Zheng Junyu, Feng Xiaoqiong, Liu Panwei, Zhong Liuju, Lai Senchao
College of Environmental Science and Engineering, South China University of Technology, South Campus, University Town, Guangzhou, P.R. China 510006.
J Environ Monit. 2011 Nov;13(11):3185-95. doi: 10.1039/c1em10560d. Epub 2011 Oct 18.
Regional air quality monitoring networks (RAQMN) are urgently needed in China due to increasing regional air pollution in city clusters, arising from rapid economic development in recent decades. This paper proposes a methodological framework for site location optimization in designing a RAQMN adapting to air quality management practice in China. The framework utilizes synthetic assessment concentrations developed from simulated data from a regional air quality model in order to simplify the optimal process and to reduce costs. On the basis of analyzing various constraints such as cost and budget, terrain conditions, administrative district, population density and spatial coverage, the framework takes the maximum approximate degree as an optimization objective to achieve site location optimization of a RAQMN. An expert judgment approach was incorporated into the framework to help adjust initial optimization results in order to make the network more practical and representative. A case study was used to demonstrate the application of the framework, indicating that it is feasible to conduct site optimization for a RAQMN design in China. The effects of different combinations of primary and secondary pollutants on site location optimization were investigated. It is suggested that the network design considering both primary and secondary pollutants could better represent regional pollution characteristics and more extensively reflect temporal and spatial variations of regional air quality. The work shown in this study can be used as a reference to guide site location optimization of a RAQMN design in China or other regions of the world.
由于近几十年来经济的快速发展，中国城市群地区空气污染日益严重，因此迫切需要区域空气质量监测网络（RAQMN）。本文提出了一种方法框架，用于在设计适应中国空气质量管理实践的RAQMN时进行站点选址优化。该框架利用区域空气质量模型模拟数据得出的综合评估浓度，以简化优化过程并降低成本。在分析成本和预算、地形条件、行政区、人口密度和空间覆盖等各种约束条件的基础上，该框架以最大近似度为优化目标，实现RAQMN的站点选址优化。框架中纳入了专家判断方法，以帮助调整初始优化结果，使网络更具实用性和代表性。通过案例研究展示了该框架的应用，表明在中国对RAQMN设计进行站点优化是可行的。研究了一次污染物和二次污染物不同组合对站点选址优化的影响。结果表明，同时考虑一次污染物和二次污染物的网络设计能够更好地体现区域污染特征，更广泛地反映区域空气质量的时空变化。本研究成果可为指导中国或世界其他地区RAQMN设计的站点选址优化提供参考。
