Abstract

The concept of sustainable risk assessment in industrial wastewater treatment is vital to determine the causes and consequences of plant failure. The potential wastewater-related risks that could hamper the operation of the entire manufacturing facility are currently inadequately defined and under researched. This work proposes a framework that includes the comparison of literature and experimental data to quantify the impact of the significant process parameters on the critical process outputs. From the business perspective, managing and minimising risks will be possible when the number of impact parameters is low and the relationships between different parameters are clearly understood. The results show that even only the evaluation of technical risks can provide an assessment platform template for other risk types. Also, the structured and statistically analyzed data sets applied might be further used in the design and development of machine learning platforms algorithms to inform sustainable process outcomes adjusted for various geographical locations and human factors which significantly affect the industrial water sector globally.

Disciplines

Civil and Environmental Engineering

DOI

10.1016/j.wri.2021.100146

Full Publication Date

6-2021

Publication Details

Water Resources and Industry

Publisher

Elsevier

Funder Name 1

EPA Research Programme 2014–2020

Award Number 1

2019-W-LS-21

Resource Type

journal article

Resource Version

http://purl.org/coar/version/c_970fb48d4fbd8a85

Access Rights

open access

Open Access Route

Gold Open Access

License Condition

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Alternative Identifier

https://www.sciencedirect.com/science/article/pii/S2212371721000093?via%3Dihub#ack0010

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