INTEGRATION OF GEOSPATIAL MODELS FOR AGRICULTURAL DROUGHT VULNERABILITY ASSESSMENT, NAKHON RATCHASIMA, THAILAND
Abstract
Nakhon Ratchasima province is one of the drought prone areas in Thailand. The main objectives of the study were (1) to assess the exposure to drought hazard, (2) to assess the agricultural drought sensitivity, (3) to assess the adaptive capacity on agricultural drought, and (4) to assess and map the agricultural drought vulnerability and its severity. In this study, the exposure to drought hazard based on a combination of the meteorological drought hazard frequency and intensity of 3 periods (3m7, 3m10, and 6m10), the agricultural drought sensitivity based on a combination of the climate, vegetation, and physical and socioeconomic conditions of the 3 periods, and the adaptive capacity based on socioeconomic data were separately analyzed. Then, the 3 derived classifications were combined to classify the agricultural drought vulnerability. The most dominant class of the exposure to drought hazard classification of the 3 periods was high and very high and covered areas of 43.60%, 39.20%, and 49.50%, respectively, but the most dominant class of agricultural drought sensitivity classification was very low and low and covered area of 36.55%, 40.43%, and 40.62%, respectively. In the meantime, the most dominant class of the adaptive capacity classification was very low and low and covered an area of 38.73%. Subsequently, the most dominant class of agricultural drought vulnerability assessment of the 3m7 and 6m10 periods was very low and low and covered areas of 35.83% and 37.91%, respectively. Conversely, the most dominant class of the 3m10 period was high and very high and covered an area of 42.35%. In conclusion, geospatial modeling can be efficiently used as a tool to assess drought exposure hazard, agricultural drought sensitivity, and adaptive capacity for agricultural drought vulnerability assessment.
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