Investigation of the N2O emission strength in the U. S. Corn Belt

Fu, Congsheng; Lee, Xuhui; Griffis, Timothy J.; Dlugokencky, Edward J.; Andrews, Arlyn E.

doi:10.1016/j.atmosres.2017.04.027

Title: Investigation of the N2O emission strength in the U. S. Corn Belt

Full Record
Other Related Research

Authors:: Fu, Congsheng; Lee, Xuhui; Griffis, Timothy J.; Dlugokencky, Edward J.; Andrews, Arlyn E.

Publication Date:: Fri Sep 01 00:00:00 EDT 2017

Sponsoring Org.:: USDOE

OSTI Identifier:: 1419395

Grant/Contract Number:: AC02-05CH11231

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Atmospheric Research

Additional Journal Information:: Journal Name: Atmospheric Research Journal Volume: 194 Journal Issue: C; Journal ID: ISSN 0169-8095

Publisher:: Elsevier

Country of Publication:: Netherlands

Language:: English

Citation Formats


                    Fu, Congsheng, Lee, Xuhui, Griffis, Timothy J., Dlugokencky, Edward J., and Andrews, Arlyn E. Investigation of the N2O emission strength in the U. S. Corn Belt.  Netherlands: N. p., 2017. 
Web.  doi:10.1016/j.atmosres.2017.04.027.

Copy to clipboard


                    Fu, Congsheng, Lee, Xuhui, Griffis, Timothy J., Dlugokencky, Edward J., & Andrews, Arlyn E. Investigation of the N2O emission strength in the U. S. Corn Belt.  Netherlands.  https://doi.org/10.1016/j.atmosres.2017.04.027

Copy to clipboard


                    Fu, Congsheng, Lee, Xuhui, Griffis, Timothy J., Dlugokencky, Edward J., and Andrews, Arlyn E. Fri .  
"Investigation of the N2O emission strength in the U. S. Corn Belt".  Netherlands.  https://doi.org/10.1016/j.atmosres.2017.04.027.

Copy to clipboard


                    
@article{osti_1419395,

  title        = {Investigation of the N2O emission strength in the U. S. Corn Belt},

  author       = {Fu, Congsheng and Lee, Xuhui and Griffis, Timothy J. and Dlugokencky, Edward J. and Andrews, Arlyn E.},

  abstractNote = {},

  doi          = {10.1016/j.atmosres.2017.04.027},

  journal      = {Atmospheric Research},

  number       = C,

  volume       = 194,

  place        = {Netherlands},

  year         = {Fri Sep 01 00:00:00 EDT 2017},

  month        = {Fri Sep 01 00:00:00 EDT 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Publisher's Version of Record
https://doi.org/10.1016/j.atmosres.2017.04.027

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 10 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

Investigation of the N2O emission strength in the U. S. Corn Belt

Journal Article Fu, Congsheng ; Lee, Xuhui ; Griffis, Timothy J. ; ... - Atmospheric Research

Nitrous oxide (N₂O) has a high global warming potential and depletes stratospheric ozone. The U. S. Corn Belt plays an important role in the global anthropogenic N₂O budget. To date, studies on local surface N₂O emissions and the atmospheric N₂O budget have commonly used Lagrangian models. In the present study, we used an Eulerian model - Weather Research and Forecasting Chemistry (WRF-Chem) model to investigate the relationships between N₂O emissions in the Corn Belt and observed atmospheric N₂O mixing ratios. We derived a simple equation to relate the emission strengths to atmospheric N₂O mixing ratios, and used the derived equationmore »« less
https://doi.org/10.1016/j.atmosres.2017.04.027
Relating atmospheric N₂O concentration to N₂O emission strength in the U. S. Corn Belt

Journal Article Fu, Congsheng ; Lee, Xuhui ; Griffis, Timothy J. ; ... - Atmospheric Chemistry and Physics Discussions (Online)

Nitrous oxide (N₂O) has a high global warming potential and depletes stratospheric ozone. The U. S. Corn Belt plays an important role in the global anthropogenic N₂O budget. To date, studies on local surface N₂O emission and the atmospheric N₂O budget have commonly used Lagrangian models. In the present study, we used an Eulerian model – Weather Research and Forecasting Chemistry (WRF-Chem) model to investigate the relationships between N₂O emission in the Corn Belt and observed atmospheric N₂O mixing ratios. Modeled hourly N₂O mixing ratios were combined with continuous atmospheric N₂O measurements at the KCMP tall tower in Minnesota tomore »« less
https://doi.org/10.5194/acp-2016-761

Full Text Available
A Modeling Study of Direct and Indirect N₂O Emissions From a Representative Catchment in the U.S. Corn Belt

Journal Article Fu, Congsheng ; Lee, Xuhui ; Griffis, Timothy J. ; ... - Water Resources Research

Indirect nitrous oxide (N₂O) emissions from drainage ditches and headwater streams are poorly constrained. Few studies have monitored stream N₂O emissions and fewer modeling studies have been conducted to simulate stream N₂O emissions. Here, we determined direct and indirect N₂O emission modules and a corresponding calibration module for use in the Soil and Water Assessment Tool (SWAT) model, and implemented the expanded SWAT model (termed SWAT-N₂O) to a representative fourth-stream-order catchment (210 km²) and six first-order stream catchments (0.22–1.83 km²) in southeastern Minnesota. We simulated the spatial and temporal fluctuations of the indirect emissions from streams, identified emission “hot spots”more »« less
Cited by 26
https://doi.org/10.1029/2017WR022108

Full Text Available
Nitrogen fertilizer management for nitrous oxide (N2O) mitigation in intensive corn (Maize) production: an emissions reduction protocol for US Midwest agriculture

Journal Article Neville, Millar ; G. Philip,Robertson ; Peter R.,Grace ; ... - Mitigation and Adaptation Strategies for Global Change
https://doi.org/10.1007/s11027-010-9212-7
Biochar application as a tool to decrease soil nitrogen losses (NH3 volatilization, N2O emissions, and N leaching) from croplands: Options and mitigation strength in a global perspective

Journal Article Liu, Qi ; Liu, Benjuan ; Zhang, Yanhui ; ... - Global Change Biology

Biochar application to croplands has been proposed as a potential strategy to decrease losses of soil-reactive nitrogen (N) to the air and water. However, the extent and spatial variability of biochar function at the global level are still unclear. Using Random Forest regression modelling of machine learning based on data compiled from the literature, we mapped the impacts of different biochar types (derived from wood, straw, or manure), and their interactions with biochar application rates, soil properties, and environmental factors, on soil N losses (NH3 volatilization, N2O emissions, and N leaching) and crop productivity. The results show that a suitablemore »« less
https://doi.org/10.1111/gcb.14613

Similar Records