Articles | Volume 19, issue 11
https://doi.org/10.5194/nhess-19-2565-2019
© Author(s) 2019. 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-19-2565-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Nov 2019
Research article |
| 20 Nov 2019
| 20 Nov 2019
AGRIDE-c, a conceptual model for the estimation of flood damage to crops: development and implementation
Daniela Molinari
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Politecnico di
Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
Anna Rita Scorzini
Department of Civil, Environmental and Architectural Engineering,
Università degli Studi dell'Aquila, Via Gronchi, 18, 67100, L'Aquila,
Italy
Alice Gallazzi
Department of Civil and Environmental Engineering, Politecnico di
Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
Francesco Ballio
Department of Civil and Environmental Engineering, Politecnico di
Milano, Piazza Leonardo da Vinci 32, 20133, Milan, Italy
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Cited
22 citations as recorded by crossref.
- Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. 10.5194/nhess-22-3385-2022
- A Theoretical Framework to Assess the Impact of Flooding on Dairy Cattle Farms: Identification of Direct Damage from an Animal Welfare Perspective A. Gaviglio et al. 10.3390/ani11061586
- Mapping Flood Extent and Frequency from Sentinel-1 Imagery during the Extremely Warm Winter of 2020 in Boreal Floodplains and Forests L. Sipelgas et al. 10.3390/rs13234949
- Developing Flood Vulnerability Functions through Questionnaire Survey for Flood Risk Assessments in the Meghna Basin, Bangladesh I. Khairul et al. 10.3390/w14030369
- Regional flood risk analysis for agricultural crops: Insights from the implementation of AGRIDE-c in central Italy A. Scorzini et al. 10.1016/j.ijdrr.2020.101999
- Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. 10.1007/s11069-022-05791-0
- How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data J. Bofana et al. 10.1016/j.rse.2021.112808
- Integrating optimization and damage estimation to increase economic benefit and ensure food security under seasonal land variability G. Talukdar et al. 10.1016/j.jenvman.2022.115872
- Cost–benefit analysis of flood mitigation measures: a case study employing high-performance hydraulic and damage modelling D. Molinari et al. 10.1007/s11069-021-04814-6
- Development of flood damage functions for agricultural crops and their applicability in regions of Asia B. Shrestha et al. 10.1016/j.ejrh.2021.100872
- A Global Scale Analysis of River Flood Risk of UNESCO World Heritage Sites C. Arrighi 10.3389/frwa.2021.764459
- Comparison between flood damages evaluation methods and selection of the appropriate method for application in Slovakia M. Hlinková et al. 10.1088/1757-899X/1252/1/012008
- Flood Damage on Dairy Farms: A What-If Analysis to Assess Economic Losses A. Gaviglio et al. 10.3390/w14243984
- Historical comparison of the damage caused by the propagation of a dam break wave in a pre-alpine valley R. Bonomelli et al. 10.1016/j.ejrh.2023.101467
- Livestock vulnerability to flooding T. Lazzarin & A. Defina 10.1016/j.jhydrol.2024.132613
- A simplified method for water depth mapping over crops during flood based on Copernicus and DTM open data D. Samuele et al. 10.1016/j.agwat.2022.107642
- Impact of extreme weather events on cropland inundation over Indian subcontinent A. Prakash et al. 10.1007/s10661-022-10553-3
- Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania R. Albano et al. 10.3390/w12061834
- Enhancing FAIR Data Services in Agricultural Disaster: A Review L. Hu et al. 10.3390/rs15082024
- Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River B. Monteleone et al. 10.3390/w15111980
- A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. 10.1016/j.jhydrol.2022.128687
- Flooding and Land Use Change in Southeast Sulawesi, Indonesia L. Kelley & A. Prabowo 10.3390/land8090139
21 citations as recorded by crossref.
- Process-based flood damage modelling relying on expert knowledge: a methodological contribution applied to the agricultural sector P. Brémond et al. 10.5194/nhess-22-3385-2022
- A Theoretical Framework to Assess the Impact of Flooding on Dairy Cattle Farms: Identification of Direct Damage from an Animal Welfare Perspective A. Gaviglio et al. 10.3390/ani11061586
- Mapping Flood Extent and Frequency from Sentinel-1 Imagery during the Extremely Warm Winter of 2020 in Boreal Floodplains and Forests L. Sipelgas et al. 10.3390/rs13234949
- Developing Flood Vulnerability Functions through Questionnaire Survey for Flood Risk Assessments in the Meghna Basin, Bangladesh I. Khairul et al. 10.3390/w14030369
- Regional flood risk analysis for agricultural crops: Insights from the implementation of AGRIDE-c in central Italy A. Scorzini et al. 10.1016/j.ijdrr.2020.101999
- Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves B. Monteleone et al. 10.1007/s11069-022-05791-0
- How long did crops survive from floods caused by Cyclone Idai in Mozambique detected with multi-satellite data J. Bofana et al. 10.1016/j.rse.2021.112808
- Integrating optimization and damage estimation to increase economic benefit and ensure food security under seasonal land variability G. Talukdar et al. 10.1016/j.jenvman.2022.115872
- Cost–benefit analysis of flood mitigation measures: a case study employing high-performance hydraulic and damage modelling D. Molinari et al. 10.1007/s11069-021-04814-6
- Development of flood damage functions for agricultural crops and their applicability in regions of Asia B. Shrestha et al. 10.1016/j.ejrh.2021.100872
- A Global Scale Analysis of River Flood Risk of UNESCO World Heritage Sites C. Arrighi 10.3389/frwa.2021.764459
- Comparison between flood damages evaluation methods and selection of the appropriate method for application in Slovakia M. Hlinková et al. 10.1088/1757-899X/1252/1/012008
- Flood Damage on Dairy Farms: A What-If Analysis to Assess Economic Losses A. Gaviglio et al. 10.3390/w14243984
- Historical comparison of the damage caused by the propagation of a dam break wave in a pre-alpine valley R. Bonomelli et al. 10.1016/j.ejrh.2023.101467
- Livestock vulnerability to flooding T. Lazzarin & A. Defina 10.1016/j.jhydrol.2024.132613
- A simplified method for water depth mapping over crops during flood based on Copernicus and DTM open data D. Samuele et al. 10.1016/j.agwat.2022.107642
- Impact of extreme weather events on cropland inundation over Indian subcontinent A. Prakash et al. 10.1007/s10661-022-10553-3
- Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania R. Albano et al. 10.3390/w12061834
- Enhancing FAIR Data Services in Agricultural Disaster: A Review L. Hu et al. 10.3390/rs15082024
- Estimations of Crop Losses Due to Flood Using Multiple Sources of Information and Models: The Case Study of the Panaro River B. Monteleone et al. 10.3390/w15111980
- A new framework for flood damage assessment considering the within-event time evolution of hazard, exposure, and vulnerability T. Lazzarin et al. 10.1016/j.jhydrol.2022.128687
1 citations as recorded by crossref.
Latest update: 30 Jan 2025
Short summary
The paper presents AGRIDE-c: a conceptual model for the estimation of flood damage to crops. The model estimates both the physical damage on the plants and its economic consequences on the income of the farmers. This allows AGRIDE-c to support effective damage mitigation strategies, at both public and individual farmer levels. The model can be adapted to different geographical and economic contexts, as exemplified by its implementation for the context of northern Italy.
The paper presents AGRIDE-c: a conceptual model for the estimation of flood damage to crops. The...
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