Journal of Natural Disasters. 2014, (01) Core

Drought monitoring based on simulated surface evapotranspiration by BEPS modelChinese Full Text

WU Rongjun;GE Qin;ZHAN Xiwu;GUAN Fulai;YAO Shuran;Jiangsu Key Laboratory of Atmospheric Environment Monitoring ＆ Pollution Control;College of Environmental Science and Engineering,Nanjing University of Information Science and Technology;The Center for Satellite Applications and Research (STAR) ,National Environmental Satellite,Data,and Information Service (NESDIS);Hebei Institute of Meteorological Science;

Abstract: To construct effective drought monitoring and evaluation index, the moderate resolution imaging spectrometer（ MODIS） data and the NCEP / NCAR reanalysis data were utilized,and on the basis of remote sensing process model（ BEPS）,the surface evapotranspiration was simulated in this paper. At the same time, using the data of flux observation network AmeriFlux,the reliability and adaptability of this model was validated. On this basis,relative moisture index（ BMI） was constructed to analyze the temporal and spatial distribution characteristics of regional dry and wet conditions in 2007- 2009,and was compared with other drought index. The findings suggest that,BEPS model has a good effectiveness for terrestrial ecosystem evapotranspiration in the United States of America. The correlation coefficient of 12 sites reaches 0. 8568（ p ＜ 0. 01）. Spatial distribution characteristics of BMI value is obvious,and is consistent with latitudinal change and longitude of the precipitation and evapotranspiration. The temporal distribution characteristic of BMI values shows that,its seasonal variation issignificant too. It is closely linked with the terrain,climatic characteristic and vegetation distribution. Affected by precipitation,good indication effectiveness of BMI on drought monitoring is in the month scale or seasonal scale. The correlation coefficients of BMI and USDM show that,the constructed index based on the BEPS model simulating ET is feasible in drought monitoring.

Keywords：

remote sensing; land surface evapotranspiration; BEPS model; BMI index; drought;

DOI：
10.13577/j.jnd.2014.0102
Series：
Subject：
Classification Code：
S423

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