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Agriculture is one of the major economic drivers and the production is highly dependable on the climatic conditions and very sensitive to the natural hazards like the flood. The Federal Emergency Management Agency (FEMA) of United States developed Hazard-US model (HAZUS), a tool to estimate the loss to several sectors due to natural hazards like floods, hurricanes, and earthquakes. The study assesses the influence of input model parameters for HAZUS flood loss to crops.
This thesis analyzes different combinations of input parameters for the Middle Cedar River Watershed in Iowa. The parameters have been modified based on the cropping pattern of the study region and the pricing trends. The results include the computation of the loss distribution and the determination of the most influential parameters.
The study has found that some parameters are more influential in the loss estimation. The influence of parameters for the average annual loss (AAL) calculation is similar. Floods at the end of the cropping season are much more severe than floods at the beginning of the cropping season. Corns are more at risk than soybean because of the longer cropping season. Some counties experience more loss than others based on AAL.
The results indicate that the agricultural sector is more vulnerable to floods at the end of the cropping season. The estimation of loss can help emergency planning for floods affecting agriculture, and optimize the agricultural resource management. The inclusion of additional parameters like flood velocity and water quality in the model can increase the accuracy of the estimation.