Current Status of Time Series Analysis in Hydrological Sciences

Abstract

Time series analysis has been successfully applied in the fields like geology, ocean engineering, seismology, hydrology, climatology, etc. The hydrological and climatological time series studies have been carried out for analyzing the historic rainfall data (e.g., Henderson, 1989; De Michele et al., 1998; Mirza et al., 1998; Pagliara et al., 1998; Abaurrea and Cebrian, 2003; Pugacheva et al., 2003; Astel et al., 2004), streamflow data (Avinash and Ghanshyam, 1988; Capodaglio and Moisello, 1990; Radziejewski et al., 2000; Fanta et al., 2001; Adeloye and Montaseri, 2002; Chen and Rao, 2002), flood data (Grew and Werrity, 1995; Changnon and Kunkel, 1995; Westmacott and Burn, 1997; Robson et al., 1998; Reed et al., 1999; Lins and Slack, 1999; Loukas and Quick, 1996, 1999; Cayan et al., 1999; Jain and Lall, 2001; Douglas et al., 2000; Adamowski and Bocci, 2001; Zhang et al., 2001; Cunderlik and Burn, 2002), infiltration data (Schwankl et al., 2000), and surface water quality data (Jayawardena and Lai, 1989; Higashino et al., 1999) as well as for generating synthetic rainfall data in semi-arid regions (Janos et al., 1988), determining water consumption patterns (Maidment and Parzen, 1984), detecting trends in evapotranspiration and wind speed (Hameed et al., 1997; Raghuwanshi and Wallender, 1997), and for detecting climate change or variability (Kite, 1989; Khan, 2001).