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Unsoundness of Aggregate due to Volume Change

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Unsoundness in aggregates due to volume changes is primarily caused by the physical alterations aggregates undergo, such as freezing and thawing, thermal changes, and wetting and drying. Unsound aggregates, when subjected to these changes, result in volume change upon disintegration. This, in turn, contributes to the deterioration of concrete, including scaling, pop-outs, and cracking. Particular types of aggregates, such as porous flints, cherts, and those containing clay minerals, are...
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The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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The maximum size of aggregate is defined as the aperture of the sieve retaining 15 percent or more of the particles present in the aggregate sample. The aggregate's maximum size impacts the concrete's water requirement, workability, and strength. Larger aggregates reduce the surface area needing cement paste coverage, which can lower water needs, thereby allowing a decrease in the water-to-cement ratio when the desired workability and richness of the mix are to be maintained, which can...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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一个模拟的"沙箱"用于探索聚合和分解中可修改的面积单位问题.

Jeremiah J Nieves1, Andrea E Gaughan2, Forrest R Stevens2

  • 1University of Glasgow, School of Geographical & Earth Sciences, Glasgow, UK. jeremiah.j.nieves@gmail.com.

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概括

本研究引入了墨西哥瓜达拉哈拉的模拟面积单位数据,以分析可修改面积单位问题 (MAUP). 这些数据有助于了解空间分辨率和区域划分如何影响地理分析和建模.

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科学领域:

  • 地理信息科学 地理信息科学
  • 空间分析 空间分析
  • 地质统计学 在地质统计学

背景情况:

  • 可修改面积单位问题 (MAUP) 通过引入因任意区分和规模而导致的不确定性,对空间分析产生重大影响.
  • 了解MAUP对于准确的地理建模,预测和数据分解/聚合至关重要.

研究的目的:

  • 为研究MAUP创建一个模拟面积单位数据的综合空间测试平台.
  • 为评估空间分辨率和区域配置对地理应用的影响提供可重复的数据集.

主要方法:

  • 模拟了10个空间分辨率级别 (5,51552,388个单位),每一个具有100个区域配置,总计有1000个独特的数据集.
  • 使用来自墨西哥瓜达拉哈拉的高分辨率人口普查数据作为模拟的基础.
  • 开发一个代码笔记本,用于数据的修改和复制.

主要成果:

  • 生成的数据集提供了一个强大的平台,可以在各种空间尺度和区分方案中探索MAUP效应.
  • 促进对模型训练,预测,分解和聚合的影响的检查.
  • 允许使用引导生成空间显式,非参数的置信区间.

结论:

  • 模拟面积单位数据测试台为研究MAUP的研究人员提供了宝贵的资源.
  • 该资源有助于开发更强大的空间分析方法,不太容易受到MAUP效应的影响.
  • 数据和相关代码促进空间统计和地理信息系统的可重复性研究.