Impacts of 1.5°C and 2.0°C Global Warming on Runoff of Three Inland Rivers in the Hexi Corridor, Northwest China

Yong Wang,Yujie Wang,Hongmei Xu

doi:10.1007/s13351-020-9152-4

Abstract

Basin-scale projections of river runoff at different warming levels provide useful information for climate change adaptation. In this study, we investigated changes in the projected climate and simulated runoff under 1.5°C and 2.0°C global warming of three inland rivers in the Hexi Corridor: the Shiyang River (SYR), the Heihe River (HHR), and the Shule River (SLR). The change in climate was projected based on five global climate models (GCMs) under three representative concentration pathways (RCPs), and the change in runoff was simulated based on the Soil and Water Assessment Tool (SWAT) hydrological model. Furthermore, the uncertainties in projected climate change and simulated runoff constrained by the GCMs and RCPs were quantified. The results indicate that, compared with the baseline period (1976–2005), there is a 1.42–1.54°C increase in annual air temperature and 4%–12% increase in annual mean precipitation in the three river basins under 1.5°C global warming, while there is a 2.09–2.36°C increase in annual air temperature and 5%–11% increase in annual mean precipitation under 2.0°C global warming. The simulated annual runoff of the SYR decreases by 4% under 1.5°C global warming, that of the HHR decreases by 3% and 4%, while that of the SLR increases considerably by 10% and 11% under 1.5°C and 2.0°C global warming, respectively. The additional 0.5°C global warming results in an annual air temperature increase of 0.67–0.82°C, a change of −1% to 1% in annual mean precipitation, and a change of −1% to 5% in simulated runoff. The simulated annual runoff has greater uncertainty. The simulations indicate substantial and consistent warming in autumn and winter in the three basins, relatively drier summer and autumn in the SYR and HHR basins, and a relatively drier autumn in the SLR basin. The simulated monthly runoff shows more complex changes with large uncertainties constrained mainly by the GCMs.

Highlights

To avoid dangerous climate change, the Paris Agreement proposed limiting the global temperature increase to below 2.0°C relative to preindustrial levels, with the aim of pursuing efforts to limit this increase to below 1.5°C for a more sustainable future (UNFCCC, 2015)
We have focused on the uncertainties constrained by global climate models (GCMs) and representative concentration pathways (RCPs) scenarios, and used five GCMs under three RCPs to quantify the uncertainties in climate change projection and runoff simulation
Under 1.5°C and 2.0°C global warming, all three inland river basins of the Hexi Corridor examined in the present study are projected to be warmer and wetter compared with the baseline period of 1976–2005

Summary

Introduction

To avoid dangerous climate change, the Paris Agreement proposed limiting the global temperature increase to below 2.0°C relative to preindustrial levels, with the aim of pursuing efforts to limit this increase to below 1.5°C for a more sustainable future (UNFCCC, 2015). The global mean temperature (GMT) has risen by 1.0°C above preindustrial levels due to human activities, and is projected to reach 1.5°C between 2030 and 2052 (IPCC, 2018). Global warming has resulted in alterations to the hydrological cycle, which has consequences for river flow regimes (IPCC, 2014; Betts et al, 2018). A large part of the observed trend in streamflow might result from climate variations, anthropogenic climate change, and human activities, and the projected change in runoff. M. Xu at 1.5°C and 2.0°C global warming will be regionally dependent (Döll et al, 2018; Zhai et al, 2018)

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