[摘要] Model-measurement comparisons of HO
x in extremely cleanair ([NO]<3 ppt) are reported. Measurements weremade during the second Southern Ocean Photochemistry Experiment(SOAPEX-2), held in austral summer 1999 at the Cape Grim BaselineAir Pollution Station in north-western Tasmania, Australia.
The free-radical chemistry was studied using a zero-dimensionalbox-model based upon the Master Chemical Mechanism (MCM). Twoversions of the model were used, with different levels of chemicalcomplexity, to explore the role of hydrocarbons upon free-radicalbudgets under very clean conditions. The "detailed" model wasconstrained to measurements of CO, CH4 and 17NMHCs, while the "simple" model contained only the CO andCH4 oxidation mechanisms, together with inorganicchemistry. The OH and HO2 (HOx)concentrations predicted by the two models agreed to within5–10%.The model results were compared with the HOxconcentrations measured by the FAGE (Fluorescence Assay by GasExpansion) technique during four days of clean Southern Oceanmarine boundary layer (MBL) air. The models overestimatedOH concentrations by about 10% on two days and about 20%on the other two days. HO2 concentrations were measuredduring two of these days and the models overestimated the measuredconcentrations by about 40%. Better agreement with measuredHO2 was observed by using data from several MBL aerosolmeasurements to estimate the aerosol surface area and byincreasing the HO2 uptake coefficient to unity. Thisreduced the modelled HO2 overestimate by ~40%, withlittle effect on OH, because of the poor HO2 toOH conversion at the low ambient NOx concentrations.Local sensitivity analysis and Morris One-At-A-Time analysis wereperformed on the "simple" model, and showed the importance ofreliable measurements of j(O1D) and [HCHO] and ofthe kinetic parameters that determine the efficiency ofO(1D) to OH and HCHO to HO2conversion. A 2σ standard deviation of 30–40% forOH and 25–30% for HO2 was estimated for the modelcalculations using a Monte Carlo technique coupled with LatinHypercube Sampling (LHS).