Improving the representation of forests in hydrological models H Haas, NGF Reaver, R Karki, L Kalin, P Srivastava, DA Kaplan, ... Science of The Total Environment 812, 151425, 2022 | 23 | 2022 |
Improved forest dynamics leads to better hydrological predictions in watershed modeling H Haas, L Kalin, P Srivastava Science of The Total Environment 821, 153180, 2022 | 9 | 2022 |
Soft data in hydrologic modeling: prediction of ecologically relevant flows with alternate land use/land cover data H Haas, F Dosdogru, L Kalin, H Yen Water 13 (21), 2947, 2021 | 3 | 2021 |
Improved forest canopy evaporation leads to better predictions of ecohydrological processes H Haas, L Kalin, H Yen Ecological Modelling 489, 110620, 2024 | 1 | 2024 |
Nutrient Removal Potential of Headwater Wetlands in Coastal Plains of Alabama, USA S Isik, H Haas, L Kalin, MM Hantush, C Nietch Water 15 (15), 2687, 2023 | 1 | 2023 |
Representing silvicultural management practices in SWAT and quantifying their impact on water yield N Reaver, H Haas, L Kalin, D Kaplan, W Graham AGU Fall Meeting Abstracts 2021, H21I-08, 2021 | 1 | 2021 |
Understanding the effects of afforestation on water quantity and quality at watershed scale by considering the influences of tree species and local moisture recycling H Haas, L Kalin, G Sun, S Kumar Journal of Hydrology 640, 131739, 2024 | | 2024 |
The role of intra-watershed processes in improving the understanding of physical processes, hydrologic trends, and restoration measures across the Mobile Bay watershed-AL H Haas | | 2024 |
How wide is the problem? Leveraging alternative data sources to enhance channel width representation in watershed modeling H Haas, L Kalin, E Baltaci Environmental Modelling & Software 172, 105935, 2024 | | 2024 |
Nutrient Removal Potential of Headwater Wetlands in Coastal Plains of Alabama, USA. Water 2023, 15, 2687 S Isik, H Haas, L Kalin, MM Hantush, C Nietch | | 2023 |
A watershed modeling framework to assess the impacts of environmental changes in the Mobile Bay, Alabama H Haas, L Kalin, J Lehrter, D Tian, L Lowe AGU Fall Meeting Abstracts 2021, H15E-1085, 2021 | | 2021 |
Quantifying tradeoffs among nitrate flux, water yield, and economic returns for agricultural and silvicultural practices in the Floridan Aquifer region N Reaver, D Lee, S Rath, U Koirala, F He, H Haas, R De Rooij, D Adams, ... AGU Fall Meeting Abstracts 2021, H41I-05, 2021 | | 2021 |
Soft Data in Hydrologic Modeling: Prediction of Ecologically Relevant Flows with Alternate Land Use/Land Cover Data. Water 2021, 13, 2947 H Haas, F Dosdogru, L Kalin, H Yen s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
Capturing Forest Dynamics in Hydrological Modeling H Haas Auburn University, 2020 | | 2020 |
Can Soft Data Help Improving Intra-Watershed Processess in Hydrologic Modeling? H Haas, L Kalin, P Srivastava AGU Fall Meeting Abstracts 2019, H13C-04, 2019 | | 2019 |
Onslow County land use plan, 1981 H Haas, F Dosdogru | | |
Land use plan, Pamlico County, North Carolina H Haas, F Dosdogru, NHC NC | | |
Tongue Point highest and best use study H Haas, F Dosdogru | | |
Scrutinizing Significance of Trees in Watershed Modeling H Haas, L Kalin, P Srivastava, NGF Reaver, DA Kaplan Enhancing Landscapes for Sustainable Intensification and Watershed …, 0 | | |