A novel model for storage dynamics simulation and inundation mapping in the prairies. (November 2020)

• Record Type: Journal Article
• Authors: Ahmed, Mohamed Ismaiel; Elshorbagy, Amin; Pietroniro, Alain
• Is Part Of: Environmental modelling & software. Volume 133(2020)
• Publication Date: 2020-11
• Subjects: Prairie pothole -- Inundation mapping -- Distributed modelling -- Hysteresis -- Contributing area -- Remote sensing; Environmental monitoring -- Computer programs -- Periodicals; Ecology -- Computer simulation -- Periodicals; Digital computer simulation -- Periodicals; Computer software -- Periodicals; Environmental Monitoring -- Periodicals; Computer Simulation -- Periodicals; Environnement -- Surveillance -- Logiciels -- Périodiques; Écologie -- Simulation, Méthodes de -- Périodiques; Simulation par ordinateur -- Périodiques; Logiciels -- Périodiques; Computer software; Digital computer simulation; Ecology -- Computer simulation; Environmental monitoring -- Computer programs; Periodicals; Electronic journals; 363.70015118
• DOI: 10.1016/j.envsoft.2020.104850
• Languages: English
• ISSNs: 1364-8152

Abstract

Abstract: The Canadian prairies are dominated by numerous depressions, which can modify the lateral transfer of water to prairie streams. Few studies were conducted to simulate the pothole dynamics using their actual spatial distributions. This study proposes a computationally efficient Prairie Region Inundation MApping (PRIMA) model as a hydrologic routing model, for a more accurate and comprehensive storage dynamics simulation and inundation mapping in the prairies. PRIMA shows potential for simulating the potholes' extents when comparing its results with remote sensing data of pothole areas with an accuracy of 85% averaged over two prairie basins in Saskatchewan, Canada. PRIMA is three ~ eight times as computationally efficient as the recently developed Wetland DEM Ponding Model (WDPM). Due to its computational efficiency and ability to provide a good simulation of inundation extents, PRIMA shows strengths as a possible tool for pothole inundation mapping and storage dynamics simulations. Graphical abstract: Image 1 Highlights: PRIMA can simulate the spatiotemporal water extents and depths of the potholes when compared to available observations. Potholes' antecedent moisture conditions can significantly affect the outflow volume and the resulting inundation extents. PRIMA is more computationally efficient than the recently developed Wetland DEM Ponding Model (WDPM).