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Development of a Methodology that Couples Satellite Remote Sensing Measurements to Spatial-Temporal Distribution of Soil Moisture in the Vadose Zone of the Everglades National Park

机译:卫星遥感测量与大沼泽地国家公园渗流带土壤水分时空分布耦合的方法论研究

摘要

Spatial-temporal distribution of soil moisture in the vadose zone is an important aspect of the hydrological cycle that plays a fundamental role in water resources management, including modeling of water flow and mass transport. The vadose zone is a critical transfer and storage compartment, which controls the partitioning of energy and mass linked to surface runoff, evapotranspiration and infiltration. This dissertation focuses on integrating hydraulic characterization methods with remote sensing technologies to estimate the soil moisture distribution by modeling the spatial coverage of soil moisture in the horizontal and vertical dimensions with high temporal resolution.The methodology consists of using satellite images with an ultrafine 3-m resolution to estimate soil surface moisture content that is used as a top boundary condition in the hydrologic model, SWAP, to simulate transport of water in the vadose zone. To demonstrate the methodology, herein developed, a number of model simulations were performed to forecast a range of possible moisture distributions in the Everglades National Park (ENP) vadose zone. Intensive field and laboratory experiments were necessary to prepare an area of interest (AOI) and characterize the soils, and a framework was developed on ArcGIS platform for organizing and processing of data applying a simple sequential data approach, in conjunction with SWAP.An error difference of 3.6% was achieved when comparing radar backscatter coefficient (σ0) to surface Volumetric Water Content (VWC); this result was superior to the 6.1% obtained by Piles during a 2009 NASA SPAM campaign. A registration error (RMSE) of 4% was obtained between model and observations. These results confirmed the potential use of SWAP to simulate transport of water in the vadose zone of the ENP.Future work in the ENP must incorporate the use of preferential flow given the great impact of macropore on water and solute transport through the vadose zone. Among other recommendations, there is a need to develop procedures for measuring the ENP peat shrinkage characteristics due to changes in moisture content in support of the enhanced modeling of soil moisture distribution.
机译:渗流带中土壤水分的时空分布是水文循环的重要方面,它在水资源管理(包括水流模型和物质输送模型)中起着重要作用。渗流区是一个关键的转移和储存区,它控制着与地表径流,蒸散和渗透有关的能量和物质的分配。本论文着重于将水力表征方法与遥感技术相结合,以高水平的时间分辨率对水平和垂直方向上土壤水分的空间覆盖范围进行建模,从而估算土壤水分的分布。该方法包括使用具有3 m超细卫星图像分辨率,以估计土壤表面含水量,在水文模型SWAP中用作最高边界条件,以模拟渗流带中水的输送。为了证明本文开发的方法,进行了许多模型模拟,以预测大沼泽国家公园(ENP)渗流带中可能的水分分布范围。为了准备感兴趣的区域(AOI)和表征土壤,必须进行大量的野外和实验室实验,并在ArcGIS平台上开发了一个框架,用于使用简单的顺序数据方法结合SWAP来组织和处理数据。将雷达后向散射系数(σ0)与地表体积水含量(VWC)进行比较,可达到3.6%的比例;这一结果优于Piles在2009年NASA SPAM活动中获得的6.1%。在模型和观测值之间获得了4%的配准误差(RMSE)。这些结果证实了使用SWAP来模拟水在ENP的渗流带中的潜在应用。鉴于大孔对水和溶质通过渗流带的巨大影响,ENP的未来工作必须结合优先流动的使用。除其他建议外,还需要制定程序来测量由于水分含量变化而引起的ENP泥炭收缩特性,以支持增强的土壤水分分布模型。

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    Perez Luis G;

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