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Simulation and Modeling of Elevation Variations of Radial Sand Banks in Jiangsu Province Based on Spatio-temporal Correlation Analysis

机译:基于时空相关分析的江苏省径向砂堤浅析仿真与建模

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Jiangsu province, which has vast population andlimited land, is facing with land resources shortage. However, theoffshore radial sand banks provide huge potential land reserveresources. But, epeirogenic movement and the variation ofelevation of the radial sand banks are quite frequent in coastalarea of Jiangsu province; Hence, mastering law of the variationof elevation of the radial sand banks is the precondition ofmaking use of the radial sand banks scientifically. This paper hasused remote sensing method to build a series of DEMs of radialsand banks which has constant temporal intervals, and thensimulated the variations of elevation of sand banks by using theseDEMs. For non-spatial data, the variation law of phenomena canbe revealed by time series models. However, for spatial data suchas the sand bank elevation, due to the existence of spatialdependence, goes against the hypothesis that the data isindependent of each other in classic statistical analysis. Thatmeans, the elevation of a point on sand bank not only dependentson its own historical values, but also affected by its neighbors.Therefore, with comprehensive consideration of time and space,we build a forecasting model based on spatio-temporal relationanalysis to simulate the elevation variations of radial sandsbanks. Then verify the result by using the elevation in the nexttime interval. Results show that this method which this paperproposed can satisfy the requirement of mesoscale applications.
机译:江苏省拥有庞大的土地,面临着土地资源短缺。然而,Tewhore径向砂岸基提供巨大的潜在土地reververesources。但是,江苏省海滨省内的施氮运动和径向砂银的变化是频繁的;因此,径向砂堤升高的掌握规律是科学地使用径向砂岸的前提。本文采用了遥感方法来构建一系列径向和银行的DEM,其具有恒定的时间间隔,并通过使用SHESEMS来调整砂岸升高的变化。对于非空间数据,时间序列模型揭示了现象的变化定律。然而,对于空间数据如砂岸升降,由于空间依存,反对假设,即在经典统计分析中彼此相互依赖的假设。拍摄,沙滩上的一点的提升不仅依赖自己的历史价值,还受到邻国的影响。因此,通过全面考虑时间和空间,我们建立了一个基于时空关系分析的预测模型来模拟升降径向砂囊的变化。然后在下一个间隔中使用高度验证结果。结果表明,这种纸张推测的方法可以满足Mescle应用的要求。

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