Collaborative Research: Predicting Colloid Distribution in Subsurface Granular Media by Resolving Nanoscale Heterogeneity and Continuum-Scale Flow Field Topologic Impacts

合作研究：通过解决纳米级异质性和连续尺度流场拓扑影响来预测地下颗粒介质中的胶体分布

• 批准号: 1951676
• 负责人: William Johnson
• 金额: $ 29.89万
• 依托单位: University of Utah
• 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: 2020-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951676&HistoricalAwards=false
• 关键词: Collaborative; Research; Predicting; Colloid; Distribution

Protection of groundwater resources from pathogens and other contaminants, as well as cleanup of legacy contamination, requires the ability to predict the mobility of contaminants in groundwater systems. Under environmental conditions, interactions with media surfaces may lead some very small particles known as colloids to move far greater distances than expected, leaving practitioners of groundwater resource protection and remediation without a viable way to predict their transport. This work integrates measurements of nanoscale characteristics of surfaces with transport and modeling experiments within a pore-scale theoretical framework that can be used to better predict the mobility of colloids. In addition to developing modeling tools for researchers and training graduate students, the knowledge gained will be disseminated to the general public by working with middle and high school teachers, participating of informal community-level events, and collaborating on Learning Abroad classes. The observed transport behavior of colloids at the pore scale may be reproduced through inclusion of nanoscale heterogeneity in mechanistic trajectory simulations. Currently such representation is determined empirically via match to transport experiments but lacks testing on known nano-patterned surfaces. The proposed project will combine experimental observations of colloid interaction with nano-patterned surfaces and mechanistic trajectory simulations to address knowledge gaps on (1) relationships between discrete representations of nanoscale surface heterogeneities and measurable physicochemical surface characteristics and (2) mechanistic parameterization of the fate of colloids beyond the pore scale. Nano-pattern surfaces will be characterized using force-volume atomic force microscopy. Multi-grain micromodel experiments, both in the laboratory and in silico/computational, will elucidate links between pore scale flow fingering, accumulation of near surface colloids, depletion of a fast-attaching subpopulation of colloids, and deviation from expected retention profiles under unfavorable attachment conditions. Results will be integrated with state-of-the-art upscaling approaches to build consistent theoretical models to predict colloid transport processes at continuum scales. The proposed research will: 1) improve our theoretical understanding of colloid transport in groundwater and other unfavorable contexts to the benefit of water resource protection and remediation: 2) provide a suite of simulation tools for practitioners and researchers; 3) enhance graduate student education through short courses regarding particle transport and surface interaction; and 4) outreach a broader population regarding the role of particulates in trace element fate and transport in subsurface and surface aquatic systems. Outreach include engaging middle and high school science teachers during summer internships, participation in community-level events, such as Science Alive and Science Sunday, held at libraries and local parks, and collaboration on Learning Abroad classes in Ecuador.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.

保护地下水资源免受病原体和其他污染物的保护，以及清理遗产污染，需要能够预测地下水系统中污染物的流动性。在环境条件下，与培养基表面的相互作用可能导致一些非常小的粒子被称为胶体的距离远远超过预期的距离，从而使地下水资源保护和补救的从业者没有可行的方法来预测其运输。 这项工作将表面的纳米级特性与孔尺度理论框架内的运输和建模实验相结合，可用于更好地预测胶体的迁移率。除了为研究人员和培训研究生开发建模工具外，获得的知识还将通过与中学和高中教师合作，参加非正式的社区级活动以及在国外学习的合作，将获得的知识传播给公众。可以通过在机械轨迹模拟中纳入纳米级异质性来重现胶体在孔隙尺度上观察到的转运行为。 目前，这种表示是通过与运输实验匹配的经验确定的，但缺乏对已知纳米图案表面的测试。所提出的项目将结合胶体相互作用与纳米图案表面和机械轨迹模拟的实验观察结果，以解决（1）纳米级表面异质性的离散表示之间的关系差距与可测量的物理化学表面特征与（2）胶体尺度尺度范围之外的机械化学参数化。纳米模式表面将使用力 - 体积原子力显微镜进行表征。在实验室和计算机/计算中，多晶粒微型模型实验将阐明孔隙尺度流动指法，近表面胶体的积累，胶体快速亚群的耗尽以及在不利依恋条件下偏离预期保留轮廓的差异。结果将与最新的升级方法集成，以构建一致的理论模型，以预测连续尺度下的胶体运输过程。拟议的研究将：1）提高我们对地下水中胶体运输和其他不利环境的理论理解，以使水资源保护和修复受益：2）为从业者和研究人员提供一套模拟工具； 3）通过有关粒子运输和表面相互作用的简短课程来增强学生教育； 4）关于颗粒在痕量元素命运和地下和表面水生系统中的痕量元素命运和运输中的作用的广泛人口。外展包括在暑期实习期间吸引中学和高中科学教师，参加社区级活动，例如Alive和Science Sunday，在图书馆和当地公园举行，以及在厄瓜多尔学习国外的合作。这奖反映了NSF的法定任务，并认为通过基金会的知识优点和广泛的crietia crietia criperia criperia criperia criperia cribitia criperia criperia criperia cribitia cribitia criperia criperia criperia均值得通过评估。

项目成果

Relating mechanistic fate with spatial positioning for colloid transport in surface heterogeneous porous media

将表面非均质多孔介质中胶体传输的机械命运与空间定位联系起来

• DOI: 10.1016/j.jcis.2023.03.005
• 发表时间: 2023
• 期刊: Journal of Colloid and Interface Science
• 影响因子: 9.9
• 作者: Patiño, Janis E.;Johnson, William P.;Morales, Verónica L.
• 通讯作者: Morales, Verónica L.

Colloidal transport and deposition through dense vegetation

通过茂密植被的胶体运输和沉积

• DOI: 10.1016/j.chemosphere.2021.132197
• 发表时间: 2022
• 期刊: Chemosphere
• 影响因子: 8.8
• 作者: Yu, Congrong;Duan, Peiyi;Barry, D.A.;Johnson, William P.;Chen, Li;Yu, Zhongbo;Sun, Yufeng;Li, Ying
• 通讯作者: Li, Ying

Important Role of Concave Surfaces in Deposition of Colloids under Favorable Conditions as Revealed by Microscale Visualization

• DOI: 10.1021/acs.est.1c07305
• 发表时间: 2022-04-05
• 期刊: ENVIRONMENTAL SCIENCE & TECHNOLOGY
• 影响因子: 11.4
• 作者: Li, Tiantian;Shen, Chongyang;Xing, Baoshan
• 通讯作者: Xing, Baoshan