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首页> 外文期刊>Hydrological Processes >Snow water equivalent estimation in the Mallero basin using snow gauge data and MODIS images and fieldwork validation
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Snow water equivalent estimation in the Mallero basin using snow gauge data and MODIS images and fieldwork validation

机译:利用雪量计数据和MODIS图像以及野外作业验证,在Mallero盆地进行雪水当量估算

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摘要

Snow accumulation and ablation rule the temporal dynamics of water availability in mountain areas and cold regions. In these environments, the evaluation of the snow water amount is a key issue. The spatial distribution of snow water equivalent (SWE) over a mountain basin at the end of the snow accumulation season is estimated using a minimal statistical model (SWE-SEM). This uses systematic observations such as ground measurements collected at snow gauges and snow-covered area (SCA) data retrieved by remote sensors, here MODIS. Firstly, SWE-SEM calculates local SWE estimates at snow gauges, then the spatial distribution of SWE over a certain area using an interpolation method; linear regressions of the first two order moments of SWE with altitude. The interpolation has been made by both confining and unconfining the spatial domain by SCA. SWE-SEM is applied to the Mallero basin (northern Italy) for calculating the snow water equivalent at the end of the winter season for 6 years (2001-2007). For 2007, SWE-SEM estimates are validated through fieldwork measurements collected during an 'ad hoc' campaign on March 31, 2007. Snow-surveyed measurements are used to check SCA, snow density and SWE estimates.
机译:雪的积聚和消融控制着山区和寒冷地区的可用水的时间动态。在这些环境中,雪水量的评估是一个关键问题。使用最小统计模型(SWE-SEM)估算积雪季节结束时山区流域的雪水当量(SWE)的空间分布。这使用了系统化的观测,例如在雪位计上收集的地面测量数据以及通过遥感器(此处为MODIS)检索到的积雪面积(SCA)数据。首先,SWE-SEM计算雪域上的局部SWE估计值,然后使用插值法计算特定区域SWE的空间分布; SWE的前两个阶矩随高度的线性回归。通过使用SCA限制和取消限制空间域来进行插值。 SWE-SEM被应用于意大利北部的马勒罗盆地,以计算6年(2001-2007年)冬季结束时的雪水当量。对于2007年,SWE-SEM估计值是通过2007年3月31日的“临时”战役期间收集的实地测量数据进行验证的。雪地测量数据用于检查SCA,雪密度和SWE估计值。

著录项

  • 来源
    《Hydrological Processes 》 |2009年第14期| 1961-1972| 共12页
  • 作者单位

    Department of Hydraulic, Environmental, Roads and Surveying Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32 1-20133 Milano, Italy Land Management and Natural Hazards Unit, Institute for Environment and Sustainability, DG Joint Research Centre, European Commission, Ispra, Italy;

    Department of Hydraulic, Environmental, Roads and Surveying Engineering, Politecnico di Milano, Piazza Leonardo da Vinci, 32 1-20133 Milano, Italy Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    snow water equivalent; estimation; validation; fieldwork; minimal model;

    机译:雪水当量;估计验证;实习;最小模型;

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