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基于SEBAL模型的漓江流域蒸散量变化分析
引用本文:周玲,,张丽,许君一,刘广.基于SEBAL模型的漓江流域蒸散量变化分析[J].水土保持研究,2015,22(4):332-337.
作者姓名:周玲    张丽  许君一  刘广
作者单位:1. 中国科学院 遥感与数字地球研究所 数字地球重点实验室, 北京 100094;2. 山东科技大学 测绘科学与工程学院, 山东 青岛 266590
摘    要:基于1993年、1999年、2006年和2010年Landsat TM/ETM+影像,应用SEBAL模型估算了漓江流域四期不同时相的日蒸散量,并应用P-M公式对估算结果进行验证。通过对研究区蒸散量结果进行分析,得出以下结论:(1)日蒸散量分布受到季节及气候的影响,植被生长季的蒸散量明显高于其他季节;(2)漓江流域的蒸散分布具有明显的空间差异性,不同土地利用类型的蒸散均值相差较大,不同时期的蒸散量均表现出林地 > 水体 > 灌木/草地 > 耕地 > 建设用地的规律;(3)近20 a来漓江流域土地利用变化显著,除去气候及降水量等因素的影响,蒸散量受到土地利用变化的影响明显。随着漓江水源林地的减少与退化,日蒸散量呈现下降的趋势,进一步揭示了经济发展与人类活动对漓江流域生态环境及水热平衡的影响。

关 键 词:遥感  漓江流域  土地利用  蒸散量  SEBAL模型

Analysis of the Variations of Evapotranpiration in Lijiang River Basin Based on SEBAL Model
ZHOU Ling,,ZHANG Li,XU Junyi,LIU Guang.Analysis of the Variations of Evapotranpiration in Lijiang River Basin Based on SEBAL Model[J].Research of Soil and Water Conservation,2015,22(4):332-337.
Authors:ZHOU Ling    ZHANG Li  XU Junyi  LIU Guang
Institution:1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;2. Geomatics College, Shandong University of Science and Technology, Qingdao, Shandong 266590, China
Abstract:Based on Landsat TM/ETM+ images in 1993, 1999, 2006 and 2010, regional evapotranspiration were estimated using the SEBAL model. The P-M model and the data from meteorology station were used to verify the accuracy of ET estimation from SEBAL model. The results shows that:(1) the evapotranspiration in Lijiang River Basin was strongly influenced by season and climate, and ET in growing season was much higher than that during other seasons; (2) the ET in the Lijiang River basin had the obvious spatial variations depending on different vegetation types, and the evapotranspiration for different periods all presented the sequence of woodland > water > bush/grassland > cropland > construction land; (3) the land use and land cover of the Lijiang River Basin had changed drastically, which had strongly influenced ET in the study region. ET showed teh declining trend due to the forest degradation, which further indicated the influences of economic development and human activity on the environment and water-heat balance in the Lijiang River basin.
Keywords:remote sensing  Lijiang River Basin  land use and land cover  evapotranspiration  SEBAL model
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