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Doctoral Dissertation Research: Assessing Variability in High Elevation Soil Moisture: Integrating Unmanned Aerial Vehicles, Satellites, and Field Hydrology

博士论文研究：评估高海拔土壤湿度的变化：整合无人机、卫星和现场水文学

基本信息

批准号：
1434248
负责人：
Bryan Mark
金额：
$ 1.6万
依托单位：
Ohio State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2014
资助国家：
美国
起止时间：
2014-08-15 至 2017-01-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1434248&HistoricalAwards=false
关键词：
Doctoral Dissertation Research Assessing Variability

项目摘要

An unstudied aspect of regional hydrology is the role of soil moisture in seasonal water storage, and how it is related to associated climatic, hydrogeologic and environmental dynamics. Soil moisture storage may act as a control on both water provision and primary production of key grazing lands, especially during the dry season. Variability in soil moisture therefore has an implicit role in water, food and livelihood security for downstream stakeholders. This dissertation project will investigate the patterns, processes and drivers of multi-scale temporal and spatial variability in soil moisture content (SMC) through a novel integration of multispectral Unmanned Aerial Vehicles (UAVs), satellite remote sensing and field hydrology. This research will provide a scientific contribution of both methodological and technological advances in the ways that UAVs can be used in earth science and relatively inaccessible (e.g., high mountain) research as well as empirical knowledge regarding the regional hydrology of the systems under study. The findings of this research will help answer fundamental questions about the water balance of high mountain systems and responses to periodic or other climatic and anthropogenic forces. The methodological and technical advances in UAV applications will be of interest to scientists interested in new ways of mapping and understanding the earth surface. Empirical insights of this research will be of interest to scientists investigating future hydrologic scenarios as well as questions of process and scale in mountain regions. Through its focus on water availability this research has significant implications for and long-term hydrologic, energy, and economic management and planning. This work takes place in the Cordillera Blanca range of the tropical Peruvian Andes, an area of documented scientific importance in understanding dynamic soil moisture processes and conditions. It is hypothesized that soil moisture constitutes an important yet heterogeneous reservoir of groundwater that couples glacier melt, atmospheric fluxes and land cover. To investigate these processes, this project combines the analysis of Landsat satellite imagery and high resolution (centimeter) multispectral UAV imagery with climate and hydrology data to quantify inter-annual and seasonal variability in soil moisture content (SMC). To identify potential drivers of multi-scale spatial and temporal SMC variability, this research examines the hydrogeoecological connections among SMC, groundwater storage, precipitation, glacier recession, evapotranspiration and climate in the high alpine meadows and wetlands. The systematic knowledge will contribute to many high elevation mountain systems as well as the social and economic systems dependent upon them. Lastly, this work will develop a methodology through which SMC in remote environments can be rapidly quantified with continuous coverage at a high spatial resolution using a UAV platform.

区域水文学的一个未研究的方面是土壤水分在季节性蓄水中的作用，以及它如何与相关的气候、水文地质和环境动力学相关。土壤水分储存可以作为一个控制供水和主要牧场的初级生产，特别是在旱季。因此，土壤湿度的可变性对下游利益攸关方的水、粮食和生计安全具有隐含的作用。本论文项目将通过多光谱无人机（UAV），卫星遥感和野外水文学的新集成，研究土壤水分含量（SMC）的多尺度时空变异的模式，过程和驱动因素。这项研究将提供方法和技术进步的科学贡献，使无人机可以用于地球科学和相对不可访问的方式（例如，高山）研究以及有关所研究系统的区域水文学的经验知识。这项研究的结果将有助于回答有关高山系统的水平衡以及对周期性或其他气候和人为力量的反应的基本问题。无人驾驶飞机应用中的方法和技术进步将使对测绘和了解地球表面的新方法感兴趣的科学家感兴趣。这项研究的经验见解将感兴趣的科学家调查未来的水文情景以及山区的过程和规模的问题。通过其对水资源的关注，这项研究对长期水文，能源和经济管理和规划具有重要意义。这项工作发生在秘鲁热带安第斯山脉的科迪勒拉布兰卡范围内，这是一个在了解动态土壤水分过程和条件方面具有重要科学意义的地区。据推测，土壤水分构成了一个重要但不均匀的地下水水库，它将冰川融化、大气通量和土地覆盖结合在一起。为了调查这些过程，该项目结合分析陆地卫星图像和高分辨率（厘米）多光谱无人机图像与气候和水文数据，以量化土壤水分含量（SMC）的年际和季节性变化。为了确定多尺度空间和时间SMC变化的潜在驱动因素，本研究探讨了SMC，地下水储存，降水，冰川退缩，蒸散和气候在高山草甸和湿地之间的水文地质生态联系。系统的知识将有助于许多高海拔山区系统以及依赖于它们的社会和经济系统。最后，这项工作将开发一种方法，通过该方法，可以使用无人机平台以高空间分辨率快速量化远程环境中的SMC。