海岸侵蚀脆弱性及驱动因子分析——以江苏中部海岸为例

章志, 刘宪光, 周凯, 林伟波, 冒士凤, 李兰满

海洋学研究 ›› 2023, Vol. 41 ›› Issue (4) : 70-83.

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PDF(3352 KB)
海洋学研究 ›› 2023, Vol. 41 ›› Issue (4) : 70-83. DOI: 10.3969/j.issn.1001-909X.2023.04.007
研究报道

海岸侵蚀脆弱性及驱动因子分析——以江苏中部海岸为例

作者信息 +

Vulnerability and driving factors of coastal erosion: A case study of the central coast of Jiangsu

Author information +
文章历史 +

摘要

海岸侵蚀导致土地流失,严重威胁人民生命财产安全,识别海岸侵蚀脆弱性对于防灾减灾意义重大。从海岸动力、海岸形态和社会经济三个方面构建评价指标体系,利用数字化海岸线分析系统(digital shoreline analysis system,DSAS)和遥感数据,采用断面法将海岸离散为等间距的评价单元,基于熵权法确定评价指标权重、等级并计算海岸侵蚀脆弱性,利用地理探测器识别海岸侵蚀脆弱性的空间分异和影响因素。结果表明:江苏中部海岸侵蚀脆弱性为极高脆弱、高脆弱、中脆弱、低脆弱和极低脆弱的比例分别为5.60%、15.80%、30.93%、24.21%和23.46%,海岸侵蚀脆弱性总体呈现北高南低的分布趋势,其中为极脆弱的区域主要位于中山河口—射阳河口之间的海岸区域。江苏中部海岸侵蚀脆弱性的空间分异是海岸动力、海岸形态、社会经济多重因素协同作用的结果,其中潮滩坡度、地表覆盖类型、平均潮差、海岸线变化速率是海岸侵蚀脆弱性空间分异的主导因子。

Abstract

Coastal erosion leads to land loss and seriously threatens people’s life and property safety. It is great significant to identify coastal erosion vulnerability for disaster prevention and mitigation. The evaluation index system was constructed from three aspects: coastal dynamics, coastal morphology and social economy. Using the DSAS model and remote sensing data, the coast was discretized into equally spaced units based on section method, the weight and grade of the evaluation index were determined based on the entropy weight method, the coastal erosion vulnerability in the study area was calculated, and the spatial differentiation and influencing factors of coastal erosion vulnerability were identified by geographic detector. The results showed that the proportions of coastal erosion vulnerability for extremely high vulnerability, high vulnerability, medium vulnerability, low vulnerability and extremely low vulnerability in central coast of Jiangsu were 5.60%, 15.80%, 30.93%, 24.21%, and 23.46%, respectively, that showed a decreasing trend from north to south. The extremely vulnerable areas of coastal erosion were mainly located in the coastal area between the Zhongshan Estuary and the Sheyang Estuary. The spatial differentiation of coastal erosion vulnerability in central Jiangsu was the result of the synergistic effect of multiple factors such as coastal dynamics, coastal morphology, and economic and social activities. Among them, tidal slope, land cover, average tidal range, and coastline change rate were the dominant factors for the spatial differentiation of coastal erosion vulnerability.

关键词

海岸侵蚀 / 脆弱性 / DSAS / 地理探测器 / 驱动因子

Key words

coastal erosion / vulnerability / DSAS / geographical detector / driving factor

引用本文

导出引用
章志, 刘宪光, 周凯, . 海岸侵蚀脆弱性及驱动因子分析——以江苏中部海岸为例[J]. 海洋学研究. 2023, 41(4): 70-83 https://doi.org/10.3969/j.issn.1001-909X.2023.04.007
ZHANG Zhi, LIU Xianguang, ZHOU Kai, et al. Vulnerability and driving factors of coastal erosion: A case study of the central coast of Jiangsu[J]. Journal of Marine Sciences. 2023, 41(4): 70-83 https://doi.org/10.3969/j.issn.1001-909X.2023.04.007
中图分类号: P737.1   

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The coast of Jiangsu is famous for its dynamic singularity of both serious eroded coast reach and rapid progradingone. The erosional coast of Jiangsu is 301.7km long or 31.6% of the province total shoreline. Of them muddy coast is 271.6km and sandy coast, 30.1km, which is the only segment of sandy coast in Jiangsu. This singularity is relevant to the following three features. The first one is the effect by great changes of the two big river mouths. The lower reaches of the Huanghe River began to enter the Yellow Sea by north of Jiangsu in 1128 after capturing the Huaihe River and was back to the Bohai Sea by Shandong Province in 1855. This evolution of the Huanghe River, which famous for carrying plenty of sediments, caused great hydrodynamic change, especially the sedimentation conditions of the Jiangsu coast. The second one is the long muddy coast.During the 700 years that the Huanghe River entered the Yellow Sea by Jiangsu, the coast was transformed from sandy coast to muddy, and 92% of the shoreline of Jiangsu is muddy coast now. The third one is the diversity of the openness of the several coast reaches. With the substantial change of the large-scale submarine sand ridge fields on the inner continental shelf, the screening state of the coast reaches changes accordingly. There are four segments of the erosional coast reaches in Jiangsu. The first one is the abandoned Huanghe River Delta coast. The delta shoreline and the subaquatic delta have been heavily eroded because of the losing of sediments supply. Meantime, the coast reach of the abandoned river mouth retreated rapidly and has not been controled until the 1970s when the seawall and the bank protection were built. But this promotes the vertical erosion on the intertidal flat.The average rate of vertical erosion from 1980 to 1992 is 13.5 cm/a. The isobath of 15 m is only 4.65 km away from the bank, and the isobath of 10 m moved 0.37 km every year toward the bank from 1937 to 1994. The second isLusi coast, the southern part of the coast of Jiangsu. The erosion of this segment is mainly because of large-scale tidal channel movement toward the bank and development of winding. The shoreline retreated more than 1 km from 1916 to 1969. The super tidal flat in front of the seawall was wholly eroded, and the rate of vertical erosion on the intertidal flat is 3.6 cm/a. The third segment is the Jianggang coast. Some tidal creeks on the tidal flat moving toward the bank caused heavy erosion, and some erosional mud cliffs are as high as 5 m. The cliffs can retreat 20-30 m within one spring tide cycle. The fourth is the sandy coast in the northern part of Jiangsu coast. Some dams were built on some rivers flowing into the sea and break off the sediment source supplying the coast. Meanwhile, digging of coastal sands helped the erosion.

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摘要
空间分异是自然和社会经济过程的空间表现,也是自亚里士多德以来人类认识自然的重要途径。地理探测器是探测空间分异性,以及揭示其背后驱动因子的一种新的统计学方法,此方法无线性假设,具有优雅的形式和明确的物理含义。基本思想是:假设研究区分为若干子区域,如果子区域的方差之和小于区域总方差,则存在空间分异性;如果两变量的空间分布趋于一致,则两者存在统计关联性。地理探测器q统计量,可用以度量空间分异性、探测解释因子、分析变量之间交互关系,已经在自然和社会科学多领域应用。本文阐述地理探测器的原理,并对其特点及应用进行了归纳总结,以利于读者方便灵活地使用地理探测器来认识、挖掘和利用空间分异性。
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Spatial stratified heterogeneity is the spatial expression of natural and socio-economic process, which is an important approach for human to recognize nature since Aristotle. Geodetector is a new statistical method to detect spatial stratified heterogeneity and reveal the driving factors behind it. This method with no linear hypothesis has elegant form and definite physical meaning. Here is the basic idea behind Geodetector: assuming that the study area is divided into several subareas. The study area is characterized by spatial stratified heterogeneity if the sum of the variance of subareas is less than the regional total variance; and if the spatial distribution of the two variables tends to be consistent, there is statistical correlation between them. Q-statistic in Geodetector has already been applied in many fields of natural and social sciences which can be used to measure spatial stratified heterogeneity, detect explanatory factors and analyze the interactive relationship between variables. In this paper, the authors will illustrate the principle of Geodetector and summarize the characteristics and applications in order to facilitate the using of Geodetector and help readers to recognize, mine and utilize spatial stratified heterogeneity.

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基金

自然资源部华东海岸带野外科学观测研究站开放基金(ORSECCZ2022103)
国家重点研发计划课题(2018YFC0407504)
江苏省省级海洋科技创新专项(JSZRHYKJ202214)
江苏省省级海洋科技创新专项(HY2018-1)

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