Evolution and prediction of shoreline erosion and siltation in Haizhou Bay

KONG Dexuan; ZHANG Cunyong; HOU Jiankang

doi:10.16028/j.1009-2722.2022.241

2024 Vol. 40, No. 2

Article Contents

Article navigation > Marine Geology Frontiers > 2024 > 40(2): 28-36

Next Article Previous Article

KONG Dexuan, ZHANG Cunyong, HOU Jiankang. Evolution and prediction of shoreline erosion and siltation in Haizhou Bay[J]. Marine Geology Frontiers, 2024, 40(2): 28-36. doi: 10.16028/j.1009-2722.2022.241

Citation:

KONG Dexuan, ZHANG Cunyong, HOU Jiankang. Evolution and prediction of shoreline erosion and siltation in Haizhou Bay[J]. Marine Geology Frontiers, 2024, 40(2): 28-36. doi: 10.16028/j.1009-2722.2022.241

Evolution and prediction of shoreline erosion and siltation in Haizhou Bay

1.
School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China

More Information

Corresponding author: ZHANG Cunyong, 450800334@qq.com

Received Date: 01 September 2022

Publish Date: 28 February 2024

Abstract

Abstract

The Lansat 8 remote sensing images of Haizhou Bay, Jiangsu, East China, in nine years from 2013 to 2021 were selected to analyze the evolution of erosion and siltation of various types of coastlines in Haizhou Bay in terms of the diversity index of coastline types, shoreline change rate (EPR), and net coastal movement (NSM) of coastline changes in the nine years, and qualitatively predict the coastline of 2025 based on the Prophet model. Results show that the bedrock shoreline was relatively stable as a whole in the past nine years, the muddy shoreline from Qindao pier to Linhong River mouth was unstable with obvious oceanward siltation, and the sandy shoreline was relatively stable as a whole with no obvious erosion and siltation tendency. It is predicted that in 2025, the muddy shoreline of Haizhou Bay and the shoreline in Linhong River mouth will extend seaward, and the remaining shorelines will be relatively stable without obvious siltation and erosion changes.
- Haizhou Bay /
- remote sensing /
- coastline /
- EPR /
- NSM /
- Prophet model

FullText(HTML)

References

[1]	王颖,季小梅. 中国海陆过渡带:海岸海洋环境特征与变化研究[J]. 地理科学,2011,31(2):129-135. Google Scholar
[2]	SHEIK M. A shoreline change analysis along the coast between Kanyakumari and Tuticorin,India,using digital shoreline analysis system[J]. 地球空间信息科学学报(英文),2011,14(4):282-293. Google Scholar
[3]	巢子豪,高一博,谢宏全,等. 1984—2012年海州湾海岸线时空演变研究[J]. 海洋科学,2016,6:95-100. doi: 10.11759/hykx20151218001 CrossRef Google Scholar
[4]	沈昆明,李安龙,蒋玉波,等. 基于数字岸线分析系统的海岸线时空变化速率分析:以海州湾为例[J]. 海洋学报,2020,42(5):5-11. Google Scholar
[5]	王奎峰,李念春,王薇. 黄河三角洲多年海岸线动态变迁特征及演化规律[J]. 应用海洋学学报,2018,37(3):330-338. doi: 10.3969/J.ISSN.2095-4972.2018.03.004 CrossRef Google Scholar
[6]	王厚军,袁广军,刘亮,等. 海岸线分类及划定方法研究[J]. 海洋环境科学,2021,40(3):430-434. doi: 10.12111/j.mes.20200109 CrossRef Google Scholar
[7]	国家海洋局908专项办公室. 我国近海海洋综合调查与评价专项技术规程[M]. 北京: 海洋出版社, 2006. Google Scholar
[8]	常军,刘高焕,刘庆生. 黄河口海岸线演变时空特征及其与黄河来水来沙关系[J]. 地理研究,2004,23(3):339-346. doi: 10.3321/j.issn:1000-0585.2004.03.007 CrossRef Google Scholar
[9]	张林鹏,于婉,张子莺,等. 基于MNDWI/LSMM/K-T变换的淮河流域面状水体提取的比较研究:以南湾水库为例[J]. 北方环境,2020,32(10):142-144,146. Google Scholar
[10]	孙佩,汪权方,张梦茹,等. 基于NDVI-MNDWI特征空间的水体信息增强方法研究[J]. 湖北大学学报(自然科学版),2018,40(6):574-579. doi: 10.3969/j.issn.1000-2375.2018.06.005 CrossRef Google Scholar
[11]	李明,郑小慎. 二次改进归一化差异水体指数(SMNDWI)提取海岸线的研究[J]. 海洋通报(英文版),2016,18(2):15-27. Google Scholar
[12]	鞠超. 基于面向对象的高分一号遥感图像海岸线自动提取研究[D]. 阜新: 辽宁工程技术大学, 2017. Google Scholar
[13]	祝琳,褚忠信,沈昆明,等. 黄河三角洲近期海岸线演变与预测[J]. 海洋地质前沿,2022,38(8):20-27. doi: 10.16028/j.1009-2722.2021.080 CrossRef Google Scholar
[14]	NASSAR K,FATH H,MAHMOD W E,et al. Automatic detection of shoreline change:case of North Sinai coast,Egypt[J]. Journal of Coastal Conservation,2018,22:1057-1083. doi: 10.1007/s11852-018-0613-1 CrossRef Google Scholar
[15]	李帅,汤振权,匡亚红. 湖北省近50年来的气温和降水变化趋势分析[J]. 安徽农业科学,2009,37(4):1652-1655. doi: 10.3969/j.issn.0517-6611.2009.04.108 CrossRef Google Scholar
[16]	TAYLOR J S,LETHAM B. Forecasting at scale[J]. The American Statistician,2018,72(1):37-45. doi: 10.1080/00031305.2017.1380080 CrossRef Google Scholar
[17]	许浩然,陈中举,杨兆前,等. 基于Prophet模型的湖北省月降水量预测[J]. 节水灌溉,2022,2:7-12,20. doi: 10.3969/j.issn.1007-4929.2022.02.002 CrossRef Google Scholar
[18]	沈昆明,李安龙,蒋玉波,等. 基于数字岸线分析系统的海岸线时空变化速率分析:以海州湾为例[J]. 海洋学报(中文版),2020,42(5):117-127. Google Scholar