Cited by A Bayesian approach of high impaired river reaches identification and total nitrogen load estimation in a sparsely monitored basin

Real-time probabilistic forecasting of river water quality under data missing situation: Deep learning plus post-processing techniques DOI

Yanlai Zhou

Journal of Hydrology, Journal Year: 2020, Volume and Issue: 589, P. 125164 - 125164

Published: June 9, 2020

Language: Английский

Citations

152

A novel approach for estimating and predicting uncertainty in water quality index model using machine learning approaches DOI

Md Galal Uddin, Stephen Nash, Azizur Rahman

et al.

Water Research, Journal Year: 2022, Volume and Issue: 229, P. 119422 - 119422

Published: Nov. 25, 2022

With the significant increase in WQI applications worldwide and lack of specific application guidelines, accuracy reliability models is a major issue. It has been reported that produce uncertainties during various stages their including: (i) water quality indicator selection, (ii) sub-index (SI) calculation, (iii) weighting (iv) aggregation sub-indices to calculate overall index. This research provides robust statistically sound methodology for assessment model uncertainties. Eight are considered. The Monte Carlo simulation (MCS) technique was applied estimate uncertainty, while Gaussian Process Regression (GPR) algorithm utilised predict at each sampling site. functions were found contribute considerable uncertainty hence affect - they contributed 12.86% 10.27% summer winter applications, respectively. Therefore, selection function needs be made with care. A low less than 1% produced by processes. Significant statistical differences between functions. weighted quadratic mean (WQM) provide plausible coastal waters reduced levels. findings this study also suggest unweighted root means squared (RMS) could potentially used quality. Findings from inform range stakeholders including decision-makers, researchers, agencies responsible monitoring, management.

Language: Английский

Citations

142

A sophisticated model for rating water quality DOI

Md Galal Uddin, Stephen Nash, Azizur Rahman

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 868, P. 161614 - 161614

Published: Jan. 18, 2023

Here, we present the Irish Water Quality Index (IEWQI) model for assessing transitional and coastal water quality in an effort to improve method develop a tool that can be used by environmental regulators abate pollution Ireland. The developed has been associated with adoption of standards formulated waterbodies according framework directive legislation regulator water. consists five identical components, including (i) indicator selection technique is select crucial indicator; (ii) sub-index (SI) function rescaling various indicators' information into uniform scale; (iii) weight estimating values based on relative significance real-time quality; aggregation computing index (WQI) score; (v) score interpretation scheme state quality. IEWQI was Cork Harbour, applied four Ireland, using 2021 data summer winter seasons order evaluate sensitivity terms spatio-temporal resolution waterbodies. efficiency uncertainty were also analysed this research. In different magnitudes domains, shows higher application domains during winter. addition, results reveal architecture may effective reducing avoid eclipsing ambiguity problems. findings study could efficient reliable assessment more accurately any geospatial domain.

Language: Английский

Citations

An export coefficient based inexact fuzzy bi-level multi-objective programming model for the management of agricultural nonpoint source pollution under uncertainty DOI

Yanpeng Cai,

Qiangqiang Rong,

Zhifeng Yang

et al.

Journal of Hydrology, Journal Year: 2017, Volume and Issue: 557, P. 713 - 725

Published: Dec. 28, 2017

Language: Английский

Citations

Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mapping DOI

Jingyi Huang, Brendan Malone, Budiman Minasny

et al.

The Science of The Total Environment, Journal Year: 2017, Volume and Issue: 609, P. 621 - 632

Published: July 28, 2017

Language: Английский

Citations

Bayesian framework of parameter sensitivity, uncertainty, and identifiability analysis in complex water quality models DOI

Haifeng Jia, Te Xu, Shidong Liang

et al.

Environmental Modelling & Software, Journal Year: 2018, Volume and Issue: 104, P. 13 - 26

Published: March 21, 2018

Language: Английский

Citations

Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis DOI

Yinying Zhu,

Zhi Chen,

Zunaira Asif

et al.

Environmental Pollution, Journal Year: 2021, Volume and Issue: 285, P. 117497 - 117497

Published: May 31, 2021

Language: Английский

Citations

The effects of turbulence on phytoplankton and implications for energy transfer with an integrated water quality-ecosystem model in a shallow lake DOI

Guixia Zhao, Xueping Gao, Chen Zhang

et al.

Journal of Environmental Management, Journal Year: 2019, Volume and Issue: 256, P. 109954 - 109954

Published: Dec. 9, 2019

Language: Английский

Citations

Implication of self-organizing map, stable isotopes combined with MixSIAR model for accurate nitrogen control in a well-protected reservoir DOI

Changkun Lin,

Ronghua Du,

Fei Guo

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 248, P. 118335 - 118335

Published: Jan. 29, 2024

Language: Английский

Citations

Advances in Total Maximum Daily Load Implementation Planning by Modeling Best Management Practices and Green Infrastructures DOI

Deva K. Borah,

Harry X. Zhang,

Moira Zellner

et al.

Journal of Environmental Engineering, Journal Year: 2024, Volume and Issue: 150(7)

Published: April 26, 2024

Language: Английский

Citations