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Modeling drought derivatives in arid regions: A case study in Qatar

Posted on:2017-01-17Degree:M.SType:Thesis
University:Trent University (Canada)Candidate:Paek, JayoengFull Text:PDF
GTID:2463390014462055Subject:Applied Mathematics
Abstract/Summary:
We propose a stochastic weather model based on temperature, precipitation, humidity and wind speed for Qatar, as a representative arid region, in order to obtain simulated values for a drought index.;As a drought index, the Reconnaissance Drought Index (RDI) is commonly accepted in agriculture and is used to measure drought severity. It can be used to price weather derivatives to help farmers reduce nancial losses from drought. RDI, which is the ratio of precipitation to evapotranspiration, is calculated by considering crop growth stages. The use of dierent crop coecient value depending on the growth stage to calculate evapotranspiration can provide improved values for RDI. Additionally, six calculation methods for evapotranspiration using weather data are investigated to obtain accurate values for RDI.
Keywords/Search Tags:Drought, Weather, Rdi
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