Drought Monitoring and Prediction Using K-Nearest Neighbor Algorithm
عنوان مقاله: Drought Monitoring and Prediction Using K-Nearest Neighbor Algorithm
شناسه ملی مقاله: RCEAUD02_142
منتشر شده در دومین کنفرانس بین المللی یافته های نوین پژوهشی در مهندسی عمران، معماری ومدیریت شهری در سال 1395
شناسه ملی مقاله: RCEAUD02_142
منتشر شده در دومین کنفرانس بین المللی یافته های نوین پژوهشی در مهندسی عمران، معماری ومدیریت شهری در سال 1395
مشخصات نویسندگان مقاله:
E fadaei kermani - Department of Civil Engineering, Faculty of Engineering , Shahid Bahonar University of Kerman, Kerman, Iran, PO Box ۷۶۱۶۹-۱۳۳
g.a barani
m ghaeini hessaroeyeh
خلاصه مقاله:
E fadaei kermani - Department of Civil Engineering, Faculty of Engineering , Shahid Bahonar University of Kerman, Kerman, Iran, PO Box ۷۶۱۶۹-۱۳۳
g.a barani
m ghaeini hessaroeyeh
Drought is a climate phenomenon which might occur in any climate condition and all regions on the earth. Effective drought management depends on the application of appropriate drought indices. Drought indices are variables which are used to detect and characterize drought conditions. In this study, it was tried to predict drought occurrence, based on the standard precipitation index (SPI), using k-nearest neighbor modeling. The model was tested by using precipitation data of Kerman, Iran. Results showed that the model gives reasonable predictions of drought situation in the region. Finally, the efficiency and precision of the model was quantified by some statistical coefficients. Appropriate values of the correlation coefficient (r=0.874), mean absolute error (MAE=0.106), root mean square error (RMSE=0.119) and coefficient of residual mass (CRM=0.0011) indicated that the present model is suitable and efficient
کلمات کلیدی: Drought monitoring, Standard precipitation index, Nearest neighbor model, Model evaluation
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/499324/