Stefan Andreas Voss

Mr. Stefan Andreas Voss

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 November 2024 in Science
Verified
Journal Article
Closed access
ATAndrea K. Tokranov
Andrea K. Tokranov
KRKatherine M. Ransom
Katherine M. Ransom
LBLaura M. Bexfield
Laura M. Bexfield
BLBruce D. Lindsey
Bruce D. Lindsey
EWElise Watson
Elise Watson
PBPaul M. Bradley
Paul M. Bradley
Per- and polyfluoroalkyl substances (PFAS), known colloquially as “forever chemicals,” have been associated with adverse human health effects and have contaminated drinking water supplies across the United States owing to their long-term and widespread use. People in the United States may unknowingly be drinking water that contains PFAS because of a lack of systematic analysis, particularly in domestic water supplies. We present an extreme gradient–boosting model for predicting the occurrence of PFAS in groundwater at the depths of drinking water supply for the conterminous United States. Our model results indicate that 71 million to 95 million people in the conterminous United States potentially rely on groundwater with detectable concentrations of PFAS for their drinking water supplies before any treatment.

7 September 2021 in Geophysical Research Letters
Verified
Journal Article
Open access
PDF file
ZLZeno Levy
Zeno Levy
BJBryant C. Jurgens
Bryant C. Jurgens
KBKaren R. Burow
Karen R. Burow
SVStefan Andreas Voss
Stefan Andreas Voss
KFKirsten E. Faulkner
Kirsten E. Faulkner
MFMiranda S. Fram
Miranda S. Fram
Drought‐induced pumpage has precipitated dramatic groundwater‐level declines in California's Central Valley over the past 30 yr, but the impacts of aquifer overdraft on water quality are poorly understood. This study coupled over 160,000 measurements of nitrate from ∼6,000 public‐supply wells with a 30 yr reconstruction of groundwater levels throughout the Central Valley to evaluate dynamic relations between aquifer exploitation and resource quality. We find that long‐term rates of groundwater‐level decline and water‐quality degradation in critically overdrafted basins accelerate by respective factors of 2–3 and 3–5 during drought, followed by brief reversals during wetter periods. Episodic water‐quality degradation can occur during drought where increased pumpage draws shallow, contaminated groundwater down to depth zones tapped by long‐screened production wells. These data show, for the first time, a direct linkage between climate‐mediated aquifer pumpage and groundwater quality on a regional scale.

2 May 2019 in Analytical Methods
Verified
Journal Article
Closed access
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SVStefan Andreas Voss
Stefan Andreas Voss
ENElisabeth Newman
Elisabeth Newman
JMJustin Miller-Schulze
Justin Miller-Schulze
Sucralose is an increasingly popular artificial sweetener and has been found in the environment in groundwater, surface water, and wastewater treatment plant effluent. Its chemical properties make it strongly recalcitrant in the environment and it has been used as a conservative tracer of human wastewater in recent years. Most current methods of sucralose analysis use high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) instrumentation. In this study, we describe an analytical method using silylation derivatization and gas chromatography mass spectrometry (GC-MS) for the quantification of sucralose in groundwater samples. This method employs a deuterium-labeled internal standard to account for reaction and sample processing imprecision. The deuterated internal standard as well as experiments using negative ion chemical ionization gas chromatography-mass spectrometry strongly indicate that sucralose is derivatized at all five hydroxyl positions with trimethyl silyl groups. A previously developed GC-MS method with derivatization of sucralose in environmental samples did not employ an internal standard for quantification. As such, this method represents a more robust methodological approach for sucralose quantification in environmental samples. The method detection limit based on a set of 15 method blanks was calculated to be 21.8 ng L−1, which is competitive with most methods in the published literature and sufficient to detect sucralose in water with ∼0.1% wastewater contribution. The method was applied to 37 groundwater samples from drinking water wells in California's Central Valley, in which five samples (13.5%) were found to contain sucralose at concentrations greater than the 21.8 ng L−1 detection limit.

1 January 2019
Verified
Report
Closed access
PDF file
SVStefan Andreas Voss
Stefan Andreas Voss
BJBryant C. Jurgens
Bryant C. Jurgens
MFMiranda S. Fram
Miranda S. Fram
GBGeorge L. Bennett
George L. Bennett
Identification of the groundwater resources used for drinking-water supplies is essential for the design of strategies to manage those resources. In this study, the spatial extent, depths, thicknesses, and volumes of groundwater aquifers used for domestic and public drinking-water supply were estimated from locations and well-construction data from 11,725 domestic-supply wells and 2,376 public-supply wells in the Central Valley, California. The data were compiled as part of the U.S. Geological Survey National Water Quality Assessment Project and California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment Program Priority Basin Project. The spatial distributions of the depth to top and bottom of well screens were interpolated using Empirical Bayesian Kriging across buffer areas surrounding domestic- and public-supply wells. These surfaces provide a measure of the likely maximum horizontal and vertical extent of the aquifer volume accessed for drinking water in the Central Valley during the past century. Well depth generally increased from north to south, and over time from 1905 to 2010. Well-construction depths were generally more consistent in the Sacramento Valley than in the San Joaquin Valley. The total potential aquifer volume accessed for public supply was calculated to be greater than domestic-supply access, even though the estimated spatial extent of domestic-supply wells was 1.5 times larger than the spatial extent of public-supply wells. Public-supply wells commonly have screen lengths greater than 51 meters, whereas domestic-supply wells typically have shorter screen lengths (overall median of 6 meters). Consequently, the accessed thickness and volume of the aquifer is on average 1.8 and 1.4 times greater for public-supply wells than domestic-supply wells, respectively. Results are presented as maps of areal extent, depth, and thickness of zones in the Central Valley aquifer system used for domestic and public drinking-water supplies.

14 October 2026 in Land
Verified
Journal Article
Open access
PDF file
SVStefan Andreas Voss
Stefan Andreas Voss
WHWesley R. Henson
Wesley R. Henson
Accurate, spatially resolved agricultural land-use data are essential for estimating water demand, evaluating agricultural production, and understanding long-term changes in managed landscapes. However, existing land-use datasets are often temporally discontinuous, particularly for historical periods, and remotely sensed classifications face persistent challenges distinguishing spectrally similar crop types, capturing sub-annual rotations, and separating active from abandoned plantings. We developed the California Pesticide Use Reporting Land-Use Estimator (CalPUR-LUE), which converts grower-reported pesticide-application records into annual estimates of land use by crop class and cropped acreage at approximately 1-square-mile resolution across California. CalPUR-LUE performance was evaluated for 2018 using complementary spatial, categorical, and quantitative comparisons with California Department of Water Resources (CADWR) remotely sensed land-use data and county-level agricultural economic reports. At the county-meridian-township-range-section (COMTRS) scale, CalPUR-LUE and CADWR acreage estimates showed substantial proportional agreement (log-transformed Lin’s concordance correlation coefficient = 0.77) with a mean proportional bias of −15%. Crop-class agreement was high when CalPUR-LUE identified agricultural activity, with user’s accuracy exceeding 83% for all evaluated crop classes. Overall categorical agreement was 67% (Cohen’s kappa = 0.56). Grain crop underestimation contributed substantially to disagreement; however, there is evidence of CADWR systematic overestimation of grain during 2016–2019. County-level agricultural reports further corroborated CalPUR-LUE estimates and, in several cases, aligned more closely with CalPUR-LUE than with CADWR. These results demonstrate that pesticide-use reporting provides an independent and complementary source of agricultural land-use information that can corroborate contemporary estimates and reconstruct annual spatially distributed land use where historical data are limited.