【24h】

Data Mining to Determine Local Effects of MercuryEmissions

机译:数据挖掘以确定汞排放的局部影响

获取原文

摘要

Tools for knowledge discovery through databases (KDD) can provide air quality planners withdescriptions of long-term behavior at monitor sites. The investigators used the Cubist? programto construct a piecewise linear regression model to describe mercury deposition rates andconcentrations at two sites in terms of hourly power plant heat input (a surrogate for emissions)and meteorological variables. The ambient mercury measurements represented more than fiveyears of data at the Marcell, Minnesota and Chassahowitzka, Florida sites of the MercuryDeposition Network. The daily heat input data represented two power plants (Boswell EnergyCenter and Florida Power’s Crystal River Energy Complex) that are predominantly coal-fired.The advantages of local versus regional controls for mercury emissions have recently beendebated. This work aimed to identify the meteorological conditions that lead to an effect of localemissions on local ambient mercury conditions. The long time series of ambient mercurydeposition data at Marcell, Minnesota and Chassahowitzka, Florida were compared with thesimultaneous heat input quantities at the two nearby power plants.Meteorological conditions were included in the data sets, and the Cubist software generatedpiecewise linear regression fits that describe the deposition data based on heat input andmeteorological parameters. The software created models of several linear expressions that applyunder particular meteorological conditions and sometimes overlap. The investigation showedthat the effect of power plants on nearby mercury deposition sites only manifested itself underparticular meteorological conditions. The data analyses and findings are discussed in detail.The investigation pointed to a rise in mercury deposition at the Marcell site associated with rateincreases in heat input at the Boswell Energy Center, likely occurring during boiler startup orshutdown. The spikes above the average deposition represent only eight percent of the weeklydata at Marcell but forty-two percent of the total deposition. During hot, stagnant conditions,Crystal River heat input rates sometimes affected mercury concentrations and deposition at theChasshowitzka station (0.038 ng-hr/l-mmBtu).
机译:通过数据库(KDD)进行知识发现的工具可以为空气质量规划人员提供监视站点长期行为的描述。调查人员使用立体主义?该程序可构建分段线性回归模型,以小时发电厂的热量输入(排放的替代物)和气象变量的形式描述两个地点的汞沉积速率和浓度。在MercuryDeposition Network的明尼苏达州Marcell和佛罗里达州Chassahowitzka的环境汞测量值代表了超过五年的数据。每日热量输入数据代表了两个主要是燃煤发电厂(Boswell EnergyCenter和Florida Power的Crystal River能源综合体)。最近,地方和地方控制汞排放的优势不容乐观。这项工作旨在确定导致局部排放对当地环境汞状况造成影响的气象条件。将明尼苏达州马塞勒市和佛罗里达州查索维兹卡的长期环境汞沉积数据与附近两个电厂的同时热量输入量进行了比较,数据中包括了气象条件,Cubist软件生成的逐段线性回归拟合描述了基于热量输入和气象参数的沉积数据。该软件创建了几个线性表达式的模型,这些线性表达式适用于特定的气象条件,有时会重叠。调查表明,发电厂对附近汞沉积场所的影响仅在特定的气象条件下才表现出来。数据分析和调查结果进行了详细讨论。研究指出,在Marcell站点汞沉积增加与Boswell能源中心的热量输入速率增加有关,很可能在锅炉启动或关闭期间发生。高于平均沉积的峰值仅代表Marcell每周数据的8%,但占总沉积的42%。在炎热,停滞的条件下,结晶河的热输入速率有时会影响Chasshowitzka站的汞浓度和沉积(0.038 ng-hr / l-mmBtu)。

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