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Progress in remote sensing monitoring of lake area， water level， and volume changes on the Tibetan Plateau

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

  • Email：guoqing.zhang@itpcas.ac.cn
  • Introduction：张国庆，1978年生，男，研究员，研究方向为青藏高原湖泊遥感。E-mail： guoqing.zhang@itpcas.ac.cn
ZHANG Guoqing1,  
  • Affiliation：

    State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WANG Mengmeng12,  
  • Affiliation：

    State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

ZHOU Tao12,  
  • Affiliation：

    State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China

    University of Chinese Academy of Sciences, Beijing 100049, China

CHEN Wenfeng12

resumen

Lakes are very sensitive to the impacts of climate change and human activities. The lakes over the Tibetan Plateau (TP) are numerous and extensively distributed; they are an important part of the Asian water towers. Understanding the interactions of the Earth system’s circles and the mechanism of environmental changes on the TP requires less disturbance from human activities. What is the response of TP’s lakes to climate change as sensitive indicators in the context of rapid global warming? Based on the lake area mapping with multispectral images, lake water level changes from satellite altimetry data, and lake water volume changes with digital elevation model. This study synthesizes the research progress of area, level, and water volume changes of lakes (larger than 1 km2) on the TP in the past nearly 50 years. The main conclusions are as follows: (1) the total number of lakes on the TP increased from 1080 in the 1970s to 1424 in 2018 (+32%), the total lake area expanded from 40,000 km2 to 50,000 km2 (+25%), the average water level of lakes increased by approximately 4 m, and the lake water storage increased by nearly 170 billion tons. (2) The changes in lake area, water level, and water volume decreased slightly from the 1970s to 1995, and then showed a rapid but nonlinear increase. The lake area, water level, and volume increased in the north-central plateau but decreased in the south. (3) A quantitative lake water balance based on multisource remote sensing data reveals that increased precipitation is the main driver of lake expansion, followed by glacier ablation contribution. Several scientific frontiers facing the challenge are also summarized as follows: (1) quantitative evaluation of the causes of individual lake change. At present, a quantitative study on the causes of lake change indicates the contribution of glacial mass loss to the increase in lake water volume, and precipitation, evaporation, and permafrost underground ice ablation that contribute to the increase in lake water. New driving data sets should be developed and hydrological models from the watershed scale should be further combined to estimate lake water balance. (2) Driving mechanisms of lake changes. The driving mechanisms of lake changes on the TP are currently analyzed mainly to enhance precipitation on the plateau. In the future, climate dynamics theory and hydrological models should be combined to further improve understanding of the driving mechanisms of spatial and temporal differences between the climate system and the cryosphere affecting lake changes on the TP. (3) New satellite remote sensing technology should be combined to understand the past, present, and future lake evolution on the TP. Remote sensing, as an indispensable modern technical means of air-sky-earth, plays a greater role with the implementation of the Second TP Scientific Expedition and Research plan on the TP, and more new satellites are launched one after another to improve understanding of the evolution pattern and change mechanism of lakes on the TP.

palabra clave

lake;remote sensing;area;level;volume;Tibetan Plateau

References

  1. 1.
    Alcântara E, Barbosa C, Stech J, Novo E and Shimabukuro Y. 2009. Improving the spectral unmixing algorithm to map water turbidity Distributions. Environmental Modelling and Software, 24(9): 1051-1061
  2. 2.
    Biskop S, Maussion F, Krause P and Fink M. 2016. Differences in the water-balance components of four lakes in the southern-central Tibetan Plateau. Hydrology and Earth System Sciences, 20(1): 209-225
  3. 3.
    Brun F, Treichler D, Shean D and Immerzeel W W. 2020. Limited contribution of glacier mass loss to the recent increase in Tibetan Plateau lake volume. Frontiers in Earth Science, 8: 582060
  4. 4.
    Cooley S W, Ryan J C and Smith L C. 2021. Human alteration of global surface water storage variability. Nature, 591(7848): 78-81
  5. 5.
    Crétaux J F, Abarca-Del-Río R, Bergé-Nguyen M, Arsen A, Drolon V, Clos G and Maisongrande P. 2016. Lake volume monitoring from space. Surveys in Geophysics, 37(2): 269-305
  6. 6.
    Crétaux J F, Arsen A, Calmant S, Kouraev A, Vuglinski V, Bergé-Nguyen M, Gennero M C, Nino F, Abarca Del Rio R, Cazenave A and Maisongrande P. 2011. SOLS: a lake database to monitor in the Near Real Time water level and storage variations from remote sensing data. Advances in Space Research, 47(9): 1497-1507
  7. 7.
    Feyisa G L, Meilby H, Fensholt R and Proud S R. 2014. Automated Water Extraction Index: a new technique for surface water mapping using Landsat imagery. Remote Sensing of Environment, 140: 23-35
  8. 8.
    Höhle J and Höhle M. 2009. Accuracy assessment of digital elevation models by means of robust statistical methods. ISPRS Journal of Photogrammetry and Remote Sensing, 64(4): 398-406
  9. 9.
    Jain S K, Singh R D, Jain M K and Lohani A K. 2005. Delineation of flood-prone areas using remote sensing techniques. Water Resources Management, 19(4): 333-347
  10. 10.
    Ji L, Zhang L and Wylie B. 2009. Analysis of dynamic thresholds for the normalized difference water index. Photogrammetric Engineering and Remote Sensing, 75(11): 1307-1317
  11. 11.
    Ji L Y, Gong P, Wang J, Shi J C and Zhu Z L. 2018. Construction of the 500-m resolution daily global surface water change database (2001-2016). Water Resources Research, 54(12): 10270-10292
  12. 12.
    Jiang L G, Nielsen K, Andersen O B and Bauer-Gottwein P. 2017. Monitoring recent lake level variations on the Tibetan Plateau using CryoSat-2 SARIn mode data. Journal of Hydrology, 544: 109-124
  13. 13.
    Lei Y B, Yang K, Wang B, Sheng Y W, Bird B W, Zhang G Q and Tian L D. 2014. Response of inland lake dynamics over the Tibetan Plateau to climate change. Climatic Change, 125(2): 281-290
  14. 14.
    Lei Y B, Yao T D, Yang K, Sheng Y W, Kleinherenbrink M, Yi S, Bird B W, Zhang X W, Zhu L and Zhang G Q. 2017. Lake seasonality across the Tibetan Plateau and their varying relationship with regional mass changes and local hydrology. Geophysical Research Letters, 44(2): 892-900
  15. 15.
    Li B Q, Zhang J Y, Yu Z B, Liang Z M, Chen L and Acharya K. 2017. Climate change driven water budget dynamics of a Tibetan inland lake. Global and Planetary Change, 150: 70-80
  16. 16.
    Li J L and Sheng Y W. 2012. An automated scheme for glacial lake dynamics mapping using Landsat imagery and digital elevation models: a case study in the Himalayas. International Journal of Remote Sensing, 33(16): 5194-5213
  17. 17.
    Li J L, Sheng Y W and Luo J C. 2011. Automatic extraction of himalayan glacial lakes with remote sensing. Journal of Remote Sensing, 15(1): 29-43
  18. 18.
    Li W B, Du Z Q, Ling F, Zhou D B, Wang H L, Gui Y M, Sun B Y and Zhang X M. 2013. A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI. Remote Sensing, 5(11): 5530-5549
  19. 19.
    Li X D, Long D, Huang Q, Han P F, Zhao F Y and Wada Y. 2019a. High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000-2017 using multiple altimetric missions and Landsat-derived lake shoreline positions. Earth System Science Data, 11(4): 1603-1627
  20. 20.
    Li X Y, Xu H Y, Sun Y L, Zhang D S and Yang Z P. 2007. Lake-level change and water balance analysis at lake Qinghai, west China during recent decades. Water Resources Management, 21(9): 1505-1516
  21. 21.
    Li Y, Gao H L, Jasinski M F, Zhang S and Stoll J D. 2019b. Deriving high-resolution reservoir bathymetry from ICESat-2 prototype photon-counting Lidar and landsat imagery. IEEE Transactions on Geoscience and Remote Sensing, 57(10): 7883-7893
  22. 22.
    Lira J. 2006. Segmentation and morphology of open water bodies from multispectral images. International Journal of Remote Sensing, 27(18): 4015-4038
  23. 23.
    Liao J J, Xue H and Chen J M. 2020. Monitoring lake level changes on the Tibetan Plateau from 2000 to 2018 using satellite altimetry data. Journal of Remote Sensing (Chinese), 24(12): 1534-1547
  24. 24.
    Liu Y, Chen H P, Zhang G Q, Sun J Q and Wang H J. 2019. The advanced South Asian monsoon onset accelerates lake expansion over the Tibetan Plateau. Science Bulletin, 64(20): 1486-1489
  25. 25.
    Luo J C, Sheng Y W, Shen Z F, Li J L and Gao L J. 2009. High precision automatic extraction of multi-spectral remote sensing water information by step iteration. Journal of Remote Sensing, 13(4): 610-615
  26. 26.
    Ma R H, Duan H T, Hu C M, Feng X Z, Li A N, Ju W M, Jiang J H and Yang G S. 2010. A half-century of changes in China’s lakes: global warming or human influence? Geophysical Research Letters, 37(24): L24106
  27. 27.
    Ma R H, Yang G S, Duan H T, Jiang J H, Wang S M, Feng X Z, Li A N, Kong F X, Xue B, Wu J L and Li S J. 2010. China’s lakes at present: number, area and spatial distribution. Science China Earth Sciences, 54(2): 283-289
  28. 28.
    Markus T, Neumann T, Martino A, Abdalati W, Brunt K, Csatho B, Farrell S, Fricker H, Gardner A, Harding D, Jasinski M, Kwok R, Magruder L, Lubin D, Luthcke S, Morison J, Nelson R, Neuenschwander A, Palm S, Popescu S, Shum C K, Schutz B E, Smith B, Yang Y K and Zwally J. 2017. The Ice, Cloud, and land Elevation Satellite-2 (ICESat-2): science requirements, concept, and implementation. Remote Sensing of Environment, 190: 260-273
  29. 29.
    Otsu N. 1979. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 9(1): 62-66
  30. 30.
    Phan V H, Lindenbergh R and Menenti M. 2012. ICESat derived elevation changes of Tibetan lakes between 2003 and 2009. International Journal of Applied Earth Observation and Geoinformation, 17: 12-22
  31. 31.
    Roy D P, Wulder M A, Loveland T R, Woodcock C E, Allen R G, Anderson M C, Helder D, Irons J R, Johnson D M, Kennedy R, Scambos T A, Schaaf C B, Schott J R, Sheng Y, Vermote E F, Belward A S, Bindschadler R, Cohen W B, Gao F, Hipple J D, Hostert P, Huntington J, Justice C O, Kilic A, Kovalskyy V, Lee Z P, Lymburner L, Masek J G, McCorkel J, Shuai Y, Trezza R, Vogelmann J, Wynne R H and Zhu Z. 2014. Landsat-8: science and product vision for terrestrial global change research. Remote Sensing of Environment, 145: 154-172
  32. 32.
    Song C Q, Huang B and Ke L H. 2013. Modeling and analysis of lake water storage changes on the Tibetan Plateau using multi-mission satellite data. Remote Sensing of Environment, 135: 25-35
  33. 33.
    Song C Q, Huang B, Richards K, Ke L H and Phan V H. 2014. Accelerated lake expansion on the Tibetan Plateau in the 2000s: induced by glacial melting or other processes? Water Resources Research, 50(4): 3170-3186
  34. 34.
    Sun J, Yang K, Guo W D, Wang Y, He J and Lu H. 2020. Why has the Inner Tibetan Plateau become wetter since the mid-1990s? Journal of Climate, 33(19): 8507-8522
  35. 35.
    Wang S M and Dou H S. 1998. Chinese Lakes Inventory. Science Press, Beijing, China (王苏民, 窦鸿身. 1998. 中国湖泊志. 北京: 科学出版社)
  36. 36.
    Wan W, Xiao P F, Feng X Z, Li H, Ma R H, Duan H T and Zhao L M. 2014. Monitoring lake changes of Qinghai-Tibetan Plateau over the past 30 years using satellite remote sensing data. Chinese Science Bulletin, 59(10): 1021-1035
  37. 37.
    Wang W Z, Huang D, Liu J F, Liu H W and Wang H. 2020. Patterns and causes of changes in water level and volume in Tangra Yumco from 1988 to 2018 based on Landsat images and Sentinel-3A synthetic aperture radar. Journal of Lake Sciences, 32(5): 1552-1563
  38. 38.
    Yang K, Ye B S, Zhou D G, Wu B Y, Foken T, Qin J and Zhou Z Y. 2011. Response of hydrological cycle to recent climate changes in the Tibetan Plateau. Climatic Change, 109(3): 517-534
  39. 39.
    Yang R M, Zhu L P, Wang J B, Ju J T, Ma Q F, Turner F and Guo Y. 2017. Spatiotemporal variations in volume of closed lakes on the Tibetan Plateau and their climatic responses from 1976 to 2013. Climatic Change, 140(3/4): 621-633
  40. 40.
    Yang Y H, Liu Y X, Zhou M X, Zhang S Y, Zhan W F, Sun C and Duan Y W. 2015. Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach. Remote Sensing of Environment, 171: 14-32
  41. 41.
    Yao T D, Wu F Y, Ding L, Sun J M, Zhu L P, Piao S L, Deng T, Ni X J, Zheng H B and Ouyang H. 2015. Multispherical interactions and their effects on the Tibetan Plateau's earth system: a review of the recent researches. National Science Review, 2(4): 468-488
  42. 42.
    Yu J Y, Zhang G Q, Yao T D, Xie H J, Zhang H B, Ke C Q and Yao R Z. 2016. Developing daily cloud-free snow composite products from MODIS Terra-Aqua and IMS for the Tibetan Plateau. IEEE Transactions on Geoscience and Remote Sensing, 54(4): 2171-2180
  43. 43.
    Yuan C, Gong P and Bai Y Q. 2020. Performance assessment of ICESat-2 Laser altimeter data for water-level measurement over lakes and reservoirs in China. Remote Sensing, 12(5): 770
  44. 44.
    Zhang G Q, Bolch T, Chen W F and Crétaux J F. 2021. Comprehensive estimation of lake volume changes on the Tibetan Plateau during 1976-2019 and basin-wide glacier contribution. Science of the Total Environment, 772: 145463
  45. 45.
    Zhang G Q, Chen W F and Xie H J. 2019a. Tibetan Plateau’s lake level and volume changes from NASA’s ICESat/ICESat-2 and Landsat missions. Geophysical Research Letters, 46(22): 13107-13118
  46. 46.
    Zhang G Q, Li J L and Zheng G X. 2017a. Lake-area mapping in the Tibetan Plateau: an evaluation of data and methods. International Journal of Remote Sensing, 38(3): 742-772
  47. 47.
    Zhang G Q, Luo W, Chen W F and Zheng G X. 2019b. A robust but variable lake expansion on the Tibetan Plateau. Science Bulletin, 64(18): 1306-1309
  48. 48.
    Zhang G Q, Xie H J, Kang S C, Yi D H and Ackley S F. 2011. Monitoring lake level changes on the Tibetan Plateau using ICESat altimetry data (2003-2009). Remote Sensing of Environment, 115(7): 1733-1742
  49. 49.
    Zhang G Q, Yao T D, Chen W F, Zheng G X, Shum C K, Yang K, Piao S L, Sheng Y W, Yi S, Li J L, O'Reilly C M, Qi S H, Shen S S P, Zhang H B and Jia Y Y. 2019c. Regional differences of lake evolution across China during 1960s–2015 and its natural and anthropogenic causes. Remote Sensing of Environment, 221: 386-404
  50. 50.
    Zhang G Q, Yao T D, Shum C K, Yi S, Yang K, Xie H J, Feng W, Bolch T, Wang L, Behrangi A, Zhang H B, Wang W C, Xiang Y and Yu J Y. 2017b. Lake volume and groundwater storage variations in Tibetan Plateau’s endorheic basin. Geophysical Research Letters, 44(11): 5550-5560
  51. 51.
    Zhang G Q, Yao T D, Xie H J, Kang S C and Lei Y B. 2013. Increased mass over the Tibetan Plateau: from lakes or glaciers? Geophysical Research Letters, 40(10): 2125-2130
  52. 52.
    Zhang G Q, Yao T D, Xie H J, Yang K, Zhu L P, Shum C K, Bolch T, Yi S, Allen S, Jiang L G, Chen W F and Ke C Q. 2020a. Response of Tibetan Plateau lakes to climate change: trends, patterns, and mechanisms. Earth-Science Reviews, 208: 103269
  53. 53.
    Zhang G Q, Yao T D, Xie H J, Zhang K X and Zhu F J. 2014. Lakes’ state and abundance across the Tibetan Plateau. Chinese Science Bulletin, 59(24): 3010-3021
  54. 54.
    Zhang G Q, Zheng G X, Gao Y, Xiang Y, Lei Y B and Li J L. 2017c. Automated water classification in the Tibetan Plateau using Chinese GF-1 WFV data. Photogrammetric Engineering and Remote Sensing, 83(7): 509-519
  55. 55.
    Zhang Y, Zhang G Q and Zhu T T. 2020b. Seasonal cycles of lakes on the Tibetan Plateau detected by Sentinel-1 SAR data. Science of the Total Environment, 703: 135563
  56. 56.
    Zhou J, Wang L, Zhang Y S, Guo Y H, Li X P and Liu W B. 2015. Exploring the water storage changes in the largest lake (Selin Co) over the Tibetan Plateau during 2003-2012 from a basin-wide hydrological modeling. Water Resources Research, 51(10): 8060-8086
  57. 57.
    Zhu Z, Wang S X and Woodcock C E. 2015. Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4-7, 8, and Sentinel 2 images. Remote Sensing of Environment, 159: 269-277
  58. 58.
    Zhu Z, Wulder M A, Roy D P, Woodcock C E, Hansen M C, Radeloff V C, Healey S P, Schaaf C, Hostert P, Strobl P, Pekel J F, Lymburner L, Pahlevan N and Scambos T A. 2019. Benefits of the free and open Landsat data policy. Remote Sensing of Environment, 224: 382-385

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