Van Tam Nguyen

Mr. Van Tam Nguyen

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
16 August 2022 in Environmental Modelling & Software
Verified
Journal Article
Closed access
VNVan Tam Nguyen
Van Tam Nguyen
JDJörg Dietrich
Jörg Dietrich
TDThanh Duc Dang
Thanh Duc Dang
DTDang An Tran
Dang An Tran
Doan Van BinhDoan Van Binh
Doan Van Binh
RSRaghavan Srinivasan
Raghavan Srinivasan

20 August 2019 in Environmental Geochemistry and Health
Verified
Journal Article
Closed access
PDF file
DTDang An Tran
Dang An Tran
MTMaki Tsujimura
Maki Tsujimura
PVPhu Le Vo
Phu Le Vo
VNVan Tam Nguyen
Van Tam Nguyen
DKDwight Kambuku
Dwight Kambuku
TDThanh Duc Dang
Thanh Duc Dang

12 February 2021 in Water Resources Research
Verified
Journal Article
Open access
PDF file
VNVan Tam Nguyen
Van Tam Nguyen
Rohini KumarRohini Kumar
Rohini Kumar
SLStefanie R. Lutz
Stefanie R. Lutz
AMAndreas Musolff
Andreas Musolff
JYJie Yang
Jie Yang
JFJan H. Fleckenstein
Jan H. Fleckenstein
StorAge Selection (SAS) functions describe how catchments selectively remove water of different ages in storage via discharge, thus controlling the transit time distribution (TTD) and solute composition of discharge. SAS‐based models have been emerging as promising tools for quantifying catchment‐scale solute export, providing a coherent framework for describing both velocity‐driven and celerity‐driven transport. Due to their application in headwaters only, the spatial heterogeneity of catchment physiographic characteristics, land use management practices, and large‐scale validation have not been adequately addressed with SAS‐based models. Here, we integrated SAS functions into the grid‐based mHM‐Nitrate model (mesoscale Hydrological Model) at both grid scale (distributed model) and catchment scale (lumped model). The proposed model provides a spatially distributed representation of nitrogen dynamics within the soil zone and a unified approach for representing both velocity‐driven and celerity‐driven subsurface transport below the soil zone. The model was tested in a heterogeneous mesoscale catchment. Simulated results show a strong spatial heterogeneity in nitrogen dynamics within the soil zone, highlighting the necessity of a spatially explicit approach for describing near‐surface nitrogen processing. The lumped model could well capture instream nitrate concentration dynamics and the concentration–discharge relationship at the catchment outlet. In addition, the model could provide insights into the relations between subsurface storage, mixing scheme, solute export, and the TTDs of discharge. The distributed model shows results that are comparable to the lumped model. Overall, the results reveal the potential for large‐scale applications of SAS‐based transport models, contributing to the understanding of water quality‐related issues in agricultural landscapes.

26 March 2018 in Hydrological Processes
Verified
Journal Article
Closed access
PDF file
VNVan Tam Nguyen
Van Tam Nguyen
JDJörg Dietrich
Jörg Dietrich

8 September 2021 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
DTDang An Tran
Dang An Tran
MTMaki Tsujimura
Maki Tsujimura
HPHai V. Pham
Hai V. Pham
VNVan Tam Nguyen
Van Tam Nguyen
Loc HoLoc Ho
Loc Ho
VDVan Q. Doan
Van Q. Doan

1 November 2021 in Groundwater for Sustainable Development
Verified
Journal Article
Closed access
DTDang An Tran
Dang An Tran
MTMaki Tsujimura
Maki Tsujimura
HLHo Huu Loc
Ho Huu Loc
DDDuc Huy Dang
Duc Huy Dang
PVPhu Le Vo
Phu Le Vo
VNVan Tam Nguyen
Van Tam Nguyen