荆州城区大气监测优化布点

Optimization of Air Monitoring Location in the Urban of Jingzhou

为了减少人为因素对城市大气质量监测点位确定的影响，以荆州城区大气环境质量网格布点为研究对象，对实测数据进行了模糊聚类分析，运用相关系数法和几何平均最小法分别进行归类，所得结果极为接近；并由此确定了４类监测点位。经过比较，主要根据相关系数法的分类结果拟定了４组大气预选优化布点方案；标准化检验结果表明，这４组预选优化方案的第３０，５０，８０和９０百分位数的相对误差小于１５％，均符合城市大气质量监测要求。综合考虑预选优化布点的地理位置及荆州城区发展规划，最后选定了一组优化方案。

There are many artificial factors affecting the decision of monitoring location in survey of air quality of a city The data of network location method monitoring the air quality of the city proper of Jingzhou is analysed with fuzzy cluster analysis Related coefficient method and minium method of geometric mean are used The results from the two methods are almost the same On the basis of the classification,the location number of survey is determined as four Four groups of optimized location for settlement are drafted by the result of the former method Optimization schemata are satisfied in meeting the requirements for air quality in a city because their relative errors of the thirtieth, fiftieth,eightieth and ninetieth percentile with standardized test are less than 15%