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| 区域蒸散的遥感研究进展 | |
| 引用本文： | 邓芳萍,刘闯,苏高利.区域蒸散的遥感研究进展[J].科技通报,2008,24(4). |
| 作者姓名： | 邓芳萍 刘闯 苏高利 |
| 作者单位： | 1. 中国科学院地理科学与资源研究所,北京,100101;中国科学院研究生院,北京,100049 2. 中国科学院地理科学与资源研究所,北京,100101 3. 浙江省气候中心,杭州,310004 |
| 摘 要： | 蒸散是土壤蒸发和植物蒸腾的总称。蒸散的空间差异明显,进行全球及区域地表蒸散研究的最为行之有效的方法就是综合利用遥感、水文、气象及田间试验数据来估算蒸散。蒸散的遥感估算方法大致可分为三类,即统计经验法、能量平衡余项法和数值模型法。其中,统计经验法和能量平衡余项法的应用最为广泛,而数值模型则是近年来的研究热点。这三种方法各有优缺点:统计经验法计算过程简单,所需参数少,但是具有局地性;能量平衡余项法具备一定的物理基础,计算过程也不太复杂,但只能用于估算晴天条件下的区域蒸散;数值模型可综合利用不同来源、不同时空分辨率的各类地面数据和遥感数据,模拟各种天气条件下的区域蒸散,但是它的计算过程复杂,某些参数不易获取,距离实际应用还有很长的一段距离。 |
| 关 键 词： | 蒸散 遥感 统计经验法 能量平衡余项法 数值模型 数据同化 |
A Review of Remote Sensing of Regional Evapotranspiration |
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| DENG Fangping,LIU Chuang,SU Gaoli.A Review of Remote Sensing of Regional Evapotranspiration[J].Bulletin of Science and Technology,2008,24(4). | |
| Authors: | DENG Fangping LIU Chuang SU Gaoli |
| Abstract: | Evapotranspiration is the sum of soil evaporation and vegetation transpiration.As the Evapotranspiration shows obvious spatial variation,the most efficient way to estimate global and regional evapotranspiration is to utilize the remote sensing,along with hydrological,meteorological and field data.Historically,there are three types of methods i.e.statistic methods,energy residual methods,and numerical model,applied in the estimation of evapotranspiration.Statistic methods are the simplest ones,whereas they are location-depend and may fail to work when there was no detail field observation of evapotranspiration.The residual methods based on some physical mechanisms and the computations are not so complicate,but they can only estimate the evapotranspiration in clear day.Despite their drawbacks,both statistic methods and residual methods are widely used in the estimation of regional evapotranspiration.Recent years,more attentions have been paid to the numerical models,which have take advantages of data assimilation technology and land surface process models to simulate the dynamic and continuous fluxes of land surface.Unfortunately,due to the complicated calculation and the involvement of too many input variables,which some of them can hardly obtain,there is still a long way for the operational applications of numerical models. |
| Keywords: | evapotranspiration remote sensing statistic methods energy residual methods numerical models data assimilation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |