基于SEBS 模型的精河流域蒸散发研究

doi:10.13866/j.azr.2020.06.02

摘要/Abstract

摘要： ：以干旱区生态脆弱区精河流域为研究区，选取1990—2016年气象观测日值数据及对应时期Landsat系列影像六景，基于地表能量平衡系统模型方法，对1990—2016年蒸散发的时空格局进行了研究。结果表明：（1）在全球升温的大背景下，近26 a来研究区蒸散发整体呈增加趋势，Morlet小波分析显示存在5 a、7 a、13 a尺度变化周期。（2）研究区蒸散发量在空间呈现南高北低特征，蒸散发减少区域在东北未利用地，蒸散发显著增加区域在艾比湖西北部和南部山区。（3）不同土地利用类型下的蒸散发量由高至低为：林地>水体>草地>耕地>建设用地>未利用地。（4）与地表蒸散发表现出高度正相关的气象因素为风速，地表参数为高程（DEM）与地表比辐射率（ε）；与地表蒸散发表现出高度负相关的气象因素为近地表空气相对湿度，地表参数为温度植被干旱指数（TDVI）与地表温度（T_s）。

关键词: SEBS模型, 蒸散发, 时空格局, 精河流域, 新疆

Abstract: The arid ecological fragile area of Jinghe Basin was selected as the research area. Daily meteorological observation data from 1990 to 2016 and six scenes of corresponding Landsat series images were investigated. The results show that under the context of global warming, evapotranspiration in the study area as a whole has increased over the past 26 years and Morlet wavelet analysis shows that there are 5 a, 7 a, 13 a scale change cycles. Additionally, evapotranspiration in the study area is spatially high in the south and low in the north. The evapotranspiration was reduced in the unused land in the northeast and significantly increased in the northwestern part of Lake Aibi and the southern mountainous area. Evapotranspiration under different land-use types followed the pattern from high to low of forest land > water body > grassland > cultivated land > construction land > unused land. Among the measured meteorological factors, wind speed was highly positively correlated with surface evapotranspiration, along with elevation and specific surface emissivity. The meteorological factors that show a highly negative correlation with surface evapotranspiration were near-surface air relative humidity, and the surface parameters were temperature vegetation drought index and surface temperature.

Key words: SEBS model, evapotranspiration, space-time pattern, Jinghe River Basin, Xinjiang

郑倩倩, 代鹏超, 张金燕, 毋兆鹏. 基于SEBS 模型的精河流域蒸散发研究[J]. 干旱区研究, 2020, 37(6): 1378-1387.

ZHENG Qian-qian, DAI Peng-chao, ZHANG Jin-yan, WU Zhao-peng. Evapotranspiration in the Jinghe River Basin based on the surface energy balance system[J]. Arid Zone Research, 2020, 37(6): 1378-1387.

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