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An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA

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  • Hong Wu
  • Donald Wilhite

Abstract

Drought is a common occurrence in Nebraska and agriculture is the primary economic sector affected. Because of repeated and widespread severe drought impacts, more emphasis on drought risk management is warranted. This study develops an agricultural drought risk assessment model using multivariate techniques. The model is specific to corn and soybeans and is able to assess real-time agricultural drought risk associated with crop yield losses at critical phenological stages prior to and during the growing season. The assessment results are presented in a Geographic Information System to provide a better visualization. This model provides information in a timely manner about potential agricultural drought risks on dryland crop yield to decision makers ranging from agricultural producers to policy makers from local to national levels. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Hong Wu & Donald Wilhite, 2004. "An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(1), pages 1-21, September.
    • Handle: RePEc:spr:nathaz:v:33:y:2004:i:1:p:1-21
    DOI: 10.1023/B:NHAZ.0000034994.44357.75
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    References listed on IDEAS

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    1. Olga Wilhelmi & Donald Wilhite, 2002. "Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 25(1), pages 37-58, January.
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    6. de Jager, J. M. & Potgieter, A. B. & van den Berg, W. J., 1998. "Framework for forecasting the extent and severity of drought in maize in the Free State Province of South Africa," Agricultural Systems, Elsevier, vol. 57(3), pages 351-365, July.
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