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.
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
Related authors
Marta Ballocci, Daniela Molinari, Giovanni Marin, Marta Galliani, Alessio Domeneghetti, Giovanni Menduni, Simone Sterlacchini, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 26, 251–270, https://doi.org/10.5194/nhess-26-251-2026, https://doi.org/10.5194/nhess-26-251-2026, 2026
Short summary
Short summary
This study estimates flood direct damage to businesses in Italy using 812 damage records from five riverine flood case studies. A multiple regression model predicts economic damage based on business size, water depth, and economic sectors. The results show that damage increases non-proportionally with firm size, while water depth mainly affects stock damage. Healthcare, commercial, and manufacturing sectors are most vulnerable to building, stock, and equipment damage, respectively.
Sara Rrokaj, Chiara Arrighi, Marta Ballocci, Gabriele Bertoli, Francesca da Porto, Claudia De Lucia, Mario Di Bacco, Paola Di Fluri, Alessio Domeneghetti, Marco Donà, Alice Gallazzi, Andrea Gennaro, Mohammed Hammouti, Gianluca Lelli, Sara Mozzon, Natasha Petruccelli, Elisa Saler, Anna Rita Scorzini, Simone Sterlacchini, Gaia Treglia, Debora Voltolina, Marco Zazzeri, and Daniela Molinari
Earth Syst. Sci. Data, 17, 6487–6496, https://doi.org/10.5194/essd-17-6487-2025, https://doi.org/10.5194/essd-17-6487-2025, 2025
Short summary
Short summary
Flood damage data are key to understanding territorial risks and supporting the design of mitigation measures. However, such data are scarce, and the available ones often lack a high level of detail. We conducted a field survey of residential, commercial, and industrial premises affected by the record-breaking flood event that hit Italy’s Marche region in 2022. The resulting datasets cover 256 assets and include detailed information on damage, building features, and mitigation measures.
Pradeep Acharya, Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 25, 4317–4330, https://doi.org/10.5194/nhess-25-4317-2025, https://doi.org/10.5194/nhess-25-4317-2025, 2025
Short summary
Short summary
INSYDE-content is a novel probabilistic model designed to estimate flood damage to household contents. Based on a synthetic “what-if” approach, it integrates multiple input variables describing both exposed items and damage mechanisms, while accounting for uncertainty. The model expands the range of available tools for flood damage assessment by including an often overlooked asset in current literature.
Cristina Prieto, Dhruvesh Patel, Dawei Han, Benjamin Dewals, Michaela Bray, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 24, 3381–3386, https://doi.org/10.5194/nhess-24-3381-2024, https://doi.org/10.5194/nhess-24-3381-2024, 2024
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
Short summary
Short summary
INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Natasha Petruccelli, Luca Mantecchini, Alice Gallazzi, Daniela Molinari, Mohammed Hammouti, Marco Zazzeri, Simone Sterlacchini, Francesco Ballio, Armando Brath, and Alessio Domeneghetti
Proc. IAHS, 385, 407–413, https://doi.org/10.5194/piahs-385-407-2024, https://doi.org/10.5194/piahs-385-407-2024, 2024
Short summary
Short summary
The study illustrates the methodology developed for flood risk assessment for road and railway infrastructures. Through the creation of a detailed database, using different data sources, and the definition of a risk matrix, a risk level (High, Medium, Low and Null) is assigned to each section, considering the physical and functional characteristics of the infrastructure, as well as its relevance and the magnitude of the expected event.
Panagiotis Asaridis and Daniela Molinari
Adv. Geosci., 61, 1–21, https://doi.org/10.5194/adgeo-61-1-2023, https://doi.org/10.5194/adgeo-61-1-2023, 2023
Short summary
Short summary
This paper presents a conceptual model for the estimation of flood damage to power grids and reviews the available methodologies, to better understand current modelling approaches, challenges, and limitations. The model adopts an interdisciplinary and multi-scale evaluation approach to handle the complex damage mechanisms and capture the cascading effects. In doing so, it adapts to different geographical and economic contexts, allowing stakeholders to implement comprehensive damage assessments.
Tommaso Simonelli, Laura Zoppi, Daniela Molinari, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 22, 1819–1823, https://doi.org/10.5194/nhess-22-1819-2022, https://doi.org/10.5194/nhess-22-1819-2022, 2022
Short summary
Short summary
The paper discusses challenges (and solutions) emerged during a collaboration among practitioners, stakeholders, and scientists in the definition of flood damage maps in the Po River District. Social aspects were proven to be fundamental components of the risk assessment; variety of competences in the working group was key in finding solutions and revealing weaknesses of intermediate proposals. This paper finally highlights the need of duplicating such an experience at a broader European level.
Anna Rita Scorzini, Benjamin Dewals, Daniela Rodriguez Castro, Pierre Archambeau, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 22, 1743–1761, https://doi.org/10.5194/nhess-22-1743-2022, https://doi.org/10.5194/nhess-22-1743-2022, 2022
Short summary
Short summary
This study presents a replicable procedure for the adaptation of synthetic, multi-variable flood damage models among countries that may have different hazard and vulnerability features. The procedure is exemplified here for the case of adaptation to the Belgian context of a flood damage model, INSYDE, for the residential sector, originally developed for Italy. The study describes necessary changes in model assumptions and input parameters to properly represent the new context of implementation.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
Short summary
Short summary
To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
Marta Ballocci, Daniela Molinari, Giovanni Marin, Marta Galliani, Alessio Domeneghetti, Giovanni Menduni, Simone Sterlacchini, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 26, 251–270, https://doi.org/10.5194/nhess-26-251-2026, https://doi.org/10.5194/nhess-26-251-2026, 2026
Short summary
Short summary
This study estimates flood direct damage to businesses in Italy using 812 damage records from five riverine flood case studies. A multiple regression model predicts economic damage based on business size, water depth, and economic sectors. The results show that damage increases non-proportionally with firm size, while water depth mainly affects stock damage. Healthcare, commercial, and manufacturing sectors are most vulnerable to building, stock, and equipment damage, respectively.
Sara Rrokaj, Chiara Arrighi, Marta Ballocci, Gabriele Bertoli, Francesca da Porto, Claudia De Lucia, Mario Di Bacco, Paola Di Fluri, Alessio Domeneghetti, Marco Donà, Alice Gallazzi, Andrea Gennaro, Mohammed Hammouti, Gianluca Lelli, Sara Mozzon, Natasha Petruccelli, Elisa Saler, Anna Rita Scorzini, Simone Sterlacchini, Gaia Treglia, Debora Voltolina, Marco Zazzeri, and Daniela Molinari
Earth Syst. Sci. Data, 17, 6487–6496, https://doi.org/10.5194/essd-17-6487-2025, https://doi.org/10.5194/essd-17-6487-2025, 2025
Short summary
Short summary
Flood damage data are key to understanding territorial risks and supporting the design of mitigation measures. However, such data are scarce, and the available ones often lack a high level of detail. We conducted a field survey of residential, commercial, and industrial premises affected by the record-breaking flood event that hit Italy’s Marche region in 2022. The resulting datasets cover 256 assets and include detailed information on damage, building features, and mitigation measures.
Pradeep Acharya, Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 25, 4317–4330, https://doi.org/10.5194/nhess-25-4317-2025, https://doi.org/10.5194/nhess-25-4317-2025, 2025
Short summary
Short summary
INSYDE-content is a novel probabilistic model designed to estimate flood damage to household contents. Based on a synthetic “what-if” approach, it integrates multiple input variables describing both exposed items and damage mechanisms, while accounting for uncertainty. The model expands the range of available tools for flood damage assessment by including an often overlooked asset in current literature.
Cristina Prieto, Dhruvesh Patel, Dawei Han, Benjamin Dewals, Michaela Bray, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 24, 3381–3386, https://doi.org/10.5194/nhess-24-3381-2024, https://doi.org/10.5194/nhess-24-3381-2024, 2024
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
Short summary
Short summary
INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Natasha Petruccelli, Luca Mantecchini, Alice Gallazzi, Daniela Molinari, Mohammed Hammouti, Marco Zazzeri, Simone Sterlacchini, Francesco Ballio, Armando Brath, and Alessio Domeneghetti
Proc. IAHS, 385, 407–413, https://doi.org/10.5194/piahs-385-407-2024, https://doi.org/10.5194/piahs-385-407-2024, 2024
Short summary
Short summary
The study illustrates the methodology developed for flood risk assessment for road and railway infrastructures. Through the creation of a detailed database, using different data sources, and the definition of a risk matrix, a risk level (High, Medium, Low and Null) is assigned to each section, considering the physical and functional characteristics of the infrastructure, as well as its relevance and the magnitude of the expected event.
Panagiotis Asaridis and Daniela Molinari
Adv. Geosci., 61, 1–21, https://doi.org/10.5194/adgeo-61-1-2023, https://doi.org/10.5194/adgeo-61-1-2023, 2023
Short summary
Short summary
This paper presents a conceptual model for the estimation of flood damage to power grids and reviews the available methodologies, to better understand current modelling approaches, challenges, and limitations. The model adopts an interdisciplinary and multi-scale evaluation approach to handle the complex damage mechanisms and capture the cascading effects. In doing so, it adapts to different geographical and economic contexts, allowing stakeholders to implement comprehensive damage assessments.
Tommaso Simonelli, Laura Zoppi, Daniela Molinari, and Francesco Ballio
Nat. Hazards Earth Syst. Sci., 22, 1819–1823, https://doi.org/10.5194/nhess-22-1819-2022, https://doi.org/10.5194/nhess-22-1819-2022, 2022
Short summary
Short summary
The paper discusses challenges (and solutions) emerged during a collaboration among practitioners, stakeholders, and scientists in the definition of flood damage maps in the Po River District. Social aspects were proven to be fundamental components of the risk assessment; variety of competences in the working group was key in finding solutions and revealing weaknesses of intermediate proposals. This paper finally highlights the need of duplicating such an experience at a broader European level.
Anna Rita Scorzini, Benjamin Dewals, Daniela Rodriguez Castro, Pierre Archambeau, and Daniela Molinari
Nat. Hazards Earth Syst. Sci., 22, 1743–1761, https://doi.org/10.5194/nhess-22-1743-2022, https://doi.org/10.5194/nhess-22-1743-2022, 2022
Short summary
Short summary
This study presents a replicable procedure for the adaptation of synthetic, multi-variable flood damage models among countries that may have different hazard and vulnerability features. The procedure is exemplified here for the case of adaptation to the Belgian context of a flood damage model, INSYDE, for the residential sector, originally developed for Italy. The study describes necessary changes in model assumptions and input parameters to properly represent the new context of implementation.
Animesh K. Gain, Yves Bühler, Pascal Haegeli, Daniela Molinari, Mario Parise, David J. Peres, Joaquim G. Pinto, Kai Schröter, Ricardo M. Trigo, María Carmen Llasat, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 22, 985–993, https://doi.org/10.5194/nhess-22-985-2022, https://doi.org/10.5194/nhess-22-985-2022, 2022
Short summary
Short summary
To mark the 20th anniversary of Natural Hazards and Earth System Sciences (NHESS), an interdisciplinary and international journal dedicated to the public discussion and open-access publication of high-quality studies and original research on natural hazards and their consequences, we highlight 11 key publications covering major subject areas of NHESS that stood out within the past 20 years.
Cited articles
Abendroth, L. J., Woli, K. P., Myers, A. J., and Elmore, R. W.: Yield-based corn
planting date recommendation windows for Iowa, Crop, Forage & Turfgrass
Management, 3, 1–7, https://doi.org/10.2134/cftm2017.02.0015, 2017.
AdBPo (Autorità di Bacino del Fiume Po): Rapporto sulla piena del
novembre 2002 in Lombardia – Fiumi Lambro e Adda Sottolacuale, Parma,
Italy, 2003.
AdBPo (Autorità di Bacino del Fiume Po): Studio di fattibilità della
sistemazione idraulica del fiume Adda nel tratto da Olginate alla confluenza
in Po, del fiume Brembo nel tratto da Lenna alla confluenza in Adda, del
fiume Serio nel tratto da Parre alla confluenza in Adda, Parma, Italy, 2004.
Agenais, A. L., Grelot, F., Brémond, P., and Erdlenbruch, K.: Dommages
des inondations au secteur agricole, Guide méthodologique et fonctions
nationales, IRSTEA, UMR G-EAU “Gestion de l'Eau, Acteurs et Usages”,
Montpellier, France, 2013.
Alfieri, L., Dottori, F., Betts, R., Salamon, P., and Feyen L.: Multi-model
projections of river flood risk in Europe under global warming, Climate,
6, 1–19, https://doi.org/10.3390/cli6010006, 2018.
Araki, H., Hossain, M. A., and Takahashi, T.: Waterlogging and hypoxia have
permanent effects on wheat root growth and respiration, J. Agron.
Crop Sci., 198, 264–275,https://doi.org/10.1111/j.1439-037X.2012.00510.x,
2012.
Arrighi, C., Rossi, L., Trasforini, E., Rudari, R., Ferraris, L., Brugioni,
M., Franceschini, S., and Castelli, F.: Quantification of flood risk
mitigation benefits: A building-scaledamage assessment through the RASOR
platform, J. Environ. Manage., 207, 92–104, https://doi.org/10.1016/j.jenvman.2017.11.017, 2018.
Ballesteros-Cánovas, J. A., Sanchez-Silva, M., Bodoque, J. M., and
Díez-Herrero, A.: An Integrated Approach to Flood Risk Management: A
Case Study of Navaluenga (Central Spain), Water Resour. Manag.,
27, 3051–3069, https://doi.org/10.1007/s11269-013-0332-1, 2013.
Brémond, P., Grelot, F., and Agenais, A.-L.: Review Article: Economic evaluation of flood damage to agriculture – review and analysis of existing methods, Nat. Hazards Earth Syst. Sci., 13, 2493–2512, https://doi.org/10.5194/nhess-13-2493-2013, 2013.
Cammerer, H., Thieken, A. H., and Lammel, J.: Adaptability and transferability of flood loss functions in residential areas, Nat. Hazards Earth Syst. Sci., 13, 3063–3081, https://doi.org/10.5194/nhess-13-3063-2013, 2013.
Centre for Research on the Epidemiology of Disasters (CRED): Natural
Disasters 2018, Brussels, Belgium, 2019.
Chatterton, J., Clarke, C., Daly, E., Dawks, S., Elding, C., Fenn, T., Hick,
E., Miller, J., Morris, J., Ogunyoye, F., and Salado, R.: The costs and
impacts of the winter 2013 to 2014 floods, Environment Agency, UK
Government, Report SC140025/R1, Bristol, UK, ISBN 978-1-84911-372-4, 2016.
Citeau, J. M.: A New Flood Control Concept in the Oise Catchment Area:
Definition and Assessment of Flood Compatible Agricultural Activities, FIG
Working Week, 13–17 April 2003, Paris, France, 2003.
de Moel, H., van Alphen, J., and Aerts, J. C. J. H.: Flood maps in Europe – methods, availability and use, Nat. Hazards Earth Syst. Sci., 9, 289–301, https://doi.org/10.5194/nhess-9-289-2009, 2009.
Dobor, L., Barcza, Z., Hlásny, T., Árendás, T., Spitkó, T.,
and Fodor, N.: Crop planting date matters: Estimation methods and effect on
future yields, Agr. Forest Meteorol., 223, 103–115, https://doi.org/10.1016/j.agrformet.2016.03.023, 2016.
Dunderdale, J. A. L. and Morris J.: The Benefit: Cost analysis of river
maintenance, Water Environ. J., 11, 423–430, https://doi.org/10.1111/j.1747-6593.1997.tb01375.x, 1997.
Dutta, D., Herath, S., and Musiake K.: A mathematical model for flood loss
estimation, J. Hydrol., 277, 24–49, https://doi.org/10.1016/S0022-1694(03)00084-2, 2003.
European Environment Agency (EEA): Economic Losses from Climate-Related
Extremes, European Environment Agency (EEA), Copenhagen, Denmark, 2017.
Förster, S., Kuhlmann, B., Lindenschmidt, K.-E., and Bronstert, A.: Assessing flood risk for a rural detention area, Nat. Hazards Earth Syst. Sci., 8, 311–322, https://doi.org/10.5194/nhess-8-311-2008, 2008.
Guida, R. J., Remo, J. W. F. B., and Secchi S.: Tradeoffs of strategically
reconnecting rivers to their floodplains: The case of the Lower Illinois
River (USA), Sci. Total Environ., 572, 43–55, https://doi.org/10.1016/j.scitotenv.2016.07.190, 2016.
Hallett, P., Hall, R., Lilly, A., Baggaley, B., Crooks, B., Ball, B.,
Raffan, A., Braun, H., Russell, T., Aitkenhead, M., Riach, D., Rowan, J.,
and Long, A.: Effect of soil structure and field drainage on water quality
and flood risk, CRW2014_03, CREW, Aberdeen, Scotland, UK, 2016.
Hein, T. C., Baranyi, C., Herndl, G. J., Wanek, W., and Schiemer, F.:
Allochthonous and autochthonous particulate organic matter in floodplains of
the River Danube: the importance of hydrological connectivity, Freshwater
Biol., 48, 220–232, https://doi.org/10.1046/j.1365-2427.2003.00981.x, 2003.
Hoes, O. and Schuurmans, W.: Flood standards or risk analyses for polder
management in the Netherlands, Irrig. Drain., 55, S113–S119,
2006.
Hussain, S. G.: Decision Support System for Assessing Rice Yield Loss from
Annual Flooding in Bangladesh, PhD Dissertation, University of Hawaii – UMI
Company, USA, 1996.
Jongman, B., Kreibich, H., Apel, H., Barredo, J. I., Bates, P. D., Feyen, L., Gericke, A., Neal, J., Aerts, J. C. J. H., and Ward, P. J.: Comparative flood damage model assessment: towards a European approach, Nat. Hazards Earth Syst. Sci., 12, 3733–3752, https://doi.org/10.5194/nhess-12-3733-2012, 2012.
Jonkman, S. N., Brinkhuis-Jak, M., and Kok, M.: Cost benefit analysis and
flood damage mitigation in the Netherlands, HERON, 49, 95–111, 2004.
Klaus, S., Kreibich, H., Merz, B., Kuhlmann, B., and Schröter K.:
Large-scale, seasonal flood risk analysis for agricultural crops in Germany,
Environ. Earth Sci., 75, 1289, https://doi.org/10.1007/s12665-016-6096-1, 2016.
Kok, M., Huizinga, H. J., Vrouwenvelder, A. C. W. M., and Barendregt, A.:
Standard Method 2004 – Damage and Casualties Caused by Flooding,
DWW-2005-009, Ministerie van Verkeer en Waterstaat, Rijkswaterstaat, Dienst Weg- en Waterbouwkunde, the Netherlands, 2005.
Lauer, J. G., Carter, P. R., Wood, T. M., Diezel, G., Wiersma, D. W., Rand,
R. E., and Mlynarek, M. J.: Corn hybrid response to planting date in the
northern corn belt, Agron. J., 91, 834–839, 1999.
Massarutto, A. and De Carli, A.: Two birds with one stone: Improving
ecological quality and flood protection through river restoration, Economics
and Policy of Energy and the Environment, 1, 117–145, https://doi.org/10.3280/EFE2014-001005, 2014.
Mechler, R.: Reviewing estimates of the economic efficiency of disaster risk
management: opportunities and limitations of using risk-based cost–benefit
analysis, Nat. Hazards, 81, 2121–2147, https://doi.org/10.1007/s11069-016-2170-y,
2016.
Mechler, R., Bouwer, L. M., Schinko, T., Surminski, S., and Linnerooth-Bayer,
J.: Loss and Damage from Climate Change. Concepts, Methods and Policy
Options, Springer, Cham, Switzerland, ISBN 978-3-319-72026-5, 2019.
Menoni, S., Molinari, D., Ballio, F., Minucci, G., Mejri, O., Atun, F., Berni, N., and Pandolfo, C.: Flood damage: a model for consistent, complete and multipurpose scenarios, Nat. Hazards Earth Syst. Sci., 16, 2783–2797, https://doi.org/10.5194/nhess-16-2783-2016, 2016.
Meyer, V., Becker, N., Markantonis, V., Schwarze, R., van den Bergh, J. C. J. M., Bouwer, L. M., Bubeck, P., Ciavola, P., Genovese, E., Green, C., Hallegatte, S., Kreibich, H., Lequeux, Q., Logar, I., Papyrakis, E., Pfurtscheller, C., Poussin, J., Przyluski, V., Thieken, A. H., and Viavattene, C.: Review article: Assessing the costs of natural hazards – state of the art and knowledge gaps, Nat. Hazards Earth Syst. Sci., 13, 1351–1373, https://doi.org/10.5194/nhess-13-1351-2013, 2013.
Molinari, D., De Bruijn, K., Castillo-Rodríguez, J. T., Aronica, G. T.,
and Bouwer, L. M.: Validation of flood risk models: Current practice and
possible improvements, Int. J. Disast. Risk Re., 33,
441–444, https://doi.org/10.1016/j.ijdrr.2018.10.022, 2019a.
Molinari, D., Scorzini, A. R., Gallazzi, A., and Ballio, F.: AGRIDE-c
simulator, Mendeley Data, https://doi.org/10.17632/js6xbx4whw.1, 2019b.
Morris, J.: Agricultural land drainage, land use change and economic
performance: Experience in the UK, Land Use Pol., 9, 185–198, 1992.
Morris, J. and Brewin, P.: The impact of seasonal flooding on agriculture:
the spring 2012 floods in Somerset, England, J. Flood Risk
Manag., 7, 128–140, https://doi.org/10.1111/jfr3.12041, 2014.
Morris, J. and Hess, T. M.: Agricultural flood alleviation benefit
assessment: a case study. Agr. Econ., 39, 402–412,
https://doi.org/10.1111/j.1477-9552.1988.tb00600.x, 1988.
Morris, J., Bailey, A. P., Lawson, C. S., Leeds-Harrison, P. B., Alsop, D., and
Vivash, R.: The economic dimensions of integrating flood management and
agri-environment through washland creation: a case from Somerset, England,
J. Environ. Manage., 88, 372–381, https://doi.org/10.1016/j.jenvman.2007.03.023, 2008.
Pangapanga, P. I., Jumbe, C. B., Kanyanda, S., and Thangalimodzi, L.:
Unravelling strategic choices towards droughts and floods' adaptation in
Southern Malawi, Int. J. Disast. Risk Re., 2, 57–66,
https://doi.org/10.1016/j.ijdrr.2012.08.002, 2012.
Penning-Rowsell, E., Priest, S., Parker, D., Morris, J., Tunstall, S.,
Viavattene, C., Chatterton, J., and Owen, D.:Flood and coastal erosion risk
management: a manual for economic appraisal. Routledge, Abingdon, Oxford,
UK, 2013.
Pitt, M.: The Pitt review: learning lessons from the 2007 floods, available
at: http://webarchive.nationalarchives.gov.uk (last access: 20 June 2018),
2008.
Pivot, J. M. and Martin, P.: Farms adaptation to changes in flood risk: a
management approach, J. Hydrol., 267, 12–25, https://doi.org/10.1016/S0022-1694(02)00136-1, 2002.
Posthumus, H., Morris, J., Hess, T. M., Neville, D., Phillips, E., and
Baylis, A.: Impacts of the summer 2007 floods on agriculture in England,
J. Flood Risk Manag., 2, 182–189, https://doi.org/10.1111/j.1753-318X.2009.01031.x, 2009.
Rao, R. and Li, Y.: Management of flooding effects on growth of vegetable
and selected field crops, HortTechnology, 13, 610–616, https://doi.org/10.21273/HORTTECH.13.4.0610, 2003.
Read Sturgess and Associates: Rapid Appraisal Method (RAM) for floodplain
Management, Department of Natural Resources and Environment, State of
Victoria, Australia, 2000.
Ren, B., Zhang, J., Dong, S., Liu, P., and Zhao, B.: Effects of duration of
waterlogging at different growth stages on grain growth of summer Maize (Zea
mays L.) under field conditions, J. Agron. Crop Sci.,
202, 564–575, https://doi.org/10.1111/jac.12183, 2016.
Rossetti, S., Cella, W., and Lodigiani, V.: Studio idrologico idraulico del
tratto di fiume Adda inserito nel territorio comunale, Comune di Lodi, Lodi,
Italy, 2010.
Rouquette, J. R., Posthumus, H., Morris, J., Hess, T. M., Dawson, Q. L., and
Gowing, D. J. G.: Synergies and trade-offs in the management of lowland rural
floodplains: an ecosystem services approach, Hydrolog. Sci. J.,
56, 1566–1581, https://doi.org/10.1080/02626667.2011.629785, 2011.
Saint-Geours, N., Grelot, F., Bailly, J. S., and Lavergne, C.: Ranking sources
of uncertainty in flood damage modelling: a case study on the cost-benefit
analysis of a flood mitigation project in the Orb Delta, France, J.
Flood Risk Manag., 8, 161–176, https://doi.org/10.1111/jfr3.12068, 2015.
Scorzini, A. R. and Leopardi, M.: River basin planning: from qualitative to
quantitative flood risk assessment: the case of Abruzzo Region (central
Italy), Nat. Hazards, 88, 71–93, https://doi.org/10.1007/s11069-017-2857-8, 2017.
Scorzini, A. R., Radice, A., and Molinari, D.: A New Tool to Estimate
Inundation Depths by Spatial Interpolation (RAPIDE): Design, Application and
Impact on Quantitative Assessment of Flood Damages, Water, 10, 1805, https://doi.org/10.3390/w10121805, 2018.
Setter, T. L. and Waters, I.: Review of prospects for germplasm improvement
for waterlogging tolerance in wheat, barley and oats, Plant Soil,
253, 1–34, https://doi.org/10.1023/A:1024573305997, 2003.
Shrestha, B. B., Okazumi, T., Tanaka, S., Sugiura, A., Kwak, Y., and Hibino
S.: Development of Flood Vulnerability Indices for Lower Mekong Basin in
Cambodian Floodplain, Journal of Japan Society of Civil Engineers, Ser. B1, 69, I_1–I_6, 2013.
Shreve, C. M. and Kelman, I.: Does mitigation save? Reviewing cost-benefit
analyses of disaster risk reduction, Int. J. Disast. Risk
Re., 10, 213–235, https://doi.org/10.1016/j.ijdrr.2014.08.004, 2014.
Tockner, K., Pennetzdorfer, D., Reiner, N., Schiemer, F., and Ward, J. V.:
Hydrological connectivity, and the exchange of organic matter and nutrients
in a dynamic river–floodplain system (Danube, Austria), Freshwater Biol.,
41, 521–535, https://doi.org/10.1046/j.1365-2427.1999.00399.x, 1999.
Tsimba, R., Edmeades, G. O., Millner, J. P., and Kemp, P. D.: The effect of planting date on maize grain yields and yield components, Field Crop. Res., 150, 135–144, https://doi.org/10.1016/j.fcr.2013.05.028, 2013.
U.S. Army Corps of Engineers (USACE): AGDAM Agricultural Flood Damage
Analysis – User's Manual (Provisional), available at: http://www.hec.usace.army.mil/ (last access: 16 November 2019), 1985.
Van Aalst, M. K.: The impacts of climate change on the risk of natural
disasters, Disasters, 30, 5–18, https://doi.org/10.1111/j.1467-9523.2006.00303.x,
2006.
Vozinaki, A. K., Karatzas, G. P., Sibetheros, I. A., and Varouchakis, E. A.: An
agricultural flash flood loss estimation methodology: the case study of the
Koiliaris basin (Greece), February 2003 flood, Nat. Hazards,
79, 899–920, https://doi.org/10.1007/s11069-015-1882-8, 2015.
Wobus, C., Gutmann, E., Jones, R., Rissing, M., Mizukami, N., Lorie, M., Mahoney, H., Wood, A. W., Mills, D., and Martinich, J.: Climate change impacts on flood risk and asset damages within mapped 100-year floodplains of the contiguous United States, Nat. Hazards Earth Syst. Sci., 17, 2199–2211, https://doi.org/10.5194/nhess-17-2199-2017, 2017.
Zaidi, P. H., Rafique, S., Rai, P. K., Singh, N. N., and Srinivasan, G.:
Tolerance to excess moisture in maize (Zea mays L.): susceptible crop stages
and identification of tolerant genotype, Field Crop. Res., 90, 189–202,
https://doi.org/10.1016/j.fcr.2004.03.002, 2004.
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...
Altmetrics
Final-revised paper
Preprint