• DocumentCode
    2527652
  • Title

    Spatial-temporal characters of evapotranspiration in the Yellow River Delta

  • Author

    Zhu, Mingming ; Hou, Xiyong ; Lu, Xiao ; Li, Mingjie

  • Author_Institution
    Key Lab. of Coastal Zone Environ. Processes, CAS, Yantai, China
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    409
  • Lastpage
    412
  • Abstract
    Evapotranspiration (ET) is an important variable for water and energy balances on the earth´s surface. Surface Energy Balance Algorithm for Land (SEBAL) is an image-processing model that calculates ET over vast areas. In this study, time series of MODIS data in 2009 and meteorological data are used to estimate ET over the Yellow River Delta (YRD) by SEBAL, and then the spatial-temporal characters of ET are analyzed. It shows that, monthly average ET presents a unimodal distribution that the peak value locates in June, ET changes with the corresponding of climate and underlying surface coverage variations over time and season; there are great spatial diversities of ET, Water and beach have a relatively high level of ET which are mainly located in the northeast and northern of the study area. ET in Guangrao County tends to decrease from May to July, and then increase rapidly in August, finally decreases sharply in September and October.
  • Keywords
    atmospheric humidity; evaporation; meteorology; spatiotemporal phenomena; time series; transpiration; AD 2009; China; Guangrao County; MODIS data; SEBAL model; Surface Energy Balance Algorithm for Land; Yellow River Delta; climate; energy balance; evapotranspiration; image processing model; spatial-temporal character; surface coverage variation; time series; water balance; Agriculture; Equations; Land surface; Mathematical model; Meteorology; Ocean temperature; Remote sensing; Evapotranspiration; MODIS; SEBAL; the Yellow River Delta;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
  • Conference_Location
    Fuzhou
  • Print_ISBN
    978-1-4244-8352-5
  • Type

    conf

  • DOI
    10.1109/ICSDM.2011.5969076
  • Filename
    5969076