2026-09-22T02:54:04Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/127416 2026-02-03 col_2142_5131 col_2142_14770 com_2142_5130 com_2142_3518 com_2142_234

DSpace SAF Submission Ingestion Package generated from Vireo submission #21591 on 2025-03-28 at 14:45:05 application/pdf en text Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01 The student, Linshui Zhang, accepted the attached license on 2024-12-12 at 20:57. The student, Linshui Zhang, submitted this Thesis for approval on 2024-12-12 at 21:13. This Thesis was approved for publication on 2024-12-13 at 12:58. Using GIS and RS-PRODUCTS to develop a geo-referenced inventory for reservoirs in the CONUS Zhang, Linshui 2024-12-13 Cai, Ximing Gis Rs-products Hydrological Modeling Reservoir Inflow And Outflow Simulation eng Reservoir operation models have evolved to address diverse hydrological conditions, yet challenges persist for reservoirs with limited or no historical data. This study extends the Generic Data-Driven Reservoir Operation Model (GDROM) to improve its scalability and applicability for data-limited and no-data reservoirs. By leveraging streamflow data from upstream and downstream gauge stations of a reservoir, the proposed method adopts a geospatial matching algorithm to identify the inflow and outflow of a reservoir and develop data inventory for many reservoirs with limited historical operation records. Historical records from data-rich reservoirs are used to validate the framework's robustness. For no-data reservoirs, spatially matched streamflow data and proxy-based methods provide a scalable solution to estimate reservoir inflow and outflow for reservoirs with limited data or no data. The results of this work will enable the simulation of reservoir operation dynamics and effective integration reservoirs into large-scale hydrological models. The framework’s adaptability across diverse operational scales and flow regimes enhances the application of GDROMs across the CONUS regions. 2024-12 Thesis https://hdl.handle.net/2142/127416 Copyright 2024 Linshui Zhang Civil & Environmental Eng Civil Engineering University of Illinois at Urbana-Champaign M.S. Thesis