Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283320928> ?p ?o ?g. }
- W4283320928 abstract "Despite the widely acknowledged public health impacts of surface water fecal contamination, there is limited understanding of seasonal effects on (i) fate and transport processes and (ii) the mechanisms by which they contribute to water quality impairment. Quantifying relationships between land use, chemical parameters, and fecal bacterial concentrations in watersheds can help guide the monitoring and control of microbial water quality and explain seasonal differences. The goals of this study were to (i) identify seasonal differences in Escherichia coli and Bacteroides thetaiotaomicron concentrations, (ii) evaluate environmental drivers influencing microbial contamination during baseflow, snowmelt, and summer rain seasons, and (iii) relate seasonal changes in B. thetaiotaomicron to anticipated gastrointestinal infection risks. Water chemistry data collected during three hydroclimatic seasons from 64 Michigan watersheds were analyzed using seasonal linear regression models with candidate variables including crop and land use proportions, prior precipitation, chemical parameters, and variables related to both wastewater treatment and septic usage. Adaptive least absolute shrinkage and selection operator (LASSO) linear regression with bootstrapping was used to select explanatory variables and estimate coefficients. Regardless of season, wastewater treatment plant and septic system usage were consistently selected in all primary models for B. thetaiotaomicron and E. coli. Chemistry and precipitation-related variable selection depended upon season and organism. These results suggest a link between human pollution (e.g., septic systems) and microbial water quality that is dependent on flow regime. IMPORTANCE In this study, a data set of 64 Michigan watersheds was utilized to gain insights into fecal contamination sources, drivers, and chemical correlates across seasons for general E. coli and human-specific fecal indicators. Results reaffirmed a link between human-specific sources (e.g., septic systems) and microbial water quality. While the importance of human sources of fecal contamination and fate and transport variables (e.g., precipitation) remain important across seasons, this study provides evidence that fate and transport mechanisms vary with seasonal hydrologic condition and microorganism source. This study contributes to a body of research that informs prioritization of fecal contamination source control and surveillance strategy development to reduce the public health burden of surface water fecal contamination." @default.
- W4283320928 created "2022-06-24" @default.
- W4283320928 creator A5027012278 @default.
- W4283320928 creator A5030978229 @default.
- W4283320928 creator A5039783728 @default.
- W4283320928 creator A5063008522 @default.
- W4283320928 creator A5068358378 @default.
- W4283320928 creator A5072286156 @default.
- W4283320928 creator A5083906163 @default.
- W4283320928 creator A5084408550 @default.
- W4283320928 date "2022-08-31" @default.
- W4283320928 modified "2023-10-02" @default.
- W4283320928 title "Detangling Seasonal Relationships of Fecal Contamination Sources and Correlates with Indicators in Michigan Watersheds" @default.
- W4283320928 cites W1431183735 @default.
- W4283320928 cites W1531538970 @default.
- W4283320928 cites W1844981334 @default.
- W4283320928 cites W1963492615 @default.
- W4283320928 cites W1965820889 @default.
- W4283320928 cites W1970375280 @default.
- W4283320928 cites W1981675027 @default.
- W4283320928 cites W1995691436 @default.
- W4283320928 cites W2001324773 @default.
- W4283320928 cites W2010072514 @default.
- W4283320928 cites W2016238746 @default.
- W4283320928 cites W2020925091 @default.
- W4283320928 cites W2042047267 @default.
- W4283320928 cites W2044870503 @default.
- W4283320928 cites W2065446346 @default.
- W4283320928 cites W2083168100 @default.
- W4283320928 cites W2090033809 @default.
- W4283320928 cites W2097360283 @default.
- W4283320928 cites W2106802000 @default.
- W4283320928 cites W2127685895 @default.
- W4283320928 cites W2135046866 @default.
- W4283320928 cites W2138593930 @default.
- W4283320928 cites W2150716871 @default.
- W4283320928 cites W2197396304 @default.
- W4283320928 cites W2332330436 @default.
- W4283320928 cites W2466368775 @default.
- W4283320928 cites W2505689249 @default.
- W4283320928 cites W2573493769 @default.
- W4283320928 cites W2611951852 @default.
- W4283320928 cites W2766533275 @default.
- W4283320928 cites W2779877599 @default.
- W4283320928 cites W2783031327 @default.
- W4283320928 cites W2809056674 @default.
- W4283320928 cites W2885727978 @default.
- W4283320928 cites W2887122252 @default.
- W4283320928 cites W2889797992 @default.
- W4283320928 cites W2898458815 @default.
- W4283320928 cites W294449290 @default.
- W4283320928 cites W2974923814 @default.
- W4283320928 cites W2989373890 @default.
- W4283320928 cites W3001694624 @default.
- W4283320928 cites W3012478040 @default.
- W4283320928 cites W3037894433 @default.
- W4283320928 cites W3096967485 @default.
- W4283320928 cites W3210330079 @default.
- W4283320928 cites W4294541781 @default.
- W4283320928 doi "https://doi.org/10.1128/spectrum.00415-22" @default.
- W4283320928 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35730960" @default.
- W4283320928 hasPublicationYear "2022" @default.
- W4283320928 type Work @default.
- W4283320928 citedByCount "2" @default.
- W4283320928 countsByYear W42833209282017 @default.
- W4283320928 countsByYear W42833209282023 @default.
- W4283320928 crossrefType "journal-article" @default.
- W4283320928 hasAuthorship W4283320928A5027012278 @default.
- W4283320928 hasAuthorship W4283320928A5030978229 @default.
- W4283320928 hasAuthorship W4283320928A5039783728 @default.
- W4283320928 hasAuthorship W4283320928A5063008522 @default.
- W4283320928 hasAuthorship W4283320928A5068358378 @default.
- W4283320928 hasAuthorship W4283320928A5072286156 @default.
- W4283320928 hasAuthorship W4283320928A5083906163 @default.
- W4283320928 hasAuthorship W4283320928A5084408550 @default.
- W4283320928 hasBestOaLocation W42833209281 @default.
- W4283320928 hasConcept C107054158 @default.
- W4283320928 hasConcept C112570922 @default.
- W4283320928 hasConcept C124956284 @default.
- W4283320928 hasConcept C125403950 @default.
- W4283320928 hasConcept C126645576 @default.
- W4283320928 hasConcept C127413603 @default.
- W4283320928 hasConcept C153294291 @default.
- W4283320928 hasConcept C187320778 @default.
- W4283320928 hasConcept C18903297 @default.
- W4283320928 hasConcept C19644921 @default.
- W4283320928 hasConcept C205649164 @default.
- W4283320928 hasConcept C2780797713 @default.
- W4283320928 hasConcept C39432304 @default.
- W4283320928 hasConcept C53739315 @default.
- W4283320928 hasConcept C58640448 @default.
- W4283320928 hasConcept C76856003 @default.
- W4283320928 hasConcept C76886044 @default.
- W4283320928 hasConcept C86803240 @default.
- W4283320928 hasConceptScore W4283320928C107054158 @default.
- W4283320928 hasConceptScore W4283320928C112570922 @default.
- W4283320928 hasConceptScore W4283320928C124956284 @default.
- W4283320928 hasConceptScore W4283320928C125403950 @default.
- W4283320928 hasConceptScore W4283320928C126645576 @default.
- W4283320928 hasConceptScore W4283320928C127413603 @default.