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基于遥感分析的海南省昌化江河口泥沙运移模式研究

发布时间:2018-12-24 11:56
【摘要】:昌化江三角洲前缘发育有一条条不完全相连的沙坝和沙嘴,走势基本与岸线平行,符合浪控三角洲的发育特征;但其沙坝只在河口与河口南岸发育,并向西南方向延伸至北黎湾湾口北侧,河口北岸则为基岩海岸,少有沙坝发育,显示出三角洲发育的不对称性。河口周围海域表层悬浮泥沙分布与运移是泥沙运动的具体反映,对三角洲的形成和发育具有重要作用。 本文通过对昌化江河口及邻近海域12个站位的水体悬浮泥沙数据、水体光谱数据的采集、处理和分析,,结合经过预处理的7个时景的遥感影像资料,依据定量遥感反演原理在SPSS平台下完成回归分析,得到适用于昌化江河口及邻近海域的悬浮泥沙定量反演公式,并对其进行精度检验。在ArcGIS10.0平台下代入该公式完成1995年~2013年7个时相遥感影像的反演,输出悬沙浓度分布图并进行分析与讨论。 取得的成果和结论: 1、得到适用于昌化江河口及邻近海域的悬浮泥沙反演公式: S=0.005+0.197X_r+0.237X_r~2 同时发现TM和GF-1WFV3数据的第四波段(0.77~0.89μm)范围内的水体反射率对悬浮泥沙度变化更为敏感,反演效果更好,适用于本区反演公式的建立,弥补了研究区河口水色遥感反演研究的空白。 2、昌化江携带入海的大部分泥沙会沿海岸向河口南侧运移,部分进入北黎湾湾口内,造成河口南岸海域、北黎湾北侧湾口等海域水体悬沙浓度较高,其他海域悬沙浓度较低,这种泥沙运移模式主要受到波浪和沿岸流共同作用的影响。 3、昌化江河口悬沙浓度较高的区域发育有不对称的浪控三角洲的沙坝和沙嘴,河口泥沙的运移模式控制了浪控三角洲南偏的不对称发育,也可能促进了特殊条状沉积的形成。 4、ENVI软件平台下的FLAASH模块完成遥感影像大气校正后输出的结果是地表真实反射率乘以10000的值,通过ENVI的波段计算工具难以实现影像的反演,需要通过ArcGIS10.0平台下的栅格计算器功能来完成,并将数据保存为浮点型的Grid格式。
[Abstract]:The front edge of Changhua River Delta has a bar and sand mouth which is not completely connected, and the trend is basically parallel to the shoreline, which accords with the development characteristics of the wave-controlled delta. However, the sandbar is only developed in the estuary and the south bank of the estuary, and extends southwestward to the north side of the mouth of the North Liwan Bay, while the north shore of the estuary is the bedrock coast, and few sandbars develop, showing the asymmetry of delta development. The surface suspended sediment distribution and transport around the estuary is a concrete reflection of sediment movement and plays an important role in the formation and development of the delta. Based on the collection, processing and analysis of the suspended sediment data and spectral data of 12 stations in the estuary of Changhua River and its adjacent sea area, the remote sensing images of 7 time scenes have been pretreated. Based on the principle of quantitative remote sensing inversion, the regression analysis was completed on the SPSS platform, and the quantitative inversion formula of suspended sediment suitable for the estuary of Changhua River and its adjacent sea area was obtained, and the accuracy of the formula was tested. The inversion of seven temporal remote sensing images from 1995 to 2013 is completed by using this formula on the ArcGIS10.0 platform. The suspended sediment concentration distribution map is output and analyzed and discussed. Results and conclusions achieved: 1 The inversion formula of suspended sediment suitable for Changhua River Estuary and its adjacent sea area is obtained: S0. 005 0.197X_r 0.237X_r~2 is used to find the inversion of water body in the fourth band (0. 77 0. 89 渭 m) of TM and GF-1WFV3 data at the same time. The emissivity is more sensitive to the variation of suspended sediment. The inversion effect is better, which is suitable for the establishment of inversion formula in this area, which makes up the gap of remote sensing inversion of estuarine water color in the study area. (2) most of the sediment carried into the sea by the Changhua River will move along the coast to the south of the estuary, and partly into the mouth of the North Liwan Bay, resulting in higher suspended sediment concentrations in the waters along the south coast of the estuary, the northern mouth of the North Li Bay, and the lower concentration of suspended sediment in other sea areas. The sediment transport model is mainly affected by the interaction of waves and coastal currents. 3. In the region with high suspended sediment concentration in the estuary of Changhua River, there are asymmetrical bars and sandbars of the wave controlled delta. The sediment transport model of the estuary controls the asymmetrical development of the south side of the delta, and may also promote the formation of special stripe deposits. The result of atmospheric correction of remote sensing image by FLAASH module based on FLAASH software platform is that the true reflectivity of the surface is multiplied by 10000, and it is difficult to realize the inversion of the image by using the band calculation tool of ENVI. It needs to be completed by grid calculator function under ArcGIS10.0 platform, and save the data to floating point Grid format.
【学位授予单位】:中国地质大学(北京)
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TV148

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