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Recent geodetic mass balance and extent changes of very small glaciers in the Hulugou Basin, Central Qilian Mountains, China

  • Chunhai XuEmail author
  • Zhongqin Li
  • Feiteng Wang
  • Lin Ha
  • Yousif Elnour Yagoub
  • Shuang Jin
Article
  • 85 Downloads

Abstract

Very small glaciers (\({<}0.5\,\hbox {km}^{2})\) account for more than 70% of the total number of glaciers in the Qilian Mountains. Despite their total area and volume being small, they are important water resources in the Hexi Corridor. While glacier monitoring mostly focuses on medium-sized and large valley glaciers (e.g., Qiyi Glacier and Laohugou Glacier No. 12) in the Qilian Mountains, little is known about very small glacier mass balance in this region. This study presents a geodetic mass balance of six very small glaciers in the Hulugou Basin by comparing Shuttle Radar Topography Mission (SRTM) C-band (2000) and airborne laser scanning (2012) digital elevation models (DEMs). The total glaciers’ area decreased by 23.6% at a rate of \(0.024~\hbox {km}^{2}\) \(\hbox {a}^{-1}\) and the geodetic mass balance was \(-0.68\pm 0.11~\hbox {m}\) water equivalent (m w.e.) \(\hbox {a}^{-1}\) from 2000 to 2012. Shiyi Glacier, as the monitored glacier in the Basin, had lost 10.9% of the surface area at a rate of \(0.005~\hbox {km}^{2}\) \(\hbox {a}^{-1}\) and the geodetic mass balance was \(-0.53\pm 0.11~\hbox {m}\) w.e. \(\hbox {a}^{-1}\) for the period. Climatic variations over the last decade showed a pronounced increase in summer temperatures. The warmer conditions probably explain the glaciers mass loss observed in the Hulugou Basin.

Keywords

Geodetic mass balance ALS point cloud SRTM C-band DEM very small glaciers Hulugou Basin 

Notes

Acknowledgements

This study was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA2006020103), National Natural Science Foundation of China (Nos. 91425303; 41471058; 41721091), the Key Research Program of Frontier Sciences of Chinese Academy of Sciences (No. QYZDB-SSW-SYS024) and the West Light Program for Talent Cultivation of Chinese Academy of Sciences. We are very grateful to USGS (US Geological Survey) for the Landsat images and SRTM C-band DEM and China Meteorological Data Sharing Service System for meteorological data. We also thank the Cold and Arid Regions Sciences Data Center at Lanzhou for the ALS point cloud data.

References

  1. Belkhouche M Y and Buckles B 2011 Iterative tin-based automatic filtering of sparse LiDAR data; Remote Sens. Lett. 2(3) 231–240,  https://doi.org/10.1080/01431161.2010.515266.CrossRefGoogle Scholar
  2. Bolch T, Pieczonka T and Benn D I 2011 Multi-decadal mass loss of glaciers in the Everest area (Nepal Himalaya) derived from stereo imagery; Cryosphere 5 349–358,  https://doi.org/10.5194/tc-5-349-2011.CrossRefGoogle Scholar
  3. Cogley J G 2009 Geodetic and direct mass-balance measurements: Comparison and joint analysis; Ann. Glaciol. 50(50) 96–100,  https://doi.org/10.3189/172756409787769744.CrossRefGoogle Scholar
  4. Cogley J G, Hock R, Rasmussen L A, Arendt A A, Bauder A, Braithwaite R J, Jansson P, Kaser M, Möller G, Nicholson L and Zemp M 2011 Glossary of glacier mass balance and related terms; IHP-VII technical documents in hydrology No. 86, IACS Contribution No. 2, UNESCO-IHP, Paris.Google Scholar
  5. Fang X Y, Li Z Q, Bernd W, Gao S and Chen R S 2015 Physical energy-balance and statistical glacier melting models comparison and testing for Shiyi Glacier, Heihe River Basin, Qilian Mountains, China; J. Glaciol. Geocryol. 37(2) 336–350 (in Chinese).Google Scholar
  6. Fischer A 2011 Comparison of direct and geodetic mass balances on a multi-annual time scale; Cryosphere 5 107–124,  https://doi.org/10.5194/tc-5-107-2011.CrossRefGoogle Scholar
  7. Gardelle J, Berthier E and Arnaud Y 2012 Impact of resolution and radar penetration on glacier elevation changes computed from DEM differencing; J. Glaciol. 58(208) 419–422,  https://doi.org/10.3189/2012JoG11J175.CrossRefGoogle Scholar
  8. Gardelle J, Berthier E, Arnaud Y and Kääb A 2013 Region-wide glacier mass balances over the Pamir–Karakoram–Himalaya during 1999–2011; Cryosphere 7 1263–1286,  https://doi.org/10.5194/tc-7-1236-2013.CrossRefGoogle Scholar
  9. Hall D K, Bayer K and Schfner W 2003 Consideration of the errors inherent in mapping historical glacier positions in Austria from ground and space 1893–2001; Remote Sens. Environ. 86 566–577,  https://doi.org/10.1016/S0034-4257(03)00134-2.CrossRefGoogle Scholar
  10. Hartzell P J, Gadomski P J, Glennie C L, Finnegan D C and Deems J S 2015 Rigorous error propagation for terrestrial laser scanning with application to snow volume uncertainty; J. Glaciol. 61(230) 1147–1158,  https://doi.org/10.3189/2015JoG15J031.CrossRefGoogle Scholar
  11. Helfricht K, Kuhn M, Keuschnig M and Heilig A 2014 LiDAR snow cover studies on glaciers in the Ötztal Alps (Austria): Comparison with snow depths calculated from GPR measurements; Cryosphere 8 41–57,  https://doi.org/10.5194/tc-8-41-2014.CrossRefGoogle Scholar
  12. Huss M 2013 Density assumptions for converting geodetic glacier volume change to mass change; Cryosphere 7 877–887,  https://doi.org/10.5194/tc-7-877-2013.CrossRefGoogle Scholar
  13. Huss M and Fischer M 2016 Sensitivity of very small glaciers in the Swiss Alps to future climate change; Front. Earth Sci. 4(34) 1–17,  https://doi.org/10.3389/feart.2016.00034.CrossRefGoogle Scholar
  14. Intergovernmental Panel on Climate Change (IPCC) 2013 Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change; Cambridge University Press, Cambridge, UK and New York, USA, 1535p.Google Scholar
  15. Joerg P, Morsdorf F and Zemp M 2012 Uncertainty assessment of multi-temporal airborne laser scanning data: A case study at an Alpine glacier; Remote Sens. Environ. 127 118–129,  https://doi.org/10.1016/j.rse.2012.08.012.CrossRefGoogle Scholar
  16. Kobler A, Pfeifer N, Ogrinc P, Todorovski L, Ostir K and Dzeroski S 2007 Repetitive interpolation: A robust algorithm for DTM generation from Aerial Laser Scanner Data in forested terrain; Remote Sens. Environ. 108 9–23,  https://doi.org/10.1016/j.rse.2006.10.013.CrossRefGoogle Scholar
  17. Koblet T, Gärtner-Roer I, Zemp M, Jansson P, Thee P, Haeberli W and Holmlund P 2010 Reanalysis of multi-temporal aerial images of Storglaciären, Sweden (1959–99) – part 1: Determination of length, area, and volume changes; Cryosphere 4 333–343,  https://doi.org/10.5194/tc-4-333-2010.CrossRefGoogle Scholar
  18. Li X, Liu S M, Ma M G, Xiao Q, Liu Q H, Jin R, Che T, Wang W Z, Qi Y, Li H Y, Zhu G F, Guo J W, Ran Y H, Wen J G and Wang S G 2012 HiWATER: An integrated remote sensing experiment on hydrological and ecological processes in the Heihe River Basin; Adv. Earth Sci. 27(5) 481–498 (in Chinese).Google Scholar
  19. Liu S Y, Yao X J, Guo W Q, Xu J L, Shuangguan D H, Wei J F, Bao W J and Wu L Z 2015 The contemporary glaciers in China based on the Second Chinese Glacier Inventory; Acta Geogr. Sin. 70(1) 3–16 (in Chinese).Google Scholar
  20. Muskett R R, Lingle C S, Tangborn W V and Rabus B T 2003 Multidecadal elevation changes on Bagley Ice Valley and Malaspina Glacier, Alaska; Geophys. Res. Lett. 30(16) 1857,  https://doi.org/10.1029/2003GL017707.CrossRefGoogle Scholar
  21. Nuth C and Kääb A 2011 Co-registration and bias corrections of satellite elevation data sets for quantifying glacier thickness change; Cryosphere 5 271–290,  https://doi.org/10.5194/tc-5-271-2011.CrossRefGoogle Scholar
  22. Oerlemans J 2005 Extracting a climate signal from 169 glacier records; Science 308(5722) 675–677,  https://doi.org/10.1126/science.1107046.CrossRefGoogle Scholar
  23. Piermattei L, Carturan L and Guarnieri A 2015 Use of terrestrial photogrammetry based on structure-from-motion for mass-balance estimation of a small glacier in the Italian Alps; Earth Surf. Process. Land. 40(13) 1791–1802,  https://doi.org/10.1002/esp.3756.CrossRefGoogle Scholar
  24. Pu J C, Yao T D, Duan K Q, Sakai A, Fujita K and Matsuda Y 2005 Mass balance of the Qiyi glacier in the Qilian Mountains: A new observation; J. Glaciol. Geocryol. 27(2) 199–204 (in Chinese).Google Scholar
  25. Rabus B, Eineder M and Roth A 2003 The shuttle radar topography mission – A new class of digital elevation models acquired by spaceborne radar. J. Photo-gramm. 57(4) 241–262,  https://doi.org/10.1016/S0924-2716(02)00124-7.CrossRefGoogle Scholar
  26. Ruiz L, Berthier E, Viale M, Pitte P and Masiokas M H 2017 Recent geodetic mass balance of Monte Tronador Glaciers, northern Patagonian Andes; Cryosphere 11 619–634,  https://doi.org/10.5194/tc-11-619-2017.CrossRefGoogle Scholar
  27. Shangguan D H, Liu S Y, Ding Y J, Zhang Y S, Li J, Li X Y and Wu Z 2010 Changes in the elevation and extent of two glaciers along the Yanglonghe River, Qilian Shan, China; J. Glaciol56(196) 309–317,  https://doi.org/10.3189/002214310791968566.CrossRefGoogle Scholar
  28. Silverio W and Jaquet J M 2005 Glacial cover mapping (1987–1996) of the Cordillera Blanca (Peru) using satellite imagery; Remote Sens. Environ. 95(3) 342–350,  https://doi.org/10.1016/j.rse.2004.12.012.CrossRefGoogle Scholar
  29. Sun M P, Liu S Y, Yao X J, Guo W Q and Xu J L 2015 Glacier changes in the Qilian mountains in the past half century: Based on the revised First and Second Chinese Glacier Inventory; Acta Geogr. Sin. 70(9) 1402–1414 (in Chinese).Google Scholar
  30. Thibert E, Blanc R, Vincent C and Lane S N 2008 Instruments and methods glaciological and volumetric mass-balance measurements: Error analysis over 51 yr for Glacier de Sarennes, French Alps; J. Glaciol. 54(186) 522–532,  https://doi.org/10.3189/002214308785837093.CrossRefGoogle Scholar
  31. Wang Y Z 2013 A study of glacier volume changes in Qilian Mountains over the last decade; Master thesis, University of Chinese Academy of Sciences, Beijing, pp. 22–24 (in Chinese).Google Scholar
  32. Wang P Y, Li Z Q, Gao W Y, Yan D H, Bai J Z, Li K M and Wang L 2011 Glacier changes in the Heihe River Basin over the past 50 years in the context of climate change; Resour. Sci. 33(3) 399–407 (in Chinese).Google Scholar
  33. Wehr A and Lohr U 1999 Airborne laser scanning – An introduction and overview; ISPRS J. Photogramm. Remote Sens. 54 68–82,  https://doi.org/10.1016/S0924-2716(99)00011-8.CrossRefGoogle Scholar
  34. WGMS 2017 Global glacier change bulletin No. 2 (2014–2015); ICSU(WDS)/IUGG(IACS)/UNEP/UNESCO/WMO, World Glacier Monitoring Service, Zurich, Switzerland, 244p,  https://doi.org/10.5904/wgms-fog-2017-10.
  35. Zemp M, Thibert E, Huss M, Stumm D, Rolstad Denby C, Nuth C, Nussbaumer S U, Moholdt G, Mercer A, Mayer C, Joerg P C, Jansson P, Hynek B, Fischer A, Escher-Vetter H, Elvehøy H and Andreassen L M 2013 Reanalysing glacier mass-balance measurement series; Cryosphere 7 1227–1245,  https://doi.org/10.5194/tc-7-1227-2013.CrossRefGoogle Scholar
  36. Zemp M, Frey H, Gärtner-Roer I, Nussbaumer S U, Hoelzle M, Paul F, Haeberli W, Denzinger F, Ahlstrøm A P, Anderson B, Bajracharya S, Baroni C, Braun L N, Cáceres B E, Casassa G, Cobos G, Dávila L R, Delgado Granados H, Demuth M N, Espizua L, Fischer A, Fujita K, Gadek B, Ghazanfar A, Hagen J O, Holmlund P, Karimi N, Li Z Q, Pelto M, Pitte P, Popovnin V V, Portocarrero CA, Prinz R, Sangewar C V, Severskiy I, Sigurdsson O, Soruco A, Usubaliev R and Vincent C 2015 Historically unprecedented global glacier decline in the early 21st century; J. Glaciol61(228) 745–762,  https://doi.org/10.3189/2015JoG15J017.CrossRefGoogle Scholar

Copyright information

© Indian Academy of Sciences 2019

Authors and Affiliations

  • Chunhai Xu
    • 1
    • 2
    Email author
  • Zhongqin Li
    • 1
  • Feiteng Wang
    • 1
  • Lin Ha
    • 3
  • Yousif Elnour Yagoub
    • 1
    • 4
  • Shuang Jin
    • 1
  1. 1.State Key Laboratory of Cryospheric Science/Tien Shan Glaciological Station, Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhouChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.School of Geographical SciencesSouthwestern UniversityChongqingChina
  4. 4.Department of Forest Protection and Conservation, Faculty of ForestryUniversity of KhartoumShambatSudan

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