scholarly journals Nitrous oxide emissions from drying streams and rivers

Author(s):  
D. Tonina ◽  
A. Marzadri ◽  
A. Bellin ◽  
M. M. Dee ◽  
S. Bernal ◽  
...  
2019 ◽  
Vol 10 (2) ◽  
pp. 138-142 ◽  
Author(s):  
Yuanzhi Yao ◽  
Hanqin Tian ◽  
Hao Shi ◽  
Shufen Pan ◽  
Rongting Xu ◽  
...  

2021 ◽  
Author(s):  
Alessandra Marzadri ◽  
Giuseppe Amatulli ◽  
Daniele Tonina ◽  
Alberto Bellin ◽  
Longzhu Q. Shen ◽  
...  

<p>Nitrous oxide, N<sub>2</sub>O, is the leading cause for stratospheric ozone depletion and one of the most potent greenhouse gases. Its emissions from riverine systems have been poorly constrained. Thus, we present a novel conceptual framework that leverages the strength of a data driven machine learning technique and physically based model to predict global nitrous oxide emissions (N<sub>2</sub>O) from streams and rivers worldwide at the reach-scale resolution (about 1-km length). The model accounts for reactant loads, mainly dissolved inorganic nitrogen, biochemical transformation rates, and riverine hydro-morphology. Its high resolution and ability to account for hyporheic, benthic and water column N<sub>2</sub>O contributions identify small streams (those with widths less than 10 m) as a primary source of riverine N<sub>2</sub>O emissions to the atmosphere. These streams contribute nearly 36 GgN<sub>2</sub>O−N/yr, almost 50% of the entire N<sub>2</sub>O emissions from riverine systems, although they account for only 13% of the total riverine surface area worldwide. Large rivers (widths wider than 100 m), such as the main stems of the Mississippi (∼2 GgN<sub>2</sub>O−N/yr) and Amazon River (∼7 GgN<sub>2</sub>O−N/yr), only contribute 30% of global N<sub>2</sub>O emissions, which primarily originate from their water column. Our approach introduces a dimensionless Emission Factor that varies spatially and temporally and can be quantified from standard hydromorphological and water quality data routinely measured in streams and rivers or can be predicted with good accuracy from interpolation methods such as machine learning. This approach can improve the accuracy of climate change models which can account for a better prediction of N<sub>2</sub>O spatial and temporal distribution.</p>


2011 ◽  
Vol 37 (9) ◽  
pp. 1666-1675
Author(s):  
Hai-Ming TANG ◽  
Xiao-Ping XIAO ◽  
Wen-Guang TANG ◽  
Guang-Li YANG

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Khadim Dawar ◽  
Shah Fahad ◽  
M. M. R. Jahangir ◽  
Iqbal Munir ◽  
Syed Sartaj Alam ◽  
...  

AbstractIn this study, we explored the role of biochar (BC) and/or urease inhibitor (UI) in mitigating ammonia (NH3) and nitrous oxide (N2O) discharge from urea fertilized wheat cultivated fields in Pakistan (34.01°N, 71.71°E). The experiment included five treatments [control, urea (150 kg N ha−1), BC (10 Mg ha−1), urea + BC and urea + BC + UI (1 L ton−1)], which were all repeated four times and were carried out in a randomized complete block design. Urea supplementation along with BC and BC + UI reduced soil NH3 emissions by 27% and 69%, respectively, compared to sole urea application. Nitrous oxide emissions from urea fertilized plots were also reduced by 24% and 53% applying BC and BC + UI, respectively, compared to urea alone. Application of BC with urea improved the grain yield, shoot biomass, and total N uptake of wheat by 13%, 24%, and 12%, respectively, compared to urea alone. Moreover, UI further promoted biomass and grain yield, and N assimilation in wheat by 38%, 22% and 27%, respectively, over sole urea application. In conclusion, application of BC and/or UI can mitigate NH3 and N2O emissions from urea fertilized soil, improve N use efficiency (NUE) and overall crop productivity.


Eos ◽  
2008 ◽  
Vol 89 (51) ◽  
pp. 529 ◽  
Author(s):  
Stephen J. Del Grosso ◽  
Tom Wirth ◽  
Stephen M. Ogle ◽  
William J. Parton

2021 ◽  
Author(s):  
Debasish Saha ◽  
Jason P. Kaye ◽  
Arnab Bhowmik ◽  
Mary Ann Bruns ◽  
John M. Wallace ◽  
...  

2021 ◽  
Author(s):  
Arezoo Taghizadeh-Toosi ◽  
Baldur Janz ◽  
Rodrigo Labouriau ◽  
Jørgen E. Olesen ◽  
Klaus Butterbach-Bahl ◽  
...  

2021 ◽  
Vol 156 ◽  
pp. 108197
Author(s):  
Hollie E. Emery ◽  
John H. Angell ◽  
Akaash Tawade ◽  
Robinson W. Fulweiler

Author(s):  
Muhammad Khalid Anser ◽  
Danish Iqbal Godil ◽  
Muhammad Azhar Khan ◽  
Abdelmohsen A. Nassani ◽  
Khalid Zaman ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document