Evaluation of sediment dredging in remediating toxic metal contamination — a systematic review

Soetan, Oluwafemi; Nie, Jing; Viteritto, Michael; Feng, Huan

doi:10.1007/s11356-023-27489-x

Environ Sci Pollut Res

2023

DOI: 10.1007/s11356-023-27489-x

|View full text |Cite

Evaluation of sediment dredging in remediating toxic metal contamination — a systematic review

Oluwafemi Soetan

Jing Nie

Michael Viteritto

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 7 publications

References 111 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Application of time series and multivariate statistical models for water quality assessment and pollution source apportionment in an Urban River, New Jersey, USA

Soetan,

Nie,

Polius

et al. 2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

Water quality monitoring reveals changing trends in the environmental condition of aquatic systems, elucidates the prevailing factors impacting a water body, and facilitates science-backed policymaking. A 2020 hiatus in water quality data tracking in the Lower Passaic River (LPR), New Jersey, has created a 5-year information gap. To gain insight into the LPR water quality status during this lag period and ahead, water quality indices computed with 16-year historical data available for 12 physical, chemical, nutrient, and microbiological parameters were used to predict water quality between 2020 and 2025 using seasonal autoregressive moving average (ARIMA) models. Average water quality ranged from good to very poor (34 ≤ µWQI ≤ 95), with noticeable spatial and seasonal variations detected in the historical and predicted data. Pollution source tracking with the positive matrix factorization (PMF) model yielded significant R2 values (0.9 < R2 ≤ 1) for the input parameters and revealed four major LPR pollution factors, i.e., combined sewer systems, surface runoff, tide-influenced sediment resuspension, and industrial wastewater with pollution contribution rates of 23–30.2% in the upstream and downstream study areas. Significant correlation of toxic metals, nutrients, and sewage indicators suggest similarities in their sources. Graphical Abstract

show abstract

Application of time series and multivariate statistical models for water quality assessment and pollution source apportionment in an Urban River, New Jersey, USA

Soetan,

Nie,

Polius

et al. 2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

Is dredging an effective ecological restoration method to improve water quality in freshwater ecosystems?

Xiang,

Li,

Xiao

et al. 2024

Ecological Engineering

View full text Add to dashboard Cite

Evaluation of toxic metal pollution in freshwater surficial sediments using environmental indices and multivariate statistical approaches – A systematic review

Soetan,

Viteritto,

Qian

et al. 2024

Environmental Nanotechnology, Monitoring & Management

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Evaluation of sediment dredging in remediating toxic metal contamination — a systematic review

Cited by 7 publications

References 111 publications

Application of time series and multivariate statistical models for water quality assessment and pollution source apportionment in an Urban River, New Jersey, USA

Application of time series and multivariate statistical models for water quality assessment and pollution source apportionment in an Urban River, New Jersey, USA

Is dredging an effective ecological restoration method to improve water quality in freshwater ecosystems?

Evaluation of toxic metal pollution in freshwater surficial sediments using environmental indices and multivariate statistical approaches – A systematic review

Contact Info

Product

Resources

About