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Journal of Arid Land  2012, Vol. 4 Issue (1): 105-112    DOI: 10.3724/SP.J.1227.2012.00105
Research Articles     
Spatio-temporal pattern and changes of evapotranspiration in arid Central Asia and Xinjiang of China
Xi CHEN1, BaiLian LI1,2, Qin LI3, JunLi LI1, Saparnov ABDULLA4
1 State Key Laboratory of Desert and Oasis Ecology, Sino-US International Center of Ecology in Arid Land, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China;
2 Ecological Complexity and Modeling Laboratory, Department of Botany and Plant Sciences, University of California, Riverside CA 92521-0124, USA;
3 University of Jinan, Jinan 250022, China;
4 U.U.Uspanov Kazakh Research Institute of Soil Science and Agrichemistry, Ministry of Agriculture of Kazakhstan, Almaty 050060, Kazakhstan
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Abstract  Accurate inversion of land surface evapotranspiration (ET) in arid areas is of great significance for understanding global eco-hydrological process and exploring the spatio-temporal variation and ecological response of water resources. It is also important in the functional evaluation of regional water cycle and water balance, as well as the rational allocation and management of water resources. This study, based on model validation analysis at varied scales in five Central Asian countries and China’s Xinjiang, developed an appropriate approach for ET inversion in arid lands. The actual ET during growing seasons of the study area was defined, and the changes in water participating in evaporation in regional water cycle were then educed. The results show the simulation error of SEBS (Surface Energy Balance System) model under cloud amount consideration was 1.34% at 30-m spatial scale, 2.75% at 1-km spatial scale and 6.37% at 4-km spatial scale. ET inversion for 1980–2007 applying SEBS model in the study area indicates: (1) the evaporation depth (May–September) by land types descends in the order of waters (660.24 mm) > cultivated land (464.66 mm) > woodland (388.44 mm) > urbanized land (168.16 mm) > grassland (160.48 mm) > unused land (83.08 mm); and (2) ET during the 2005 growing season in Xinjiang and Central Asia was 2,168.68×108 m3 (with an evaporation/precipitation ratio of 1.05) and 9,741.03×108 m3 (with an evaporation/precipitation ratio of 1.4), respectively. The results unveiled the spatio-temporal variation rules of ET process in arid areas, providing a reference for further research on the water cycle and water balance in similar arid regions.

Key wordsTengger Desert      reversion process of desertification      soil water content      sand-binding vegetation      geostatistical analysis
Received: 15 October 2011      Published: 05 March 2012

The National Natural Science Foundation of China (40730633 and 40571030).

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Cite this article:

Xi CHEN, BaiLian LI, Qin LI, JunLi LI, Saparnov ABDULLA. Spatio-temporal pattern and changes of evapotranspiration in arid Central Asia and Xinjiang of China. Journal of Arid Land, 2012, 4(1): 105-112.

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Chen X. 2008. Land Use and Land Cover Change of Arid Land in China. Beijing: Science Press.

Cheng Y F, Wang G X, Xi H Y, et al. 2007. Middle reaches of Heihe River plain area in the recent 35 a study on changes of land surface evapotranspiration. Glaciology and Cryopedology, 293: 406–412.

Cui Y L, Xu Y X, Shao J L, et al. 2005. Using remote sensing method for surface steaming method in Yellow River Delta and its relationship with underlying surface. Earth Science Frontiers: Special Issue: 160–164.

Guo X Y, Cheng G D. 2004. Application of remote sensing technology to advances in research of land surface evapotranspiration. Progress in Earth Science, 21: 107–114.

Guo X Y. 2005. Distribution of evapotranspiration over Heihe River basin using remote sensing method. Progress in Natural Science, 1510: 1266–1270.

Jiang H, Liu Z H, Tang J, et al. 2006. Remote sensing technology in the evaporation study on the estimation of progress. Application Technology of Soil and Water Conservation, 3: 37–39.

Le J, Shafiqul I. 2001. Estimation of surface evaporation map over southern Great Plains using remote sensing data. Water Resources Research, 37(2): 329–340.

Liu J M, Wang Z, Diao Y W. 2006. Distributed model and its application in simulating watershed evapotranspiration and validation. Journal of Applied Ecology, 171: 45–50.

Liu S M. 2004. Based on the complementary principle of comparison of regional evapotranspiration estimation model. Geography, 593: 331–340.

Nishida K, Nemani R, Glassy J M, et al. 2003. Development of an evapotranspiration index from Aqua/MODIS for monitoring surface moisture status. IEEE Transactions on Geoscience and Remote Sensing, 41(21): 493–501.

Priestley C H B, Taylor R J. 1972. On the assessment of surface heat flux and evaporation using large scale parameters. Monthly Weather Review, 100: 81–92.

Qiu G, Shi P, Wang L. 2006. Theoretical analysis of a remotely measureable soil evaporation transfer coefficient. Remote Sensing of Environment, 101: 390–398.

Si X L, Yang Z Y, Yang Z L. 2003. Regional synthetic evapotranspiration calculation method. Hydrology, 234: 17–21.

Su Z. 2000. Remote sensing of land use and vegetation for mesoscale hydrological studies. International Journal of Remote Sensing, 21(2): 213–233.

Willem W V, Frank V, Jan F, et al. 2005. Estimation evapotanspiration of European forestes from NOAA-imagery at satellite overpass time: towards an operational processing chain for integrated optical and thermal sensor data products. Remote Sensing of Environment, 96: 256–276.

Willem W V, Frank V, Van D, et al. 2006. Soil moisture retrievalusing thermalinertia, determined with visible and thermal spaceborne data, validated for European forests. Remote Sensing of Environment, 101: 299–314.

Willem W V, Frank V, Jan F, et al. 2008. Assessment of evapot¬ranspiration and soil moisture content across different scales of observation. Sensors, 8: 70–117.

Xu H, Li Y. 2005. Three kinds of desert shrub of the water policy and related physiological performance. Acta Botanica Sinica, 257: 1309–1316.

Yu G R, Sun X M. 2006. Principles of Flux Measurement in Terrestrial Ecosystems. Beijing: Higher Education Press.

Zhang R H, Sun X M, Zhu Z L, et al. 2002. Based on differential thermal inertia surface evaporation of remote sensing information model and its validation in Shapotou area, Gansu province. Science in China: Series D, 3212: 1041–1050.

Zhang X W, Zhang J B. 2006. Xinjiang Meteorological Manual. Beijing: Meteorological Press.
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