Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shawn Kuchta"'
Publikováno v:
Vadose Zone Journal, Vol 19, Iss 1, Pp n/a-n/a (2020)
Abstract High NO3 concentrations in the Abbotsford‐Sumas aquifer are linked to raspberry (Rubus idaeus L.) production. Passive capillary wick samplers were used to quantify the impacts of N, irrigation, and alley managements on drainage and NO3 lea
Externí odkaz:
https://doaj.org/article/9cec0cdcacee4f8b98a8bb3f4278e7e1
Publikováno v:
Soil Science Society of America Journal. 85:1139-1156
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::998b4f14c96cfe75d54087244ae92668
https://doi.org/10.1002/saj2.20190
https://doi.org/10.1002/saj2.20190
Publikováno v:
Vadose Zone Journal, Vol 19, Iss 1, Pp n/a-n/a (2020)
High NO3 concentrations in the Abbotsford‐Sumas aquifer are linked to raspberry (Rubus idaeus L.) production. Passive capillary wick samplers were used to quantify the impacts of N, irrigation, and alley managements on drainage and NO3 leaching fro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::214da274c3dded6d0c9df6bac0825256
https://doi.org/10.1002/vzj2.20054
https://doi.org/10.1002/vzj2.20054
Autor:
Bernie J. Zebarth, M. Cathryn Ryan, Shawn Kuchta, Shawn E. Loo, Denise Neilsen, Bernhard Mayer
Publikováno v:
Journal of Environmental Quality. 46:528-536
Source nitrogen (N) identification of leachate or groundwater nitrate is complicated by N source mixing and N and oxygen (O) isotope fractionation caused by microbial N transformations. This experiment examined the δ¹⁵NNO₃ and δ¹⁸ONO₃ val
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42ea24cde35be647c6fadf83fb9a28ef
https://doi.org/10.2134/jeq2016.08.0294
https://doi.org/10.2134/jeq2016.08.0294
Autor:
Denise Neilsen, Bernie J. Zebarth, Bryan A. Tolson, Shawn Kuchta, Sara Esmaeili, Neil R. Thomson
Publikováno v:
Journal of Hydrology. 511:567-579
Summary Sensitivity analysis is a useful tool to identify key model parameters as well as to quantify simulation errors resulting from parameter uncertainty. The Root Zone Water Quality Model (RZWQM) has been subjected to various sensitivity analyses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c07836a723bc524f817c81d8aa76ae05
https://doi.org/10.1016/j.jhydrol.2014.01.051
https://doi.org/10.1016/j.jhydrol.2014.01.051