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Estimation Of ET Based On Reconstructed Atmospheric Conditions And Remotely Sensed Information Over Last Chance Creek Watershed, Feather River Basin, California

机译:基于重建的大气条件和遥感信息对最后一次机会溪流道,羽毛河流域,加利福尼亚州的估算

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The restoration of meadow land using the pond and plug technique of gully elimination was performed in nine-mile segments along Last Chance Creek, Feather River Basin, California. In order to assess the impact of these restoration activities on water balance, it is crucial to estimate ET in a sparsely gauged watershed like Last Chance Creek watershed. As this watershed is covered mostly by pasture, shrub, riparian vegetation, and forest, it is difficult to apply the common ET estimation methods for croplands. In this presentation, a procedure to estimate ET from naturally vegetated land based on reconstructed atmospheric data and remote sensed information will be discussed. The ET from natural vegetation is mainly dictated by three factors: atmospheric conditions, vegetation conditions, and soil water conditions. The atmospheric conditions were reconstructed using a hydrodynamic atmospheric model. The vegetation pattern information, obtained by local survey, which may be at the best spatial resolution available, was combined with the satellite remote sensed data from MODIS (MOD15 and MYD15) in order to construct spatially and temporally varied LAI maps for the watershed. Using LAI and surface roughness height, the potential ET, based upon the reconstructed atmospheric conditions, was adjusted for every vegetation type. The soil water condition was estimated using a spatially averaged soil water flow model in which the soil heterogeneity at the subgrid scale was explicitly parameterized. It is shown that the ET over natural vegetation during the historical critical dry and wet period (1982- 1993) in the watershed was successfully estimated and incorporated into the assessment.
机译:使用池塘消除池塘和插头技术的草地土地的恢复是在沿着最后一次机会溪,羽毛河流域,加利福尼亚州的九英里段进行。为了评估这些恢复活动对水平衡的影响,至关重要,估算et等稀少机会溪流道。由于这个流域主要由牧场,灌木,河岸植被和森林覆盖,因此很难应用农田的共同ET估算方法。在本演示文献中,将讨论基于重建的大气数据和远程感测信息的基于重建的大气数据和远程感测信息来估算等的程序。来自天然植物的et主要是三种因素:大气条件,植被条件和土壤水条件。使用流体动力学大气模型重建大气条件。通过本地调查获得的植被模式信息,可以处于可用的最佳空间分辨率,与MODIS(MOD15和MYD15)的卫星遥感数据相结合,以便在空间和时间上变化的流域地图。使用LAI和表面粗糙度高度,基于重建的大气条件的潜在等量针对每种植被类型进行调整。利用空间平均土水流模型估计土壤水状况,其中亚底规模的土壤异质性明确参数化。结果表明,流域历史关键干燥和潮湿时期(1982-1993)的et over植被成功估计并纳入评估。

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