设为首页 | 加入收藏
沙宏杰,张东,崔丹丹,吕林,倪鹏.剖面形态自适应的海岸线遥感推算方法[J].365体育开户_万博体育365_365棋牌体育,2019,41(9):170-180
剖面形态自适应的海岸线遥感推算方法
Remote sensing prediction method of coastline based on self-adaptive profile morphology
投稿时间:2018-09-06??修订日期:2018-12-06
DOI:10.3969/j.issn.0253-4193.2019.09.016
中文关键词:??剖面形态??自适应??海岸线??遥感??季节性变化
英文关键词:profile morphology??self-adaption??coastline??remote sensing??seasonal variation
基金项目:国家自然科学基金项目(41771447);江苏省海洋科技创新专项项目(HY2018-3)。
作者单位E-mail
沙宏杰?南京师范大学 地理科学学院, 江苏 南京 210023??
张东?南京师范大学 海洋科学与工程学院, 江苏 南京 210023
江苏省地理信息资源开发与利用协同创新中心, 江苏 南京 210023?
zhangdong@njnu.edu.cn?
崔丹丹?江苏省海域使用动态监视监测中心, 江苏 南京 210003??
吕林?江苏省海域使用动态监视监测中心, 江苏 南京 210003??
倪鹏?南京师范大学 海洋科学与工程学院, 江苏 南京 210023??
摘要点击次数:?28
全文下载次数:?37
中文摘要:
??????淤泥质海岸冲淤变化大,岸滩剖面形态多样。本文首先根据多时相遥感水边线之间的潮差关系自动判断岸滩剖面形态,进而分别采用不同的函数进行剖面拟合,构建了一种剖面形态自适应的海岸线遥感推算新方法,并在江苏中部淤泥质海岸进行了实证应用。研究表明:下凹形侵蚀岸段、斜坡形平缓岸段和上凸形淤长岸段分别采用三指数衰减函数、线性函数和二阶多项式函数具有良好的剖面拟合效果,利用3条水边线数据拟合所得剖面平均坡度绝对误差分别为0.20‰、-0.17‰和0.13‰,小于剖面实测平均坡度一个数量级。利用5条水边线数据拟合进行海岸线推算时,侵蚀岸段、平缓岸段的海岸线平面位置误差分别为6.5 m和-91.96 m,与平均坡度法相比,误差减小约82.4%。进一步考虑岸滩季节性变化时,使用冬季的水边线数据推算海岸线,对侵蚀岸段和淤长岸段影响不大,但对斜坡形平缓岸段,误差减小约63.65%,因此使用冬季的水边线数据比不区分季节具有更高的海岸线推算精度。
英文摘要:
??????The muddy coast has a large change in scouring and silting, and the beach profile is diverse. Firstly, according to the tidal range relationship between muti-temporal remote sensing watelines, the shape of the shoreline is automatically judged, and then the different functions are used to fit the profile. A new method of coastline remote sensing prediction based on self-adaptive profile morphology is constructed. The central muddy coast in Jiangsu has been empirically applied. The research shows that the concave-shaped erosion shore section, the slope-shaped gentle bank section and the upper convex-shaped siltation section use a three-exponential decay function, a linear function and a second-order polynomial function respectively to have a good profile fitting effect, using three waterlines. The absolute slope error of the profile obtained by data fitting is 0.20‰, -0.17‰, and 0.13‰, respectively, which is less than an order of magnitude than the measured average slope. When using the five waterlines data fitting to calculate the coastline, the error of the coastline plane position of the erosion shore section and gentle shore section are 6.5 m and -91.96 m, respectively, and the error is reduced by about 82.4% compared with the average slope method. Further consideration of seasonal changes in the beach, using the waterline data of the winter to calculate the coastline, has little effect on the erosion of the shore and the long section of the silt, but for the slope-shaped smooth section, the error is reduced by about 63.65%, so the use of winter waterline data has a higher shoreline projection accuracy than the season without distinction.
查看全文 ??查看/发表评论??下载PDF阅读器
关闭
微信公共账号