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
fDate :
June 29 2011-July 1 2011
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;
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
DOI :
10.1109/ICSDM.2011.5969076
