基于遥感和SEBAL模型的塔里木河干流区蒸散发估算

doi:10.11821/xb201109008

地理学报 ›› 2011, Vol. 66 ›› Issue (9): 1230-1238.doi: 10.11821/xb201109008

基于遥感和SEBAL模型的塔里木河干流区蒸散发估算

李宝富^1,2, 陈亚宁¹, 李卫红¹, 曹志超^1,2

1. 中国科学院新疆生态与地理研究所荒漠与绿洲生态国家重点实验室, 乌鲁木齐 830011;
2. 中国科学院研究生院, 北京 100049

收稿日期:2011-05-16 修回日期:2011-06-29 出版日期:2011-09-20 发布日期:2011-11-04
通讯作者: 陈亚宁(1958-), 男, 研究员, 博士生导师, 中国地理学会会员(S110004398M), 主要从事干旱区生态水文过程研究。E-mail: chenyn@ms.xjb.ac.cn E-mail:chenyn@ms.xjb.ac.cn
作者简介:李宝富(1983-), 男, 山东临沂人, 博士研究生, 主要从事遥感应用与生态水文研究。E-mail: lbf0102@sohu.com
基金资助:
国家重点基础研究发展计划(973 计划) 项目(2010CB951003);国家自然科学基金项目(40871059 和40901061)

Remote Sensing and the SEBAL Model for Estimating Evapotranspiration in the Tarim River

LI Baofu^1,2, CHEN Yaning¹, LIWeihong¹, CAO Zhichao^1,2

1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China

Received:2011-05-16 Revised:2011-06-29 Online:2011-09-20 Published:2011-11-04
Supported by:
National Basic Research Program of China (973 Program), No.2010CB951003;National Natural Science Foundation of China, No.40871059,40901061

摘要/Abstract

摘要： 运用1985 年、2000 年和2010 年遥感资料与SEBAL 模型估算了塔里木河干流区蒸散发。结果表明：该区蒸散发量较大,介于0~5.11 mm/d之间;靠近河道区蒸散发明显大于远离河道区;各土地利用/覆被类型蒸散发大小依次为：水体> 耕地> 林地> 草地> 未利用地> 居工地,主要与其植被覆盖度和水分供给条件有关;而日总蒸散发大小顺序为：草地> 未利用地> 耕地> 林地> 水体> 居工地,这与各土地利用/覆被类型面积密切相关。在1985-2010 年间,塔里木河干流区日总蒸散发量先减小后增大;上游平均日总蒸散发量为中游和下游的1.27 倍和1.42 倍。2000 年塔里木河干流区日总蒸散发比1985 年减少了6.80×10⁴ m³,原因是中游和下游日总蒸散发减小,而上游日总蒸散发量却增加了3.02×10⁵ m³。2010 年干流区日总蒸散发比2000 年高6.78×10⁵ m³,其中上游和中游日总蒸散发量增加了1.19×10⁶ m³,而下游却降低了5.16×10⁵ m³,主要受中上游地区绿洲耕地面积扩张,水资源开发量过大,下游来水量减少的影响。

关键词: 遥感, SEBAL, 蒸散发, 塔里木河

Abstract: The paper estimates evapotranspiration of the mainstream by using remote sensing data in 1985, 2000, and 2010 respectively and SEBAL model in the mainstream of Tarim River. The results show that evapotranspiration in the area ranges from 0 to 5.11 mm /d; the evapotranspiration of the area close to the river was significantly higher than the area away from the river; the land use types asSociated with evapotranspiration are listed in the order of water bodies > farmland > woodland > grassland > unused land > home-work sites, which is mainly related to its vegetation coverage and water supply; the total daily evapotranspiration islisted in the order of grassland > unused land > farmland > forestland > water bodies > home-work sites, which are closely related to the land use types. During 1985-2010, the total daily evapotranspiration in the Tarim River basin decreased firstly and then increased; the average total daily evapotranspiration in the upstream is 1.27 times that of the middle-stream and is 1.42 times that of the lower-stream. The total evapotranspiration in the Tarim River basin in 2000 decreased by 6.80×10⁴ m³ compared with in 1985, because the total daily evapotranspiration in the middle and lower reaches decreased while the upper reaches increased by 3.02×10⁵ m³. The total daily evapotranspiration in the mainstream of the river in 2010 is 6.78×10⁵ m³ higher than that in 2000, with the upper and middle reaches up by 1.19×10⁶ m³ and the lower reach down by 5.16 × 10⁵ m³, which is mainly due to the fact that rapid expansion of cultivated land and excessive exploitation of water resources in the middle and upper reaches resulted from water decrease in the downstream.

Key words: remote sensing, SEBAL, evapotranspiration, Tarim River

李宝富, 陈亚宁, 李卫红, 曹志超. 基于遥感和SEBAL模型的塔里木河干流区蒸散发估算[J]. 地理学报, 2011, 66(9): 1230-1238.

LI Baofu, CHEN Yaning, LIWeihong, CAO Zhichao. Remote Sensing and the SEBAL Model for Estimating Evapotranspiration in the Tarim River[J]. Acta Geographica Sinica, 2011, 66(9): 1230-1238.

参考文献

[1] Jiang Le, Islam Shafiqul, Guo Wei et al. A satellite-based daily actual evapotranspiration estimation algorithm over SouthFlorida. Global and Planetary Change, 2009, 67(1/2): 62-77.

[2] Choudhury B J, DiGirolamo N E. A biophysical process-based estimate of global land surface evaporation using satelliteand ancillary data: I. Model description and comparison with observations. Journal of Hydrology, 1998, 205(3/4): 164-185.

[3] Bastiaanssen W G M, Molden D J, Makin I W. Remote sensing for irrigated agriculture: Examples from research andpossible applications. AgriculturalWater Management, 2000, 46(2): 137-155.

[4] Chen Zhongsheng, Chen Yaning, Xu Changchun. Change trend and prediction of annual runoff in mainstream area of theTarim River in recent 50 years. Arid Land Geography, 2011, 34(1): 43-51. [陈忠升, 陈亚宁, 徐长春. 近50a 来塔里木河干流年径流量变化趋势及预测. 干旱区地理, 2011, 34(1): 43-51.]

[5] Chen Yaning, Li Weihong, Chen Yapeng et al. Water conveyance in dried-up river way and ecological restoration in thelower reaches of Tarim River, China. Acta Ecologica Sinica, 2007, 27(2): 538-545. [陈亚宁, 李卫红, 陈亚鹏等. 新疆塔里木河下游断流河道输水与生态修复. 生态学报, 2007, 27(2): 538-545.]

[6] Li Fapeng, Xu Zongxue, Li Jingyu. Characteristics of the spatial and temporal distribution for regional evapotranspirationin the Yellow River Delta based on MODIS data. Transactions of the CSAE, 2009, 25(2): 113-120. [李发鹏, 徐宗学, 李景玉. 基于MODIS数据的黄河三角洲区域蒸散发量时空分布特征. 农业工程学报, 2009, 25(2): 113-120.]

[7] Du Jia, Zhang Bai, Song Kaishan.et al. Estimation of evapotranspiration for typical ecosystems in the Bielahong RiverBasin based on SEBAL. Resources Science, 2009, 31(10): 1755-1763. [杜嘉, 张柏, 宋开山等. 基于SEBAL 模型的别拉洪河流域典型生态系统蒸散量估算. 资源科学, 2009, 31(10): 1755-1763.]

[8] Yang Yongmin, Feng Zhaodong, Zhou Jian. Evapotranspiration in heihe river basin based on SEBS model. Journal ofLanzhou University: Natural Sciences, 2008, 44(5): 1-6. [杨永民, 冯兆东, 周剑. 基于SEBS模型的黑河流域蒸散发. 兰州大学学报: 自然科学版, 2008, 44(5): 1-6.]

[9] Han Songjun, Hu Heping, Yang Dawen et al. Differences in changes of potential evaporation in the mountainous and oasisregions of the Tarim Basin, Northwest China. Science in China: Series E, 2009, 52(7): 1981-1989. [韩松俊, 胡和平, 杨大文等. 塔里木河流域山区和绿洲潜在蒸散发的不同变化及影响因素. 中国科学: E辑, 2009, 39(8): 1375-1383.]

[10] Zhao Liwen, Ji Xibin. Quantification of transpiration and evaporation over agricultural field using the FAO-56 dual cropcoefficient approach: A case study of the maize field in an oasis in the middle stream of the Heihe River Basin inNorthwest China. Scientia Agricultura Sinica, 2010, 43(19): 4016-4026. [赵丽雯, 吉喜斌. 基于FAO-56 双作物系数法估算农田作物蒸腾和土壤蒸发研究: 以西北干旱区黑河流域中游绿洲农田为例. 中国农业科学, 2010, 43(19):4016-4026.]

[11] Wang J, Sammis T W, Gutschick V P et al. Sensitivity analysis of the surface energy balance algorithm for land (Sebal) .Transactions of the ASABE, 2009, 52(3): 801-811.

[12] Teixeira A H D C, Bastiaanssen W G M, Ahmad M D et al. Reviewing SEBAL input parameters for assessingevapotranspiration and water productivity for the low-middle Sao Francisco River Basin, Brazil Part A: Calibration andvalidation. Agricultural and Forest Meteorology, 2009, 149(3/4): 462-476.

[13] Wu C D, Cheng C C, Lo H C et al. Application of SEBAL and Markov models for future stream flow simulation throughremote sensing.Water Resources Management, 2010, 24(14): 3773-3797.

[14] Wang J, Bastiaanssen W G M, Ma Y et al. Aggregation of land surface parameters in the oasis-desert systems ofnorth-west China. Hydrological Processes, 1998, 12(13/14): 2133-2147.

[15] Bastiaanssen W G M. The use of remote sensing to improve irrigation water management in developing countries.Operational Remote Sensing for Sustainable Development, 1999: 3-17.

[16] Chen Yunhao, Li Xiaobing, Shi Peijun. Regional evapotranspiration estimation over Northwest China using remotesensing. Acta Geographica Sinica, 2001, 56(3): 261-268. [陈云浩, 李晓兵, 史培军. 中国西北地区蒸发散量计算的遥感研究. 地理学报, 2001, 56(3): 261-268.]

[17] Brunal J P. Estimation of sensible heat fiux from measurement of surface temperature and air temperature at two meters:Application to detemine actural evaporation rate. Agric. Forest Meteo., 1989, 46: 179-191.

[18] Jensen M E, Burman R D, GAllen R. Evapotranspiration and Irrigation water equirements. ASCE Manuals and RePortsonEngineering Praetiee No.70, NY, 1990.

[19] Li S B, Zhao W Z. Satellite-based actual evapotranspiration estimation in the middle reach of the Heihe River Basin usingthe SEBAL method. Hydrological Processes, 2010, 24(23): 3337-3344.

[20] Liu Zhiwu, Lei Zhidong, Dang Anrong et al. Remote sensing and the SEBAL model for estimating evapotranspiration inarid regions. Journal of Tsinghua University: Sci & Tech, 2004, 44(3): 421-424. [刘志武, 雷志栋, 党安荣等. 遥感技术和SEBAL模型在干旱区蒸散发估算中的应用. 清华大学学报: 自然科学版, 2004, 44(3): 421-424.]

基于遥感和SEBAL模型的塔里木河干流区蒸散发估算

Remote Sensing and the SEBAL Model for Estimating Evapotranspiration in the Tarim River

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