Grid-size effects on estimation of evapotranspiration and gross primary production over a large Loess Plateau basin, China
文献类型：EI期刊论文
| 作者 | Liu Suxia; Lin Zhonghui; Mo Xingguo |
| 发表日期 | 2009 |
| 关键词 | Evapotranspiration Forestry Geomorphology Hydraulic models Precipitation (meteorology) Regression analysis Soils Solute transport Vegetation Water supply |
| 英文摘要 | A distributed eco-hydrological model based on soil - vegetation - atmosphere transfer processes is applied to estimate actual evapotranspiration (ET) and gross primary production (GPP) over the Wuding River basin, Loess Plateau, China, based on digital elevation model, vegetation and soil information between 2000 and 2003 over three grid sizes: 250 m, 1 km and 8 km. The spatial patterns of annual ET and GPP are related to precipitation variability and land-use/cover conditions. The grid size is shown to affect the spatial patterns of annual ET and GPP, the effect on GPP being more significant than that on ET. Geostatistical and regression analyses demonstrate that precipitation and vegetation influence the scaling effect of ET and GPP in a complex way. When precipitation is high, the scaling effect of ET is more dependent on precipitation. The scaling effect of ET and GPP from 1-km to 8-km grid size is much larger than that from 250-m to 1-km grid size, showing the 1-km grid size to be a feasible choice for simulation of their spatial patterns. Although the annual GPP is more sensitive to the grid size than annual ET, both daily ET and daily GPP averaged over the whole basin seem to be insensitive to the grid size, illustrating that the coarse grid size can be used to simulate spatially-averaged variables without losing much accuracy. Copyright © 2009 IAHS Press. |
| 出处 | Hydrological Sciences Journal
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| 卷 | 54期:1页:160-173 |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/24682]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Liu Suxia,Lin Zhonghui,Mo Xingguo. Grid-size effects on estimation of evapotranspiration and gross primary production over a large Loess Plateau basin, China. 2009. |
入库方式： OAI收割
来源：地理科学与资源研究所
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