PROBABILITY-DISTRIBUTION
; STORM PROPERTIES
; RIVER
; ENSEMBLE
; SYSTEMS
; SCALES
WOS学科分类:
Water Resources
WOS研究方向:
Water Resources
英文摘要:
Hydrological extremes in the water cycle can significantly affect surface water engineering design, and represents the high-impact response of surface water and groundwater systems to climate change. Statistical analysis of these extreme events provides a convenient way to interpret the nature of, and interaction between, components of the water cycle. This study applies three probability density functions (PDFs), Gumbel, stable, and stretched Gaussian distributions, to capture the distribution of extremes and the full-time series of storm properties (storm duration, intensity, total precipitation, and inter-storm period), stream discharge, lake stage, and groundwater head values observed in the Lake Tuscaloosa watershed, Alabama, USA. To quantify the potentially non-stationary statistics of hydrological extremes, the time-scale local Hurst exponent (TSLHE) was also calculated for the time series data recording both the surface and subsurface hydrological processes. First, results showed that storm duration was most closely related to groundwater recharge compared to the other storm properties, while intensity also had a close relationship with recharge. These relationships were likely due to the effects of oversaturation and overland flow in extreme total precipitation storms. Second, the surface water and groundwater series were persistent according to the TSLHE values, because they were relatively slow evolving systems, while storm properties were anti-persistent since they were rapidly evolving in time. Third, the stretched Gaussian distribution was the most effective PDF to capture the distribution of surface and subsurface hydrological extremes, since this distribution can capture the broad transition from a Gaussian distribution to a power-law one.
1.Univ Alabama, Dept Geol Sci, Tuscaloosa, AL 35487 USA 2.Hohai Univ, Coll Mech & Mat, Nanjing 210098, Jiangsu, Peoples R China 3.Hohai Univ, State Key Lab Hydrol Water Resources & Hydraul En, Nanjing 210098, Jiangsu, Peoples R China 4.Southern Univ Sci & Technol, Guangdong Prov Key Lab Soil & Groundwater Pollut, Sch Environm Sci & Engn, Shenzhen 518055, Guangdong, Peoples R China 5.Desert Res Inst, Div Hydrol Sci, Las Vegas, NV 89119 USA
Recommended Citation:
Dawley, Shawn,Zhang, Yong,Liu, Xiaoting,et al. Statistical Analysis of Extreme Events in Precipitation, Stream Discharge, and Groundwater Head Fluctuation: Distribution, Memory, and Correlation[J]. WATER,2019-01-01,11(4)