Kunpeng Wu

Dr. Kunpeng Wu

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 January 2018 in The Cryosphere
Verified
Journal Article
Open access
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KWKunpeng Wu
Kunpeng Wu
SLShiyin Liu
Shiyin Liu
ZJZongli Jiang
Zongli Jiang
JXJunli Xu
Junli Xu
JWJunfeng Wei
Junfeng Wei
WGWanqin Guo
Wanqin Guo
Due to the influence of the Indian monsoon, the Kangri Karpo Mountains in the south-east of the Tibetan Plateau is in the most humid and one of the most important and concentrated regions containing maritime (temperate) glaciers. Glacier mass loss in the Kangri Karpo is an important contributor to global mean sea level rise, and changes run-off distribution, increasing the risk of glacial-lake outburst floods (GLOFs). Because of its inaccessibility and high labour costs, information about the Kangri Karpo glaciers is still limited. Using geodetic methods based on digital elevation models (DEMs) derived from 1980 topographic maps from the Shuttle Radar Topography Mission (SRTM) (2000) and from TerraSAR-X/TanDEM-X (2014), this study has determined glacier elevation changes. Glacier area and length changes between 1980 and 2015 were derived from topographical maps and Landsat TM/ETM+/OLI images. Results show that the Kangri Karpo contained 1166 glaciers with an area of 2048.50 ± 48.65 km2 in 2015. Ice cover diminished by 679.51 ± 59.49 km2 (24.9 ± 2.2 %) or 0.71 ± 0.06 % a−1 from 1980 to 2015, although nine glaciers advanced. A glacierized area of 788.28 km2, derived from DEM differencing, experienced a mean mass loss of 0.46 ± 0.08 m w.e. a−1 from 1980 to 2014. Shrinkage and mass loss accelerated significantly from 2000 to 2015 compared to 1980–2000, consistent with a warming climate.

1 November 2020 in Journal of Hydrology
Verified
Journal Article
Closed access
KWKunpeng Wu
Kunpeng Wu
SLShiyin Liu
Shiyin Liu
YZYu Zhu
Yu Zhu
QLQiao Liu
Qiao Liu
ZJZongli Jiang
Zongli Jiang

27 May 2022 in Journal of Hydrology
Verified
Journal Article
Closed access
MQMiaomiao Qi
Miaomiao Qi
SLShiyin Liu
Shiyin Liu
KWKunpeng Wu
Kunpeng Wu
YZYu Zhu
Yu Zhu
FXFuming Xie
Fuming Xie
XYXiaojun Yao
Xiaojun Yao

1 December 2021 in Science of The Total Environment
Verified
Journal Article
Closed access
YZYu Zhu
Yu Zhu
SLShiyin Liu
Shiyin Liu
YYYing Yi
Ying Yi
FXFuming Xie
Fuming Xie
RGRichard Grünwald
Richard Grünwald
DSDharmaveer Singh
Dharmaveer Singh

16 February 2023 in Earth System Science Data
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Journal Article
Open access
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FXFuming Xie
Fuming Xie
SLShiyin Liu
Shiyin Liu
YGYongpeng Gao
Yongpeng Gao
YZYu Zhu
Yu Zhu
TBTobias Bolch
Tobias Bolch
MSMuhammad Saifullah
Muhammad Saifullah
Multi-temporal glacier inventories provide key information about the glaciers, their characteristics, and changes and are inevitable for glacier modelling and investigating geodetic mass changes. However, to date, no consistent multi-temporal glacier inventory for the whole of the Karakoram exists, negatively affecting the monitoring of spatio-temporal variations in glaciers' geometric parameters and their related applications. We used a semi-automatic method combining automatic segmentation and manual correction and produced a multi-temporal Karakoram glacier inventory (KGI) compiled from Landsat TM/ETM+/OLI (Thematic Mapper, Enhanced Thematic Mapper Plus, and Operational Land Imager) images for the 1990s, 2000s, 2010s, and 2020s. Our assessments using independent multiple digitisation of 37 glaciers show that the KGI is sufficiently accurate, with an overall uncertainty of ±3.68 %. We also performed uncertainty evaluation for the contiguous glacier polygons using a buffer of half a pixel, which resulted in an average mapping uncertainty of ±5.21 %. We calculated more than 20 attributes for each glacier, including coordinates, area, supraglacial debris area, date information, and topographic parameters derived from the ASTER GDEM (Advanced Spaceborne Thermal Emission and Reflection Radiometer global digital elevation model). According to KGI-2020s, approximately 10 500 alpine glaciers (>0.01 km2 each) cover an area of 22 510±828 km2 of which 10.18±0.38 % (2290±84 km2) is covered by supraglacial debris. Over the past 3 decades, the glaciers experienced a loss of clean ice and/or snow area but a gain in supraglacial debris. Supraglacial debris cover has increased by 17.63±1.44 % (343.30±27.95 km2), while non-debris-covered glaciers decreased by 1.56±0.24 % (319.85±49.92 km2). The total glacier area was relatively stable and showed only a slight insignificant increase of 23.45±28.85 km2 (0.10±0.13 %). The glacier area has declined by 3.27±0.24 % in the eastern Karakoram, while the glacier area slightly increased in central (0.65±0.10 %) and western Karakoram (1.26±0.11 %). Supraglacial debris has increased over the whole of Karakoram, especially in areas above 4200 m a.s.l. (above sea level), showing an upward shift. The glacier area changes were characterised by strong spatial heterogeneity, influenced by surging and advancing glaciers. However, due to global warming, the glaciers are on average retreating. This is in particular true for small and debris-free glaciers. The multi-temporal KGI data are available at the National Cryosphere Desert Data Center of China: https://doi.org/10.12072/ncdc.glacier.db2386.2022 (F. Xie et al., 2022).

23 April 2019 in Journal of Glaciology
Verified
Journal Article
Open access
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KWKunpeng Wu
Kunpeng Wu
SLShiyin Liu
Shiyin Liu
ZJZongli Jiang
Zongli Jiang
JXJunli Xu
Junli Xu
JWJunfeng Wei
Junfeng Wei
To obtain information on changes in glacier mass balance in the central Nyainqentanglha Range, a comprehensive study was carried out based on digital-elevation models derived from the 1968 topographic maps, the Shuttle Radar Topography Mission DEM (2000) and TerraSAR-X/TanDEM-X (2013). Glacier area changes between 1968 and 2016 were derived from topographic maps and Landsat OLI images. This showed the area contained 715 glaciers, with an area of 1713.42 ± 51.82 km2, in 2016. Ice cover has been shrinking by 0.68 ± 0.05% a−1since 1968. The glacier area covered by debris accounted for 11.9% of the total and decreased in the SE–NW directions. Using digital elevation model differencing and differential synthetic aperture radar interferometry, a significant mass loss of 0.46 ± 0.10 m w.e. a−1has been recorded since 1968; mass losses accelerated from 0.42 ± 0.20 m w.e. a−1to 0.60 ± 0.20 m w.e. a−1between 1968–2000 and 2000–2013, with thinning noticeably greater on the debris-covered ice than the clean ice. Surface-elevation changes can be influenced by ice cliffs, as well as debris cover and land- or lake-terminating glaciers. Changes showed spatial and temporal heterogeneity and a substantial correlation with climate warming and decreased precipitation.