Automatic optimization of temporal monitoring schemes dealing with daily water contaminant concentration patterns

Gabrielli, Marco; Trovò, Francesco; Antonelli, Manuela

doi:10.1039/d2ew00089j

Cited by 4 publications

(3 citation statements)

References 60 publications

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“…, ref. 91) possibly intensifying monitoring frequency when variations which could potentially affect water treatment or distribution are expected. Observed values should be compared with the degree of short-term (daily) variability, possibly with confirmatory sampling performed rapidly (24 h) after unusual results, as possibly required in state-level US regulations.…”

Section: Resultsmentioning

confidence: 99%

“…As environmental causes and human interventions can affect groundwater quality, 89,90 sampling frequencies should be adapted to track water quality changes either based on previous knowledge or automated algorithms (e.g., ref. 91) possibly intensifying monitoring frequency when variations which could potentially affect water treatment or distribution are expected. Observed values should be compared with the degree of short-term (daily) variability, possibly with confirmatory sampling performed rapidly (24 h) after unusual results, as possibly required in state-level US regulations.…”

Section: Environmental Science: Water Research and Technology Papermentioning

confidence: 99%

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Source to tap investigation of natural organic matter in non-disinfected drinking water distribution systems

Gabrielli,

Pulcini,

Barbesti

et al. 2024

Environ. Sci.: Water Res. Technol.

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Section: Resultsmentioning

confidence: 99%

Section: Environmental Science: Water Research and Technology Papermentioning

confidence: 99%

Source to tap investigation of natural organic matter in non-disinfected drinking water distribution systems

Gabrielli,

Pulcini,

Barbesti

et al. 2024

Environ. Sci.: Water Res. Technol.

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“…Digital Twins 76 and data assimilation techniques 77 could solve this limitation, employing immediately the DWDS sensor data for model refinement. Furthermore, as environmental causes and human interventions can affect groundwater quality, 78,79 sampling frequencies should be adapted to track water quality changes either based on previous knowledge or automated algorithms (e.g., 80 ).…”

Section: Implications For Dwds Monitoring and Managementmentioning

confidence: 99%

Source to taps investigation of natural organic matter in non-disinfected drinking water distribution systems

Gabrielli

Pulcini

Barbesti

et al. 2023

Preprint

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Despite being reduced by treatment, natural organic matter (NOM) is ubiquitous in drinking water distribution systems (DWDSs) from sources to consumers taps where it can potentially have negative impacts on drinking water quality. While few studies have studied its behavior in disinfected and NOM-rich DWDSs, its dynamics in non-disinfected systems, characterized by low NOM content, have not been explored yet. In this study, we monitored the NOM variations occurring between sources and consumers taps of a non-disinfected DWDS using both absorbance and fluorescence, selected due to their increasing adoption by water utilities. PARAFAC analysis of fluorescence data, combined with absorbance indices, highlighted how NOM characteristics in groundwater can vary likely due to the combination of multiple factors, especially in case of shallower aquifers. The treatment processes acted differently on fluorescent components and absorbance likely due to the differences among fluorophores and between fluorescent and chromophoric molecules. Within the distribution network, variations were detected only at selected sampling locations suggesting the importance of the “last meter” factor, especially for sampling locations located within buildings. These findings remark the overall stability of water quality within non-disinfected DWDSs, but they stress the importance of localized water quality variations, suggesting several implications for DWDS monitoring and management.

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Implications of the transition towards water-wise approaches in urban areas: Elucidating the risk from micropollutants release

Ianes,

Cantoni,

Scana

et al. 2024

Journal of Environmental Chemical Engineering

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Automatic optimization of temporal monitoring schemes dealing with daily water contaminant concentration patterns

Abstract: The semi-arbitrary selection of water monitoring frequencies and sampling instants conducted by water utilities and regulatory agencies does not guarantee to identify the maximum contaminant concentration or the extent of...

Cited by 4 publications

References 60 publications

Source to tap investigation of natural organic matter in non-disinfected drinking water distribution systems

Source to tap investigation of natural organic matter in non-disinfected drinking water distribution systems

Source to taps investigation of natural organic matter in non-disinfected drinking water distribution systems

Implications of the transition towards water-wise approaches in urban areas: Elucidating the risk from micropollutants release

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