[1]于红博,张巧凤,包金兰.锡林河流域长时间序列蒸散量遥感监测及其相关因子[J].水土保持研究,2017,24(06):366-369.
　YU Hongbo,ZHANG Qiaofeng,BAO Jinlan.Long Time Series Remote Sensing Monitoring of Evapotranspiration in Xilin River Basin and Related Factors[J].Research of Soil and Water Conservation,2017,24(06):366-369.
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锡林河流域长时间序列蒸散量遥感监测及其相关因子

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 24 期数: 2017年06期 页码: 366-369 栏目: 出版日期: 2017-11-24
Title:
Long Time Series Remote Sensing Monitoring of Evapotranspiration in Xilin River Basin and Related Factors
作者:
于红博1,2, 张巧凤1,2, 包金兰3
1. 内蒙古师范大学 地理科学学院, 呼和浩特 010022;
2. 内蒙古师范大学 遥感与地理信息系统重点实验室, 呼和浩特 010022;
3. 内蒙古自治区土地调查规划院, 呼和浩特 010055
Author(s):
YU Hongbo1,2, ZHANG Qiaofeng1,2, BAO Jinlan3
1. College of Geograghic Science, Inner Mongolia Normal University, Huhhot 010022, China;
2. Inner Mongolian Key Laboratory of Remote Sensing and Geography Information System, Inner Mongolia Normal University, Huhhot 010022, China;
3. Inner Mongolia Land Surveying and Planning Institute, Huhhot 010055, China
关键词:
锡林河流域; 蒸散量; 遥感; 相关因子
Keywords:
Xilin River Basin; evapotranspiration; remote sensing; related factors
分类号:
P426.2;P407
摘要:
蒸散的准确估算对于草地干旱监测、水资源分布及利用等具有重要的参考价值。选择锡林河流域为研究区，基于地表能量平衡原理，利用遥感方法对2000-2014年每年7月、2000年、2007年、2010-2014年每年4-9月的MODIS影像数据进行处理，结合同期气象资料估算出流域日蒸散量，按所占日数加权得到月蒸散量。运用FAO推荐式进行了验证，平均相对误差为16.678%，在误差允许范围之内，说明该遥感方法有一定的可用性。结果表明，在时间分布上，2000-2014年这15年流域蒸散量的时间变化没有固定的趋向，基本与各年7月份降水量的趋势相一致，一年中蒸散量的最大值主要出现在6-7月份。将月蒸散量与月日均气温、风速、大气相对湿度、水汽压和月降水量作了单因子相关分析，表明，与蒸散量最为相关的气象因子是降水量，说明降水量是影响蒸散量大小的主要限制因子；由于气温季节变化明显，因此气温也是影响蒸散量的主要因子，但在每年的同一时间段（如7月），气温变化不明显时，气温就不再是影响蒸散量大小的主要因子了。
Abstract:
The study area is the Xilin River Basin. Remote sensing approach was used to retrieve instantaneous evapotranspiration based on the estimation of land surface fluxes by using MODIS images from July 2000 to July 2014 and from Apr. to Sept. of 2000, 2007, 2010-2014, and by using auxiliary environmental data from the same time periods. Daily evapotranspiration was estimated by scaling. Monthly evapotranspiration was weighted by the number of days. Results were verified by using the FAO method. This level of uncertainty was acceptable; therefore, the method that we concluded was applicable. In the time distribution, the evapotranspiration of fifteen years from 2000 to 2014 was no fixed trend. The trend of evapotranspiration was consistent with precipitation. The maximum evapotranspiration of a year mainly occurred in June and July. The single factor correlation analysis of the monthly evapotranspiration and monthly average temperature, wind speed, relative air humidity, vapor pressure, and monthly precipitation showed that the most relevant meteorological factor with evapotranspiration is precipitation. So precipitation is the main limiting factor of evapotranspiration. Air temperature is also an important factor because of its obvious seasonal changes. But air temperature is not the main factor when it does not change obviously such as in July from 2000 to 2014.

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备注/Memo

收稿日期:2016-10-14;改回日期:2016-11-11。
基金项目:国家自然科学项目“锡林河流域蒸散量估算模型建立及长时间序列蒸散分析研究”（41661009）；内蒙古自然科学资助项目“锡林河流域生态用水遥感反演及气候响应特征研究”（2013MS0611）
作者简介:于红博(1977-),女(满族),内蒙古呼和浩特市人,博士,副教授,主要从事生态建模与遥感图像处理方面的研究。E-mail:yuboge2003@sohu.com

更新日期/Last Update: 1900-01-01