Natalie C Hall is a Physical Scientist at the Maryland-Delaware-D.C. Water Science Center.
Originally from South Africa, Natalie is a Physical Scientist at the Maryland-Delaware-D.C. Water Science Center. She has a PhD in Environmental Science and Public Policy, with a focus on molecular microbiology. Since joining the USGS in 2014, Natalie’s work has been dedicated to water quality, urban stormwater, and microbial communities in the soils of urban stormwater best management practices (BMPs). Her current research interests include bacterial denitrifiers and hyperspectral imagery of harmful algal blooms (HABs).
Education and Certifications
PhD, Environmental Science and Policy (Molecular Microbiology), George Mason University
MA International Politics (Strategic Studies), University of Pretoria, South Africa
BA Politics and Languages, University of Pretoria, South Africa
Science and Products
Understanding the Effects of Stormwater Management Practices on Water Quality and Flow
Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data
Lessons learned from 20 y of monitoring suburban development with distributed stormwater management in Clarksburg, Maryland, USA
The presence of denitrifiers in bacterial communities of urban stormwater best management practices (BMPs)
Soil characteristics and microbial taxonomy in selected urban stormwater best management practices (BMPs) in Clarksburg, MD, 2015
Science and Products
- Science
Understanding the Effects of Stormwater Management Practices on Water Quality and Flow
Urban development can have detrimental impacts on streams including altering hydrology, increasing nutrient, sediment, and pollutant loadings, and degrading biological integrity. Stormwater Best Management Practices (BMPs) can be used to mitigate the effects of urban development by retaining large volumes of stormwater runoff and treating runoff to remove pollutants. This project focuses on... - Publications
Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data
Algal blooms around the world are increasing in frequency and severity, often with the possibility of adverse effects on human and ecosystem health. The health and economic impacts associated with harmful algal blooms, or HABs, provide compelling rationale for developing new methods for monitoring these events via remote sensing. Although concentrations of chlorophyll-a and key pigments like phycoLessons learned from 20 y of monitoring suburban development with distributed stormwater management in Clarksburg, Maryland, USA
Urban development is a well-known stressor for stream ecosystems, presenting a challenge to managers tasked with mitigating its effects. For the past 20 y, streamflow, water quality, geomorphology, and benthic communities were monitored in 5 watersheds in Montgomery County, Maryland, USA. This study presents a synthesis of multiple studies of monitoring efforts in the study area and new analysis oThe presence of denitrifiers in bacterial communities of urban stormwater best management practices (BMPs)
Stormwater best management practices (BMPs) are engineered structures that attempt to mitigate the impacts of stormwater, which can include nitrogen inputs from the surrounding drainage area. The goal of this study was to assess bacterial community composition in different types of stormwater BMP soils to establish whether a particular BMP type harbors more denitrification potential. Soil sampling - Data
Soil characteristics and microbial taxonomy in selected urban stormwater best management practices (BMPs) in Clarksburg, MD, 2015
The data were gathered as a preliminary assessment of soil microbiology and conditions in selected urban stormwater best management practices (BMPs) in Clarksburg, MD. Four bioretention facilities (BF), four dry ponds (DP), and four surface sand filters (SSF) were selected. Three samples were taken from each BMP (a single sample from one dry swale (DS) was also collected). BMPs were selected based - Multimedia