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Metal Pipe Network

Our Work

The Pesantez Research Group (PRG), led by Dr. Jorge E. Pesantez at California State University, Fresno, specializes in advancing the management and resilience of urban water infrastructure. Our research integrates civil engineering principles with computational modeling, data analytics, and artificial intelligence to address challenges in water distribution systems.

Groundwater Nitrate Contamination Modeling

Funding Agency: F3 Farms Food Future Innovate

PI: Dr. Jorge E. Pesantez

The F3 Innovate project will allow us to develop predictive models for Nitrate contamination in groundwater across the California Central Valley.

map_nitrate_conc.png
Products:
Fixing a Pipe

Development of an Intelligent Framework for Leak Detection and Localization in Water Distribution Systems

Funding Agency: US Bureau of Reclamation

PI: Dr. Jorge E. Pesantez
Co-PI: Dr. Shahab Tayeb
Co-PI: Dr. Fayzul Pasha

This federally funded project focuses on the development of data-driven and model-based methods to identify and localize leaks in water distribution systems

Products:

Managing Peak Water Demand in Water Distribution Systems

Funding Agency: California    Institute    for    Water    Resources    (CIWR)

PI: Dr. Jorge E. Pesantez

This early-career research grant studies new modeling methods for water demand forecasting, a highly relevant topic for water utilities in California and beyond.    

Water Filter Faucet
Products:

Modeling a game to shift peak water demands: WaterTime leaderboard

JE Pesantez, B Vizanko, EZ Berglund

Journal of Cleaner Production 470, 143241

Water Demand Analysis

This project will apply machine and deep learning methods to forecast water demand using multiple spatial and temporal scales.

Products:

Battle of water demand forecasting

S Alvisi, M Franchini, V Marsili, F Mazzoni, E Salomons, M Housh, ...

Journal of Water Resources Planning and Management 151 (10), 04025049

Data-Driven Regression Tree Model for Predicting Residential Water Demand Using Property Characteristics

AM Alfaro, JE Pesantez

World Environmental and Water Resources Congress 2025, 589-597

Predictive model for short-term water demand forecasting and feature analysis in urban networks

JE Pesantez, M DiCarlo, F Pasha, EZ Berglund

Engineering Proceedings 69 (1), 155

Unlocking Water Demand Patterns and Outdoor Consumption Insights for Targeted Conservation Strategies

JE Pesantez, A Maldonado Alfaro, S Ramesh, AS Stillwell

World Environmental and Water Resources Congress 2024, 1075-1086

Water Distribution System Analysis

In this project, we will develop clustering models to partition large water networks into hydraulically similar subnetworks, enhancing the management and operation of water distribution systems. Additionally, we are creating a comprehensive pipe replacement strategy to be implemented and tested across multiple water distribution networks, which will improve our understanding of the effects of pipe replacement on hydraulic performance within the network.

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Products:

A Genetic Algorithm Framework for Rehabilitation of Intermittent Networks: Application for the Battle of the Intermittent Water Supply System Network

B Vizanko, C Karrenberg, JE Pesantez, EZ Berglund

Journal of Water Resources Planning and Management 151 (9), 04025040

Clustering and Forecasting Model for Water Distribution Systems Analysis

AT Salazar, G Perelman, A Ostfeld, JE Pesantez

World Environmental and Water Resources Congress 2025, 824-831

Clustering Analysis in Water Distribution Systems for Enhanced Metering Infrastructure Retrofitting

JE Pesantez, A Toledo Salazar, F Pasha, A Ostfeld

World Environmental and Water Resources Congress 2024, 1285-1294

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