• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Air Waste Management Association's annual conference exhibition >ANN Modeling of O3 at Rural Monitoring Sites in the West Central Airshed Zone of Alberta
【24h】

ANN Modeling of O3 at Rural Monitoring Sites in the West Central Airshed Zone of Alberta

机译：ANN建模O3在艾伯塔省西部中央空气区农村监测网站

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The West Central Airshed Society zone in west central Alberta has experienced high ground level ozone concentrations at a rural background station (Hightower Ridge) and at a rural station closer to anthropogenic activity (Tomahawk). The objective of this study was to assess the feasibility of using artificial neural network (ANN) modeling to evaluate historical ambient air quality and meteorological data collected at these two stations. The purpose of the evaluation was to attempt to explain the role that meteorological versus anthropogenic factors had in contributing to observed hourly average ozone concentrations. Hourly average ozone concentrations were analyzed using data for the months of March through September over the years 2001 and 2002. It was found that peak averaged ozone concentrations occurred between the hours of 3:00 pm to 5:00 pm in the range 79 to 88 μg/m3 (40 to 45 ppb). The highest averaged ozone concentrations occurred at the higher elevation station (Hightower Ridge, elevation 1,500 m above sea level). The lowest averaged ozone concentrations occurred during morning hours at each station. Much lower concentrations occur at the lower elevation station (Tomahawk, elevation 800 m above sea level). This diurnal pattern – I.e. peak levels in mid-afternoon and lower levels in early morning – are due to vertical convective mixing during day time hours and absence of this mixing during night time and early morning hours. Meteorological conditions are the most important factors related to the behavior of ozone concentrations observed at these stations. This behavior was confirmed using ANN modeling. Temperature, relative humidity, and pressure were all related to ozone concentrations. This strongly points to the importance of natural phenomena in mostly contributing to the presence of ground level ozone at these stations. Anthropogenic factors (precursor air pollutants originating from the activity of humans) are much less important.
机译：西部中央艾伯塔省西部中央空中社会区经历了农村背景（Hightower Ridge）的高地臭氧浓度，并在靠近人为活动（Tomahawk）的农村。本研究的目的是评估使用人工神经网络（ANN）建模的可行性，以评估在这两个站点收集的历史环境空气质量和气象数据。评价的目的是试图解释气象与人为因素在促进观察到的小时平均臭氧浓度方面的作用。在2001年和2002年，使用3月份的数月分析了每小时平均臭氧浓度。发现峰平均臭氧浓度在79至88的范围内3:00至下午5:00之间发生臭氧浓度。 μg/ m 3（40至45 ppb）。最高平均臭氧浓度发生在较高的海拔站（Hightower Ridge，海拔1,500米的高度）。在每个站的早晨时出现最低平均臭氧浓度。较低的浓度在较低的海拔站（Tomahawk，海拔800米的海拔800米）发生得多。这个昼夜图案 - 即清晨中午和较低水平的峰值水平 - 是由于在白天时间垂直混合，并且在夜间和清晨的时间内没有这种混合。气象条件是与在这些站观察到的臭氧浓度的行为有关的最重要因素。使用ANN建模确认此行为。温度，相对湿度和压力均与臭氧浓度有关。这强烈指出了自然现象的重要性，主要导致这些站在地面臭氧的存在。人为因素（源自人类活动的前体空气污染物）不那么重要。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号