Published September 2002 | Version v1
Journal article

Simulations of monthly mean nitrate concentrations in precipitation over East Asia

  • 1. Chinese Academy of Sciences, Beijing (China). Institute of Atmospheric Physics
  • 2. Acid Deposition and Oxidant Research Center, Niigata-shi (Japan)
  • 3. Frontier Research System for Global Change - ICGR Yokohama (Japan)
  • 4. Kyoto University (Japan). Disaster Prevention Research Institute

Description

Monthly mean nitrate concentrations in precipitation over East Asia (10-55oN, 75-155oE) in April, July, September, and December of 1999 were simulated by using a regional air quality Eulerian model (RAQM) with meteorological fields four times per day taken from National Centers for Environmental Prediction. The distribution of the nitrate concentration in precipitation depends significantly on the emission patterns of nitrogen oxides (NOx=NO+NO2) and volatile organic compound (VOC) and seasonal precipitation variability. The downward trend is also revealed, particularly on July and December. Highest concentrations are found in the industrialized regions, i.e., the coastal area of the Mainland of China, the Bay of the Huanghai Sea and the Bohai Sea, Korea, and Southern Japan. Long-range transport may cause elevated concentrations in remote areas downwind of the industrialized regions under favorable meteorological conditions, e.g., low precipitation. Comparison of observation and simulations indicates that the RAQM model reasonably predicts synoptic-scale changes in different months (seasons) and simulated nitrate levels in 4 months fit observed data with the discrepancy within a factor of 2. Exclusion of liquid chemistry within clouds is feasible for regional (1ox1o) and long-term (monthly) nitrate simulations. The uncertainty originates mainly from that of the emission data and modeled precipitation amounts and initial and boundary conditions. (author)

Additional details

Publishing Information

Journal Title
Atmospheric Environment (1994)
Journal Volume
36
Journal Issue
26
Journal Page Range
p. 4159-4171
ISSN
1352-2310
CODEN
AENVEQ