dc.contributor.authorStojanovski, Pane
dc.contributor.authorDong, Weimin
dc.contributor.authorWang, Ming
dc.contributor.authorYe, Tao
dc.contributor.authorLi, Shuangcai
dc.contributor.authorMortgat, Christian P.
dc.date.accessioned2018-09-10T06:27:56Z
dc.date.available2018-09-10T06:27:56Z
dc.date.issued2015
dc.identifier.citationStojanovski, P., Dong, W., Wang, M., Ye, T., Li, S., & Mortgat, C. P. (2015). Agricultural risk modeling challenges in China : probabilistic modeling of rice losses in Hunan province. International Journal of Disaster Risk Science, 6(4), 335-346. doi:10.1007/s13753-015-0071-4en_US
dc.identifier.issn2095-0055en_US
dc.identifier.urihttp://hdl.handle.net/10220/45912
dc.description.abstractThis article summarizes a joint research project undertaken under the Risk Management Solutions, Inc. (RMS) banner to investigate some of the possible approaches for agricultural risk modeling in China. Two modeling approaches were investigated—the simulated weather crop index and the burn yield analysis approach. The study was limited to Hunan Province and a single crop—rice. Both modeling approaches were dealt with probabilistically and were able to produce probabilistic risk metrics. Illustrative model outputs are also presented. The article discusses the robustness of the modeling approaches and their dependence on the availability, access to, and quality of weather and yield data. We offer our perspective on the requirements for models and platforms for agricultural risk quantification in China in order to respond to the needs of all stakeholders in agricultural risk transfer.en_US
dc.format.extent12 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesInternational Journal of Disaster Risk Scienceen_US
dc.rights© 2015 The Author(s). This article is published with open access at Springerlink.com. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.en_US
dc.subjectAgricultural Risk Modelingen_US
dc.subjectCatastrophe Risken_US
dc.subjectDRNTU::Science::Mathematicsen_US
dc.titleAgricultural risk modeling challenges in China : probabilistic modeling of rice losses in Hunan provinceen_US
dc.typeJournal Article
dc.identifier.doihttp://dx.doi.org/10.1007/s13753-015-0071-4
dc.description.versionPublished versionen_US
dc.contributor.organizationInstitute of Catastrophe Risk Managementen_US


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