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
基本信息
- 批准号:1759071
- 负责人:
- 金额:$ 35.57万
- 依托单位:
- 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 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
最近冰川的快速退缩,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。了解当前冰川退缩对这些地区供水的影响,可以揭示冰雪覆盖的山区未来的水安全威胁。世界范围内的流域冰川是山脉的“水塔”:它们在潮湿时期储存冰,并在干旱时期逐渐释放融水。然而,地下水含水层是否充当扩展水库以及植物是否也占用大量水。冰川融水仍然是未解决的问题。这些不确定性使得预测山区流域未来供水的可靠性变得困难,因为冰川融化首先加速,然后最终消失,并且随着植物因气候变暖而迁移到更高的海拔。一个新的通用计算流域模型,将结合用于追踪水流源区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结果,可以为依赖水流的社区提供信息。冰雪覆盖的山区流域的排放量与未来水资源的脆弱性有关,并且随着冰川退缩的加速,冰川的退缩将削弱其调节河流排放量及其水文后果的能力,从而可以促进适应策略。通常将融水和地下水分类为水流的不同贡献者,但这过于简单化了冰川、其底层地下水系统和生态水文路径之间潜在的复杂关系。研究人员建议利用这些关系来评估这些关系。在四个快速变化的厄瓜多尔冰川流域(钦博拉索火山和卡扬贝火山各两个)中采用综合数据模型方法这项工作将产生一个具有反应传输的新同位素流域模型,将引入数据同化以调节。使用强大的环境示踪剂和用于测量模型输入数据的传感器对数据稀疏的流域进行不确定模拟将进一步促进对关键区域过程的理解。这项工作将揭示研究较少的火山山脉,这些火山山脉可能促进融水通过破碎的基岩更大程度地渗透,并扩大现有的研究范围。水资源重点关注冰川退缩,在检查冰川山地流域对冰川退缩的水文响应时也考虑植被变化。该奖项反映了 NSF 的法定使命,并被认为值得通过以下方式获得支持:使用基金会的智力价值和更广泛的影响审查标准进行评估。
项目成果
期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Glacier thickness and ice volume of the Northern Andes
- DOI:10.1038/s41597-022-01446-8
- 发表时间:2022-06-15
- 期刊:
- 影响因子:9.8
- 作者:Van Wyk de Vries, Maximillian;Carchipulla-Morales, David;Wickert, Andrew D.;Minaya, Veronica G.
- 通讯作者:Minaya, Veronica G.
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:
- 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
- 通讯作者:L. Saberi;R. McLaughlin;G. Ng;Jeff La Frenierre;A. Wickert;M. Baraer;W. Zhi;Li Li-Li;B. Mark
Increasing rate of 21st century volume loss of the Patagonian Icefields measured from proglacial river discharge
根据冰河前河流量测量,巴塔哥尼亚冰原 21 世纪体积损失的速度不断增加
- DOI:10.1017/jog.2023.9
- 发表时间:2023
- 期刊:
- 影响因子:3.4
- 作者:Van Wyk de Vries, Maximillian;Romero, Matias;Penprase, Shanti B.;Ng, G.-H. Crystal;Wickert, Andrew D.
- 通讯作者:Wickert, Andrew D.
BioRT-Flux-PIHM v1.0: a biogeochemical reactive transport model at the watershed scale
- DOI:10.5194/gmd-15-315-2022
- 发表时间:2022-01
- 期刊:
- 影响因子:5.1
- 作者:W. Zhi;Yuning Shi;H. Wen;L. Saberi;G. Ng;K. Sadayappan;Devon Kerins;Bryn Stewart;Li Li-Li
- 通讯作者:W. Zhi;Yuning Shi;H. Wen;L. Saberi;G. Ng;K. Sadayappan;Devon Kerins;Bryn Stewart;Li Li-Li
Spatiotemporal Drivers of Hydrochemical Variability in a Tropical Glacierized Watershed in the Andes
安第斯山脉热带冰川流域水化学变化的时空驱动因素
- DOI:10.1029/2020wr028722
- 发表时间:2021
- 期刊:
- 影响因子:5.4
- 作者:Saberi, Leila;Crystal Ng, G. ‐H.;Nelson, Leah;Zhi, Wei;Li, Li;La Frenierre, Jeff;Johnstone, Morgan
- 通讯作者:Johnstone, Morgan
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Gene-Hua Ng其他文献
Gene-Hua Ng的其他文献
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{{ truncateString('Gene-Hua Ng', 18)}}的其他基金
Collaborative Research: From Peaks To Slopes To Communities, Tropical Glacierized Volcanoes As Sentinels of Global Change: Integrated Impacts On Water, Plants and Elemental Cycling
合作研究:从山峰到斜坡到社区,热带冰川火山作为全球变化的哨兵:对水、植物和元素循环的综合影响
- 批准号:
2317850 - 财政年份:2023
- 资助金额:
$ 35.57万 - 项目类别:
Continuing Grant
Upgrading plant-functional-types with plant trait variability in ecohydrological models: A stochastic parameterization approach
在生态水文模型中利用植物性状变异升级植物功能类型:随机参数化方法
- 批准号:
1724781 - 财政年份:2017
- 资助金额:
$ 35.57万 - 项目类别:
Standard Grant
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