Design of a web-based application of the coupled multi-agent system model and environmental model for watershed management analysis using Hadoop Y Hu, X Cai, B DuPont Environmental Modelling & Software 70, 149-162, 2015 | 42 | 2015 |
Global sensitivity analysis for large-scale socio-hydrological models using Hadoop Y Hu, O Garcia-Cabrejo, X Cai, AJ Valocchi, B DuPont Environmental Modelling & Software 73, 231-243, 2015 | 34 | 2015 |
Combining human and machine intelligence to derive agents’ behavioral rules for groundwater irrigation Y Hu, CJ Quinn, X Cai, NW Garfinkle Advances in water resources 109, 29-40, 2017 | 27 | 2017 |
Are all data useful? Inferring causality to predict flows across sewer and drainage systems using directed information and boosted regression trees Y Hu, D Scavia, B Kerkez Water research 145, 697-706, 2018 | 23 | 2018 |
Urban total phosphorus loads to the St. Clair-Detroit River System Y Hu, CM Long, YC Wang, B Kerkez, D Scavia Journal of great lakes research 45 (6), 1142-1149, 2019 | 16 | 2019 |
Detroit River phosphorus loads: Anatomy of a binational watershed D Scavia, SA Bocaniov, A Dagnew, Y Hu, B Kerkez, CM Long, ... Journal of Great Lakes Research 45 (6), 1150-1161, 2019 | 15 | 2019 |
Role of heterogeneous behavioral factors in an agent-based model of crop choice and groundwater irrigation Y Hu, S Beattie Journal of Water Resources Planning and Management 145 (2), 04018100, 2019 | 13 | 2019 |
Edge-of-field runoff prediction by a hybrid modeling approach using causal inference Y Hu, L Fitzpatrick, LM Fry, L Mason, LK Read, DC Goering Environmental Research Communications 3 (7), 075003, 2021 | 6 | 2021 |
Watershed Assessment of Detroit River Phosphorus Loads to Lake Erie D Scavia, S Bocaniov, A Dagnew, Y Hu, B Kerkez, C Long, R Muenich, ... Final project report produced by the University of Michigan Water Center …, 2019 | 6 | 2019 |
Groundwater Modeling with MODFLOW as a Web Application. Y Hu, AJ Valocchi, SA Lindgren, EA Ramos, RA Byrd Ground Water 53 (6), 2015 | 3 | 2015 |
Generalization of Runoff Risk Prediction at Field Scales to a Continental‐Scale Region Using Cluster Analysis and Hybrid Modeling CM Ford, Y Hu, C Ghosh, LM Fry, S Malakpour‐Estalaki, L Mason, ... Geophysical Research Letters, e2022GL100667, 2022 | 2 | 2022 |
A methodological framework for improving the performance of data-driven models: a case study for daily runoff prediction in the Maumee domain, USA Y Hu, C Ghosh, S Malakpour-Estalaki Geoscientific Model Development 16 (7), 1925-1936, 2023 | 1 | 2023 |
Coastal Flooding: Modeling, Monitoring, and Protection Systems V Prigiobbe, C Dawson, Y Hu, HO Sharif, N Tahvildari Frontiers in Climate 3, 830946, 2022 | 1 | 2022 |
Hydrological extremes heighten vulnerability to schistosomiasis DF Levia, R Bergquist, A Meydani, Y Hu, DM Hannah Earth's Future 12 (6), e2024EF004659, 2024 | | 2024 |
Comparing surface and subsurface flow predictions from multi-scale hydrologic models to Edge-of-Field observed data A Murumkar, J Martin, M Kalcic, C Stow, D Goering, V Shedekar, K King, ... Fall Meeting 2022, 2022 | | 2022 |
A methodological framework for improving the performance of data-driven models, a case study for daily runoff prediction in the Maumee domain, US Y Hu, C Ghosh, S Malakpour-Estalaki EGUsphere 2022, 1-17, 2022 | | 2022 |
Hybrid Modeling of Runoff Risk over the Great Lakes Region through Regionalization of National Water Model Output C Ford, Y Hu, C Ghosh, L Fry, L Mason, L Fitzpatrick, AH Mazrooei AGU Fall Meeting 2021, 2021 | | 2021 |
Analysis Of The Net Basin Supply To A Large Inland Lake With A Coupled Basin-lake Model And Different Climate Forcing Y Hong, Y Mei, L Fry, Y Hu, E Anderson, A Gronewold AGU Fall Meeting Abstracts 2021, H52G-05, 2021 | | 2021 |
Development of a Framework to Predict Edge-of-Field Runoff Risk Using a Continental Scale Operational Hydrological Model Combined with Data Driven Modeling Approaches L Fry, Y Hu, A Mazrooei, L Fitzpatrick, C Ford, L Read, L Mason, D Yates, ... AGU Fall Meeting Abstracts 2021, H55U-0972, 2021 | | 2021 |
Using the National Water Model Configuration of WRF-Hydro to Forecast Runoff at the Edge-of-Field Scale L Fitzpatrick, Y Hu, L Fry, L Mason, L Read, T Hunter, A Thorstensen, ... 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |