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MODIS遥感数据辅助的鄱阳湖水体范围变化数值模拟 被引量:8

Hydrodynamic Simulation of Water Extend Change in Poyang Lake with Aid of MODIS Remote Sensing Data
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摘要 针对水体范围高动态变化的鄱阳湖,充分发挥数值模拟和遥感各自的优势,使用从MODIS影像上提取的水体范围初始化鄱阳湖水体范围数值模拟边界和率定模型参数,并与模拟的水体范围结果进行交叉验证分析。对鄱阳湖2001-07-08~11-30水体范围动态变化数值模拟的结果显示,水位模拟平均绝对误差小于15cm,数值模拟获取的水体范围与MODIS无云影像提取的湖泊水体范围具有较高的一致性,水体面积平均相对误差为5.7%。 Taking Poyang Lake as an example,numerical simulation and remote sensing are fully taken advantage of to monitor the water extend change.Water extend extracted from MODIS images is used to initialize numerical simulation boundaries of water body and calibrate simulation parameters,and also used to be compared with the simulated water extend.With this method,the water extend dynamic change of Poyang Lake from July 8,2001 to November 30,2001 is simulated.Results show that the average absolute error of simulated water level is less than 15 cm.Water extend of numerical simulated and extracted from the MODIS cloud-free images have a good agreement,and the average relative error of water area is 5.7%.This study shows that by making use of satellite remote sensing data,precision of water extend hydrodynamic numerical simulation of the Poyang Lake can be increased.This method can make up for the deficiency of water dynamic monitoring by optical remote sensing in bad weather conditions,thus providing a powerful technique support for water environment monitoring of lakes.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2012年第9期1087-1091,共5页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(41101415,41071261) 中央高校基本科研业务费专项资金资助项目(201161902020013) 国家水利部公益性行业科研专项经费资助项目(201001054) 中国博士后科学基金资助项目(20100480861) 测绘遥感信息工程国家重点实验室专项科研经费资助项目 国家863计划资助项目(2012AA120904)
关键词 数值模拟 水体范围 水位 MODIS Delft3D 鄱阳湖 numerical simulation water extend water level MODIS Delft3D Poyang Lake
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  • 1牛沂芳,李才兴,习晓环,德吉央宗.卫星遥感检测高原湖泊水面变化及与气候变化分析[J].干旱区地理,2008,31(2):284-290. 被引量:19
  • 2张永军,吴磊,林立文,赵家平.基于LiDAR数据和航空影像的水体自动提取[J].武汉大学学报(信息科学版),2010,35(8):936-940. 被引量:23
  • 3Townsend P A, Walsh S J. Modeling Floodplain Inundation Using an Integrated GIS with Radar and Optical Remote Sensing[J]. Geomorphology, 1998, 21 .. 295-312.
  • 4Hedger R D, Olsenb N R B, Malthusa T T, et al. Coupling Remote Sensing with Computational Fluid Dynamics Modelling to Estimate Lake Chlorophylla Concentration[J]. Remote Sensing of Environment, 2002,79:116-122.
  • 5Chen Xiaoling, Lu Jianzhong, Cui Tingwei, et al.Coupling Remote Sensing Retrieval with Numerical Simulation for SPM Study.. Taking Bohai Sea in Chi- na as a Case[J]. International Journal of Applied Earth Observation and Geoinformation, 2009, 12.. 203-211.
  • 6Fettweis M, Nechad B, van den Eynde D. An Esti- mate of Suspended Particulate Matter(SPM) Trans- port in the Southern North Sea Using SeaWiFS Ima- ges, In-situ Measurements and Numerical Model Results[J]. Continental Shelf Research, 2007, 27: 1 568-1 583.
  • 7Huete A, Didan K, Miura T, et al. Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices[J]. Remote Sensing of Environment, 2002, 83 .. 195-213.
  • 8齐述华,顾中宇,Daniel Brown,姜鲁光.基于数字高程模型的鄱阳湖淹水范围制图研究[J].武汉大学学报(信息科学版),2010,35(7):857-862. 被引量:11

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