当前位置: X-MOL 学术Sensors › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Robust Confidence Intervals for PM2.5 Concentration Measurements in the Ecuadorian Park La Carolina.
Sensors ( IF 3.9 ) Pub Date : 2020-01-24 , DOI: 10.3390/s20030654
Wilmar Hernandez 1 , Alfredo Mendez 2 , Rasa Zalakeviciute 3 , Angela Maria Diaz-Marquez 4
Affiliation  

In this article, robust confidence intervals for PM2.5 (particles with size less than or equal to 2.5 μm) concentration measurements performed in La Carolina Park, Quito, Ecuador, have been built. Different techniques have been applied for the construction of the confidence intervals, and routes around the park and through the middle of it have been used to build the confidence intervals and classify this urban park in accordance with categories established by the Quito air quality index. These intervals have been based on the following estimators: the mean and standard deviation, median and median absolute deviation, median and semi interquartile range, a-trimmed mean and Winsorized standard error of order a, location and scale estimators based on the Andrew's wave, biweight location and scale estimators, and estimators based on the bootstrap-t method. The results of the classification of the park and its surrounding streets showed that, in terms of air pollution by PM2.5, the park is not at caution levels. The results of the classification of the routes that were followed through the park and its surrounding streets showed that, in terms of air pollution by PM2.5, these routes are at either desirable, acceptable or caution levels. Therefore, this urban park is actually removing or attenuating unwanted PM2.5 concentration measurements.

中文翻译:

厄瓜多尔公园拉卡罗莱纳州PM2.5浓度测量的可靠置信区间。

在本文中,已经建立了在厄瓜多尔基多的La Carolina Park进行的PM2.5(尺寸小于或等于2.5μm的颗粒)浓度测量的可靠置信区间。已经采用了不同的技术来构建置信区间,并且根据基多空气质量指数确定的类别,使用了公园周围以及贯穿公园中间的路线来构建置信区间并对城市公园进行分类。这些间隔基于以下估算器:均值和标准差,中位数和中位数绝对偏差,中位数和半四分位数范围,a阶均方差和Winsorized标准误差,基于安德鲁波的位置和比例估算器,双权重位置和比例估算器,和基于bootstrap-t方法的估计量。该公园及其周围街道的分类结果表明,就PM2.5造成的空气污染而言,该公园未达到谨慎水平。对穿过公园及其周围街道的路线进行分类的结果表明,就PM2.5造成的空气污染而言,这些路线处于理想,可接受或谨慎的水平。因此,这个城市公园实际上正在消除或衰减不必要的PM2.5浓度测量值。就PM2.5造成的空气污染而言,这些路线处于理想,可接受或谨慎的水平。因此,这个城市公园实际上正在消除或衰减不必要的PM2.5浓度测量值。就PM2.5造成的空气污染而言,这些路线处于理想,可接受或谨慎的水平。因此,这个城市公园实际上正在消除或衰减不必要的PM2.5浓度测量值。
更新日期:2020-01-24
down
wechat
bug