Sensitivity Analysis of Parameters in Water Quality Models and Water Environment Management

ISSN Print: 2152-2197
ISSN Online: 2152-2219
www.scirp.org/journal/jep
E-mail: jep@scirp.org

"Sensitivity Analysis of Parameters in Water Quality Models and Water Environment Management"
written by Dongjun Liu, Zhihong Zou,
published by Journal of Environmental Protection, Vol.3 No.8A, 2012

has been cited by the following article(s):

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[5]	Research Article Sensitivity Analysis of the Integral Quality Monitoring SystemD Using Monte Carlo Simulation
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[6]	Assessing the Effectiveness of Land and Water Management Practices on Nonpoint Source Nitrate Levels in an Alluvial Stream-Aquifer System
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[7]	Spatially distributed influence of agro-environmental factors governing nitrate fate and transport in an irrigated stream-aquifer system
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[8]	Spatially distributed influence of agro-environmental factors governing nitrate fate and transport in an irrigated stream–aquifer system.
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[9]	Spatially distributed influence of agro-environmental factors governing nitrate fate and transport in an irrigated stream–aquifer system
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[10]	Spatial and temporal variability of in-stream water quality parameter influence on dissolved oxygen and nitrate within a regional stream network
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[2]	Sensitivity Analysis of the Integral Quality Monitoring System® Using Monte Carlo Simulation Computational and Mathematical Methods in Medicine, 2017 DOI:10.1155/2017/7025281

[3]	Spatially distributed influence of agro-environmental factors governing nitrate fate and transport in an irrigated stream–aquifer system Hydrology and Earth System Sciences, 2015 DOI:10.5194/hess-19-4859-2015

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[5]	Spatially distributed influence of agro-environmental factors governing nitrate fate and transport in an irrigated stream–aquifer system Hydrology and Earth System Sciences, 2015 DOI:10.5194/hess-19-4859-2015

[6]	Spatial and temporal variability of in-stream water quality parameter influence on dissolved oxygen and nitrate within a regional stream network Ecological Modelling, 2014 DOI:10.1016/j.ecolmodel.2014.01.015