Hybrid Fuzzy—Probabilistic Analysis and Classification of the Hydrological Drought

Proceedings

Papadopoulos, Christoforos¹  Spiliotis, Mike²  Angelidis, Panagiotis³ 

[1] Author to whom correspondence should be addressed.;Department of Civil Engineering, School of Engineering, Democritus University of Thrace, Kimmeria Campus, 67100 Xanthi, Greece;Presented at the 3rd EWaS International Conference on “Insights on the Water-Energy-Food Nexus”, Lefkada Island, Greece, 27–30 June 2018

关键词: classification to drought;    hydrological drought;    fuzzy regression;    log-normal distribution;    evros river;   

DOI  :  10.3390/proceedings2110643

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

The consideration of a theoretical probability distribution regarding the annual cumulative discharge will provide a significant opportunity to characterize the intensity of the hydrological drought. However, the matching between the observed probabilities and the adopted theoretical probability distribution can not be identical. Hence, in this work this matching is achieved by using a fuzzy regression based methodology and the attributes of the log-normal distribution. Finally, an ascending procedure to classify the intensity of hydrological drought is proposed and it is applied in case of the Evros River.

【 授权许可】

CC BY