Accuracy and Performance of Three Water Quality Models for Simulating Nitrate Nitrogen Losses under Corn-Reference-Cited by-同舟云学术

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Accuracy and Performance of Three Water Quality Models for Simulating Nitrate Nitrogen Losses under Corn

Published:2006-07 Issue:4 Volume:35 Page:1227-1236
ISSN:0047-2425
Container-title:Journal of Environmental Quality
language:en
Short-container-title:J. Environ. Qual.

Author:

Jabro J. D.¹,Jabro A. D.²,Fox R. H.³

Affiliation:

1. USDA-ARS; Northern Plains Agricultural Research Laboratory; 1500 North Central Avenue Sidney MT 59270

2. Robert Morris University; Moon Township PA 15108

3. Pennsylvania State University; University Park PA 16802

Publisher

Wiley

Subject

Management, Monitoring, Policy and Law,Pollution,Waste Management and Disposal,Water Science and Technology,Environmental Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.2134/jeq2005.0413/fullpdf

Reference57 articles.

1. Computer simulation of changes in soil mineral nitrogen and crop nitrogen during autumn, winter and spring;Addiscott;J. Agric. Sci.,1987

2. Simulation of solute leaching in soils of differing permeabilities;Addiscott;Soil Use Manage.,1991

3. A field test of root zone water quality model-pesticide and bromide behavior;Ahuja;Pestic. Sci.,1996

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1. Modelling of Nutrient Pollution Dynamics in River Basins: A Review with a Perspective of a Distributed Modelling Approach;Geosciences;2021-09-01

2. Nitrate leaching reduced with Dynamic‐Adaptive nitrogen management under contrasting soils and tillage;Soil Science Society of America Journal;2020-01

3. Towards applying N balance as a sustainability indicator for the US Corn Belt: realistic achievable targets, spatio-temporal variability and policy implications;Environmental Research Letters;2019-06-01

4. Dynamic model-based recommendations increase the precision and sustainability of N fertilization in midwestern US maize production;Computers and Electronics in Agriculture;2018-10

5. Dynamic model-based N management reduces surplus nitrogen and improves the environmental performance of corn production;Environmental Research Letters;2018-04-26

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