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The Effects of Topographic Map Scale and Costs of Land Surveying on Geometric Model and Flood Inundation Mapping

机译:地形图比例尺和土地测量成本对几何模型和洪水淹没制图的影响

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The quality of topographic datasets plays a key role in deriving terrain model and hydraulic simulation. In developing countries, data-sparse regions and most parts of the world, accessing to high-quality datasets is almost impossible and topographic maps with a specific scale should be used to derive the geometry of river bed and floodplains. For these areas, understanding the effects of map scale on the costs of land surveying/river projects and flood inundation mapping may lead to an appropriate flood modeling and reduce huge amounts of financial resources. This research addresses the effect of using topographic maps with different scales on the hydraulic properties and focuses on using the relationship between topographic map scale, the costs of land surveying and hydraulic properties. The results from the three river reaches (SojasRood and SafaRood rivers in Zanjan and Mazandaran provinces, respectively and Sarbaz river in Sistan-Baluchistan province, Iran) used in this study show that in small-scale rivers (SojasRood and SafaRood rivers), the effect of topographic map's scale on water surface elevation (WSE) isn't meaningful up to 1:4000 (4K) map scale, while in the case of Sarbaz river WSE is approximately scale independent (even up to 1:10000 (10K) map) and there is no considerable discrepancy between low and high-quality maps in predicting this important variable. For example, in SojasRood river the mean absolute error (MAE) in simulation of WSE for low-quality maps (5K and 6K maps) varies between 0.79m and 1.78m, while for high-quality maps (1K, 2K and 3K) it restricts to only 0.25m. Also, in the case of Sarbaz river, for maps with the scale of higher than 5K (high resolution maps) the maximum values of MAE and RMSE statistics limit to 0.13m and 0.16m, respectively. Moreover, findings demonstrate that using the topographic maps with the scales of 2K and 7K instead of high quality maps (1K and 2K maps in small-scale rivers and Sarbaz river, respectively as base maps) lead to the same geometric model and the mean relative error (MRE) in simulating inundation extents is lower than 10%. These outcomes clearly indicate that by accepting some reasonable errors the low quality maps, that are cost-effective and not time-consuming, can be considered as alternative maps for flood simulation in low budget projects. Furthermore, assessing the costs of ground surveying shows that it highly depends on the scale of topographic maps and by using low quality instead of high quality maps the costs of topographic maps' production significantly decreases. In addition, changes in hydraulic properties due to using these maps are not considerable when compared to the significant saved financial resources.
机译:地形数据集的质量在推导地形模型和水力模拟中起着关键作用。在发展中国家,数据稀少的地区和世界上大多数地区,几乎不可能访问高质量的数据集,应使用特定比例的地形图来得出河床和洪泛区的几何形状。对于这些区域,了解地图比例尺对土地测量/河流项目成本和洪水淹没图的影响可能会导致适当的洪水建模并减少大量财务资源。这项研究解决了使用不同比例的地形图对水力特性的影响,并着重于利用地形图比例尺,土地测量成本和水力特性之间的关系。这项研究使用的三个河段(分别是赞詹省和马赞达兰省的SojasRood河和SafaRood河,以及伊朗锡斯坦-巴鲁奇斯坦省的Sarbaz河)的结果表明,在小规模河流(SojasRood河和SafaRood河)中,效果直到1:4000(4K)地图比例,地形图在水面高程(WSE)上的比例是没有意义的,而对于萨尔巴兹河,WSE大约是独立于比例的(甚至在1:1:1(10K)地图上也是如此)在预测这一重要变量时,低质量图和高质量图之间没有显着差异。例如,在SojasRood河中,低质量地图(5K和6K地图)的WSE模拟中的平均绝对误差(MAE)在0.79m和1.78m之间变化,而高质量地图(1K,2K和3K)则为限制为仅0.25m。同样,对于萨尔巴兹河,对于比例大于5K的地图(高分辨率地图),MAE和RMSE统计数据的最大值分别限制为0.13m和0.16m。此外,研究结果表明,使用比例为2K和7K的地形图代替高质量的地图(小规模河流和萨尔巴兹河中的1K和2K图分别作为基础图)会导致相同的几何模型和平均相对模拟淹没范围时的误差(MRE)低于10%。这些结果清楚地表明,通过接受一些合理的错误,经济高效且不耗时的低质量地图可以被视为低预算项目中洪水模拟的替代地图。此外,评估地面勘测的成本表明其高度依赖于地形图的比例,并且通过使用低质量而不是高质量的地图,地形图的生产成本显着降低。此外,与节省的大量财务资源相比,由于使用这些地图而导致的水力特性变化不大。

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