@article{neville_emanuel_ardon_pavelsky_2023, title={Location and Design of Flow Control Structures Differentially Influence Salinity Patterns in Small Artificial Drainage Systems}, volume={149}, ISSN={["1943-5452"]}, url={https://doi.org/10.1061/JWRMD5.WRENG-5840}, DOI={10.1061/JWRMD5.WRENG-5840}, abstractNote={Saltwater intrusion is a pervasive threat to coastal ecosystems. Common management strategies entail the installment of engineered flow control structures, though there is a dearth of work on their prevalence across the landscape and how different structures impact salinity under various hydrologic conditions. We manually classified more than 900 structures with most either being culvert pipes or riser structures. We then investigated how these structures impacted salinity in surface waters after the landfall of Hurricane Florence in 2018 and during the Summer of 2020. To accomplish this, we combined longitudinal and depth surveys, with long-term monitoring of salinity up and downstream of three flow control structures. Our results reveal that a flow control structure’s ability to exclude or trap saltwater from/in upstream environments depends on its position inland and design. Engineered structures were effective at excluding saltwater, while unintentional structures sometimes trapped saltwater in upstream environments. This work sheds light on important factors land managers should consider when putting in place new structures for freshwater management purposes.}, number={6}, journal={JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT}, author={Neville, Justine A. and Emanuel, Ryan E. and Ardon, Marcelo and Pavelsky, Tamlin}, year={2023}, month={Jun} }
 @article{neville_guz_rosko_owens_2022, title={Water quality inequality: a non-targeted hotspot analysis for ambient water quality injustices}, ISSN={["2150-3435"]}, DOI={10.1080/02626667.2022.2052073}, abstractNote={Water is an essential human resource tied to many social and environmental needs and values. Although water has been a focal point of many environmental justice studies, ambient water quality (i.e. water quality before the tap) has been overlooked. This oversight has resulted in only a partial understanding of how water quality may correlate with communities facing environmental justice issues. We analysed data from the US Environmental Protection Agency STOrage and Retrieval (STORET) database and the 2010 US Census to identify poor ambient water quality within non-white and low-income communities across the Southeastern USA using hotspot analysis, ordinary least squares, and geographically weighted regressions. Our analyses indicate that non-white and low-income communities are significantly impacted by copper, lead, and mercury contamination. Race correlates more strongly with poor ambient water quality than do community income levels. The results suggest our approach and analyses are effective for identifying potential environmental justice issues across large spatial scales using a top-down rather than a bottom-up approach.}, journal={HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES}, author={Neville, Justine A. and Guz, Jaclyn and Rosko, Helen M. and Owens, Mitchell C.}, year={2022}, month={Apr} }
 @article{neville_emanuel_nichols_vose_2021, title={Extreme Flooding and Nitrogen Dynamics of a Blackwater River}, volume={57}, ISSN={["1944-7973"]}, url={http://dx.doi.org/10.1029/2020wr029106}, DOI={10.1029/2020WR029106}, abstractNote={Abstract Extreme floods, including those expected to become more frequent in a warming world, may impact nutrient metabolism in streams. However, flood impacts on spatial and temporal variability of nutrient dynamics on large rivers (e.g., fourth order and higher) have been understudied. In 2016, Hurricane Matthew provided a unique opportunity to evaluate nitrate retention and processing on the Lumbee River, a blackwater stream in southeastern North Carolina. The 3,000+ km 2 watershed received as much as 400 mm of rain in 48 hr as the storm moved across the Atlantic Coastal Plain. Resulting floods in the watershed were the largest on record, based on more than 80 years of continuous streamflow measurements at the watershed outlet. We used a modified Lagrangian sampling method to collect water samples and supporting water quality data at multiple points along three reaches of the Lumbee River for several months before and after Hurricane Matthew. Samples were analyzed for nitrate‐nitrogen and used to estimate retention and areal uptake rates for multiple subsections within each reach. Although nitrate‐nitrogen concentrations did not change significantly after the flood, we found that the spatial variability of within‐reach retention and areal uptake increased substantially following the flood, evidenced by changes to within‐reach interquartile ranges. The spatial variability of areal uptake returned to pre‐flood levels approximately eight months after Hurricane Matthew, but retention variability remained elevated at the end of our field study. These results highlight the potential for extreme flooding to impact biogeochemical processes in large rivers long after flood waters subside.}, number={12}, journal={WATER RESOURCES RESEARCH}, publisher={American Geophysical Union (AGU)}, author={Neville, J. A. and Emanuel, R. E. and Nichols, E. G. and Vose, J.}, year={2021}, month={Dec} }