729
邀请新用户注册赠送积分活动 2323382