Composite Drought Indices of Monotonic Behaviour for Assessing Potential Impact of Climate Change to a Water Resources System

Hung Wei Tseng, Thian Yew Gan, Pao Shan Yu

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this study, innovative drought indices are developed to accurately quantify the characteristics of drought events and their possible impacts to the water resources system of the Tsengwen Reservoir of Taiwan. We applied a monotonic test to three fundamental single drought indices, namely reliability, vulnerability and resilience, to demonstrate that indices showing non-monotonic behaviour can potentially give misleading information regarding the effects of drought to water resources systems. We further tested two newly proposed single drought indices, Vulsystem and Resweighted, to the study site, of which Vulsystem showed monotonic behaviour but Resweighted still behaved non-monotonically, even though in a suppressed manner. Next, we proposed and tested three composite drought indices, sustainability index (SI), drought risk index (DRI) and the water shortage index (WSI), of which only the WSI behaved monotonically. As a result, WSI was applied to investigate the potential impact of climate change to the future drought risk of the study site. On the basis of WSI values derived from runoffs simulated by the modified HBV and a reservoir operation (water balance) model driven with 18 sets of climate changes scenarios of IPCC (2007) statistically downscaled using the MarkSim GCM model, it seems that there is a 20 % chance that climate change impact could lead to more severe droughts in the study site. However, under the combined impact of climate change and the effect of sedimentation to the Tsengwen Reservoir, which could decrease its storage capacity by about 12 % (i.e., s = 0.88), it seems more severe drought impacts will increase to 2/3 of the 18 test cases. Lastly, a direct relationship was developed between WSI and the multifractal strength, which implies that runoff data with a stronger multifractal strength could lead to more severe droughts and vice versa.

Original languageEnglish
Pages (from-to)2341-2359
Number of pages19
JournalWater Resources Management
Volume29
Issue number7
DOIs
Publication statusPublished - 2015 May 1

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology

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