首页> 外文会议>International Conference on Geoinformatics;Geoinformatics 2012 >Simulation and Modeling of Elevation Variations of Radial Sand Banks in Jiangsu Province Based on Spatio-temporal Correlation Analysis
【24h】

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岸高程变化模拟与建模

获取原文

摘要

Jiangsu province, which has vast population and limited land, is facing with land resources shortage. However, the offshore radial sand banks provide huge potential land reserve resources. But, epeirogenic movement and the variation of elevation of the radial sand banks are quite frequent in coastal area of Jiangsu province; Hence, mastering law of the variation of elevation of the radial sand banks is the precondition of making use of the radial sand banks scientifically. This paper has used remote sensing method to build a series of DEMs of radial sand banks which has constant temporal intervals, and then simulated the variations of elevation of sand banks by using these DEMs. For non-spatial data, the variation law of phenomena can be revealed by time series models. However, for spatial data such as the sand bank elevation, due to the existence of spatial dependence, goes against the hypothesis that the data is independent of each other in classic statistical analysis. That means, the elevation of a point on sand bank not only dependents on 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 relation analysis to simulate the elevation variations of radial sands banks. Then verify the result by using the elevation in the next time interval. Results show that this method which this paper proposed can satisfy the requirement of mesoscale applications.
机译:人口众多,土地有限的江苏省面临着土地资源短缺的问题。但是,近海放射状沙洲提供了巨大的潜在土地储备资源。但是,江苏沿海地区的致病性运动和放射状砂岸高程变化十分频繁;因此,掌握放射状砂岸高程变化规律是科学利用放射状砂岸的前提。 。本文采用遥感方法建立了一系列具有一定时间间隔的放射状沙堤的DEM,然后利用这些DEM模拟了沙堤高程的变化。对于非空间数据,可以通过时间序列模型揭示现象的变化规律。但是,由于存在空间依赖性,对于诸如沙丘高程之类的空间数据,与经典统计分析中数据彼此独立的假设背道而驰。这意味着,沙洲上一个点的高程不仅取决于其自身的历史价值,而且还受到其邻域的影响。因此,在综合考虑时空因素的基础上,建立了基于时空关系分析的预测模型,以模拟放射状沙洲的高程变化。然后通过在下一个时间间隔中使用高程来验证结果。结果表明,本文提出的方法可以满足中尺度应用的要求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号