[1]董国涛,王鸣程,白娟,等.基于遥感的泾河流域日蒸散量估算[J].水土保持研究,2015,22(02):101-106,112.
　DONG Guotao,WANG Mingcheng,BAI Juan,et al.Estimation of Daily Evapotranspiration Based on Remote Sensing Data in Jinghe Basin[J].Research of Soil and Water Conservation,2015,22(02):101-106,112.
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基于遥感的泾河流域日蒸散量估算

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 22 期数: 2015年02期 页码: 101-106,112 栏目: 出版日期: 2015-04-28
Title:
Estimation of Daily Evapotranspiration Based on Remote Sensing Data in Jinghe Basin
作者:
董国涛1, 王鸣程2, 白娟3, 蒋晓辉1, 何宏谋1, 党素珍1, 王化儒4
1. 黄河水利委员会黄河水利科学研究院, 郑州 450003;
2. 中国科学院 昆明植物研究所山地生态系统研究中心, 昆明 650201;
3. 山西师范大学 城市与环境科学学院, 山西 临汾 041000;
4. 黄河水资源保护科学研究院, 郑州 450003
Author(s):
DONG Guotao1, WANG Mingcheng2, BAI Juan3, JIANG Xiaohui1, HE Hongmou1, DANG Suzhen1, WANG Huaru4
1. Yellow River Institute of Hydraulic Research, YRCC, Zhengzhou 450003, China;
2. Centre for Mountain Ecosystems Studies, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China;
3. College of Urban and Environmental Science, Shanxi Normal University, Linfen, Shanxi 041000, China;
4. Yellow River Water Resources Protection Institute, Zhengzhou 450003, China
关键词:
蒸散发; 遥感; 区域蒸散发模型; 泾河流域
Keywords:
evapotranspiration; remote sensing; regional ET model; Jinghe basin
分类号:
P426.2
摘要:
蒸散发是陆地水分和能量循环过程中的重要环节。利用遥感数据与传统蒸散发模型相结合的方法，对泾河流域2006年3—10月日实际蒸散量进行动态模拟，并利用LAS站实测数据对模拟结果进行了验证。结果表明：1）基于遥感的P-T方法估算地表实际蒸散发可获得较好的效果。2）泾河流域蒸散发空间上，总体趋势为“南高北低；东西两侧山区高，中部平原低”；林地蒸散量最高，其次为农田，最低的是草地。3）时间上，泾河流域蒸散发呈单峰型分布，7月、8月份的蒸散发量最高。4）月均气温、月降雨量和月均植被指数与月均蒸散发量的相关系数分别在0.8，0.5，0.7左右，表明温度、降水和植被是影响泾河流域蒸散发的关键因素。
Abstract:
Evapotranspiration (ET) is a key process in the global water and energy cycle. It is convenient to estimate the spatiotemporal variation of ET using remote sensing techniques. The regional ET model driven by remote sensing was built by coupling the conventional ET model with remote sensing data. Daily ET was estimated from March to October of 2006 in the Jinghe basin. The estimation was validated with LAS data. The results showed that: 1) the estimation using the P-T method based on remote sensing met the observations well; 2) spatial distribution patterns indicated that ET was higher in lower latitudes and mountainous areas than in higher latitudes and plains, and ET of forest ranked the highest among other land cover types; 3) ET presented a unimodal distribution and peaked in July and August; 4) strong correlations were found between monthly ET and the monthly average temperature, monthly precipitation, and vegetation index, the correlation coefficients were 0.8, 0.5 and 0.7, respectively. Temperature, precipitation and vegetation index were the major factors affecting the daily ET in Jinghe basin.

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备注/Memo

收稿日期:2014-04-23;改回日期:2014-05-21。
基金项目:国家自然科学基金资助项目（41301496，41301030）；中央级公益性科研院所基本科研业务费专项资金（HKY-JBYW-2013-22，HKY-JBYW-2013-23）；“十二五”国家科技支撑计划（2012BAB02B0403）
作者简介:董国涛(1982-),男,山东青州人,博士,工程师,主要从事水文水资源过程模拟等方面的研究。E-mail:dongguotao@hky.yrcc.gov.cn
通讯作者:蒋晓辉(1972-),男,湖南永州人,博士,教授级高级工程师,主要从事水资源和生态环境研究。E-mail:jxh3412@163.com

更新日期/Last Update: 1900-01-01