Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050

Shi, Ping‐Ping; Duan, Keqin; Nicholson, Kéith; Han, Bangshuai; Neumann, Klaus; Yang, Junhua

doi:10.1080/15230430.2020.1743157

Cited by 6 publications

(4 citation statements)

References 73 publications

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“…There is a multiple regression relationship between temperature in the study area and the four meteorological stations (Gao et al 2012). Precipitation in the study area is closely related to the precipitation at Ando and Naqu stations, and the inverse distance weight method was used to fit the results (Gao et al 2012; Shi et al 2020).…”

Section: Study Site and Datamentioning

confidence: 99%

Subglacial Meltwater Recharge in the Dongkemadi River Basin, Yangtze River Source Region

Kuang

Chen

et al. 2022

Groundwater

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Glaciers on the Tibetan Plateau play an important role in the local hydrological cycle. However, there are only few studies on groundwater in the alpine basins in the Tibetan Plateau which considered the effects of glaciers. Glaciers are extensively distributed in the Dongkemadi River Basin, which is a representative alpine basin in the Yangtze River source region. This study focuses on building a numerical groundwater flow model with glaciations using HydroGeoSphere (HGS) to simulate subglacial meltwater recharge to groundwater in the Dongkemadi River Basin in response to future climate changes. Effects of hydraulic conductivity, precipitation, and temperature on subglacial meltwater recharge to groundwater were discussed. Glacier changes in the future 50 years were predicted under different climate change scenarios. Results show that: (1) the average thickness of the glacier will change significantly; (2) the simulated rate of annual mean subglacial meltwater recharge to groundwater is 4.58 mm, which accounts for 6.33% of total groundwater recharge; and (3) hydraulic conductivity has the largest influence on subglacial meltwater recharge to groundwater, followed by temperature and precipitation. Results of this study are also important to sustainable water resource usage in the Yangtze River source region.

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Section: Study Site and Datamentioning

confidence: 99%

Subglacial Meltwater Recharge in the Dongkemadi River Basin, Yangtze River Source Region

Kuang

Chen

et al. 2022

Groundwater

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“…Remote sensing technology has a high degree of uncertainty and low spatial resolution, and cannot explain the processes and mechanisms behind the response of glaciers to climate change (Paul et al, 2017;Li et al, 2021;Zhao et al, 2022). Glaciation models are a useful tool for reconstructing and predicting the GMB in regions where long-term field measurements are lacking (Gao et al, 2012;Yang et al, 2016;Azam et al, 2019;Shi et al, 2020). Yang et al (2016) used an energy balance model to reconstruct the GMB history of Parlung No.94 Glacier in the southeastern TP and explained it using macroscale atmospheric variables.…”

Section: Introductionmentioning

confidence: 99%

“…Yang et al (2016) used an energy balance model to reconstruct the GMB history of Parlung No.94 Glacier in the southeastern TP and explained it using macroscale atmospheric variables. Using a temperature index-based model, Shi et al (2020) reconstructed and projected the GMB of the Dongkemadi Ice Field under different climate scenarios. However, there is a lack of research on changes in GMB and runoff components in response to climate change in the southeastern TP at a basin scale.…”

Section: Introductionmentioning

confidence: 99%

Reconstructing runoff components and glacier mass balance with climate change: Niyang river basin, southeastern Tibetan plateau

Kuang

et al. 2023

Front. Earth Sci.

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The southeastern part of the Tibetan Plateau (TP), one of the regions with the largest glacier distribution on the plateau, has been experiencing a significant loss in glacier mass balance (GMB) in recent decades due to climate warming. In this study, we used the Spatial Processes in Hydrology (SPHY) model and satellite data from LANDSAT to reconstruct the runoff components and glacier mass balance in the Niyang River basin (NRB). The measured river discharge data in the basin during 2000–2008 were used for model calibration and validation. Then, the validated model was applied to reconstruct the runoff components and GMB in the Niyang River basin for the period 1969–2013. Results showed that rainfall runoff (67%) was the dominant contributor to total runoff, followed by snowmelt runoff (14%), glacier melt runoff (10%), and baseflow (9%). The NRB experienced a severe loss in GMB, with a mean value of −1.26 m w. e./a (corresponding to a cumulative glacier mass loss of −56.72 m w. e.) during 1969–2013. During periods Ⅰ (1969–1983), Ⅱ (1984–1998), and Ⅲ (1999–2013) glacier mass loss was simulated at rates of −1.27 m w. e./a, −1.18 m w. e./a, and −1.33 m w. e./a, respectively. The annual loss of glacier mass in the northern region of the NRB (−1.43 m w. e./a) was significantly greater than that of the southern region (−0.53 m w. e./a) from 1969 to 2013, largely due to temperature variations, especially in summer months. These findings enhance our understanding of how different hydrological processes respond to climate change and provide a potential method to study runoff components and GMB in other glacierized catchments worldwide.

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“…The models also predict a high glacier mass loss (commonly ~60–>90%) for many mountain blocks worldwide by 2100 under the RCP8.5 emissions scenario. A similar approach with similar results was also used by Shi et al (2020) for the Tibetan Plateau.…”

Section: Resultsmentioning

confidence: 99%

Scientists’ warning of the impacts of climate change on mountains

Knight¹

2022

PeerJ

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Mountains are highly diverse in areal extent, geological and climatic context, ecosystems and human activity. As such, mountain environments worldwide are particularly sensitive to the effects of anthropogenic climate change (global warming) as a result of their unique heat balance properties and the presence of climatically-sensitive snow, ice, permafrost and ecosystems. Consequently, mountain systems—in particular cryospheric ones—are currently undergoing unprecedented changes in the Anthropocene. This study identifies and discusses four of the major properties of mountains upon which anthropogenic climate change can impact, and indeed is already doing so. These properties are: the changing mountain cryosphere of glaciers and permafrost; mountain hazards and risk; mountain ecosystems and their services; and mountain communities and infrastructure. It is notable that changes in these different mountain properties do not follow a predictable trajectory of evolution in response to anthropogenic climate change. This demonstrates that different elements of mountain systems exhibit different sensitivities to forcing. The interconnections between these different properties highlight that mountains should be considered as integrated biophysical systems, of which human activity is part. Interrelationships between these mountain properties are discussed through a model of mountain socio-biophysical systems, which provides a framework for examining climate impacts and vulnerabilities. Managing the risks associated with ongoing climate change in mountains requires an integrated approach to climate change impacts monitoring and management.

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Modeling past and future variation of glaciers in the Dongkemadi Ice Field on central Tibetan Plateau from 1989 to 2050

Cited by 6 publications

References 73 publications

Subglacial Meltwater Recharge in the Dongkemadi River Basin, Yangtze River Source Region

Subglacial Meltwater Recharge in the Dongkemadi River Basin, Yangtze River Source Region

Reconstructing runoff components and glacier mass balance with climate change: Niyang river basin, southeastern Tibetan plateau

Scientists’ warning of the impacts of climate change on mountains

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