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Creating a Climate Zone Map for Mechanistic Empirical Pavement Designs

机译:为机械式经验路面设计创建气候区图

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The Enhanced Integrated Climate Model (EICM) in the Mechanistic-Empirical (ME) Pavement Design software is an integral part of the ME pavement design process. EICM has a national weather database with hourly data from approximately 800 weather stations for at least 60 months. EICM uses the included historical hourly weather data to model future climatic conditions for accurate prediction of pavement distresses. Recently, many state departments of transportation started to enhance these weather station data by adding more weather stations and/or expanding the number of months of available data. The goal of these efforts is to utilize a weather station very close to the project site and include more historical weather data. IN the ME Pavement Design software virtual weather stations can be created by selecting up to six weather stations to model climate change in the vicinity of the project site. However, without having extensive knowledge on regional climatic patterns, the pavement designer may not select the most appropriate weather stations to represent site specific climate conditions. Many states have microclimates due to different geographical or environmental conditions. This paper examines the use of Geographical Information System (GIS) to create a local climate zone map to aid pavement designers to select the most appropriate weather stations for pavement designs. Four climate zone maps were developed using the average low temperatures in January, average high temperatures in July, average precipitation in January and average precipitation in July for the I-94 corridor in Michigan as a case study. Further, the combined effects of these variables were examined by combining above individual climate zone maps into a single composite map using Inverse Distance Weighted (IDW) techniques. The maps show localized climate zones even within the same county highlighting the need of using appropriate weather stations to correctly model the climatic effects in pavement performance. The use of the developed methodology was demonstrated by comparing pavement performance results for a same pavement structure located in different climate zones using MEPDG software.
机译:机械-经验(ME)路面设计软件中的增强型综合气候模型(EICM)是ME路面设计过程中不可或缺的一部分。 EICM拥有国家气象数据库,其中每小时至少约有60个气象站的数据。 EICM使用所包含的历史每小时天气数据来对未来的气候条件进行建模,以准确预测路面遇险情况。最近,许多州交通运输部门开始通过添加更多气象站和/或扩大可用数据的月数来增强这些气象站数据。这些工作的目的是利用一个非常靠近项目现场的气象站,并包括更多的历史气象数据。在ME路面设计软件中,可以通过选择最多六个气象站来模拟项目站点附近的气候变化来创建虚拟气象站。但是,在没有对区域气候模式的广泛了解的情况下,路面设计人员可能无法选择最合适的气象站来表示特定地点的气候条件。由于不同的地理或环境条件,许多州都有小气候。本文研究了使用地理信息系统(GIS)创建本地气候区地图的过程,以帮助路面设计者选择最合适的气象站进行路面设计。以密歇根州I-94走廊的1月份平均低温,7月份的平均高温,1月份的平均降水和7月份的平均降水为例,绘制了四个气候带图。此外,通过使用逆距离加权(IDW)技术将上述各个气候区图合并为单个合成图,可以检查这些变量的组合效果。这些地图显示了甚至在同一县内的局部气候区,突出显示了需要使用适当的气象站来正确模拟路面性能中的气候影响的需求。通过使用MEPDG软件比较位于不同气候区的同一路面结构的路面性能结果,证明了所开发方法的使用。

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  • 会议地点 Orlando FL(US)
  • 作者单位

    Department of Civil Engineering, Lawrence Technological University, 21000 West Ten Mile Road, Southfield, Michigan 48075;

    Department of Civil Engineering, Lawrence Technological University, 21000 West Ten Mile Road, Southfield, Michigan 48075;

    Department of Civil Engineering, Lawrence Technological University, 21000 West Ten Mile Road, Southfield, Michigan 48075;

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  • 正文语种 eng
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  • 入库时间 2022-08-26 14:22:09

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