Modelling Nitrate Pollution Vulnerability in the Brussel’s Capital Region (Belgium) Using Data-Driven Modelling Approaches

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ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org

"Modelling Nitrate Pollution Vulnerability in the Brussel’s Capital Region (Belgium) Using Data-Driven Modelling Approaches"
written by Marnik Vanclooster, Sébastien Petit, Patrick Bogaert, Arlette Lietar,
published by Journal of Water Resource and Protection, Vol.12 No.5, 2020

has been cited by the following article(s):

[1]	Determination of vadose zone and saturated zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning
	2021

[2]	Modelling Flow And Fate Of Contaminants In Groundwater Using A Version Of The Five Steady-State Pollutant Transport Models: A Status-Review
	2021

[3]	Nitrate in groundwater–climate change impact, reduction capacity enhancement, trace element mobilization
	2021

[1]	Determination of vadose zone and saturated zone nitrate lag times using long-term groundwater monitoring data and statistical machine learning Hydrology and Earth System Sciences, 2021 DOI:10.5194/hess-25-811-2021

[2]	Modelling Flow And Fate Of Contaminants In Groundwater Using A Version Of The Five Steady- State Pollutant Transport Models: A Status-Review Journal of Electronics,Computer Networking and Applied Mathematics, 2021 DOI:10.55529/jecnam.11.1.30

[3]	Modelling Flow and Fate of Contaminants in Groundwater Using a Version of the Five Steady- State Pollutant Transport Models Journal of Electronics,Computer Networking and Applied Mathematics, 2021 DOI:10.55529/jecnam.11.1.30

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