基于MOD16数据的渭河流域地表实际蒸散发时空特征

doi:10.7522/j.issn.1000-694X.2014.00042

摘要/Abstract

摘要：

基于流域水量平衡法,利用水文数据和气象数据对渭河流域MOD16-ET(实际蒸散发)数据进行精度验证; 利用2000-2012年MOD16-ET数据和GIS技术定量分析了渭河流域(分为干流、泾河、北洛河3个子流域)地表实际蒸散发年际和年内的时空变化特征。结果表明:(1) 3个子流域的实测降水空间插值结果与MOD16-ET估算结果比较,相对误差平均值为8.36%,渭河干流误差较小,其他2个子流域误差相对较大; (2) 3个子流域上游至下游的ET剖面线变化不同,明显受地表覆盖类型影响; (3) ET值年内分布大致呈单峰型格局,季节变化特征为夏季(177.14 mm)> 秋季(105.22 mm)> 春季(92.97 mm)> 冬季(77.50 mm); (4) 基于栅格尺度的ET值年际变化特征空间分布,各子流域下游以降低趋势为主,渭河中游和上游以升高趋势为主,北洛河、泾河中游和上游以基本不变趋势为主,具体影响因素的定量分析仍需MODIS资料的时间累积。

关键词: MOD16, 渭河流域, 地表蒸散发, 时空变化

Abstract:

Based on the water balance model in the Weihe River basin, this paper versified the accuracy of MOD16-ET by using hydrological and meteorological data. Under the support of GIS technology, this paper studied the spatial and temporal characteristics of ET in the Weihe River basin during 2000-2012. The findings are as follows: (1)The average relative error was 8.36% between spatial interpolation results based on measured rainfall and estimates based on MOD16-ET. The error was smaller in the mainstream basin of Weihe River, while it was relatively larger in other sub-catchments of the Weihe River basin. (2)The profile lines of ET showed different changes from upstream to downstream in the sub-catchments of the Weihe River basin, which apparently affected by the land cover type. (3)The monthly variation of ET roughly showed a unimodal pattern. The seasonal variation of ET showed that the maximum value was in summer (177.14 mm), then autumn (105.22 mm), spring (92.97 mm), winter (77.50 mm). (4)The spatial distribution of annual variation of ET showed different characteristic in the scale of grid. The ET mainly showed a increasing trend in the downstream at each sub-catchment, while it mainly showed a decreasing trend in the midstream and upstream basin of Weihe River and basically unchanged trend in the midstream and upstream basin of the Beiluohe River and the Jinghe River. Quantitative analysis of specific factors still needed the accumulation of MODIS data.

Key words: MOD16, Weihe River Basin, ET, spatiotemporal variation

中图分类号:

P426.2

位贺杰, 张艳芳, 朱妮, 王鹏涛, 喻元. 基于MOD16数据的渭河流域地表实际蒸散发时空特征[J]. 中国沙漠, 2015, 35(2): 414-422.

Wei Hejie, Zhang Yanfang, Zhu Ni, Wang Pengtao, Yu Yuan. 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.

参考文献

[1] 丛振涛,杨大文,倪广恒.蒸发原理与应用[M].北京:科学出版社,2013.
[2] Chahine M T.The hydrological cycle and its influence on climate[J].Nature,1996,359(6349):373-380.
[3] 赵军,刘春雨,潘竟虎,等.基于MODIS数据的甘南草原区域蒸散发量时空格局分析[J].资源科学,2011,33(2):341-346.
[4] 莫兴国,刘苏峡,林忠辉,等.华北平原蒸散和GPP格局及其对气候波动的响应[J].地理学报,2011,66(5):589-598.
[5] Kalma J D,Mcvicar T R,Mccabe M F.Estimating land surface evaporation:a review of methods using remotely sensed surface temperature data[J].Surveys in Geophysics,2008,29(4):421-469.
[6] 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.
[7] 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):133-145.
[8] 曾丽红,宋开山,张柏,等.2000年至2008年松嫩平原生长季蒸散量时空格局及影响因素分析[J].资源科学,2010,32(12):2305-2315.
[9] 张堂堂,文军,李振朝,等.基于微波遥感参数估算区域蒸散发的方法研究[J].高原气象,2013,32(6):1651-1657.
[10] Morn M.Combining the Penman-Monteith equation with measurements of surface temperature and reflectance to estimate evaporation rates of semiarid grassland[J].Agricultural and Forest Meteorology,1996,80(24):87-109.
[11] Jiang L,Islam S.A methodology for estimation of surface evapotranspiration over large areas using remote sensing observations[J].Geophysical Research Letters,1999,26(17):2773-2776.
[12] Bastiaanssen W.A remote sensing surface energy balance algorithm for land[J].Journal of Hydrology,1998,212:198-212.
[13] Su Z.An evaluation of two models for estimation of the roughness height for heat transfer between the land surface and atmosphere[J].Journal of Applied Meteorology,2001,40(11):1933-1951.
[14] Kustas W P,Norman J M.Evaluation of soil and vegetation heat flux predictions using a simple two source model with radiometric temperature for partial canopy cover[J].Agricultural and Forest Meteorology,1999,94(1):13-29.
[15] 张荣华,杜君平,孙睿.区域蒸散发遥感估算方法及验证综述[J].地球科学进展,2012,27(12):1295-1307.
[16] 吴桂平,刘元波,赵晓松.基于MOD16产品的鄱阳湖流域地表蒸散量时空分布特征[J].地理研究,2013,32(4):617-627.
[17] Mu Q Z,Heinsch F A,Zhao M S,et al.Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J].Remote Sensing of Environment,2007,111:519-536.
[18] Mu Q Z,Zhao M S,Running S W.Improvements to a MODIS global terrestrial evapotranspiration algorithm[J].Remote Sensing of Environment,2011,115:1781-1800.
[19] 占车生,乔晨,徐宗学,等.渭河流域近50年来气候变化趋势及突变分析[J].北京师范大学学报(自然科学版),2012,48(4):399-405.
[20] 张宏利,陈豫,任广鑫,等.近50年来渭河流域降水变化特征分析[J].干旱地区农业研究,2008,26(4):236-241.
[21] 侯钦磊,白红英,任园园,等.50年来渭河干流径流变化及其驱动力分析[J].资源科学,2011,33(8):1505-1512.
[22] 左德鹏,徐宗学,隋彩虹,等.气候变化和人类活动对渭河流域径流的影响[J].北京师范大学学报(自然科学版),2013,49(2):115-123.
[23] 蒋冲,王文丽,陈爱芳,等.近52年渭河流域气候变化对植被净第一性生产力的影响[J].中国沙漠,2013,33(3):952-957.
[24] 左德鹏,徐宗学,程磊,等.渭河流域潜在蒸散量时空变化及其突变特征[J].资源科学,2011,33(5):975-982.
[25] 王玉娟,王树东,宋文龙,等.GLDAS 数据产品在渭河流域潜在蒸散发模拟中的应用研究[J].干旱区资源与环境,2013,27(12):53-58.
[26] 渭河流域近期重点治理规划编制组.渭河流域近期重点治理规划[R].北京:中华人民共和国水利部,2003.
[27] Masutomi Y,Inui Y,Takahashi K et al.Development of highly accurate global polygonal drainage basin data[J].Hydrological Processes,2009,23:572-584.
[28] Stow D,Daeschner S,Hope A et al.Variability of the seasonally integrated normalized difference vegetation index across the north slope of Alaska in the 1990s[J].International Journal of Remote Sensing,2003,24(5):1111-1117.
[29] 马明国,王建,王雪梅.基于遥感的植被年际变化及其与气候关系研究进展[J].遥感学报,2006,10(3):421-431.
[30] 徐建华.现代地理学中的数学方法[M].北京:高等教育出版社,2002.
[31] 霍世青,蒋昕晖,赵元春,等.2003年渭河秋汛暴雨洪水特性分析[J].水文,2004,24(5):58-61.
[32] 张蓉珍,张幸.渭河流域陕西段近50年生态环境演变[J].干旱区资源与环境,2008,22(2):37-42.