Peter A. Vanrolleghem

Peter A. Vanrolleghem

Université Laval

H-index: 101

North America-Canada

About Peter A. Vanrolleghem

Peter A. Vanrolleghem, With an exceptional h-index of 101 and a recent h-index of 48 (since 2020), a distinguished researcher at Université Laval, specializes in the field of water quality modeling, wastewater treatment, control, micropollutants, resource recovery.

His recent articles reflect a diverse array of research interests and contributions to the field:

A comprehensive, open-source data model for wastewater-based epidemiology

A critical review of multicriteria decision analysis practices in planning of urban green spaces and nature-based solutions

Wastewater-based epidemiological surveillance of respiratory pathogens

Machine learning for modeling N2O emissions from wastewater treatment plants: Aligning model performance, complexity, and interpretability

Assessing the equivalence of WRRF regulations using dynamic model simulations

The ASM2d model with two-step nitrification can better simulate biological nutrient removal systems enriched with complete ammonia oxidizing bacteria (comammox Nitrospira)

Sidestream bio‐P and mainstream anammox in a BNR process with upstream carbon capture

脱碳政策和水务行业的机会

Peter A. Vanrolleghem Information

University

Position

modelEAU -

Citations(all)

37803

Citations(since 2020)

10178

Cited By

32821

hIndex(all)

101

hIndex(since 2020)

48

i10Index(all)

467

i10Index(since 2020)

222

Email

University Profile Page

Google Scholar

Peter A. Vanrolleghem Skills & Research Interests

water quality modeling

wastewater treatment

control

micropollutants

resource recovery

Top articles of Peter A. Vanrolleghem

A comprehensive, open-source data model for wastewater-based epidemiology

Water Science & Technology

2024/1/1

A critical review of multicriteria decision analysis practices in planning of urban green spaces and nature-based solutions

2023/12/1

Wastewater-based epidemiological surveillance of respiratory pathogens

Frontiers in Public Health

2023/11/16

Machine learning for modeling N2O emissions from wastewater treatment plants: Aligning model performance, complexity, and interpretability

Water Research

2023/10/15

Assessing the equivalence of WRRF regulations using dynamic model simulations

Water Science & Technology

2023/9/15

The ASM2d model with two-step nitrification can better simulate biological nutrient removal systems enriched with complete ammonia oxidizing bacteria (comammox Nitrospira)

Chemosphere

2023/9/1

Sidestream bio‐P and mainstream anammox in a BNR process with upstream carbon capture

Water Environment Research

2023/8

脱碳政策和水务行业的机会

2023/6/15

Wastewater-based epidemiology: the crucial role of viral shedding dynamics in small communities

Frontiers in Public Health

2023/8/2

Mainstream short-cut N removal modelling: current status and perspectives

Water Science and Technology

2022/5/1

An essential tool for WRRF modelling: a realistic and complete influent generator for flow rate and water quality based on data-driven methods

Water Science and Technology

2022/5/1

Benchmarking strategies to control GHG production and emissions

Quantification and Modelling of Fugitive Greenhouse Gas Emissions from Urban Water Systems

2022/4/9

Normalization practices for SARS-CoV-2 data in wastewater-based epidemiology

2022/3/31

Decarbonization policies and water sector opportunities

Pathways to Water Sector Decarbonization, Carbon Capture and Utilization

2022/3/15

An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm

Water Science and Technology

2022/3/1

Detection of prevalent SARS-CoV-2 variant lineages in wastewater and clinical sequences from cities in Québec, Canada

medRxiv

2022/2/1

Including snowmelt in influent generation for cold climate WRRFs: comparison of data-driven and phenomenological approaches

Environmental Science: Water Research & Technology

2022

An improved 1D reactive Bürger–Diehl settler model for secondary settling tank denitrification

Water Environment Research

2022/12

Artificial intelligence techniques in electrochemical processes for water and wastewater treatment: A review

2022/12

See List of Professors in Peter A. Vanrolleghem University(Université Laval)

Co-Authors

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