• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Nae more, journal of marine sciences >Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area
【24h】

Multiple Linear Regression (MLR) model simulation of hourly PM10 concentrations during sea breeze events in the Split area

机译：分裂地区海风事件期间每小时PM10浓度的多元线性回归（MLR）模型模拟

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

摘要

The main objective of this study is to simulate the daily change of the particulate matter (PM10) concentrations using a multiple linear regression (MLR) model for the selected sea breeze cases in Split and Ka?tel-Su?urac, which are situated in the central part of the Eastern Adriatic coast, for the period from 2007 to 2009. A new predictor characteristic to the daily and nightly part of the coastal circulation is included in the MLR model. The MLR model results well match the PM10 concentration measurements during the selected sea breeze cases in Split (with the correlation coefficient R2=0.77 and the index of the agreement IA = 0.89) and Ka?tel-Su?urac (R2=0.65, IA =0.81), and they also match the measurements during land breeze (for Split R2=0.66, IA=0.86 and for Ka?tel-Su?urac R2=0.66, IA=0.70).
机译：这项研究的主要目的是使用多元线性回归（MLR）模型针对位于斯普利特（Split）和卡特尔（Ka？tel-Su？）东部亚得里亚海海岸的中部，从2007年到2009年。MLR模型包括沿海环流的每日和夜晚部分的新预测因子。 MLR模型的结果与斯普利特（相关系数R2 = 0.77和协议索引IA = 0.89）和Ka？tel-Su？urac（R2 = 0.65，IA）的选定海风案例期间的PM10浓度测量值非常匹配。 = 0.81），并且它们也与陆风期间的测量值匹配（对于Split R2 = 0.66，IA = 0.86和对于Ka？tel-SuSuurac R2 = 0.66，IA = 0.70）。

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