基于MOD16产品的淮河流域实际蒸散发时空分布

doi:10.7522/j.isnn.1000-0240.2015.0148

冰川冻土 ›› 2015, Vol. 37 ›› Issue (5): 1343-1352.doi: 10.7522/j.isnn.1000-0240.2015.0148

基于MOD16产品的淮河流域实际蒸散发时空分布

杨秀芹^{1 2}, 王磊³, 王凯⁴

1. 南京信息工程大学水文气象学院, 江苏南京 210044;
2. 河海大学水文水资源与水利工程科学国家重点实验室, 江苏南京 210098;
3. 衡水市气象局, 河北衡水 053000;
4. 淮河水利委员会水文局(信息中心), 安徽蚌埠 233001

收稿日期:2015-05-11 修回日期:2015-07-10 出版日期:2015-10-25 发布日期:2016-03-28
作者简介:杨秀芹(1981-),女,山东聊城人,讲师,2009年于河海大学获博士学位,主要从事遥感蒸散发研究.E-mail:young_sd@nuist.edu.cn.
基金资助:
国家自然科学基金项目(41401017);水文水资源与水利工程科学国家重点实验室开放研究基金项目(2014490911);淮河流域气象中心开放基金项目(HRM201204);水利部公益性行业科研专项经费项目(201301066;201401027)资助

Spatio-temporal distribution of terrestrial evapotranspiration in Huaihe River basin based on MOD16ET data

YANG Xiuqin^{1 2}, WANG Lei³, WANG Kai⁴

1. College of Hydrometeorology, Nanjing University of Information Science & Technology, Nanjing 210098, China;
2. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
3. Hengshui Meteorological Bureau, Hebei Province, Hengshui 053000, Hebei, China;
4. Hydrological Bureau(Information Center), Huaihe River Water Resources Commission, Bengbu, 233001, Anhui, China

Received:2015-05-11 Revised:2015-07-10 Online:2015-10-25 Published:2016-03-28

摘要/Abstract

摘要： 蒸散发是陆面过程中的重要环节,联系着陆面水循环和地表能量平衡.淮河流域地处中国南北气候过渡带,对淮河流域实际蒸散量时空变化的研究,有助于深入理解中国气候过渡带水循环对全球气候变化的响应.应用遥感技术对淮河流域MOD16_ET数据进行精度验证,并分析2000-2014年淮河流域蒸散发时空分布特征.结果表明:MOD16_ET产品在淮河流域内的精度总体上符合要求;淮河流域多年平均蒸散发的空间分布整体上呈南高北低,季节蒸散量的空间分布与年蒸散量的空间分布大体一致;近15 a淮河流域平均的实际蒸散量变化范围为531.7~634.0 mm,且存在不显著的下降趋势,实际蒸散量的季节变化大致呈单峰型分布,且季节变化较为明显,夏季(257.2 mm) >春季(143.7 mm) >秋季(120.7 mm) >冬季(66.6 mm);淮河流域西北部,夏、秋、冬三季的季节蒸散量变化速率对年蒸散量变化速率的贡献较大;淮河流域东部,春季的蒸散量变化速率占年蒸散量变化速率的比重较大.研究结果对于淮河流域内水资源短缺问题的解决、有限水资源的合理利用以及旱涝灾害的监测和预警有着重要的意义.

关键词: 蒸散发, MOD16, 淮河流域, 时空变化

Abstract: Terrestrial evapotranspiration(ET) is the key connection of a wide array of Earth system processes, which links water cycles and energy balances over land. The Huaihe River basin is located in the transition climate zone from North China to South China. In order to further understand the response of water cycles to climate change, global or regional, spatial and temporal analysis of ET in the Huaihe River basin is essential. Remote sensing technology has obvious advantages in monitoring evapotranspiration of heterogeneous surface. Based on verification of the accuracy of MOD16 ET, in this paper, the spatial and temporal characteristics of the Huaihe River basin were analyzed entirely. It is found that(1) the magnitude and spatial distribution of MOD16 ET over the Huaihe River basin are basically reasonable;(2) the multi-year averaged annual ET corresponds with the sum of four seasonal ET of the basin and has characterized by higher value in south and lower value in north;(3) in the last 15 years, the average annual ET of whole basin has ranged from 531.7 to 634.0 mm, with an indistinctive downward tendency; seasonal variation of ET has been approximately unimodal, which changes obviously with reason:143.7 mm in spring, 257.2 mm in summer, 120.7 mm in autumn and 66.6 mm in winter;(4) spatially, in the northwest, annual ET changing rate in grid scale is mainly dominated by summer, autumn and winter ET changing rate, but in the east annual ET changing rate is dominated by spring ET changing rate primarily. The research results have important significance for how to solve the shortage of water resources, how to utilize the limited water resources, and how to monitor and forewarn flood and drought disaster.

Key words: evapotranspiration, MOD16 data, Huaihe River basin, spatial and temporal variation

中图分类号:

S161.4

杨秀芹, 王磊, 王凯. 基于MOD16产品的淮河流域实际蒸散发时空分布[J]. 冰川冻土, 2015, 37(5): 1343-1352.

YANG Xiuqin, WANG Lei, WANG Kai. Spatio-temporal distribution of terrestrial evapotranspiration in Huaihe River basin based on MOD16ET data[J]. JOURNAL OF GLACIOLOGY AND GEOCRYOLOGY, 2015, 37(5): 1343-1352.

参考文献

[1] Chahine M T. The hydrological cycle and its influence on climate[J]. Nature, 1996, 359(6349):373-380.
[2] Wang K C, Dickinson R E. A review of global terrestrial evapotranspiration:observation, modeling, climatology, and climatic variability[J]. Reviews of Geophysics, 2012, 50(RG2005):1-54.
[3] Jung M, Reichstein M, Ciais P, et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply[J]. Nature, 2010, 467(7318):951-954.
[4] Wu Guiping, Liu Yuanbo, Zhao Xiaosong, et al. Spatio-temporal variations of evapotranspiration in Poyang Lake basin using MOD16 products[J]. Geographical Research, 2013, 32(4):617-627.[吴桂平, 刘元波, 赵晓松, 等. 基于MOD16产品的鄱阳湖流域蒸散量时空分布特征[J]. 地理研究, 2013, 32(4):617-627.]
[5] Mahmood R, Hubbard K G. Simulating sensitivity of soil moisture and evapotranspiration under heterogeneous soils and land uses[J]. Journal of Hydrology, 2003, 280:72-90.
[6] Guo Shuhai, Yang Guojing, Li Qingfeng, et al. Observation and estimation of the evapotranspiration of alpine meadow in the upper reaches of the Aksu River, Xinjiang[J]. Journal of Glaciology and Geocryology, 2015, 37(1):241-248.[郭淑海, 杨国靖, 李清峰, 等. 新疆阿克苏河上游高寒草甸蒸散发观测与估算[J]. 冰川冻土, 2015, 37(1):241-248.]
[7] Zhang Shulan, Yu Pengtao, Wang Yanhui, et al. Estimation of actual evapotranspiration and its component in the upstream of Jinghe basin[J]. Acta Geographica Sinica, 2011, 66(3):385-395.[张淑兰, 于澎涛, 王彦辉, 等. 泾河上游流域实际蒸散量及其各组分的估算[J]. 地理学报, 2011, 66(3):385-395.]
[8] Yan Renhua, Xiong Heigang, Zhang Fang. The evapotranspiration and energy budget of an achnatherum splendens grassland in the oasis-desert ecotone in Xinjiang, China, during summer and autumn[J]. Journal of Desert Research, 2013, 33(1):133-140.[闫人华, 熊黑钢, 张芳. 夏秋季绿洲-荒漠过渡带芨芨草地蒸散及能量平衡特征研究[J]. 中国沙漠, 2013, 33(1):133-140.]
[9] Song Xinbo. Study on estimation of evapotranspiration in Western Taihu area based on MODIS data[D]. Nanjing Normal University, 2013.[宋鑫博. 基于MODIS数据的湖西区地表蒸散发遥感估算[D]. 南京师范大学. 2013.]
[10] Zhang Renhua, Sun Xiaomin, Liu Jiyuan, et al. Determination of regional distribution of crop transpiration and soil water use efficiency using quantitative remote sensing data through inversion[J]. Science in China(Series D:Erath Sciences), 2003, 46(1):10-22.[张仁华, 孙晓敏, 刘纪远, 等. 定量遥感反演作物蒸腾和土壤水分利用率的区域分异[J]. 中国科学(D辑:地球科学), 2001, 31(11):959-968.]
[11] Xu Min, Ye Baisheng, Zhao Qiudong. Estimation of the real evaporation in the source regions of the Yellow River using GRACE satellite data[J]. Journal of Glaciology and Geocryology, 2013, 35(1):138-147.[许民, 叶柏生, 赵求东. 基于GRACE重力卫星数据的黄河源区实际蒸发量估算[J]. 冰川冻土, 2013, 35(1):138-147.]
[12] Zhou Yanzhao, Zhou Jian, Li Yan, et al. Simulating the evapotranspiration with SEBAL and Modified SEBAL(M-SEBAL) models over the desert and oasis of the middle reaches of the Heihe River[J]. Journal of Glaciology and Geocryology, 2014, 36(6):1526-1537.[周彦昭, 周剑, 李妍, 等. 利用SEBAL和改进的SEBAL模型估算黑河中游戈壁、绿洲的蒸散发[J]. 冰川冻土, 2014, 36(6):1526-1537.]
[13] Wu Xuejiao, Zhou Jian, Li Yan, et al. Estimating the evapotranspiration in the middle reaches of the Heihe River by SEBS model based on the eddy covariance system[J]. Journal of Glaciology and Geocryology, 2014, 36(6):1538-1547.[吴雪娇, 周剑, 李妍, 等. 基于涡动相关仪验证的SEBS模型对黑河中游地表蒸散发的估算研究[J]. 冰川冻土, 2014, 36(6):1538-1547.]
[14] Mu Qiaozhen, Heinsch F A, Zhao Maosheng, et al. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J]. Remote Sensing of Environment, 2007, 111(4):519-536.
[15] Mu Qiaozhen, Zhao Maosheng, Running S W. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 2011, 115(8):1781-1800.
[16] Fan Jianzhong, Li Dengke, Gao Maosheng. Spatio-temporal variations of evapotranspiration in Shaanxi Province using MOD16 products[J]. Ecology and Environmental Sciences, 2014, 23(9):1536-1543.[范建忠, 李登科, 高茂盛. 基于MOD16的陕西省蒸散量时空分布特征[J]. 生态环境学报, 2014, 23(9):1536-1543.]
[17] Wei Hejie, Zhang Yanfang, Zhu Ni, et al. Spatial and temporal characteristic of ET in the Weihe River basin based on MOD16 data[J]. Journal of Desert Research, 2015, 35(2):414-422.[位贺杰, 张艳芳, 朱妮, 等. 基于MOD16数据的渭河流域地表ET时空特征[J]. 中国沙漠, 2015, 35(2):414-422.]
[18] He Tian, Shao Quanqin. Spatial-temporal variation of terrestrial evapotranspiration in China from 2001 to 2010 using MOD16 Products[J]. Journal of Geo-Information Science, 2014, 16(6):979-988.[贺添, 邵全琴. 基于MOD16产品的中国2001-2010年蒸散发时空格局变化分析[J]. 地球信息科学, 2014, 16(6):979-988.]
[19] Yang Xiuqin, Wang Guojie, Ye Jinyin, et al. Spatial and temporal changing analysis of terrestrial evapotranspiration in Huai River basin based on GLEAM data[J]. Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE), 2015, 31(9):133-139.[杨秀芹, 王国杰, 叶金印, 等. 基于GLEAM模型的淮河流域地表蒸散量时空变化特征[J]. 农业工程学报, 2013, 31(9):133-139.]
[20] Wei Fengying. Statistics, diagnosis and prediction technology for modern climate[M]. Beijing:China Meteorological Press, 1999:43-45.[魏凤英. 现代气候统计诊断与预测技术[M]. 北京:气象出版社, 1999:43-45.]
[21] Vinukollu R K, Wood E F, Ferguson C R, et al. Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data:Evaluation of three process based approaches[J]. Remote Sensing of Environment, 2011, 115(3):801-823.

基于MOD16产品的淮河流域实际蒸散发时空分布

Spatio-temporal distribution of terrestrial evapotranspiration in Huaihe River basin based on MOD16ET data

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