Evaluation of spatial-temporal dynamics in surface water temperature of Qinghai Lake from 2001 to 2010 by using MODIS data
详细信息    查看全文
  • 作者:Fei Xiao (1188)
    Feng Ling (1188)
    Yun Du (1188)
    Qi Feng (1188)
    Yi Yan (1188)
    Hui Chen (1188)
  • 关键词:surface water temperature (SWT) ; spatial ; temporal changes ; MODIS ; Qinghai Lake
  • 刊名:Journal of Arid Land
  • 出版年:2013
  • 出版时间:December 2013
  • 年:2013
  • 卷:5
  • 期:4
  • 页码:452-464
  • 全文大小:786 KB
  • 参考文献:1. Alcantara E H, Stech J L, Lorenzzetti J A, et al. 2010. Remote sensing of water surface temperature and heat flux over a tropical hydroelectric reservoir. Remote Sensing of Environment, 114(11): 2651-665.
    2. Arnell N, Bates B, Lang H, et al. 1996. Hydrology and freshwater ecology. In: Watson R T, Zinyowera M C, Moss R H, et al. Climate Change 1995: Impacts, Adaptations, and Mitigation of Climate Change-Scientific-Technical Analysis, Contribution of Working Group II to the Second Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press, 325-64.
    3. Balsamo G, Dutra E, Stepanenko V M, et al. 2010. Deriving an effective lake depth from satellite lake surface temperature data: a feasibility study with MODIS data. Boreal Environment Research, 15(2): 178-90.
    4. Barton I J, Prata A J. 1995. Satellite derived sea surface temperature data sets for climate applications. Advances in Space Research, 16(10): 127-36.
    5. Becker M W, Daw A. 2005. Influence of lake morphology and clarity on water surface temperature as measured by EOS ASTER. Remote Sensing of Environment, 99(3): 288-94.
    6. Bussières N, Schertzer W M. 2004. The evolution of AVHRR-derived water temperatures over lakes in the Mackenzie Basin and hydrometeorological applications. Journal of Hydrometeorology, 4: 660-72.
    7. Chavula G, Brezonik P, Thenkabail P, et al. 2009. Estimating the surface temperature of Lake Malawi using AVHRR and MODIS satellite imagery. Physics and Chemistry of the Earth, 34(13-6): 749-54.
    8. Cho H Y, Lee K H. 2012. Development of an air-water temperature relationship model to predict climate-induced future water. Journal of Environmental Engineering, 138(5): 570-77.
    9. Crosman E T, Horel J D. 2009. MODIS-derived surface temperature of the Great Salt Lake. Remote Sensing of Environment, 113(1): 73-1.
    10. Ekercin S, ?rmeci C. 2010. Evaluating climate change effects on water and salt resources in Salt Lake, Turkey using multitemporal SPOT imagery. Environmental Monitoring and Assessment, 163(1-): 361-68.
    11. Emery W J, Yu Y. 1997. Satellite sea surface temperature patterns. International Journal of Remote Sensing, 18(2): 323-34.
    12. Fily M, Royer A, Go?ta K, et al. 2003. A simple retrieval method for land surface temperature and fraction of water surface determination from satellite microwave brightness temperatures in sub-arctic areas. Remote Sensing of Environment, 85(3): 328-38.
    13. Gorham E. 1964. Morphometric control of annual heat budgets in temperate lakes. Limnology and Limnology and Oceanography, 9(4): 525-29.
    14. Handcock R N, Gillespie A R, Cherkauer K A, et al. 2006. Accuracy and uncertainty of thermal-infrared remote sensing of stream temperatures at multiple spatial scales. Remote Sensing of Environment, 100(4): 427-40.
    15. Hook S J, Vaughan R G, Tonooka H, et al. 2007. Absolute radiometric in-flight validation of mid infrared and thermal infrared data from ASTER and MODIS on the Terra Spacecraft using the Lake Tahoe, CA/NV, USA, automated validation site. IEEE Transactions on Geoscience and Remote Sensing, 45(6): 1798-807.
    16. Kothandaraman V, Evans R L. 1972. Use of Air-Water Relationships for Predicting Water Temperature. Illinois State Water Survey, Urbana, Report of Investigation 69. Urbana, USA: Authority of the State of Illinois-Ch, 1-4.
    17. Li H W, Beschta R L, Kauffman J B, et al. 2000. Geomorphic, hydrologic and ecological connectivity in Columbia River watersheds: implications for endangered salmonids. In: Completion Report to the Environmental Protection Agency Star Program, R82-4774-010. Oregon State University, USA.
    18. Li Y T, Li X Y, Cui B L, et al. 2010. Trend of streamflow in Lake Qinghai basin during the past 50 years (1956-007). Journal of Lake Sciences, 22(5): 757-66.
    19. Liu J, Wang F, Yu F L. 2009. Variation tendency prediction of dynamic water level in Qinghai Lake. Journal of Hydraulic Engineering, 40(3): 319-27.
    20. Livingstone D M. 2003. Impact on secular climate change on the thermal structure of a large temperate central European lake. Climatic Change, 57(1-): 205-25.
    21. Oesch D C, Jaquet J M, Hauser A, et al. 2005. Lake surface water temperature retrieval using advanced very high resolution radiometer and Moderate Resolution Imaging Spectroradiometer data: validation and feasibility study. Journal of Geophysical Research, 110, doi: 10.1029/2004JC002857.
    22. Parkinson C L. 2003. Aqua: an earth-observing satellite mission to examine water and other climate variables. IEEE Transactions on Geoscience and Remote Sensing, 41(2): 173-83.
    23. Plattner S, Mason D M, Leshkevich G A, et al. 2006. Classifying and forecasting coastal upwellings in Lake Michigan using satellite derived temperature images and buoy data. Journal of Great Lakes Research, 32(1): 63-6.
    24. Rani N, Sinha P K, Prasad K, et al. 2011. Assessment of temporal variation in water quality of some important rivers in middle Gangetic plains, India. Environmental Monitoring and Assessment, 174(1-): 401-15.
    25. Reinart A, Reinhold M. 2008. Mapping surface temperature in large lakes with MODIS data. Remote Sensing of Environment, 112(2): 603-11.
    26. Schneider P, Hook S J, Radocinski R G, et al. 2009. Satellite observations indicate rapid warming trend for lakes in California and Nevada. Geophysical Research Letters, 36, doi: 10.1029/2009GL040846.
    27. Sha W Y, Shao X M, Huang M. 2002. Climate warming and its impact on natural regional boundaries in China in the 1980s. Science in China: Earth Sciences, 32(4): 317-26.
    28. Shen F, Kuang D B. 2003. Remote sensing investigation and survey of Qinghai Lake in the past 25 years. Journal of Lake Sciences, 15(4): 289-96.
    29. Sun Y L, Li X Y, Xu H Y. 2007. Daily precipitation and temperature variations in Qinghai Lake watershed in recent 40 years. Arid Meteorology, 25(1): 7-3.
    30. Torgersen C E, Faux R N, McIntosh B A, et al. 2001. Airborne thermal remote sensing for water temperature assessment in rivers and streams. Remote Sensing of Environment, 76(3): 386-98.
    31. Trumpickas J, Shuter B J, Minns C K. 2009. Forecasting impacts of climate change on Great Lakes surface water emperature. Journal of Great Lakes Research, 35(3): 454-63.
    32. Wan Z, Dozier J. 1996. A generalized split-window algorithm for retrieving land-surface temperature from space. IEEE Transactions on Geoscience and Remote Sensing, 34(4): 892-05.
    33. Wan Z. 1999. MODIS Land-Surface Temperature Algorithm Theoretical Basis Document (LST ATBD): Version 3.3. Institute for Computational Earth System Science, University of California, Santa Barbara.
    34. Wan Z, Zhang Y, Zhang Q, et al. 2004. Quality assessment and validation of the MODIS global land surface temperature. International Journal of Remote Sensing, 25(1): 261-74.
    35. Wan Z M, Zhang Y L, Zhang Q C, et al. 2002. Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data. Remote Sensing of Environment, 83(1-): 163-80.
    36. Wang J H, Tian J H, Li X Y, et al. 2011. Evaluation of concordance between environment and economy in Qinghai Lake Watershed, Qinghai-Tibet Plateau. Journal of Geographical Sciences, 21(5): 949-60.
    37. Wang W H, Liang S L, Meyers T. 2008. Validating MODIS land surface temperature products using long-term nighttime ground measurements. Remote Sensing of Environment, 112(3): 623-35.
    38. Wloczyk C, Richter R, Borg E, et al. 2006. Sea and lake surface temperature retrieval from Landsat thermal data in Northern Germany. International Journal of Remote Sensing, 27(12): 2489-502.
    39. Wooster M, Patterson G, Loftie R, et al. 2001. Derivation and validation of the seasonal thermal structure of Lake Malawi using multi-satellite AVHRR observations. International Journal of Remote Sensing, 22(15): 2953-972.
    40. Wu S H, Yin Y H, Zheng D, et al. 2005. Climate changes in the Tibetan Plateau during the last three decades. Acta Geographica Sinica, 60(1): 3-1.
    41. Xiayimulati. 2009. Characteristics of water temperature change of inland rivers in western part of Tianshan Mountains in last 50 years. Journal of China Hydrology, 29(2): 84-6.
    42. Zhao L, Ping C L, Yang D Q, et al. 2004. Changes of climate and seasonally frozen ground over the past years in Qinghai-Xizang (Tibetan) Plateau, China. Global and Planetary Change, 43(1-): 19-1.
    43. Zheng D, Lin Z Y, Zhang X Q. 2002. Progress in studies of Tibetan Plateau and global environmental change. Earth Science Frontiers, 9(1): 95-02.
    44. Zhu S J, Chang Z F. 2011. Temperature and precipitation trends in Minqin Desert during the period of 1961-007. Journal of Arid Land, 3(3): 214-19.
  • 作者单位:Fei Xiao (1188)
    Feng Ling (1188)
    Yun Du (1188)
    Qi Feng (1188)
    Yi Yan (1188)
    Hui Chen (1188)

    1188. Institute of Geodesy and Geophysics, Chinese Academy of Sciences, Wuhan, 430077, China
文摘
Lake surface water temperature (SWT) is an important indicator of lake state relative to its water chemistry and aquatic ecosystem, in addition to being an important regional climate indicator. However, few literatures involving spatial-temporal changes of lake SWT in the Qinghai-Tibet Plateau, including Qinghai Lake, are available. Our objective is to study the spatial-temporal changes in SWT of Qinghai Lake from 2001 to 2010, using Moderate-resolution Imaging Spectroradiometer (MODIS) data. Based on each pixel, we calculated the temporal SWT variations and long-term trends, compared the spatial patterns of annual average SWT in different years, and mapped and analyzed the seasonal cycles of the spatial patterns of SWT. The results revealed that the differences between the average daily SWT and air temperature during the temperature decreasing phase were relatively larger than those during the temperature increasing phase. The increasing rate of the annual average SWT during the study period was about 0.01°C/a, followed by an increasing rate of about 0.05°C/a in annual average air temperature. The annual average SWT from 2001 to 2010 showed similar spatial patterns, while the SWT spatial changes from January to December demonstrated an interesting seasonal reversion pattern. The high-temperature area transformed stepwise from the south to the north regions and then back to the south region from January to December, whereas the low-temperature area demonstrated a reversed annual cyclical trace. The spatial-temporal patterns of SWTs were shaped by the topography of the lake basin and the distribution of drainages.

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700