| Spatial and temporal patterns of nitrogen mobilization in residential lawns AK Suchy, PM Groffman, LE Band, JM Duncan, AJ Gold, JM Grove, ... Ecosystems 26 (7), 1524-1542, 2023 | 4 | 2023 |
| Balancing upland green infrastructure and stream restoration to recover urban stormwater and nitrate load retention R Zhang, LE Band, PM Groffman Journal of Hydrology 626, 130364, 2023 | 3 | 2023 |
| Spatial asynchrony in environmental and economic benefits of stream restoration R Zhang, D Newburn, A Rosenberg, L Lin, P Groffman, J Duncan, L Band Environmental Research Letters 17 (5), 054004, 2022 | 3 | 2022 |
| Image classification by integrating reject option and prior information GN Taff, Y Shao, J Ren, R Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 3 | 2018 |
| Remote Sensing, Modeling, and Data Assimilation of the Terrestrial Water Cycle II Oral H Kim, VV Lakshmi, IE Mladenova, SM Bateni, R Zhang, PO Kansara, ... AGU23, 2023 | | 2023 |
| Simulation of ecohydrological hot spots of nitrogen in a suburban watershed R Zhang, LE Band, PM Groffman, AK Suchy, JM Duncan, A Gold AGU Fall Meeting Abstracts 2023 (2064), H33U-2064, 2023 | | 2023 |
| Simulation of spatially distributed sources, transport, and transformation of nitrogen from fertilization and septic system in an exurban watershed R Zhang, LE Band, PM Groffman, AK Suchy, JM Duncan, AJ Gold Hydrology and Earth System Sciences Discussions 2023, 1-28, 2023 | | 2023 |
| Balancing watershed terrestrial and aquatic restoration practices to build resilient urban watersheds R Zhang, L Lin, LE Band Frontiers in Hydrology 2022, 136-02, 2022 | | 2022 |
| Spatial Asynchrony in Environmental and Socioeconomic Benefits of Stream Restoration R Zhang, D Newburn, A Rosenberg, P Groffman, L Lin, J Duncan, L Band AGU Fall Meeting Abstracts 2021, H25Z-11, 2021 | | 2021 |
| Deep Learning Approach to Predict Peak Floods and Evaluate Socioeconomic Vulnerability to Flood Events: A Case Study in Baltimore, MD, USA R Zhang, H Kim, E Lien, D Zheng, L Band, V Lakshmi 2021 Systems and Information Engineering Design Symposium (SIEDS), 1-6, 2021 | | 2021 |
| An Integrated Framework to Predict Peak Flood and Map Inundation Areas in the Chesapeake Bay Using Machine Learning Methods with High-Resolution Lidar DEM and Satellite Data R Zhang, H Kim, LE Band, V Lakshmi AGU Fall Meeting Abstracts 2020, H211-07, 2020 | | 2020 |
| Impacts of reduced domestic water use on stream water quality in suburban watersheds R Zhang, PM Groffman, LE Band WaterSciCon24, 0 | | |
| Assessing Vulnerable Road-Stream Crossings using a Community Driven, Model-Based Approach D Pelletier, H Borstlap, R Zhang, LE Band WaterSciCon24, 0 | | |
| Comparative Hydrological Dynamics and Water Security in Sundarijal Watershed: A RHESSys Modeling Approach for Broadleaf and Conifer Forests T Kandel, R Zhang, LE Band WaterSciCon24, 0 | | |
| Deep Learning Approach to Predict Peak Floods and Evaluation of Socioeconomic Vulnerability to Flood Events: A Case Study in Baltimore, MD R Zhang, H Kim, E Lien, D Zheng, L Band, V Lakshmi | | |
Lawrence BandErnest Ern Professor of Environmental Science and Professor of Civil and Environmental EngineeringVerified email at virginia.edu
