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基于遥感的科尔沁沙地蒸散发时空动态 被引量:1

Spatiotemporal Dynamics of Evapotranspiration in Horqin Sandy Land Based on Remote Sensing
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摘要 蒸散发(evapotranspiration, ET)的精准估算对于干旱半干旱地区的水资源规划以及荒漠化防治具有重要意义。采用基于最大熵增原理(maximum entropy production, MEP)的蒸散发模型以及SEBAL模型,结合Landsat8与气象数据,估算了研究区净辐射(Rn)、地表温度(Ts)、相对湿度(RH)以及蒸散发(ET),使用实测数据对地表参数和ET进行验证,并对MEP模型以及SEBAL模型进行对比分析,结合研究区土地覆被类型分析了地表参数和蒸散发(ET)的时空变化以及不同土地覆被类型下ET影响因素,并得出以下结论:(1)研究区地表参数和ET估算值均与实测值拟合良好,表明MEP模型与SEBAL模型可以为半干旱地区提供合理的ET估算值;(2)对比SEBAL模型与MEP模型发现:春季差异较小,夏季差异较大,主要集中在沙丘地:(3) ET的时空分布为:时间上在5—6月呈上升趋势,7—8月初保持较高状态,9—10月呈显著降低趋势,空间上呈现出湖泊较高,农田与草甸次之,沙丘最低的分布情况,影响ET空间分布的主要因素是土壤类型、土壤含水量以及植被状况。 Accurate estimation of evapotranspiration(ET) is of great significance for water resource planning and desertification control in arid and semi-arid regions. In this study, the evaporation model based on the maximum entropy increase principle(maximum entropy production, MEP) and the SEBAL model are used, The net radiation(Rn), surface temperature(Ts), relative humidity(RH) and evaporative(ET) in the study area were estimated to verify the surface parameters and ET using the measured data and combining with Landsat8 and meteorological data, and the MEP model and SEBAL model were compared and analyzed. The temporal and spatial changes of surface parameters and evaporative(ET) and the influencing factors of ET under different land cover types were analyzed by combining with the land cover types in the study area. the following conclusions were drawn as follows.(1) The estimated values of surface parameters and ET in the study area fit well with the measured values. The results show that MEP model and SEBAL model can provide reasonable ET estimation for semi-arid areas.(2) Compared with SEBAL model and MEP model, it is found that there is little difference in spring and great difference in summer, which is mainly concentrated in dune land.(3) The temporal and spatial distribution of ET shows an upward trend from May to June and remains high from July to early August. It shows a significant downward trend from September to October, ET is higher in lake, followed by farmland and meadow, ET of sand dunes is the lowest. The main factors affecting the spatial distribution of ET are soil type, soil water content and vegetation status.
作者 张鹏 张圣微 徐冉 高露 高文龙 杜银龙 ZHANG Peng;ZHANG Shengwei;XU Ran;GAO Lu;GAO Wenlong;DU Yinlong(College of Water Conservancy and Civil Engineering,Inner Mongolia Agricultural University,Hohhot 010018,China;Key Laboratory of Protection and Utilization of Water Resources of Inner Mongolia autonomous region,Hohhot 010018,China;Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry,Hohhot,Inner Mongolia 010018,China;Hydrological Survey Bureau of Ordos City of Inner Mongolia,Ordos,Inner Mongolia 017010,China)
出处 《水土保持研究》 CSCD 北大核心 2021年第3期399-405,414,共8页 Research of Soil and Water Conservation
基金 国家自然科学基金(51569017,51779116) 中国科学院“西部之光” 青年学者项目内蒙古自然科学基金杰出青年培育基金(2019JQ06) 内蒙古自治区科学技术厅(2020CG0054)。
关键词 蒸散发 MEP模型 SEBAL模型 土地覆被 时空分布 evapotranspiration MEP model SEBAL model land cover spatio-temporal distribution
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