| Session ID |
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Title |
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Description |
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Conveners (UZTC
members highlighted)
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H51G
and
H41R |
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The Food-Water Link and Nonpoint Source Flux Impact on Groundwater, Vadose Zone, and Surface Water Quality I |
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Nonpoint source (NPS) fluxes in vadose zone, groundwater, and at their interface to surface water are critical to societal issues including agricultural sustainability, food security, drinking water quality, ecosystem health, and global change. Better understanding is needed of bio/geo/hydro/chemical and anthropogenic factors affecting diffuse mass fluxes of nutrients, pesticides, emerging contaminants, trace elements, greenhouse gases and other chemical/biological agents. Strategies are emerging to monitor the sources and fate of NPS fluxes and to more effectively control and remediate water quality. We invite contributions assessing NPS transport processes and flow routes using field, laboratory, and modeling approaches (lab, plot, or watershed/(sub)basin scale); presentations on innovative remediation options to control or intercept NPS pollution in rural or urban settings; on studies that address linkages between chemical, biological, hydro(geo)logical, climatological, and/or social factors affecting NPS fluxes, and on studies linking agricultural practices to NPS fluxes to develop sustainable management options. |
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Rozemeijer Joachim
Green Christopher
Basu Nandita
Harter Thomas |
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H51E
and
H53N |
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Environmental Vadose Zone Hydrology |
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The vadose zone provides an important linkage between the Earth’s surface and groundwater, and influences a wide range of critically-important environmental hydrologic phenomena such as recharge, ET, and subsurface transport. However, many vadose zone dynamics and hydrologic controls are still poorly understood due to the random and structural heterogeneities that exist across scales in both time and space, the complexities and non-linearities that occur within and between processes, and the difficulties associated with quantifying and monitoring these processes. We solicit presentations that advances our understanding of dynamic hydrologic and (bio)geochemical processes in the vadose zone. Topics may include but are not limited to: unsaturated and multiphase flow and transport, effects of heterogeneity including preferential flow, climate change-induced vadose zone processes, measurement or monitoring techniques applicable to the vadose zone, and uncertainty in vadose zone flow and transport prediction. |
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Smits Kathleen
Sayde Chadi
Joaquin Jimenez-Martinez
Hsu Shao-Yiu |
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H33G
and
H34G
and
H41S |
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Water and Society: Groundwater in a Changing Climate |
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Groundwater-climate interactions are dynamic and affect subsurface hydrological processes, groundwater quantity, groundwater quality, and the potential for shallow geothermal energy. However, the impacts of natural and anthropogenic disturbances on the variability of the groundwater system as well as their associated social, economic, and public health implications have not been fully addressed in a comprehensive manner. Furthermore, management regimes do not necessarily take into account this variability. This session will explore natural- and human-induced changes in the spatiotemporal and thermal variability of the groundwater system and how they affect the water and energy budget. It will also examine how management regimes strive for sustainable quantitative groundwater management. Particular focus will be given on how stakeholders craft collective allocation rules that resolve competing societal objectives while harnessing the spatial and temporal variability of groundwater resources. |
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Benz Susanne
Lo Min-Hui
Rouillard Josselin
Li Yusong |
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H31I
and
H33A |
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Application of Artificial Intelligence/Machine Learning to enhance process understanding of pristine and agriculture-intensive watersheds |
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An understanding of watershed functions is required to quantify effects of climate change and extreme weather on the downstream delivery of water, nutrients, carbon and metals – all of which affect freshwater resources and agriculture in the long term. Simultaneously, a multi-scale understanding of vadose zone processes is required to quantify the effects of water and nutrient dynamics – factors that affect water quality and agriculture in both the short and long term. We invite contributions describing use of artificial intelligence, machine learning, and other data-driven techniques that involve (1) aggregating a variety of data sources, (2) modeling uncertainty associated with data used to fit or initialize watershed-scale models, (3) computational techniques to account for data challenges inherent in models, (4) modeling flow of water and nutrients in the vadose across space and time scales, and (5) modeling impacts of hydrological processes on agriculture. |
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Mital Utkarsh
Jana Raghavendra
Dwivedi Dipankar
Xie Yuying |