RAPID: Collecting critical data for advancing our understanding of wildfire impacts on soil characteristics and research on post-wildfire compound hazards

RAPID:收集关键数据,以加深我们对野火对土壤特性影响的理解以及对野火后复合危害的研究

基本信息

  • 批准号:
    2052581
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-11-15 至 2022-04-30
  • 项目状态:
    已结题

项目摘要

This project offers a unique opportunity to advance our fundamental understanding of hydrologic and geomorphic processes following wildfire events. The project will provide public access to perishable data with a wide range of potential applications for stakeholders in many fields, including hydrology, geomorphology, ecology, geotechnical engineering, and natural hazards management. The team will collect a variety of data including: post-fire near-surface soil moisture, electric conductivity, soil temperature and CO2 flux after wildfire events in nearby burned and unburned areas; soil samples using in-situ geotechnical sampling and tests to understand geotechnical characteristics of burned and unburned soils (e.g., soil texture, hydraulic properties, shear strength and compressibility); soil texture, land cover change and vegetation change information from drone images and aerial photos. The project will provide training to a graduate student in data collection. The lead university is a minority serving institution. The principal investigators frequently recruit minority undergraduate students. The data collected in this project will be used for future undergraduate research projects.Wildfires greatly change the land cover of hydrologic basins, increasing the overland flow and debris movement, and oftentimes decreasing the basin’s time of concentration. Wildfires can also adversely impact geotechnical characteristics (e.g., index, mechanical, hydraulic properties) of the near-surface soil in burned areas, which may result in reduced soil stability and increased likelihood of post-wildfire landslides, mud and debris flows, erosion, and excessive runoff. Floods and debris flows pose a significant threat, especially when extreme precipitation falls over burned areas (e.g., the 2018 debris flow in Montecito, California). This is an example of a compound event in which two consecutive events lead to extreme societal impacts. In this project, the investigators will collect perishable post-fire data with a focus on changes in soil characteristics in burned areas. This data could be useful for analyses on compound geohazards associated with wildfires, including landslide and debris flow analysis and land-surface dynamics. This award is co-funded by the Hydrologic Sciences and the Geomorphology and Land-use Dynamics programs.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.
该项目提供了一个独特的机会,以加深我们对野火事件后水文和地貌过程的基本了解。该项目将为公众提供易腐烂的数据,并为许多领域的利益相关者提供广泛的潜在应用,包括水文学、地貌学、生态学、岩土工程。该团队将收集各种数据,包括:使用附近烧毁和未烧毁地区的火灾后近地表土壤湿度、电导率、土壤温度和二氧化碳通量;现场岩土采样和测试,以了解烧毁和未烧毁土壤的岩土特征(例如,土壤质地、水力特性、剪切强度和压缩性);通过无人机图像和航空照片获取土地覆盖变化和植被变化信息。将为研究生提供数据收集方面的培训。主要研究人员经常招收少数民族本科生。该项目收集的数据将用于未来的本科研究项目。野火极大地改变了土地覆盖。野火还会对烧毁地区近地表土壤的岩土特性(例如指数、机械、水力特性)产生不利影响。导致土壤稳定性降低,野火后发生山体滑坡、泥石流、侵蚀以及过量径流的可能性增加,特别是当极端降水落在烧毁地区时。 (例如,2018 年加利福尼亚州蒙特西托的泥石流)这是两个连续事件导致极端社会影响的复合事件的示例。在该项目中,调查人员将收集易腐烂的火灾后数据,重点关注变化。该数据可用于分析与野火相关的复合地质灾害,包括滑坡和泥石流分析以及地表动力学。该奖项由水文科学和地貌学共同资助。土地利用动态项目。该奖项反映了 NSF 的法定使命,并通过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,被认为值得支持。

项目成果

期刊论文数量(0)
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Amir AghaKouchak其他文献

Forecasting of compound ocean-fluvial floods using machine learning.
使用机器学习预测复合海洋河流洪水。
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    8.7
  • 作者:
    S. Moradian;Amir AghaKouchak;Salem Gharbia;Ciaran Broderick;A. I. Olbert
  • 通讯作者:
    A. I. Olbert
Use of GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic Extremes
使用 GRACE 卫星重力测量评估大规模水文极端情况
  • DOI:
    10.3390/rs9121287
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    5
  • 作者:
    Alex;er Sun Y;B. R. Scanlon;Amir AghaKouchak;Z.Z Zhang
  • 通讯作者:
    Z.Z Zhang
A Framework for Global Multicategory and Multiscalar Drought Characterization Accounting for Snow Processes
雪过程的全球多类别和多标量干旱表征框架
  • DOI:
    10.1029/2019wr025529
  • 发表时间:
    2019-11
  • 期刊:
  • 影响因子:
    5.4
  • 作者:
    Baoqing Zhang;Youlong Xia;Laurie S. Huning;Jiahua Wei;Guangqian Wang;Amir AghaKouchak
  • 通讯作者:
    Amir AghaKouchak
Bayesian vine copulas improve agricultural drought prediction for long lead times
贝叶斯藤系关联改善农业干旱预测,延长交付周期
  • DOI:
    10.1016/j.agrformet.2023.109326
  • 发表时间:
    2023-03
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Haijiang Wu;Xiaoling Su;Vijay P. Singh;Amir AghaKouchak;Zhiyong Liu
  • 通讯作者:
    Zhiyong Liu
A water-energy balance approach for multi-category drought assessment across globally diverse hydrological basins
全球多样化水文流域多类别干旱评估的水-能量平衡方法
  • DOI:
    10.1016/j.agrformet.2018.10.010
  • 发表时间:
    2019-01
  • 期刊:
  • 影响因子:
    6.2
  • 作者:
    Baoqing Zhang;Amir AghaKouchak;Yuting Yang;Jiahua Wei;Guangqian Wang
  • 通讯作者:
    Guangqian Wang

Amir AghaKouchak的其他文献

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{{ truncateString('Amir AghaKouchak', 18)}}的其他基金

CLIMA/Collaborative Research: Equitable Adaptive Strategies for Flood Protection Infrastructure under Current and Future Compound Hazards
CLIMA/合作研究:当前和未来复合灾害下防洪基础设施的公平适应性策略
  • 批准号:
    2332263
  • 财政年份:
    2023
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Frameworks: Collaborative Proposal: Software Infrastructure for Transformative Urban Sustainability Research
框架:合作提案:变革性城市可持续发展研究的软件基础设施
  • 批准号:
    1931335
  • 财政年份:
    2019
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Weather Augmented Risk Determination System
I-Corps:天气增强风险确定系统
  • 批准号:
    1745784
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Collaborative Research: Resilience of Geotechnical Infrastructure under a Changing Climate: Quantitative Assessment for Extreme Events
合作研究:气候变化下岩土基础设施的复原力:极端事件的定量评估
  • 批准号:
    1635797
  • 财政年份:
    2016
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps: Global Integrated Drought Monitoring and Prediction System
I-Corps:全球综合干旱监测和预测系统
  • 批准号:
    1354546
  • 财政年份:
    2013
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
A Nested Multi-Scale Hydrological Modeling Framework: Assessing Resilience and Vulnerability to Climate Change
嵌套多尺度水文模型框架:评估气候变化的恢复力和脆弱性
  • 批准号:
    1316536
  • 财政年份:
    2013
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

相似国自然基金

非管井集水建筑物取水机理的物理模拟及计算模型研究
  • 批准号:
    40972154
  • 批准年份:
    2009
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