Water Resources Research Act Program

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Details for Project ID TN_2023_Li

Reconstruct missing data in water system with machine learning

Institute: Tennessee
Year Established: 2023 Start Date: 2023-09-01 End Date: 2024-08-31
Total Federal Funds: $26,000 Total Non-Federal Funds: $34,988

Principal Investigators: Haochen Li

Project Summary: Due to various unexpected incidents such as sensor lamfunction, communication error, instrument damage, and battery exhaustion, there can exist sparse yet often continuous data gaps in the database. These data gaps directly impact the interpretation and evaluation of water systems' pollutant load and oad reduction, posing tremendous difficulties for accurate water systems load estimation and performance. To address this need, this proposed research aims to develop artificial intelligence and machine learning tools for missing data imputation in water systems.