Collaborative Research: Determining the eco-hydrogeologic response of tropical glacierized watersheds to climate change: An integrated data-model approach

合作研究：确定热带冰川流域对气候变化的生态水文地质响应：综合数据模型方法

• 批准号: 1758795
• 负责人: Li Li
• 金额: $ 15.17万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-03-15 至 2021-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1758795&HistoricalAwards=false
• 关键词: Collaborative; Research; Determining; eco; hydrogeologic

Recent rapid glacier retreat, especially in tropical regions such as the Ecuadorian Andes, raises important questions about water resources. Understanding the current effects of glacier retreat on water supply in these regions can shed light on future water security threats in snow and ice-covered mountainous watersheds worldwide. Glaciers are the "water towers" of the mountains: they store ice during wet periods and gradually release meltwater during dry periods. However, whether groundwater aquifers serve as extended reservoirs and whether plants also take up significant glacial meltwater remain unresolved questions. These uncertainties make it difficult to predict the future reliability of water supply in mountainous watersheds, as glacier melt first accelerates and then eventually disappears, and as plants move to higher elevations in response to warming temperatures. This project will develop a new and general computational watershed model that will incorporate chemical and isotopic data for tracing water flow source regions, as well as measurements from innovative low-cost, open-source environmental monitoring technologies. Results from the model can inform communities that rely on stream discharge from ice and snow-covered mountainous watersheds about present with regard to future water resources vulnerabilities, and can facilitate adaptation strategies as glacier retreat accelerates. The recession of glaciers will curtail their ability to modulate river discharge and its variability. Studies of this hydrologic consequence typically classify meltwater and groundwater as distinct contributors to streamflow, but this oversimplifies the potentially complex relationships among glaciers, their underlying groundwater systems, and ecohydrologic pathways. The investigators propose to assess these relationships using an integrated data-model approach in four rapidly changing, glacierized Ecuadorian watersheds, two each at Volcán Chimborazo and Volcán Cayambe. This work will produce a new isotope-enabled watershed model with reactive transport, to which data assimilation will be introduced in order to condition uncertain simulations in data-sparse watersheds with robust environmental tracers. Open-source data loggers and sensors for measuring model input data will further advance critical-zone process understanding beyond data-intensive sites to remote settings that are undergoing some of the most rapid environmental change in the world. This work will shed light on less-studied volcanic ranges that potentially facilitate greater infiltration of meltwater through their fractured bedrock, as well as expand the established water-resources focus on glacier retreat to also consider vegetation shift when examining the hydrologic response of glacierized mountainous watersheds to glacier retreat.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

最近的快速冰川静修处，特别是在厄瓜多尔安第斯山脉等热带地区，提出了有关水资源的重要问题。了解这些地区冰川静修对供水的当前影响可以揭示全球雪和冰覆盖的山区流域的未来水安全威胁。冰川是山区的“水塔”：它们在潮湿时期内存放冰，并在干燥时期逐渐释放融化。但是，地下水含水层是否充当扩展储量，以及植物是否还占用大量冰川融化的储量仍然无法解决问题。这些不确定性使得很难预测山区流域中供水的未来可靠性，因为冰川融化首先会加速而最终消失，并且随着植物在响应温暖温度的响应中移动到更高的海拔高度。该项目将开发一种新的，一般的计算流域模型，该模型将结合追踪水流源区域的化学和同位素数据，以及创新的低成本开源环境监测技术的测量。该模型的结果可以告知社区依靠冰和雪覆盖的山区流域的流量，这些流域关于未来的水资源脆弱性，并可以促进适应策略，因为冰川静修会加速。冰川的衰退将降低其调节河流排放及其可变性的能力。对这种水文后果的研究通常将融化水和地下水分类为流量的不同促成者，但这过分简化了冰川，其潜在的地下水系统和生态流道途径之间的潜在复杂关系。研究人员建议在四个快速变化的冰川冰川流域中使用综合数据模型方法评估这些关系，在沃尔肯·奇姆博拉索（VolcánChimborazo）和沃尔卡恩·卡亚姆贝（VolcánCayambe）分别进行了两种关系。这项工作将产生一个具有反应性传输的新型基于同位素的流域模型，将引入数据同化，以便在具有强大的环境示踪剂的数据 - 帕斯斯流域中调节不确定的模拟。用于测量模型输入数据的开源数据记录仪和传感器将进一步将关键区域的流程理解超出数据密集型站点，直到正在经历世界上一些最快的环境变化的远程设置。 This work will shed light on less-studied volcanic ranges that potentially favored greater infiltration of meltwater through their fractured bedrock, as well as expand the established water-resources focus on glacier retreat to also consider vegetation shift when examining the hydrologic response of glacierized mountainous watersheds to glacier retreat.This award reflects NSF's statutory mission and has been deemed worthy of support through使用基金会的智力优点和更广泛的影响评估标准进行评估。

项目成果

Multi-scale temporal variability in meltwater contributions in a tropical glacierized watershed

• DOI: 10.5194/hess-23-405-2019
• 发表时间: 2019-01
• 期刊: Hydrology and Earth System Sciences
• 影响因子: 6.3
• 作者: L. Saberi;R. McLaughlin;G. Ng;Jeff La Frenierre;A. Wickert;M. Baraer;W. Zhi;Li Li-Li;B. Mark