Soft Data in Hydrologic Modeling: Prediction of Ecologically Relevant Flows with Alternate Land Use/Land Cover Data

• Published in: Water (Basel) Vol. 13; no. 21; p. 2947
• Main Authors: Haas, Henrique, Dosdogru, Furkan, Kalin, Latif, Yen, Haw
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Alabama; Aquatic ecosystems; Biodiversity; Calibration; data collection; Datasets; Environmental aspects; Geospatial data; Hydrology; Land cover; Land use; Landsat; meteorological data; Nitrates; Precipitation; prediction; River ecology; rivers; Soil and Water Assessment Tool model; Stream flow; Streamflow; thematic maps; United States; water; Watersheds; United States; Alabama River; Cahaba River; Alabama; United States > US

Watershed-scale hydrological models have become important tools to understand, assess, and predict the impacts of natural and anthropogenic-driven activities on water resources. However, model predictions are associated with uncertainties stemming from sources such as model input data. As an importa...