Estimation of wet deposition of sulfate using routinely available meteorological data and air-monitored data in Korea

Soon Ung Park, Young Hee Lee, Hee Jin In

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

A method is developed to estimate wet deposition of sulfate using routinely available meteorological data and air-monitored data. This approach takes into account different mechanisms of precipitation formation that determines sulfate concentration in precipitation water. Four different precipitating cloud types, including cold cloud, warm cloud, stratified layered cloud and convective cloud, according to their precipitation formations are incorporated differently to estimate sulfate concentration in precipitation water with the airborne sulfate concentration estimated by routinely available monitored data by regression equations. Two different regression equations for the estimation of airborne sulfate concentration are developed: one is applicable in winter, and the other in other seasons except for winter. The presently developed algorithm has been implemented in Seoul to estimate wet deposition of sulfate in 1997 when the measured wet deposition of sulfate is available. The estimated annual total wet deposition of sulfate in Seoul is found to be 3450 and 3770kgkm-2yr-1 without and with consideration of the oxidation of SO2 in clouds, respectively, which is quite comparable with the measured value of 3510kgkm-2yr-1. This result suggests that the present model can be used more practically in the field of acid rain study, especially in cases of the lack of monitoring sites for wet deposition. Copyright (C) 2000 Elsevier Science Ltd.

Original languageEnglish
Pages (from-to)3249-3258
Number of pages10
JournalAtmospheric Environment
Volume34
Issue number20
DOIs
StatePublished - 2000

Keywords

  • Airborne sulfate concentration
  • Cloud types
  • Regression model
  • Sulfate concentration in precipitation
  • Wet deposition of sulfate

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