![]() ![]() What parts of the General Provisions apply to me? What notifications must I submit and when? What testing and monitoring requirements must I meet? Requirements for facilities with monthly throughput of 100,000 gallons of gasoline or more. Requirements for facilities with monthly throughput of 10,000 gallons of gasoline or more. Requirements for facilities with monthly throughput of less than 10,000 gallons of gasoline. What are my general duties to minimize emissions? When do I have to comply with this subpart?Įmission Limitations and Management Practices What parts of my affected source does this subpart cover? Two-thirds of the models evaluated showed better accuracy than a naïve baseline model.National Emission Standards for Hazardous Air Pollutants for Source Category: Gasoline Dispensing FacilitiesĪm I subject to the requirements in this subpart? The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. ![]() A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. Starting in April 2020, the US COVID-19 Forecast Hub ( ) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. analyzed data and E.Y.C., E.L.R., V.K.L., J. contributed new reagents/analytic tools E.Y.C., E.L.R., J. Gardner, K.N., J.C.B., Lily Wang, L.G., Z. Sheldon, G.C.G., R.Y., Liyao Gao, Y.M., D. Author contributions: E.Y.C., E.L.R., V.K.L., J.
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