PM_2.5 Forecast in Korea using the Long Short-Term Memory (LSTM) Model.

ABSTRACT: The National Institute of Environmental Research, under the Ministry of Environment of Korea, provides two-day forecasts, through AirKorea, of the concentration of particulate matter with diameters of ≤ 2.5 μm (PM_2.5) in terms of four grades (low, moderate, high, and very high) over 19 districts nationwide. Particulate grades are subjectively designated by human forecasters based on forecast results from the Community Multiscale Air Quality (CMAQ) and artificial intelligence (AI) models in conjunction with weather patterns. This study evaluates forecasts from the long short-term memory (LSTM) algorithm relative to those from CMAQ-solely and AirKorea using observations from 2019. The skills of the one-day PM_2.5 forecasts over the 19 districts were 39-70% for CMAQ, 72-

SUBMITTER: Ho CH 

PROVIDER: S-EPMC9483905 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature