Abstract
ABSTRACT Time series models of reservoir water quality are water resource management tools and provide insight into reservoir dynamics since they account for autocorrelation, seasonality, and trends present in the data. Autoregressive integrated moving average (ARIMA) models were applied to describe patterns in selected water quality variables of Red Rock Lake, Iowa. Models were generated for total phosphorus, total nitrogen, and suspended solids for an 8-year period (1972–1979). Patterns in lake concentration and the usefulness of time series models to lake and reservoir management are described.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
