Jordan L Wilson
My research interests are in the use of trees to characterize subsurface contamination, measuring the subsurface sampling volume associated with trees, and using trees as indicators of vapor-intrusion risk. My other interests are in chemical fate and transport, Python programming, development of mobile phone applications, application of microbial source tracking, and groundwater modeling.
Biography
Research Hydrologist, 2013 - Present
Adjunct Faculty, Missouri State University, Department of Geography, Geosciences and Planning, 2020-Present
Adjunct Assistant Professor, Missouri University of Science and Technology, Department of Civil, Environmental, and Architectural Engineering, 2019 -Present
Student Hydrologist, 2011 - 2013
Education:
PhD, Missouri Univeristy of Science and Technology-Civil Engineering, 2017
MS, Missouri Univeristy of Science and Technology-Environmental Engineering, 2013
BS, Missouri Univeristy of Science and Technology-Environmental Engineering, 2011
Science and Products
Waterbody Rapid Assessment Tool (WaterRAT): 3-dimensional Visualization of High-Resolution Spatial Data
Autonomous Underwater Vehicles (AUVs) are instruments that collect water-quality, depth, and other data in waterbodies. They produce complex and massive datasets. There is currently no standard method to store, organize, process, quality-check, analyze, or visualize this data. The Waterbody Rapid Assessment Tool (WaterRAT) is aPython application that processes and displays water-quality data...
Trees as bioindicators of potential indoor exposure via vapor intrusion
Scientists wanted to find out if trees can serve as indicators for vapor intrusion.
What can trees tell us about the air we breathe at home?
Science Journal Kids - Cutting edge peer-reviewed science...
Autonomous Underwater Vehicle Water-Quality and Sonar Measurements in Delaware River near Philadelphia, Pennsylvania, 2019
These data sets were created in support of the U.S. Geological Survey's (USGS) Next Generation Water Observing System (NGWOS) for the Delaware River Basin pilot study (Eberts, Wagner, and Woodside, 2019). The NGWOS utilizes real-time data, improved computational capabilities, and new technologies such as the rapid deployment of unmanned aerial vehicle's (UAV) and aut
Concentrations of Major and Trace Elements in Streambed and Floodplain Sediment along the Middle Big River and Tributaries in the Southeast Missouri Barite District and in Quality-Assurance Samples, 2012-15
This U.S. Geological Survey (USGS) Data Release contains locations and concentrations of metals in various size fractions in floodplain-core, streambed-sediment samples, and sediment deposited on the flood plain from the December 2015 flood and underlying soils collected from along the Middle Big River and tributaries in the Southeast Missouri Barite District from 2012 to 2015. All sample
Concentrations of tetrachloroethylene in interpolated soil surface boundary points at the Vienna Wells Site: Maries County, Missouri.
Concentrations of tetrachloroethylene (PCE) in interpolated soil surface boundary points at the Vienna Wells Site: Maries County, Missouri. This boundary is composed of points with an assumed PCE concentration of 11 micrograms per kilogram (detection limit) and was used with the soil sample dataset (doi: 10.5066/F71835D8) to create an interpolated surface.
Concentrations of tetrachloroethylene in tree-core samples from tree 29 at the Vienna Wells site on May 21, 2015, Vienna, Missouri.
Concentrations of tetrachloroethylene in tree-core samples from tree 29 at the Vienna Wells site, Vienna, Missouri. Contains information on the height and side of the tree from where the sample was collected.
Concentrations of tetrachloroethylene in points from interpolated tetrachloroethylene soil data at the Vienna Wells Site: Maries County, Missouri, 2012-2015.
Concentrations of tetrachloroethylene (PCE) in points from interpolated tetrachloroethylene soil data gridded at a 1-m interval at the Vienna Wells site, Vienna, Missouri, 2012-2015. These data were extracted at 1-meter intervals from interpolating published soil data (doi: https://doi.org/10.5066/F71835D8), which was created using the inverse-...
Concentrations of tetrachloroethylene in soil-gas samples from York, Nebraska, 2016.
These data contain concentrations of tetrachloroethylene in soil-gas samples collected from 2014 to 2016 by the EPA.In order to protect personally identifiable information (PII), all data collected by the U.S. Environmental Protection Agency do not contain spatial information. Please contact the U.S. Environmental Protection Agency for permission and access to spatial information for these
Concentrations of constituents in soil samples at the Vienna Wells Site: Maries County, Missouri, 2012-2015
This dataset contains the soil data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (EPA). Concentrations of tetrachloroethylene (PCE), trichloroethylene (TCE), and 1,1,2-Trichloro-1,2,2-trifluoroethane (CFC-113) are provided in micrograms per kilogram. Sample depth
Average concentrations of constituents in tree-core samples at the Vienna Wells Site: Maries County, Missouri, 2012-2015
This dataset contains the tree-core data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey. Concentrations of tetrachloroethylene (PCE), trichloroethylene (TCE), and 1,1,2-Trichloro-1,2,2-trifluoroethane (CFC-113) are provided in nanograms per liter. Concentrations in tree-core samples are averages of multiple samples collecte
Average concentration of constituents in groundwater samples at the Vienna Wells Site: Maries County, Missouri, 2013-2016
This dataset contains the groundwater data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey. Concentrations of tetrachloroethylene (PCE), trichloroethylene (TCE), and 1,1,2-Trichloro-1,2,2-trifluoroethane (CFC-113) are provided in micrograms per liter. A total of 56 groundwater samples were collected from monitoring wells on
What can trees tell us about the air we breathe at home?
The air in houses can be affected by bad stuff, called contaminants. Sometimes harmful chemicals enter the air in buildings from nearby contaminated soil and groundwater through cracks or gaps in the foundation – a process known as vapor intrusion. This poses some risk to our health because we spend so much of our time indoors. Currently it’s...
Wilson, Jordan L.; Samaranayake, V.A.; Limmer, Matthew A.; Burken, JoelPhytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion
Human exposure to volatile organic compounds (VOCs) via vapor intrusion (VI) is an emerging public health concern with notable detrimental impacts on public health. Phytoforensics, plant sampling to semi-quantitatively delineate subsurface contamination, provides a potential non-invasive screening approach to detect VI potential, and plant...
Wilson, Jordan L.; Samaranayake, V.A.; Limmer, Matthew A.; Burken, Joel G.Contaminant gradients in trees: Directional tree coring reveals boundaries of soil and soil-gas contamination with potential applications in vapor intrusion assessment
Contaminated sites pose ecological and human-health risks through exposure to contaminated soil and groundwater. Whereas we can readily locate, monitor, and track contaminants in groundwater, it is harder to perform these tasks in the vadose zone. In this study, tree-core samples were collected at a Superfund site to determine if the sample-...
Wilson, Jordan L.; Samaranayake, V.A.; Limmer, Matthew A.; Schumacher, John G.; Burken, Joel G.Tree sampling as a method to assess vapor intrusion potential at a site characterized by VOC-contaminated groundwater and soil
Vapor intrusion (VI) by volatile organic compounds (VOCs) in the built environment presents a threat to human health. Traditional VI assessments are often time-, cost-, and labor-intensive; whereas traditional subsurface methods sample a relatively small volume in the subsurface and are difficult to collect within and near structures. Trees could...
Wilson, Jordan L.; Limmer, Matthew A.; Samaranayake, V.A.; Schumacher, John G.; Burken, Joel G.Phytoforensics—Using trees to find contamination
The water we drink, air we breathe, and soil we come into contact with have the potential to adversely affect our health because of contaminants in the environment. Environmental samples can characterize the extent of potential contamination, but traditional methods for collecting water, air, and soil samples below the ground (for example, well...
Wilson, Jordan L.Persistence and microbial source tracking of Escherichia coli at a swimming beach at Lake of the Ozarks State Park, Missouri
The Missouri Department of Natural Resources (MDNR) has closed or posted advisories at public beaches at Lake of the Ozarks State Park in Missouri because of Escherichia coli (E. coli) concentration exceedances in recent years. Spatial and temporal patterns of E. coliconcentrations, microbial source tracking, novel...
Wilson, Jordan L.; Schumacher, John G.; Burken, Joel G.Occurrence and origin of Escherichia coli in water and sediments at two public swimming beaches at Lake of the Ozarks State Park, Camden County, Missouri, 2011-13
In the past several years, the Missouri Department of Natural Resources has closed two popular public beaches, Grand Glaize Beach and Public Beach 1, at Lake of the Ozarks State Park in Osage Beach, Missouri when monitoring results exceeded the established Escherichia coli (E. coli) standard. As a result of the beach closures, the U.S. Geological...
Wilson, Jordan L.; Schumacher, John G.; Burken, Joel G.