A new method for identification of flood seasons using directional statistics Academic Article uri icon

abstract

  • Information on flood seasonality is required in many practical applications, such as estimation of seasonal design floods, flood forecasting and protection, flood-plain management and operation of water resources systems. Directional statistics (DS) and relative frequency (RF) are two of the popular methods for identifying flood seasonality. A new method, which is an improvement over DS, the IDS method, is proposed to identify flood seasonality and partition the flood season into sub-seasons. The performance of the IDS method was evaluated using synthetic data as well as observed data. The RF, DS and IDS methods were applied to the Geheyan and Baishan reservoir basins in China, and their results were compared and analysed. The results of flood seasonality identified by the IDS method were more objective than those of the RF and DS methods. © 2013 Copyright 2013 IAHS Press.

author list (cited authors)

  • Chen, L. u., Singh, V. P., Guo, S., Fang, B., & Liu, P.

citation count

  • 26

publication date

  • January 2013