Abstract
Drought is a serious disaster in agriculture, especially to upland crops. Hence, the Agricultural Drought Analysis model(ADAM) that is integratable with GIS was applied to analyze agricultural drought in upland. ADAM is compose of two sub-models, one is a Soil Water Balance Model(SWBM) and the other is a Drought Analysis Model(DAM) that is based on the Runs theory. The ADAM needs weather data, rainfall data and soil physical characteristic data as input and calculation of regional soil moisture using digitized landuse map, detailed soil map, thiessen network and district boundary. For the agricultural drought analysis, the ADAM adpat the Runs theory for analyzing drought duration, severity and magnitude. Log-Pearson Type-III probability distribution function and Kolmogorov-Smirnov test were used to test the fitness of good of the model. The integration of ADAM with GIS was successfully implemented and would be operated effectively for the regional drought analysis.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
