Technical University of Cartagena (UPCT), Department of Chemical and Environmental Engineering, Paseo Alfonso XIII, 52, E-30203, Cartagena, Murcia, Spain.
Technical University of Cartagena (UPCT), Department of Chemical and Environmental Engineering, Paseo Alfonso XIII, 52, E-30203, Cartagena, Murcia, Spain; Center for Edaphology and Applied Biology of Segura (CEBAS-CSIC). Campus Universitario de Espinardo, 30100, Murcia, Spain.
Environ Pollut. 2020 Nov;266(Pt 3):115279. doi: 10.1016/j.envpol.2020.115279. Epub 2020 Aug 11.
Air quality management is underpinned by continuous measurements of concentrations of target air pollutants in monitoring stations. Although many approaches for optimizing the number and location of air quality monitoring stations are described in the literature, these are usually focused on dense networks. However, there are small and medium-size urban areas that only require one monitoring station but also suffer from severe air pollution. Given that target pollutants are usually measured at the same sampling points; it is necessary to develop a methodology to determine the optimal location of the single station. In this paper, such a methodology is proposed based on maximizing an objective function, that balances between different pollutants measured in the network. The methodology is applied to a set of data available for the city of Cartagena, in southeast Spain. A sensitivity analysis reveals that 2 small areas of the studied city account for 80% of the optimal potential locations, which makes them ideal candidates for setting up the monitoring station. The methodology is easy to implement, robust and supports the decision-making process regarding the siting of fixed sampling sites.
空气质量管理的基础是在监测站中对目标空气污染物浓度进行连续测量。尽管文献中描述了许多用于优化空气质量监测站数量和位置的方法，但这些方法通常侧重于密集的网络。然而，也有一些中小城市只需要一个监测站，但也遭受严重的空气污染。鉴于目标污染物通常在相同的采样点测量；因此，有必要开发一种确定单个站点最佳位置的方法。在本文中，提出了一种基于最大化网络中测量的不同污染物之间平衡的目标函数的方法。该方法应用于西班牙东南部卡塔赫纳市的一组可用数据。敏感性分析表明，研究城市的 2 个小区域占最佳潜在位置的 80%，这使它们成为设置监测站的理想候选地。该方法易于实施，稳健且支持关于固定采样点选址的决策过程。
