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Estimation of the thickness of anthropogenic deposits in historical urban centres: An interdisciplinary methodology applied to Rome (Italy)

机译:估算历史城市中心的人为沉积物厚度:一种跨学科方法论,适用于罗马(意大利)

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In historical urban centres, the superimposition of excavation and deposition activities over time has resulted in an irregular spatial distribution of anthropogenic deposits, which may reach considerable thicknesses. The detection of those thicknesses requires extensive investigations. Broad borehole and geophysical campaigns cost time and money, consequently at the urban-planning level, it is usual to shift to an estimation of thicknesses, which may be performed through map-algebra operations, that is, by subtracting from the modelled ground surface the elevation of the anthropogenic-deposit basal surface. The latter is implemented through the interpolation of point elevation data, which are generally provided by borehole logs. Despite the development of advanced spatial interpolation methodologies, previous modelling results in the literature show that if the process is affected by insufficient input data, it produces imprecise interpolation outputs. This paper reports an interdisciplinary methodology aiming at enhancing elevation datasets, in order to obtain more accurate digital elevation models. The increase in number and spatial distribution of input points is achieved through past-landscape analyses mainly based on elevation data given by borehole logs, available archaeological reports and historical topographic maps, these being generally available for historical urban centres. The methodology was tested in an urban sector of Rome, where significant activities have been performed for millennia particularly during the Roman Age. A reliable model of the basal surface of the anthrostrata led to a better estimation of the spatial distribution of such deposits and, in addition, revealed the original topographic surface, as modified by human activities.
机译:在历史悠久的市中心,随着时间的推移,开挖和沉积活动的叠加导致人为沉积物的空间分布不规则,可能达到相当的厚度。这些厚度的检测需要广泛的研究。广泛的井眼和地球物理运动花费时间和金钱,因此,在城市规划水平上,通常转向对厚度的估计,这可以通过地图代数运算来执行,即从建模的地面减去人为沉积基底表面的高度。后者是通过点高程数据的插值实现的,这些数据通常由井眼测井提供。尽管开发了先进的空间插值方法,文献中的先前建模结果表明,如果该过程受到输入数据不足的影响,则会产生不精确的插值输出。本文报告了一种旨在增强海拔数据集的跨学科方法,以便获得更准确的数字海拔模型。输入点的数量和空间分布的增加是通过过去的景观分析来实现的,这些分析主要基于井眼测井,可用的考古报告和历史地形图提供的高程数据,这些通常可用于历史城市中心。该方法已在罗马的城市地区进行了测试,该地区已经开展了数千年的重要活动,尤其是在罗马时代。炭疽菌基面的可靠模型可以更好地估算此类沉积物的空间分布,此外,它还揭示了人类活动所修饰的原始地形表面。

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