
Research
America’s Next Top EJ Model: Assessing the Role of Food Access in Environmental Justice Modeling
An undergraduate thesis under the advisement of Dr. Jesse Bell and Dr. Harshanee Jayasekera
(August 2023 - June 2024)

Presentation selected for an award at the University of Nebraska Medical Center's 2024 College of Public Health Student Research Conference
ABSTRACT
Disruptions to weather patterns and ecosystems due to climate change are a global challenge. However, previous research has found that communities of color, traditionally underprivileged communities, and socioeconomically disadvantaged communities are disproportionately burdened with adverse health outcomes, higher propensities of exposure to weather disasters and pollution, and well-being inequalities. The field of environmental justice (EJ) seeks to eliminate such disparities through environmental laws, regulations, and policies. Published in 2022, the Centers for Disease Control and Prevention (CDC) and the Agency for Toxic Substances and Disease Registry (ATSDR) formulated the Environmental Justice Index (EJI) as a data tool to identify communities of priority in EJ efforts and the specific burdens they may face in the United States. While the EJI has been successful, it is less representative of some specific issues. This cross-sectional study aims to explore the extent to which the disproportionate burden of access to healthy food is represented in the EJI at a national scale. Using the United States Department of Agriculture’s (USDA) Food Access Research Atlas (FARA), Pearson correlations between the EJI and proximity to food stores were calculated to identify the merit of index expansion. The EJI was reconstructed with the addition of food access values, and analysis suggests that food access values may improve the detection of social and health vulnerabilities facing rural communities when used within the EJI.
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Challenges and Opportunities to Reduce Nitrate Consumption through Private Well Water in Nebraska
An investigation of the human health and economic impacts of nitrate contamination in Nebraska's groundwater
(May 2022 - September 2023)

Awarded Outstanding Poster Presentation at the 2023 South Dakota Student Water Conference
ABSTRACT
Nitrate is a naturally occurring compound, however, its concentrations in groundwater can increase in response to certain human activities (e.g., fertilizing crops and recreational areas) and threaten human health when consumed in high concentrations. Surrounding studies focus on the contributing factors to nonpoint-source pollution of nitrate and adverse health outcomes of nitrate consumption respectively. This solution-based study aims to identify and understand the relevant stakeholders, at-risk populations, and potential actions and their associated barriers to reducing nitrate consumption via drinking water in Nebraska. Stakeholder interviews were conducted with agricultural professionals, policymakers, public health officials, water quality experts, educators, community leaders, and economists to gain insight into the status of nitrate contamination in the state along with its repercussions on human health and wellbeing. The findings, supplemented by background literature, suggest a disproportionate risk of nitrate exposure in rural areas of Nebraska, particularly among residents who rely on private wells for drinking water as they lack the testing and treatment mandates of Nebraska’s public water systems. The primary solutions for this population include regular water testing and investment in water treatment options. However, these populations may face a bevy of barriers to ensuring safe drinking water such as their status of property management, a lack of awareness of adverse health risks, and difficulty to access appropriate medical care. Consequently, the team produced a graphic informing decision-makers at various levels.
ACKNOWLEDGMENTS
This work was supported by the Water, Climate and Health Program, UNMC College of Public Health project, Health and Economic Impact Analysis of Nitrate Contamination of Groundwater in Nebraska, and the Daugherty Water for Food Global Institute at the University of Nebraska.
Extreme Changes in Temperature and Precipitation Across the Great Plains Using a Regional Climate Model
An undergraduate research project producing small-scale, high-resolution Earth systems models of temperature and precipitation under the advisement of Dr. Ross Dixon
(May 2021 - September 2021)

Presented at the International Conference for Undergraduate Researchers
ABSTRACT
Climate change is expected to result in alterations to precipitation patterns which may intensify natural disasters, like drought and flood. The Great Plains are particularly sensitive to changes in precipitation due to their importance to agriculture. Global climate models (GCMs) have been produced to predict future precipitation patterns, but they experience difficulty properly representing extreme behavior, especially for landlocked areas. Regional earth systems models may provide greater clarity to future climatic conditions and meaningful guidance in preparing natural resource management efforts. Using a historical period of 2000-2009 and a future period of 2085-2094, this study aims to generate and compare regional, high-resolution models with global, low-resolution models of temperature and precipitation changes in the Great Plains for June under a strong carbon forcing scenario. Climate forcing data of temperature, momentum, and moisture were extracted from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Global scale models were generated from the Community Earth Systems Model version 2 (CESM2) which also provided the boundary conditions for the regional Weather Research and Forecasting Model (WRF). The resulting future regional models exemplified a significant widespread increase in temperature with more dramatic changes than the global model across the full region. Both the regional and global precipitation models lacked statistical significance, potentially indicating a need for future studies to reevaluate the physical parameterizations, domain, and timescale run. Nonetheless, high-resolution, regional models for the Great Plains maintain relevance due to their enhanced potential to contribute knowledge to the agricultural community.
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ACKNOWLEDGMENTS
This work was supported by the Undergraduate Creative Activities and Research Experiences grant at the University of Nebraska-Lincoln.