Articles | Volume 22, issue 3
https://doi.org/10.5194/nhess-22-775-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-775-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Compound flood modeling framework for surface–subsurface water interactions
WARREDOC, University for Foreigners of Perugia, Perugia, 06123, Italy
Department of Civil and Environmental Engineering (DICEA), University of Florence, Florence, 50139, Italy
Institute of Environment, Florida International University, Miami, FL 33199, USA
Department of Earth and Environment, Florida International University, Miami, FL 33199, USA
Sea Level Solutions Center, Florida International University, Miami, FL 33181, USA
Fernando Nardi
WARREDOC, University for Foreigners of Perugia, Perugia, 06123, Italy
Institute of Environment, Florida International University, Miami, FL 33199, USA
Assefa Melesse
Institute of Environment, Florida International University, Miami, FL 33199, USA
Department of Earth and Environment, Florida International University, Miami, FL 33199, USA
Jayantha Obeysekera
Institute of Environment, Florida International University, Miami, FL 33199, USA
Department of Earth and Environment, Florida International University, Miami, FL 33199, USA
Sea Level Solutions Center, Florida International University, Miami, FL 33181, USA
Fabio Castelli
Department of Civil and Environmental Engineering (DICEA), University of Florence, Florence, 50139, Italy
René M. Price
Institute of Environment, Florida International University, Miami, FL 33199, USA
Department of Earth and Environment, Florida International University, Miami, FL 33199, USA
Todd Crowl
Institute of Environment, Florida International University, Miami, FL 33199, USA
Noemi Gonzalez-Ramirez
Riada Engineering, Inc., P.O. Box 104, Nutrioso, AZ 85932, USA
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Antonio Annis, Fernando Nardi, and Marco Marani
EGUsphere, https://doi.org/10.5194/egusphere-2026-4418, https://doi.org/10.5194/egusphere-2026-4418, 2026
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
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Floods harm crops very differently depending on when they happen: the same flooding can ruin a field at flowering but barely affect it after harvest. Risk studies usually overlook this timing. We built a method that simulates realistic rainstorms month by month, follows the water across the landscape, and links the flooding to how sensitive each crop is then. Timing changes expected yearly losses considerably, helping farmers and planners protect the right places at the right time.
Mohammad Merheb, Christophe Cudennec, and Fernando Nardi
Proc. IAHS, 385, 91–96, https://doi.org/10.5194/piahs-385-91-2024, https://doi.org/10.5194/piahs-385-91-2024, 2024
Short summary
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Fair and safe allocation of natural resources for the Euro-Mediterranean area, especially for semi-arid regions, strongly relies on the adoption of WEFE (Water Energy Food Ecosystem) Nexus strategies. Transitioning to WEFE Nexus requires novel quantifiable assessment for interlinked analysis of the four WEFE sectors. Several indicator-based tools exist for agricultural sustainability at the farm scale. This contribution investigates on the application of IDEA method for WEFE Nexus approaches.
Antonio Annis, Fernando Nardi, and Fabio Castelli
Hydrol. Earth Syst. Sci., 26, 1019–1041, https://doi.org/10.5194/hess-26-1019-2022, https://doi.org/10.5194/hess-26-1019-2022, 2022
Short summary
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In this work, we proposed a multi-source data assimilation framework for near-real-time flood mapping. We used a quasi-2D hydraulic model to update model states by injecting both stage gauge observations and satellite-derived flood extents. Results showed improvements in terms of water level prediction and reduction of flood extent uncertainty when assimilating both stage gauges and satellite images with respect to the disjoint assimilation of both observations.
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Short summary
Groundwater-induced flooding, a rare phenomenon that is increasing in low-elevation coastal cities due to higher water tables, is often neglected in flood risk mapping due to its sporadic frequency and considerably lower severity with respect to other flood hazards. A loosely coupled flood model is used to simulate the interplay between surface and subsurface flooding mechanisms simultaneously. This work opens new horizons on the development of compound flood models from a holistic perspective.
Groundwater-induced flooding, a rare phenomenon that is increasing in low-elevation coastal...
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