Guoxian Huang

Prof. Dr. Guoxian Huang


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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24 November 2022 in Science of The Total Environment
Verified
Journal Article
Closed access
PJPinfeng Jiang
Pinfeng Jiang
BDBingjiang Dong
Bingjiang Dong
GHGuoxian Huang
Guoxian Huang
STSichen Tong
Sichen Tong
MZMan Zhang
Man Zhang
GXGuangxiang Xu
Guangxiang Xu

1 October 2021 in Journal of Environmental Management
Verified
Journal Article
Closed access
YLYuanyi Li
Yuanyi Li
XLXinghua Li
Xinghua Li
GHGuoxian Huang
Guoxian Huang
SWShuhang Wang
Shuhang Wang
DLDonghui Li
Donghui Li

10 June 2023 in Environmental Research
Verified
Journal Article
Closed access
XTXiaoya Tang
Xiaoya Tang
SZSidong Zeng
Sidong Zeng
GHGuoxian Huang
Guoxian Huang
STSichen Tong
Sichen Tong
FQFei Qiao
Fei Qiao
XZXingxing Zhang
Xingxing Zhang

12 May 2024 in Journal of Cleaner Production
Verified
Journal Article
Closed access
YNYuxi Nie
Yuxi Nie
GHGuoxian Huang
Guoxian Huang
STSichen Tong
Sichen Tong
WCWei Chen
Wei Chen
YSYonghui Song
Yonghui Song
PJPingfeng Jiang
Pingfeng Jiang

21 February 2022 in Ocean Engineering
Verified
Journal Article
Closed access
PJPinfeng Jiang
Pinfeng Jiang
STSichen Tong
Sichen Tong
GXGuangxiang Xu
Guangxiang Xu
GHGuoxian Huang
Guoxian Huang

1 November 2022 in River
Verified
Journal Article
Open access
GHGuoxian Huang
Guoxian Huang
Roger Alexander FalconerRoger Alexander Falconer
Roger Alexander Falconer
BLBinliang Lin
Binliang Lin
CXChenghui Xu
Chenghui Xu
In this study fecal bacteria processes have been investigated using the EFDC 2D/3D model, based on local refinements using an orthogonal curvilinear grid system and with the model being applied to Ribble river basin, through the estuary, and into the Fylde Coast. The input fluxes from numerous minor rivers and streams within the basin were solved using a grid‐based distributed hydrological model (GDHM) and a river network 1D model (RNM1D), developed by the authors. The detailed measured hydrodynamic data, included tide levels and nearshore ADCP 3D velocity field data at four sites and with data being recorded over a 2‐week period. During this period continuous monitoring using four types of tracers was also undertaken across the Ribble basin, which included sampling for E. coli (EC) and Intestinal Enterococci (IE) parameters. Monitoring devices, in the form of buoys, were also used and moved with currents, driven by upstream discharges, tides, waves and wind. The results showed: (i) the grid system gave a detailed topographical representation of the transition zones from the river system to the estuary and coast, with the hydrodynamic and related solute transport processes being well represented; and (ii) the model predicted results fit generally well with the water stage, 3D flow velocity profiles (with some errors in the bottom and surface layers), and E. coli concentrations. The tracer paths from the injection sites were simulated using a Lagrangian particle tracking method, which showed that the tracer from the north bank outfalls and the Ribble river could propagate to the highly popular bathing beaches at Blackpool, particularly under the action of South Westerly winds. More detailed solutions and refinements (e.g., wave driven by the wind and density flows caused by different salinities, temperatures, and suspended sediment concentrations) need to be considered in the next stage of this study.