水文资料缺乏区河流流量遥感估算模型研究
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  • 英文篇名:Research of river discharge estimation model based on remote sensing in lack of hydrological data area
  • 作者:马津 ; 卢善龙 ; 齐建国 ; 翟召坤
  • 英文作者:MA Jin;LU Shanlong;QI Jianguo;ZHAI Zhaokun;College of Information Science and Engineering,Shandong Agricultural University;Key Laboratory of Digtial Earth Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;National Geomatics Center of China;
  • 关键词:河川径流 ; 河流宽度 ; Landsat TM/ETM+/OLI ; 遥感 ; 黑河中游
  • 英文关键词:river discharge;;river width;;Landsat TM/ETM +/OLI;;remote sensing;;middle reaches of Heihe River
  • 中文刊名:CHKD
  • 英文刊名:Science of Surveying and Mapping
  • 机构:山东农业大学信息科学与工程学院;中国科学院遥感与数字地球研究所数字地球重点实验室;国家基础地理信息中心;
  • 出版日期:2019-01-24 10:33
  • 出版单位:测绘科学
  • 年:2019
  • 期:v.44;No.251
  • 基金:国家重点研发计划水资源高效开发利用专项(2017YFC0405802);国家重点研发计划典型脆弱生态修复与保护研究专项(2016YFC0503507-03);; 国家自然科学基金重大研究计划重点支持项目(91637209)
  • 语种:中文;
  • 页:CHKD201905028
  • 页数:7
  • CN:05
  • ISSN:11-4415/P
  • 分类号:188-194
摘要
针对偏远地区河流上无水文站点,缺乏河川径流量监测数据的问题,该文以黑河中游地区为例,利用2005—2010年夏、秋两季的Landsat TM/ETM+/OLI影像,提取黑河中游S213桥断面的河水边界及河流宽度,结合已有的断面流量数据,通过建立宽度-流量曲线得到河流流量估测模型,模型估测和实测径流量具有较好的一致性(R2=0.82)。该文同时对河宽提取误差进行精度验证,结果表明提取误差对模型的影响较小(R2在0.81~0.83,绝对误差<2%)。为了证明模型的外推性,该文将模型应用于S213桥断面2011—2015年和高崖断面2005—2014年的流量估测,结果表明,两个断面的模拟结果与实测数据均具有较高相关性。综上结果表明,该文的河川径流遥感估算方法具有较好的精度和外推适用性。
        Aiming at the problem of lacking gauging stations and runoff data in the rivers located in some remote area,a discharge-width rating curve model for runoff calculation was proposed by taking the middle reaches of Heihe River as case study area,with the summer and autumn images of Landsat TM/ETM +/OLI in the period of 2005 to 2010 as basic data.The calculation results obtained in S213 Bridge section were closed related with the measured data(R2= 0.82).And the river width extraction accuracy assessment results showed that the extraction error had less influence on the model(R2 is range from 0.81 and 0.83,absolute error <2%).To verify the extrapolation suitability of this model,the model was further applied to S213 Bridge section in 2011—2015 and Gaoya section in 2005—2014,respectively.The results showed that the simulation results of the model at both sections are highly correlated with the measured data.It indicated that the remote sensing estimation method introduced in this study had good accuracy and extrapolation applicability.
引文
[1]ALSDORF D E,RODRIGUEZ E,LETTENMAIER D P.Measuring surface water from space[J].Reviews of Geophysics,2007,45(2):RG2002.
    [2]CALMANT S,SEYLER F,CRETAUX J F.Monitoring continental surface waters by satellite altimetry[J].Surveys in Geophysics,2008,29(4/5):247-269.
    [3]CRETAUX J F,BIRKETT C.Lake studies from satellite radar altimetry[J].Comptes Rendus Geoscience,2006,338(14/15):1098-1112.
    [4]SNEEUW N,LORENZ C,DEVARAJU B,et al.Estimating runoff using hydro-geodetic approaches[J].Surveys in Geophysics,2014,35(6):1333-1359.
    [5]FRAPPART F,PAPA F,FAMIGLIETTI J S,et al.Interannual variations of river water storage from a multiple satellite approach:a case study for the Rio Negro River basin[J].Journal of Geophysical Research Atmospheres,2008,113(21):D21104.
    [6]FEKETE B M,VOROSMARTY C J.The current status of global river discharge monitoring and potential new technologies complementing traditional discharge measurements[C]∥Proceedings of the PUB Kick-off meeting held in Brasilia,20-22 November 2002,Wallingford,UK:IAHS Press,2007.
    [7]黄粤,陈曦,包安明,等.干旱区资料稀缺流域日径流过程模拟[J].水科学进展,2009,20(3):332-336.(HUANG Yue,CHEN Xi,BAO Anming,et al.Daily flow modeling in arid ungauged basin[J].Advances in Water Science,2009,20(3):332-336.)
    [8]BRAKENRIDGE G R,NGHIEM S V,ANDERSON E,et al.Space-based measurement of river runoff[J].Eos Transactions American Geophysical Union,2013,86(19):185-188.
    [9]ALSDORF D E,LETTENMAIER D P.Geophysics tracking fresh water from space[J].Science,2003,301(5639):1491-4.
    [10]LU S L,WU B F,YAN N,et al.Progress in river runoff monitoring by remote sensing[J].Advances in Earth Science,2010,25(8):820-826.
    [11]ROUX H,DARTUS D.Use of parameter optimization to estimate a flood wave:potential applications to remote sensing of rivers[J].Journal of Hydrology,2006,328(1/2):258-266.
    [12]SMITH L C,PAVELSKY T M.Estimation of river discharge,propagation speed,and hydraulic geometry from space:Lena River,Siberia[J].Water Resources Research,2008,44(3):173-175.
    [13]WOLDEMICHAEL A T,DEGU A M,Siddique-EAkbor A H M,et al.Role of land-water classification and Manning’s roughness parameter in space-borne estimation of discharge for braided rivers:a case study of the brahmaputra river in Bangladesh[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2010,3(3):395-403.
    [14]LEOPOLD L B,MADDOCK R T.The hydraulic geometry of stream channels and some physiographic implications[J].Usgs Professional Paper,1953:252.
    [15]FERGUSON R,ASHWORTH P.Slope-induced changes in channel character along agravel-bed stream:the Allt Dubhaig,Scotland[J].Earth Surface Processes &Landforms,1991,16(1):65-82.
    [16]TARPANELLI A,BROCCA L,LACAVA T,et al.Toward the estimation of river discharge variations using MODIS data in ungauged basins[J].Remote Sensing of Environment,2013,136(5):47-55.
    [17]VACHTMAN D,LARONNE J B.Remotely sensed estimation of water discharge into the rapidly dwindling Dead Sea[J].Hydrological Sciences Journal,2014,59(8):1593-1605.
    [18]ELMI O,TOURIAN M J,SNEEUW N.River discharge estimation using channel width from satellite imagery[C]//Geoscience and Remote Sensing Symposium.[S.l.]:IEEE,2015:727-730.
    [19]KUMAR B.Evaluation of satellite-altimetry-derived river stage variation for the braided Brahmaputra River[J].International Journal of Remote Sensing,2014,35(23):7815-7827.
    [20]JUNG H C,HAMSKI J,Durand M,et al.Characterization of complex fluvial systems using remote sensing of spatial and temporal water level variations in the Amazon,Congo,and Brahmaputra Rivers[J].Earth Surface Processes &Landforms,2010,35(3):294-304.
    [21]PAN F,WANG C,XI X.Constructing river stage-discharge rating curves using remotely sensed river crosssectional inundation areas and river bathymetry[J].Journal of Hydrology,2016,540:670-687.
    [22]程建忠.黑河中游径流变化规律分析及趋势预测[J].甘肃水利水电技术,2016,52(2):6-9,22.(CHENG Jianzhong.Analysis and trend prediction of runoff in middle reaches of Heihe River[J].Gansu Water Resources and Hydropower Technology,2016,(2):6-9,22.)
    [23]徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.(XU Hanqiu.A study on information extraction of water body with the modified normalized difference water index(MNDWI)[J].Journal of Remote Sensing,2005,9(5):589-595.)
    [24]刘双,谢正辉,曾毓金.基于神经网络与半分布式水文模型相结合的缺资料区径流估计模型:以莺落峡流域为例[J].北京师范大学学报(自然科学版),2016,52(3):393-401.(LIU Shuang,XIE Zhenghui,ZENG Yujin.Estimation of streamflow in ungauged basins using a combined model of black-box model and semidistributed model:case study in the Yingluoxia watershed[J].Journal of Beijing Normal University(Natural Science),2016,52(3):393-401.)
    [25]聂振龙,陈宗宇,程旭学,等.黑河干流浅层地下水与地表水相互转化的水化学特征[J].吉林大学学报(地球科学版),2005,35(1):48-53.(NIE Zhenlong,CHEN Zongyu,CHENG Xuxue,et al.The chemical information of the interaction of unconfined groundwater and surface water along the Heihe River,northwestern China[J].Journal of Jilin University(Earth Science Edition),2005,35(1):48-53.)
    [26]丁宏伟,张举.河西走廊地下水水化学特征及其演化规律[J].干旱区研究,2005,22(1):24-28.(DING Hongwei,ZHANG Ju.Goechemical properties and evolution of groundwater beneath the Hexi Coeeidor,Gansu province[J].Arid Zone Research,2005,22(1):24-28.)

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