Ashland City, Tennessee, located within the Lower Cumberland Sycamore watershed, is highly susceptible to flooding due to increased upstream water levels. This study aimed to develop a robust flood prediction model for the city, utilizing water level data at 30-minute intervals from ten USGS gauge stations within the watershed. A Gated Recurrent Unit (GRU) network, known for its ability to effectively process sequential time-series data, was used. The model was trained, validated, and tested using a year-long dataset (January 2021-January 2022), and its performance was evaluated using statistical metrics including Nash-Sutcliffe Efficiency (NSE), Root Mean Squared Error (RMSE), Percent Bias (PBIAS), Mean Absolute Error (MAE), and Coefficient of Determination (R^2). The results demonstrated a high level of accuracy, with the model explaining 98.2% of the variance in the data. Despite minor discrepancies between predicted and observed values, the GRU model proved to be an effective tool for flood prediction in Ashland City, with potential applications for enhancing disaster preparedness and response efforts in Ashland City.

In this installment of What We're Listening To, Engadget writers and editors discuss some of the recent music releases we've had on repeat. It's safe to say there's some variety on this list. Sierra Ferrell seems almost like an anachronism in 2024, but in the best possible way. She has this effortless, old-timey country style that is at points reminiscent of the likes of The Carter Family or Flatt and Scruggs (her brilliant covers of songs once performed by the latter duo are permanently seared into my brain), and it's just so refreshing. Trail of Flowers, Ferrell's second studio album, toes a little further into a more modern sound, but it maintains this deeply Americana feel that just seems to roll off the West Virginia-born artist so naturally.