Published April 2021 | Version v1
Journal article

Assessing glacier retreat and its impact on water resources in a headwater of Yangtze River based on CMIP6 projections

  • 1. School of Geographical Sciences, East China Normal University, Shanghai (China)
  • 2. Key Laboratory of Geographic Information Science (Ministry of Education of China), East China Normal University, Shanghai (China)
  • 3. Fluid Dynamics and Solid Mechanics Group, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)
  • 4. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049 (China)
  • 5. State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-environment and Resources, Chinese Academy of Sciences, Lanzhou 730000 (China)

Description

Highlights: • A "climate-glacier-streamflow" modeling framework was developed and tested. • Glacier volume will likely decrease by 74–92% in 2100 under CMIP6 climate projections. • Glacier runoff peak (tipping point) would occur around the period 2060–2085. Glacier retreat caused by global warming alters the hydrological regime and poses far-reaching challenges to water resources and nature conservation of the headwater of Yangtze River, and its vast downstream regions with dense population. However, there is still lack of a robust modeling framework of the "climate-glacier-streamflow" in this water tower region, to project the future changes of glacier mass balance, glacier geometry, and the consequent impacts on runoff. Moreover, it is imperative to use the state-of-the-art sixth phase Coupled Model Intercomparison Project (CMIP6) to assess glacio-hydrology variations in future. In this study, we coupled a glacio-hydrological model (FLEXG) with a glacier retreat method (Δh-parameterization) to simulate glacio-hydrological processes in the Dongkemadi Glacier (over 5155 m.a.s.l), which has the longest continuous glacio-hydrology observation on the headwater of Yangtze River. The FLEXG-Δh model was forced with in-situ observed meteorological data, radar ice thickness, remote sensing topography and land cover data, and validated by measured runoff. The results showed that the model was capable to simulate hydrological processes in this glacierized basin, with Kling-Gupta efficiency (IKGE) of daily runoff simulation 0.88 in calibration and 0.70 in validation. Then, forcing by the bias-corrected meteorological forcing from the eight latest CMIP6 Earth system models under two climate scenarios (RCP2.6 and RCP8.5), we assessed the impact of future climate change on glacier response and its hydrological effects. The results showed that, to the end of simulation in 2100, the volume of the Dongkemadi Glacier would continuously retreat. For the RCP2.6 and RCP8.5 scenarios, the glacier volume will decrease by 8.7 × 108 m3 (74%) and 10.8 × 108 m3 (92%) respectively in 2100. The glacier runoff will increase and reach to peak water around 2060 to 2085, after this tipping point water resources will likely decrease.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2020.142774

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2020.142774;
PII
S0048969720363038;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
765
Journal Page Range
vp.
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54061539
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
CLIMATES; COMPUTERIZED SIMULATION; ENVIRONMENTAL PROTECTION; GEOMETRY; GLACIERS; GREENHOUSE EFFECT; HYDROLOGY; METEOROLOGY; REMOTE SENSING; RUNOFF; YANGTZE RIVER
Descriptors DEC
CLIMATIC CHANGE; ENVIRONMENTAL TRANSPORT; MASS TRANSFER; MATHEMATICS; RIVERS; SIMULATION; SURFACE WATERS

Optional Information

Copyright
Copyright (c) 2020 Elsevier B.V. All rights reserved.