Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts

Prior analysis of bacteria levels in the Schuylkill River has led to a categorical daily forecast of water quality. The forecast, available online to the public through the Philadelphia Water Department website, is predominantly based on local streamflow and precipitation data. In this study, we exp...

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Main Author: Leung, Kinman
Format: Text
Language:English
Published: Drexel University 2021
Subjects:
Online Access:https://dx.doi.org/10.17918/etd-4246
https://ResearchDiscovery.drexel.edu/discovery/fulldisplay/alma991014632409604721/01DRXU_INST:ResearchRepository
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spelling ftdatacite:10.17918/etd-4246 2023-05-15T17:32:50+02:00 Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts Leung, Kinman 2021 application/pdf https://dx.doi.org/10.17918/etd-4246 https://ResearchDiscovery.drexel.edu/discovery/fulldisplay/alma991014632409604721/01DRXU_INST:ResearchRepository en eng Drexel University Open Civil engineering FOS Civil engineering Water quality--Measurement--Pennsylvania--Philadelphia Water quality--Long-range weather forecasts--Pennsylvania--Philadelphia Text Master thesis article-journal ScholarlyArticle 2021 ftdatacite https://doi.org/10.17918/etd-4246 2021-11-05T12:55:41Z Prior analysis of bacteria levels in the Schuylkill River has led to a categorical daily forecast of water quality. The forecast, available online to the public through the Philadelphia Water Department website, is predominantly based on local streamflow and precipitation data. In this study, we explore the feasibility of extending the forecast to the seasonal scale by associating large‐scale climate drivers with local streamflow and water quality parameter levels. This advance information may be relevant for decision‐makers concerned with recreational activities, ecosystem health, and water treatment (energy, chemicals), as the Schuylkill River provides approximately 40% of Philadelphia's water supply. Results indicate moderately skillful prediction of average summer total coliform and winter turbidity, using season‐ahead oceanic and atmospheric variables, predominantly from the North Atlantic Ocean. Models predicting the number of elevated turbidity events across the winter season are also explored. Text North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Civil engineering
FOS Civil engineering
Water quality--Measurement--Pennsylvania--Philadelphia
Water quality--Long-range weather forecasts--Pennsylvania--Philadelphia
spellingShingle Civil engineering
FOS Civil engineering
Water quality--Measurement--Pennsylvania--Philadelphia
Water quality--Long-range weather forecasts--Pennsylvania--Philadelphia
Leung, Kinman
Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts
topic_facet Civil engineering
FOS Civil engineering
Water quality--Measurement--Pennsylvania--Philadelphia
Water quality--Long-range weather forecasts--Pennsylvania--Philadelphia
description Prior analysis of bacteria levels in the Schuylkill River has led to a categorical daily forecast of water quality. The forecast, available online to the public through the Philadelphia Water Department website, is predominantly based on local streamflow and precipitation data. In this study, we explore the feasibility of extending the forecast to the seasonal scale by associating large‐scale climate drivers with local streamflow and water quality parameter levels. This advance information may be relevant for decision‐makers concerned with recreational activities, ecosystem health, and water treatment (energy, chemicals), as the Schuylkill River provides approximately 40% of Philadelphia's water supply. Results indicate moderately skillful prediction of average summer total coliform and winter turbidity, using season‐ahead oceanic and atmospheric variables, predominantly from the North Atlantic Ocean. Models predicting the number of elevated turbidity events across the winter season are also explored.
format Text
author Leung, Kinman
author_facet Leung, Kinman
author_sort Leung, Kinman
title Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts
title_short Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts
title_full Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts
title_fullStr Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts
title_full_unstemmed Water Quality in the Schuylkill River, Pennsylvania: The Potential for Long‐Lead Forecasts
title_sort water quality in the schuylkill river, pennsylvania: the potential for long‐lead forecasts
publisher Drexel University
publishDate 2021
url https://dx.doi.org/10.17918/etd-4246
https://ResearchDiscovery.drexel.edu/discovery/fulldisplay/alma991014632409604721/01DRXU_INST:ResearchRepository
genre North Atlantic
genre_facet North Atlantic
op_rights Open
op_doi https://doi.org/10.17918/etd-4246
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