A methodology for assessing and monitoring risk in the industrial wastewater sector
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 r...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-06-01
|
| Series: | Water Resources and Industry |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2212371721000093 |
| _version_ | 1818644236325617664 |
|---|---|
| author | Anna Trubetskaya William Horan Paul Conheady Ken Stockil Shane Merritt Sean Moore |
| author_facet | Anna Trubetskaya William Horan Paul Conheady Ken Stockil Shane Merritt Sean Moore |
| author_sort | Anna Trubetskaya |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-17T00:11:38Z |
| format | Article |
| id | doaj.art-9e3b868bc65849d5b2e12843773d4aab |
| institution | Directory Open Access Journal |
| issn | 2212-3717 |
| language | English |
| last_indexed | 2024-12-17T00:11:38Z |
| publishDate | 2021-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Water Resources and Industry |
| spelling | doaj.art-9e3b868bc65849d5b2e12843773d4aab2022-12-21T22:10:49ZengElsevierWater Resources and Industry2212-37172021-06-0125100146A methodology for assessing and monitoring risk in the industrial wastewater sectorAnna Trubetskaya0William Horan1Paul Conheady2Ken Stockil3Shane Merritt4Sean Moore5School of Engineering, University of Limerick, Castletroy, Co. Limerick, Ireland; Central Solutions, Castletroy, Co. Limerick, Ireland; Corresponding author. School of Engineering, University of Limerick, Castletroy, Co. Limerick, Ireland.Central Solutions, Castletroy, Co. Limerick, IrelandCentral Solutions, Castletroy, Co. Limerick, IrelandCentral Solutions, Castletroy, Co. Limerick, IrelandCentral Solutions, Castletroy, Co. Limerick, Ireland; Department of Civil Engineering, Cork Institute of Technology, Cork, Co. Cork, IrelandSchool of Engineering, University of Limerick, Castletroy, Co. Limerick, Ireland; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2212371721000093RiskWater sectorData analyticsFMEAWastewater |
| spellingShingle | Anna Trubetskaya William Horan Paul Conheady Ken Stockil Shane Merritt Sean Moore A methodology for assessing and monitoring risk in the industrial wastewater sector Water Resources and Industry Risk Water sector Data analytics FMEA Wastewater |
| title | A methodology for assessing and monitoring risk in the industrial wastewater sector |
| title_full | A methodology for assessing and monitoring risk in the industrial wastewater sector |
| title_fullStr | A methodology for assessing and monitoring risk in the industrial wastewater sector |
| title_full_unstemmed | A methodology for assessing and monitoring risk in the industrial wastewater sector |
| title_short | A methodology for assessing and monitoring risk in the industrial wastewater sector |
| title_sort | methodology for assessing and monitoring risk in the industrial wastewater sector |
| topic | Risk Water sector Data analytics FMEA Wastewater |
| url | http://www.sciencedirect.com/science/article/pii/S2212371721000093 |
| work_keys_str_mv | AT annatrubetskaya amethodologyforassessingandmonitoringriskintheindustrialwastewatersector AT williamhoran amethodologyforassessingandmonitoringriskintheindustrialwastewatersector AT paulconheady amethodologyforassessingandmonitoringriskintheindustrialwastewatersector AT kenstockil amethodologyforassessingandmonitoringriskintheindustrialwastewatersector AT shanemerritt amethodologyforassessingandmonitoringriskintheindustrialwastewatersector AT seanmoore amethodologyforassessingandmonitoringriskintheindustrialwastewatersector AT annatrubetskaya methodologyforassessingandmonitoringriskintheindustrialwastewatersector AT williamhoran methodologyforassessingandmonitoringriskintheindustrialwastewatersector AT paulconheady methodologyforassessingandmonitoringriskintheindustrialwastewatersector AT kenstockil methodologyforassessingandmonitoringriskintheindustrialwastewatersector AT shanemerritt methodologyforassessingandmonitoringriskintheindustrialwastewatersector AT seanmoore methodologyforassessingandmonitoringriskintheindustrialwastewatersector |