Incorporating remote sensing and geography information system in hydrological modeling of Kaidu Basin, northwest China
文献类型：会议论文
| 作者 | Huang ; Yue1 ; 2 ; Chen ; Xi1 ; Bao ; Anming1 ; Feng ; Xianwei1 |
| 出版日期 | 2009 |
| 会议名称 | 2009 WRI World Congress on Computer Science and Information Engineering, CSIE |
| 会议日期 | 2009 |
| 会议地点 | Los Angeles, CA, United states |
| 关键词 | Hydraulic models - Catchments - Computer science - Forestry - Geographic information systems - Information systems - Input output programs - Land use - Remote sensing - Surveying - Vegetation -Catchment characteristics - Correlation coefficient - Digital elevation model - Distributed hydrological model - Distributed hydrological modeling - GIS - Hydrological modeling - Hydrological models - Input datas - Land surface - Landsat TM data - Large scale hydrological model - Leaf area index - MIKE SHE - MIKE SHE model - Near-real time - NorthWest China - Remote sensing data - River basins - Satellite data - Stream networks - Tarim Basin - Temporal and spatial variation - Time records - Water balance |
| 页码 | 137-142 |
| 中文摘要 | The main obstacles in current distributed hydrological modeling are the lack of sufficient data for driving the models and for parameterization of the land surface and subsurface. This study applied remote sensing (RS) based input data in a hydrological model for the 19012 km2 Kaidu River basin in Northwest China. Based on the geography information system (GIS) technique, the digital elevation model (DEM) of the study basin was successfully used to delineate the stream network and extract information of catchment characteristics. Landsat TM data from 1990 to 2001 have been utilized for various scale depended maps of land use and vegetation, and leaf area index (LAI) from MODIS data is used as input data to the distributed hydrological modeling. Further, root depths of annual vegetation are related to the temporal and spatial variation of LAI. The distributed hydrological model MIKE SHE was calibrated and validated against observed discharge for tow individual gauges during the period from 1998 to 2001. The model generally performed well for effective coefficient (R2), water balance error (RE) and correlation coefficient (r). It is shown that a well-calibrated MIKE SHE model with five "free" parameters is able to produce consistent results with correlation coefficients greater than 0.75. The potential for driving large scale hydrological models using remote sensing data was clearly demonstrated and further emphasized by the presence of long time records and near real time accessibility of the satellite data sources. © 2008 IEEE. (15 refs.) |
| 收录类别 | EI |
| 会议录 | 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009
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| ISBN号 | 13: 9780769535074 |
| 源URL | [http://ir.xjlas.org/handle/365004/10832]  |
| 专题 | 新疆生态与地理研究所_中国科学院新疆生态与地理研究所(2010年以前数据) |
| 推荐引用方式 GB/T 7714 | Huang,Yue1,2,et al. Incorporating remote sensing and geography information system in hydrological modeling of Kaidu Basin, northwest China[C]. 见:2009 WRI World Congress on Computer Science and Information Engineering, CSIE. Los Angeles, CA, United states. 2009. |
入库方式： OAI收割
来源：新疆生态与地理研究所
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