Sessions by the Committee

This page lists the sessions co-/convened by the AGU Unsaturated Zone Hydrology Technical Committee at each AGU Fall Meeting.

AGU Fall Meeting 2020


Conveners (UZTC
members highlighted)

Environmental Vadose Zone Hydrology Ian Molnar, Raghavendra Jana, Veronica L Morales, Teamrat Ghezzehei
Groundwater Response to Climate Change and Variability I Yusong Li, Lirong Zhong
Utility of Artificial Intelligence/Machine Learning Approaches in Understanding Soil Hydrological Processes

Raghavendra Jana,  Teamrat Ghezzehei

Experimental and Theoretical Strategies for Quantifying the Impact of Small-Scale Heterogeneity on Effective Fluxes Within the Unsaturated Zone and Across Interfaces with the Atmosphere and Saturated Zone Kathleen Smits, Veronica L Morales, Joaquin Jimenez-Martinez
Biochemical and Hydrodynamic Processes in Biofilms and Porous Media Francisco Jose Carrillo; Dorothee Luise Kurz; Joaquin Jimenez-Martinez; Eleonora Secchi

 Advances in Subsurface Contaminant Transport and Remediation: Addressing Current and Emerging Challenges

Amanda Lawter;Kevin Mumford; Thomas J Phelan

The Food–Water Link and Nonpoint Source Flux Impact on Groundwater, Vadose Zone, and Surface Water Quality

Thomas Harter; Danica Schaffer-Smith; Nandita B Basu; Christopher T Green


 New Technologies and Platforms to Measure Methane Emissions from Oil and Gas Operations: Methods, Data, and Insights

Stuart Riddick; Arvind P Ravikumar; Daniel Zimmerle; Kathleen Smits

Science-Driven Policies to Address Emissions from the Oil and Gas Secto

Clay Bell; Kathleen Smits; David Richard Lyon; Arvind P Ravikumar

Student Experiences with Remote Learning and Research

Vincent C H Tong; Alicia Kathryn Petersen; Takuro Ogura; Shahab Karimifard

Convergent Science, Decision-Making, and Community Action for Addressing Societal Water and Health Needs

Sarah Freeman; Yusong Li; Matthew O Gribble

AGU Fall Meeting 2019, San Francisco

Session ID Title Description

Conveners (UZTC
members highlighted)

The Food-Water Link and Nonpoint Source Flux Impact on Groundwater, Vadose Zone, and Surface Water Quality I 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. Rozemeijer Joachim
Green Christopher
Basu Nandita
Harter Thomas
Environmental Vadose Zone Hydrology 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. Smits Kathleen
Sayde Chadi
Joaquin Jimenez-Martinez
Hsu Shao-Yiu
Water and Society: Groundwater in a Changing Climate 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. Benz Susanne
Lo Min-Hui
Rouillard Josselin
Li Yusong
Application of Artificial Intelligence/Machine Learning to enhance process understanding of pristine and agriculture-intensive watersheds 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. Mital Utkarsh
Jana Raghavendra
Dwivedi Dipankar
Xie Yuying