scholarly journals Climatological analysis of tropical cyclone impacts on hydrological extremes in the Mid-Atlantic region of the United States

Author(s):  
Ning Sun ◽  
Mark S. Wigmosta ◽  
David Judi ◽  
Zhaoqing Yang ◽  
Ziyu Xiao ◽  
...  
Author(s):  
Brienna L. Anderson-Coughlin ◽  
Shani Craighead ◽  
Alyssa Kelly ◽  
Samantha Gartley ◽  
Adam Vanore ◽  
...  

Enteric viruses (EV) are the largest contributors to foodborne illness and outbreaks globally. Their ability to persist in the environment, coupled with the challenges experienced in environmental monitoring create a critical aperture through which agricultural crops may become contaminated. This study involved a seventeen-month investigation of select human enteric viruses and viral indicators in non-traditional irrigation water sources, surface and reclaimed waters, in the Mid-Atlantic region of the United States. Real-time quantitative PCR was used for detection of Aichi virus, hepatitis A virus, noroviruses GI and GII. Pepper mild mottle virus (PMMoV), a common viral indicator of human fecal contamination, was also evaluated along with atmospheric (air and water temperature, cloud cover, and precipitation 24 h, 7 d and 14 d prior to sample collection) and physicochemical (dissolved oxygen, pH, salinity and turbidity) data to determine if there were any association between EV and measured parameters. EV were detected more frequently in reclaimed waters (32%, n=22) than in surface waters (4%, n=49) similar to PMMoV detection frequency in surface (33%, n=42) and reclaimed (67%, n=21) water. Our data show a significant correlation between EV and PMMoV (R2=0.628; p<0.05) detection in reclaimed water samples, but not in surface waters (R2=0.476; p=0.78). Water salinity significantly affected the detection of both EV and PMMoV (p<0.05) as demonstrated by logistic regression analyses. These results provide relevant insights into the extent and degree of association between human enteric (pathogenic) viruses and water quality data in Mid-Atlantic surface and reclaimed waters as potential sources for agricultural irrigation. IMPORTANCE Microbiological analysis of agricultural waters is fundamental to ensure microbial food safety. The highly variable nature of non-traditional sources of irrigation water are particularly difficult to test for the presence of viruses. Multiple characteristics influence viral persistence in a water source as well as affect the recovery and detection methods which are employed. Testing for a suite of viruses in water samples is often too costly and labor intensive, making identification of suitable indicators for viral pathogen contamination necessary. The results from this study address two critical data gaps: enteric virus prevalence in surface and reclaimed waters of the Mid-Atlantic region of the United States and subsequent evaluation of physicochemical and atmospheric parameters used to inform the potential for use of indicators of viral contamination.


2020 ◽  
Vol 36 (6) ◽  
Author(s):  
Bernhard Lee Lindner ◽  
William Holden ◽  
Aaron Neuhauser ◽  
Ryan Evsich

Author(s):  
J. F. Paul ◽  
C. J. Strobel ◽  
B. D. Melzian ◽  
J. A. Kiddon ◽  
J. S. Latimer ◽  
...  

2020 ◽  
Vol 56 (2) ◽  
pp. 404-424 ◽  
Author(s):  
Jennifer L. Wolny ◽  
Todd A. Egerton ◽  
Sara M. Handy ◽  
Whitney L. Stutts ◽  
Juliette L. Smith ◽  
...  

2013 ◽  
Vol 141 (9) ◽  
pp. 3186-3202 ◽  
Author(s):  
Scott D. Rudlosky ◽  
Henry E. Fuelberg

Abstract Storm severity in the mid-Atlantic region of the United States is examined using lightning, radar, and model-derived information. Automated Warning Decision Support System (WDSS) procedures are developed to create grids of lightning and radar parameters, cluster individual storm features, and data mine the lightning and radar attributes of 1252 severe and nonsevere storms. The study first examines the influence of serial correlation and uses autocorrelation functions to document the persistence of lightning and radar parameters. Decorrelation times are found to vary by parameter, storm severity, and mathematical operator, but the great majority are between three and six lags, suggesting that consecutive 2-min storm samples (following a storm) are effectively independent after only 6–12 min. The study next describes the distribution of lightning jumps in severe and nonsevere storms, differences between various types of severe storms (e.g., severe wind only), and relationships between lightning and radar parameters. The 2σ lightning jump algorithm (with a 10 flashes min−1 activation threshold) yields 0.92 jumps h−1 for nonsevere storms and 1.44 jumps h−1 in severe storms. Applying a 10-mm maximum expected size of hail (MESH) threshold to the 2σ lightning jump algorithm reduces the frequency of lightning jumps in nonsevere storms to 0.61 jumps h−1. Although radar-derived parameters are comparable between storms that produce severe wind plus hail and those that produce tornadoes, tornadic storms exhibit much greater intracloud (IC) and cloud-to-ground (CG) flash rates. Correlations further illustrate that lightning data provide complementary storm-scale information to radar-derived measures of storm intensity.


1986 ◽  
Vol 60 (1) ◽  
pp. 104-120 ◽  
Author(s):  
Michael Nash

From its beginnings in the private library of Pierre S. du Pont, the Hagley Museum and Library has grown into a leading resource for business historians, particularly for those interested in the development of the mid-Atlantic region of the United States. In this thorough description of the Hagley's collections, Dr. Nash demonstrates the breadth and depth of its holdings, from the papers of the eighteenth-century Physiocrats to those of New Deal and post-World War II companies and business leaders.


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