黄河口泥沙输运与岸线演变预测模型研究

发布时间：2018-10-26 07:52

【摘要】：黄河三角洲地区国土和油气资源丰富,我国胜利油田约85%的产量都来自于这一区域。快速淤积造陆对黄河口区域油气勘探开发具有重要的作用,它使得海上开采变为陆地开采,大大降低了开采成本。河口区域是人类探索、开发利用海洋资源的大门。同时,它也是人类活动最为密集和沿海居民生产生活的重要场所。本文以黄河三角洲为实验区,利用2013年11月25日实验区Landsat-8遥感图像数据、22组实测悬浮泥沙浓度(Suspended Sediment Concentration,SSC)数据和光谱反射率数据,首先分析光谱曲线并确定敏感波段,建立悬浮泥沙浓度遥感反演模型,然后通过对遥感图像数据进行裁切、大气校正等预处理,获取实验区悬沙浓度分布图,分析入海口区域泥沙分布情况;同时以2007、2009、2011年10月份Landsat-7影像数据为基础,利用元胞自动机模型(Cellular Automata,CA)和蒙特卡罗方法(Monte Carlo Method,MCM),分析岸线冲淤演变主要影响因素,重点研究元胞转换规则,确定系统待模拟参数,开发出一套基于黄河三角洲地区的海岸带冲淤演变预测系统,成功预测了2013年该区域岸线分布。本论文研究内容主要有:1.对建国以来黄河三角洲黄河流路变迁及岸线演变情况作了总结,分析岸线演变主要影响因素:泥沙含量、河道位置、海底地形、海洋动力、人类活动、气候等。2.通过分析实测光谱曲线,构建了悬浮泥沙浓度遥感反演模型,对反演结果进行总结分析。3.通过研究元胞自动机模型和蒙特卡罗方法,确定元胞转换规则,构建了一套基于黄河三角洲地区的岸线冲淤演变预测模型,并结合泥沙遥感反演结果和历年遥感图像数据分析近几年岸线演变情况及影响因素。
[Abstract]:The Yellow River Delta region is rich in land and oil and gas resources. About 85% of the output of Shengli Oilfield in China comes from this region. Rapid deposition of land plays an important role in the exploration and development of oil and gas in the Yellow River estuary area, which makes offshore mining become land mining and greatly reduces the mining cost. Estuarine region is the gate of human exploration, exploitation and utilization of marine resources. At the same time, it is also the most intensive human activities and coastal residents production and living an important place. In this paper, the Yellow River Delta is used as the experimental area. Using the Landsat-8 remote sensing image data of the experimental area on November 25, 2013, 22 groups of measured suspended sediment concentration (Suspended Sediment Concentration,SSC) data and spectral reflectance data are obtained. First, the spectral curve is analyzed and the sensitive band is determined, then the remote sensing inversion model of suspended sediment concentration is established, and then the suspended sediment concentration distribution map in the experimental area is obtained by cutting the remote sensing image data and preprocessing the atmospheric correction. The sediment distribution in the estuary area is analyzed. At the same time, based on the Landsat-7 image data of 2007 / 2009 and October 2011, using cellular automata model (Cellular Automata,CA) and Monte Carlo method (Monte Carlo Method,MCM), this paper analyzes the main influencing factors of shoreline scouring and silting evolution, and focuses on the study of cellular transformation rules. A prediction system of coastal zone erosion and siltation evolution based on Yellow River Delta has been developed by determining the parameters to be simulated. The coastal distribution in 2013 has been successfully predicted. The main contents of this thesis are as follows: 1. This paper summarizes the changes of the Yellow River flow path and the shoreline evolution in the Yellow River Delta since the founding of the people's Republic of China, and analyzes the main influencing factors of the shoreline evolution: sediment content, river channel location, submarine topography, ocean dynamics, human activities, climate, etc. A remote sensing inversion model of suspended sediment concentration is constructed by analyzing the measured spectral curves. The inversion results are summarized and analyzed. By studying the cellular automata model and Monte Carlo method, the cellular transformation rules are determined, and a prediction model of shoreline erosion and siltation evolution based on the Yellow River Delta region is constructed. Combined with sediment remote sensing inversion results and remote sensing image data over the years, the evolution of shoreline and its influencing factors were analyzed.
【学位授予单位】：中国石油大学(华东)
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TV148;P737.1

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