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Remote sensing of volumetric storage changes in lakes

机译:遥感湖泊中的体积存储变化

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摘要

Three-dimensional remote sensing promises a giant leap forward for surface-water hydrology in much the same way that radar altimetry transformed physical oceanography. However, the complex geometries of small terrestrial water bodies introduce difficulties, particularly with respect to trade-offs between changing water depth and inundation area. We use in situ measurements of water-surface stage (Delta H/dt) and remotely-sensed area (A) to compute time varying storage changes (Delta S) in nine lakes of the Peace-Athabasca Delta, Canada. Despite their identical geomorphic setting, regression slopes between Delta H and A vary significantly between lakes, primarily from a predictable 'area-effect' but also small bathymetric variations between basins. On average, lateral contraction/expansion (versus stage adjustment) contributes as little as 7% (versus 93%) to as much as 76% (versus 24%) of overall storage change Delta S. We conclude that both surface-area and Delta H/dt, rather than just either alone, must be measured to confidently estimate Delta S from space.
机译:三维遥感有望以与雷达测高仪改变物理海洋学相同的方式,为地表水文学带来巨大的飞跃。然而,小型陆地水体的复杂几何结构带来了困难,尤其是在变化的水深和淹没面积之间的权衡方面。我们使用原位测量水面阶段(Delta H / dt)和遥感面积(A)来计算加拿大Peace-Athabasca Delta九个湖泊的时变存储变化(Delta S)。尽管它们具有相同的地貌背景,但是在湖泊之间,Delta H和A之间的回归斜率变化很大,主要是由于可预测的“面积效应”,但也有盆地之间的小水深变化。平均而言,横向收缩/扩张(相对于阶段调整)仅占总存储变化量Delta S的7%(相对于93%)至76%(相对于24%)。我们得出结论,表面积和Delta必须测量H / dt而不是单独测量H / dt,才能从太空自信地估计DeltaS。

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