The Development of a Nonstationary Standardised Streamflow Index Using Climate and Reservoir Indices as Covariates

Menghao Wang, Shanhu Jiang (), Liliang Ren, Chong-Yu Xu, Linyong Wei, Hao Cui, Fei Yuan, Yi Liu and Xiaoli Yang
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Menghao Wang: Hohai University
Shanhu Jiang: Hohai University
Liliang Ren: Hohai University
Chong-Yu Xu: University of Oslo
Linyong Wei: Hohai University
Hao Cui: Hohai University
Fei Yuan: Hohai University
Yi Liu: Hohai University
Xiaoli Yang: Hohai University

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 4, No 14, 1377-1392

Abstract: Abstract Under current global change, the driving force of evolution of drought has gradually transitioned from a single natural factor to a combination of natural and anthropogenic factors. Therefore, widely used standardised drought indices based on assumption of stationarity are challenged and may not accurately assess characteristics of drought processes. In this study, a nonstationary standardised streamflow index (NSSI) that incorporates climate and reservoir indices as external covariates was developed to access nonstationary hydrological drought. The first step of the proposed approach is to apply methods of trend and change point analysis to assess the nonstationarity of streamflow series to determine type of streamflow regime, that is, the natural and altered regime. Then, different nonstationary models were constructed to calculate the NSSI by selecting climate indices as covariates for streamflow series with natural regime, and climate and reservoir indices as covariate for streamflow series with altered regime. Four stations in the upper reaches of the Huaihe River basin, China, were selected to examine the performance of the proposed NSSI. The results indicated that Dapoling (DPL), Changtaiguan (CTG), and Xixian (XX) stations had natural streamflow regimes, while the Nanwan (NW) station had an altered regime. The global deviances of the optimal nonstationary models were 17 (2.2%), 18 (2.9%), 26 (4.0%), and 22 (3.5%) less than those of stationary models for DPL, CTG, NW, and XX stations, respectively. Especially, for the NW station influenced by reservoir regulations, the frequency of slight drought and moderate drought of NSSI was 12.8% lower than and 13.1% greater than those of SSI, respectively. Overall, the NSSI that incorporates the influence of climate variability and reservoir regulations provided more reliable assessment of hydrological drought than the traditional SSI.

Keywords: Hydrological drought; Nonstationary standardised streamflow index; Climate variability; Reservoir regulation (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03088-2

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