泉州市中心城区区域环境噪声监测点位优化的探索

Exploration on optimization of environmental noise monitoring points in Quanzhou City center area

以泉州市中心城区为例,对区域环境噪声的点位优化和优化后点位的代表进行了探索。以2016的监测数据为基础,采用聚类分析法的系统分类,将泉州市中心城区区域环境噪声108个监测点聚成4类,经计算优化减少为31个监测点位,结合各行政区域按网格权重、聚类类型及聚类中心、网格点空间分布,确定31个优化点位泉州市中心城区9个行政区域的分布;用T检验法,选用近几年实际监测数据验证优化点位的可靠性和代表性。优化点位的平均等效声级与网格点位的平均等效声级无显著差别,绝对误差在1dB(A)以内,相对误差不超过±5%,确定优化点位能体现区域声环境的代表性。

Taking Quanzhou city center as an example,the point optimization of the regional environmental noise and the representative of the optimized point were explored. Based on the 2016 monitoring data,a systematic classification using cluster analysis method was used to group 108 monitoring points of the environmental noise in the downtown area of Quanzhou into 4 categories and after calculation and optimization,the 108 monitoring points were reduced to 31. With considering grid weights,cluster types,cluster centers,and spatial distribution of grid points,the 31 optimized points in the 9 administrative areas of Quanzhou’s downtown area were fixed. The T-test method was used to verify the reliability and representativeness of the optimized points by actual monitoring data in recent years. The average equivalent sound level of the optimized points is not significantly different from the average equivalent sound level of the grid points. The absolute error is within 1 dB(A)and the relative error does not exceed ± 5%. It is determined that the optimized point can reflect the regional acoustic environment.