Hooyberghs Jef, Mensink Clemens, Dumont Gerwin, Fierens Frans
Flemish Institute for Technological Research (VITO), Boeretang 200, B-2400, Mol, Belgium.
J Environ Monit. 2006 Nov;8(11):1129-35. doi: 10.1039/b612607n. Epub 2006 Sep 15.
Due to scientific interest on the one hand and political and regulatory obligations on the other hand the monitoring of ozone in the troposphere is an important issue. To this end, in Belgium as in many other countries, a fixed network of monitoring stations is operated. In order to estimate the ozone concentrations over the whole territory, a model is needed to spatially complement the sparse measurements. This paper describes the development of an interpolation scheme which is aimed at fast operational use. The model uses the population density as auxiliary data to remove a spatial trend due to titration by nitric oxide. The residuals are interpolated by kriging. As a benchmark the inverse distance weighting interpolation method is used with and without the detrending. The proposed model systematically improves the interpolation and makes a significant difference when estimating human exposure to ozone. It is generic in design, easy to implement and flexible to changes in the monitoring network.
一方面出于科学兴趣，另一方面出于政治和监管义务，对流层臭氧监测是一个重要问题。为此，在比利时以及许多其他国家，都运营着一个固定的监测站网络。为了估算整个领土上的臭氧浓度，需要一个模型来对稀疏的测量数据进行空间补充。本文描述了一种旨在快速投入业务使用的插值方案的开发。该模型使用人口密度作为辅助数据，以消除由于一氧化氮滴定导致的空间趋势。残差通过克里金法进行插值。作为基准，使用了带和不带去趋势处理的反距离加权插值方法。所提出的模型系统地改进了插值效果，并且在估算人类臭氧暴露量时产生了显著差异。它在设计上具有通用性，易于实施，并且对监测网络的变化具有灵活性。
