Skip to main content

Advertisement

Log in

Event-based approach for probabilistic agricultural drought risk assessment under rainfed conditions

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

An event-based approach for the probabilistic risk assessment of agricultural drought under rainfed conditions to estimate the economic impact is proposed. The risk parameters are evaluated in an event-based probabilistic framework for a set of hazard events; these results are probabilistically integrated including, in a formal way, all uncertainties related to every part of the process. The hazard is defined as a stochastic or historic set of events, collectively exhaustive and mutually exclusive, that describes the spatial distribution, the annual frequency, and the randomness of the hazard intensity. The risk is expressed in different economic terms: the average annual loss (or pure risk premium) and the loss exceedance curve; these metrics are of particular importance for risk retention (financing) schemes or risk transfer instruments. As an illustrative example, this approach is applied to probabilistic drought risk assessment of maize under rainfed conditions in Mexico. These results are the base of further studies in defining strategies for financial protection against agricultural losses and disasters.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Agroasemex (2006) La Experiencia Mexicana en el Desarrollo y Operación de Seguros Paramétricos Orientados a la Agricultura (in Spanish)

  • Benjamin JR, Cornell CA (1970) Probability, statistics and decision for Civil Engineers. McGraw Hill, New York

    Google Scholar 

  • Cardona OD, Ordaz MG, Reinoso E, Yamín LE, and Barbat AH (2012) CAPRA—comprehensive approach to probabilistic risk assessment: international initiative for risk management effectiveness. In: Proceedings of the 15th world conference in earthquake engineering. Lisbon, Portugal

  • Council of European Communities (2007) Directive on the assessment and management of flood risks (2007/60/EC). Off J L288:27–34

    Google Scholar 

  • Cressman G (1959) An operational objective analysis system. Mon Weather Rev 87:367–374

    Article  Google Scholar 

  • Dickson E, Baker JL, Hoornweg D, Tiwari A (2012) Urban risk assessments: understanding disaster and climate risk in cities. Urban development series. Washington, DC, World Bank. doi:10.1596/978-0-8213-8962-1

  • ERN-AL (2010) CAPRA, compressive approach for probabilistic risk assessment. World Bank, Inter-American Development Bank. http://www.ecapra.org

  • Esteva L (1967) Criteria for the construction of seismic design spectra. In: Proceedings of the 3rd panamerican symposium on structures. Caracas, Venezuela (in Spanish)

  • European Commission (2007) Drought management plan report. Including agricultural, drought indicators and climate change aspects. Water scarcity and droughts expert network of common implementation strategy for the water framework directive (2000/60/EC)

  • Global Assessment Report (2011) United Nations international strategy for disaster reduction publication. Geneva

  • Hong W, Wilhite D (2004) An operational agricultural drought risk assessment model for Nebraska, USA. Nat Hazards 33:1–21

    Article  Google Scholar 

  • Jayanthi H, Husak GJ, Funk CC, Magadzire T, Galu G, Adoum A, Verdin JP (2014) A probabilistic approach to assess agricultural drought risk to maize in Southern Africa and millet in Western Sahel using satellite estimated rainfall. Int J Disaster Risk Reduct 10:490–502

  • Jones J, Hoogenboom C, Porter C, Boote K, Batchelor W, Hunt L, Wilkens P, Singh U, Gijsman A, Ritchie J (2003) The DSSAT cropping system model. Eur J Agron 18:235–265

    Article  Google Scholar 

  • Keulen H, Wolfs J (eds) (1986) Modeling of agricultural production: weather, soil and crops. Simulation monographs. Pudoc, Wageningen

    Google Scholar 

  • Kiem A, Franks W (2004) Multi-decadal variability of drought risk, eastern Australia. Hydrol Process 18:2039–2050

    Article  Google Scholar 

  • Krishnamurti T, Bounoua L (1996) An introduction to numerical weather prediction techniques. CRC Press, Boca Raton

    Google Scholar 

  • Mesinger F et al (2006) North American regional reanalysis. Bull Am Meteorol Soc 87:343–360

    Article  Google Scholar 

  • Mishra A, Singh V (2010) A review of drought concepts. J Hydrol 391:202–216

    Article  Google Scholar 

  • Ngigi S, Savenije H, Rockstrom J, Gachen C (2005) Hydro-economic evaluation of rainwater harvesting and management technologies: farmers investment options and risks in semi-arid Laikipia district of Kenya. Phys Chem Earth 30:772–782

    Article  Google Scholar 

  • Ordaz M, Miranda E, Reinoso E and Perez-Rocha LE (2000) Seismic loss estimation model for Mexico city. In: Proceedings of the 12th world conference of earthquake engineering, paper No. 1902

  • Paulo A, Pereira L (2007) Prediction of SPI drought class transitions using Markov chains. Water Resour Manag 21:1813–1827

    Article  Google Scholar 

  • Penning de Vries FWT, Jansen DM, ten Berge HFM, Bakema A (1989) Simulation of ecophysiological processes of growth in several annual crops. International Rice Research Institute, Pudoc, Los Baños, Wageningen

    Google Scholar 

  • Peterson T, Vose R, Schmoyer R, Razuvaev V (1998) Global Historical Climatology Network (GHCN) quality control of monthly temperature data. Int J Climatol 18:1169–1179

    Article  Google Scholar 

  • Popova Z, Kercheva M (2005) CERES model application for increasing preparedness to climate variability in agricultural planning: risk analyses. Phys Chem Earth 30:117–124

    Article  Google Scholar 

  • Quijano C, Aguirre G, Villarreal F (1993) Un modelo de simulación de la producción de maíz de temporal. Coloquio Mesoamericano de Sistemas de Producción

  • Quijano C, Aguirre R, Paredes, Vargas JA (1995) Using crop growth simulation models to support agricultural research planning in Mexico. In: «Applying Crop Models and Decision Support Systems». Special Publication IFDC-SP-22. International Consortium for Agricultural Systems Applications. International Fertilizer Development Center. University of Florida

  • Quijano C, Paredes M, García L (1998a) Caracterización de genotipos de maíz para la calibración de modelos de simulación. XVII Congreso de Citogenética, Acapulco, Guerrero (in Spanish)

  • Quijano C, Paredes M, Villarreal F (1998b) MSPEC, Modelo de simulación del potencial ecológico de los cultivos. En Memoria del XVII Congreso Nacional de Fitogenética, Acapulco, Guerrero (in Spanish)

  • Quijano C, Rocha R, Narro J, García ML, Prieto M, Yáñez R, Hernández MI, Hernández RM (2004a). Sistema de Información para el Monitoreo del Potencial Ecológico de los Cultivos. Memoria del XXXII Congreso Nacional de la Ciencia del Suelo. León Guanajuato

  • Quijano C, Aguirre G, Paredes M (2004b) Using crop simulation models to support Agricultural Research Planning in México. Applying Crop models and decision support systems. International consortium for Agricultural Systems Applications University or Florida, International Fertilizer Development Center, pp 43–44

  • Richter G, Semenov M (2005) Modeling impacts of climate change on wheat yields in England and Wales: assessing drought risks. Agric Syst 84:77–97

    Article  Google Scholar 

  • Steduto P, Hsiao TC, Raes D, Fereres E (2009) AquaCrop: the FAO crop model to simulate yield response to water: I. Concepts and underlying principles. Agron J 101:426–437

    Article  Google Scholar 

  • Torres MA, Jaimes MA, Reinoso E, Ordaz M (2013) Event-based approach for probabilistic flood risk assessment. Int J River Basin Manag. doi:10.1080/15715124.2013.847844

    Google Scholar 

  • UNISDR United Nations Office for Disaster Risk Reduction (2011) Global assessment report on disaster risk reduction. United Nations International Strategy for Disaster Reduction, Geneva

    Google Scholar 

  • USACE (2013) U.S. Army Corps of Engineers. http://www.nfrmp.us/frm_terminology.cfm#def40

  • Wilhite DA (ed) (2005) Drought and water crises: science, technology, and management issues. CRC Press, Boca Raton

    Google Scholar 

  • World Bank (2005) Natural disaster hotspots: a global risk analysis. Disaster Risk Management Series No. 5, Hazard Management Unit, The World Bank

  • World Bank (2009) Central America probabilistic risk assessment, methodology of probabilistic modelling for natural hazards, Technical Report ERN-CAPRA-T1-3 (in Spanish)

  • World Bank (2012a) Cities and Flooding: a guide to integrated urban flood risk management for the 21st century. In: Abhas J, Bloch R, Lamond J (eds) Washington, DC, The World Bank, p. 631

  • World Bank (2012b) FONDEN—Mexico´s natural disaster fund: a review. The World Bank, Washington, DC, p 78

    Google Scholar 

  • Xinyou Y, van Laar HH (2005) Crop systems dynamics. An ecophysiological simulation model for genotype-by-environment interactions. Wageningen Academic Publishers, Wageningen

    Google Scholar 

  • Yamoaha C, Walters D, Shapiro C, Francis C, Hayesc M (2000) Standardized precipitation index and nitrogen rate effects on crop yields and risk distribution in maize. Agric Ecosyst Environ 80:113–120

    Article  Google Scholar 

Download references

Acknowledgments

This project was supported by the Ministry of the Interior (Secretaría de Gobernación) and the Ministry of Finance (Secretaría de Hacienda) of Mexico. The authors acknowledge the collaboration of Matías Méndez in some parts of this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marco A. Torres.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Quijano, J.A., Jaimes, M.A., Torres, M.A. et al. Event-based approach for probabilistic agricultural drought risk assessment under rainfed conditions. Nat Hazards 76, 1297–1318 (2015). https://doi.org/10.1007/s11069-014-1550-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-014-1550-4

Keywords

Navigation