A large-scale methane model by incorporating the surface water transport

作者:Lu, XL (Lu, Xiaoliang)[ 1,2 ] ; Zhuang, QL (Zhuang, Qianlai)[ 3 ] ; Liu, YL (Liu, Yaling)[ 4 ] ; Zhou, YY (Zhou, Yuyu)[ 5 ] ; Aghakouchak, A (Aghakouchak, Amir)[ 6 ]

JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES

卷: 121  期: 6  页: 1657-1674

DOI: 10.1002/2016JG003321

出版年: JUN 2016

摘要

The effect of surface water movement on methane emissions is not explicitly considered in most of the current methane models. In this study, a surface water routing was coupled into our previously developed large-scale methane model. The revised methane model was then used to simulate global methane emissions during 2006-2010. From our simulations, the global mean annual maximum inundation extent is 10.61.9km(2) and the methane emission is 29711TgC/yr in the study period. In comparison to the currently used TOPMODEL-based approach, we found that the incorporation of surface water routing leads to 24.7% increase in the annual maximum inundation extent and 30.8% increase in the methane emissions at the global scale for the study period, respectively. The effect of surface water transport on methane emissions varies in different regions: (1) the largest difference occurs in flat and moist regions, such as Eastern China; (2) high-latitude regions, hot spots in methane emissions, show a small increase in both inundation extent and methane emissions with the consideration of surface water movement; and (3) in arid regions, the new model yields significantly larger maximum flooded areas and a relatively small increase in the methane emissions. Although surface water is a small component in the terrestrial water balance, it plays an important role in determining inundation extent and methane emissions, especially in flat regions. This study indicates that future quantification of methane emissions shall consider the effects of surface water transport.

通讯作者地址: Lu, XL (通讯作者)

Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA.

通讯作者地址: Lu, XL (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China.

地址:

[ 1 ] Marine Biol Lab, Ctr Ecosyst, Woods Hole, MA 02543 USA

[ 2 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China

[ 3 ] Purdue Univ, Dept Earth Atmospher & Planetary Sci, W Lafayette, IN 47907 USA

[ 4 ] Pacific Northwest Natl Lab, Joint Global Change Res Inst, College Pk, MD USA

[ 5 ] Iowa State Univ Sci & Technol, Dept Geol & Atmospher Sci, Ames, IA 50011 USA

[ 6 ] Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA