Diagnoses on the Yellow River runoff series based on complexity theory
Tong Chun-sheng, Qiang Huang · Journal of systems engineering · 2005
Hydrology series character diagnoses is one of the key problems of hydrology forecasting,which is not yet to be solved.Based on the complexity measure of complexity theory the river runoff series of different hydrology stations in mainstream of the Yellow River is diagnoses.The results show that the Yellow River runoff series character is focused on is diagnosed randomicity,deterministic and chaos;the human activity effect increases the randomicity and chaos of runoff variety;and the randomicity in downstream is higher than that in upstream,the chaos in upstream is higher than that in downstream.And it is show that the complexity measure has sensitive identification ability,which offeres a new method to identify river runoff series character and the human activity effects.