RAPID: Turning a Lake Sinkhole Event into Natural/Man-Made Tracer Experiments and Data Collection Campaign for Advanced Understanding of Karst Hydrogeology and Solute Transport

RAPID：将湖泊天坑事件转化为自然/人造示踪实验和数据收集活动，以进一步了解喀斯特水文地质和溶质输送

• 批准号: 1828827
• 负责人: Ming Ye
• 金额: $ 4.98万
• 依托单位: Florida State University
• 依托单位国家: 美国
• 项目类别: Standard 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=1828827&HistoricalAwards=false
• 关键词: RAPID; Turning; Lake; Sinkhole; Event

Although lake drainage into sinkholes is common occurrences in karst systems, little is known about the relationships among lake water, groundwater, spring water, and river water. The continuous drainage of a large amount of lake water and water-contained contaminants into lake sinkholes can be viewed as a natural tracer experiment. If the contaminant concentrations are monitored in downgradient karst springs and rivers, the lake sinkhole drainage can be used to gain knowledge about the transport of water and contaminants. To test this, the project will use a man-made dye tracer along with water chemistry measurements to in an actively draining lake sinkhole. The dye tracer and water chemistry will be monitored and measured in the lake, the upper Floridan aquifer, karst springs, and rivers. Results from this project will be shared with the Florida State Geological Survey and environmental management agencies.This project examines the hydrologic connection among lake drainage via sinkholes, springs, and estuaries in a karst system. A dye tracer experiment will be used to calculate the transit time from an actively draining lake sinkhole to downgradient springs and rivers. To evaluate if environmental tracers or contaminants can be used as surrogates for dye tracer experiments in karst systems, chromophoric dissolved organic matter measurements will be taken in conjunction with the dye tracer. The results of this study and the associated methods development may be applied to many other karst systems in the U.S. The PIs will collaborate with the Florida State Geological Survey and their results will be shared with state government water resources and environmental management agencies.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.

虽然湖泊排水入天坑是岩溶系统中常见的现象，但对湖泊水、地下水、泉水和河水之间的关系知之甚少。大量湖水和水中污染物不断排入湖泊天坑，可以看作是一种天然示踪实验。如果污染物浓度的监测，在下坡岩溶泉和河流，湖泊天坑排水可以用来获得有关水和污染物的传输知识。为了测试这一点，该项目将使用人造染料示踪剂沿着水化学测量，以在一个积极排水湖天坑。染料示踪剂和水化学将在湖泊，上弗洛里丹含水层，岩溶泉和河流进行监测和测量。该项目的结果将与佛罗里达州地质调查局和环境管理机构共享。该项目通过岩溶系统中的天坑、泉水和河口来研究湖泊排水之间的水文联系。 染料示踪实验将用于计算从一个积极排水的湖泊天坑到下坡泉和河流的过境时间。为了评估环境示踪剂或污染物是否可用作岩溶系统中染料示踪剂实验的替代物，将结合染料示踪剂进行发色溶解有机物测量。本研究的结果和相关方法的开发可能适用于美国的许多其他岩溶系统。PI将与佛罗里达州地质调查局合作，其结果将与州政府水资源和环境管理机构共享。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响进行评估来支持审查标准。

项目成果

Using cluster analysis for understanding spatial and temporal patterns and controlling factors of groundwater geochemistry in a regional aquifer

• DOI: 10.1016/j.jhydrol.2020.124594
• 发表时间: 2020-04
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Jing Yang;M. Ye;Zhonghua Tang;T. Jiao;Xiao-yu Song;Yongzhen Pei;Honghua Liu

Using machine learning to identify karst sinkholes from LiDAR-derived topographic depressions in the Bluegrass Region of Kentucky

• DOI: 10.1016/j.jhydrol.2020.125049
• 发表时间: 2020-09
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Junfeng Zhu;Adam M. Nolte;Nathan Jacobs;M. Ye

Using t-distributed Stochastic Neighbor Embedding (t-SNE) for cluster analysis and spatial zone delineation of groundwater geochemistry data

• DOI: 10.1016/j.jhydrol.2021.126146
• 发表时间: 2021-03
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Honghua Liu;Jing Yang;M. Ye;S. James;Zhonghua Tang;Jie Dong;Tongju Xing

Using δ18O and δ2H to Detect Hydraulic Connection Between a Sinkhole Lake and a First‐Magnitude Spring

使用 δ18O 和 δ2H 检测天坑湖与一级弹簧之间的水力连接

• DOI: 10.1111/gwat.13105
• 发表时间: 2021
• 期刊: Groundwater
• 影响因子: 2.6
• 作者: Ahmed, Nur;Ye, Ming;Wang, Yang;Greenhalgh, Tom;Fowler, Karlee
• 通讯作者: Fowler, Karlee

A new model for simulating spring discharge recession and estimating effective porosity of karst aquifers

• DOI: 10.1016/j.jhydrol.2018.05.039
• 发表时间: 2018-07
• 期刊: Journal of Hydrology
• 影响因子: 6.4
• 作者: Bin Xu;M. Ye;Shuning Dong;Z. Dai;Yongzhen Pei