Recent changes and forecast of the coastline of the Huanghe River deltaic regions

ZHU Lin; CHU Zhongxin; SHEN Kunming; CUI Enping; MA Xiaoge

doi:10.16028/j.1009-2722.2021.080

2022 Vol. 38, No. 8

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Article navigation > Marine Geology Frontiers > 2022 > 38(8): 20-27

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ZHU Lin, CHU Zhongxin, SHEN Kunming, CUI Enping, MA Xiaoge. Recent changes and forecast of the coastline of the Huanghe River deltaic regions[J]. Marine Geology Frontiers, 2022, 38(8): 20-27. doi: 10.16028/j.1009-2722.2021.080

Citation:

ZHU Lin, CHU Zhongxin, SHEN Kunming, CUI Enping, MA Xiaoge. Recent changes and forecast of the coastline of the Huanghe River deltaic regions[J]. Marine Geology Frontiers, 2022, 38(8): 20-27. doi: 10.16028/j.1009-2722.2021.080

Recent changes and forecast of the coastline of the Huanghe River deltaic regions

Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, College of Marine Geosciences, Ocean University of China, Qingdao 266100, China

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Corresponding author: CHU Zhongxin, zhongxinchu@ouc.edu.cn

Received Date: 07 April 2021

Accepted Date: 20 June 2022

Publish Date: 01 August 2022

Abstract

Abstract

Landsat MSS, TM, ETM+, OLI multi-temporal of 9 remote sensing data form 1976 to 2020 were used to extract the coastline of the Huanghe River deltaic regions. Quantitative analyses of the coastline in terms of the index of coastline type diversity, roughness index, the end point change rate, etc., were performed to understand the temporal and spatial evolution of the coastlines. The shoreline variation was predicted using the Kalman filter useful for the development and protection of the Huanghe River delta. Results show that in the past 44 years, the index of coastline type diversity has been increasing, and the coastline types have been diversified. The coastline was rough, the shape of the coastline roughness curve generally changed from relatively smooth to relatively tortuous, and then to little smoother than before gradually. Generally, the coastlines of the estuary area advanced rapidly seaward, while both sides of the region were eroded. The artificial coastlines remain stable. It was predicted that in 2030, the coastline near Q₈ Promontory and coastal area from Songchunronggou to Hutouya would advance seaward by sedimentary accumulation, whereas the coastline from the Dongfeng Port to Gudong Oilfield would retreat landward by erosion.
- Huanghe River Delta /
- coastline /
- remote sensing /
- river mouth region

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References

[1]	CHU Z X,SUN X G,ZHAI S K,et al. Changing pattern of accretion/erosion of the modern Yellow River (Huanghe) subaerial delta,China:based on remote sensing images[J]. Marine Geology,2006,227(1-2):13-30. doi: 10.1016/j.margeo.2005.11.013 CrossRef Google Scholar
[2]	MUSKANANFOLA M R, SUPRIHARYONO, FEBRIANTO S. Spatio-temporal analysis of shoreline change along the coast of Sayung Demak, Indonesia using Digital Shoreline Analysis System[J]. Regional Studies in Marine Science, 2020,34:101060. Google Scholar
[3]	CHU Z X,YANG X,FENG X,et al. Temporal and spatial changes in coastline movement of the Yangtze Delta during 1974–2010[J]. Journal of Asian Earth Sciences,2013,66(8):166-174. Google Scholar
[4]	VIVEK G,SANTONU G,et al. Monitoring of Chilika Lake mouth dynamics and quantifying rate of shoreline change using 30m multi-temporal Landsat data[J]. Data in Brief,2019,22:595-600. doi: 10.1016/j.dib.2018.12.082 CrossRef Google Scholar
[5]	韩志聪,樊彦国,李祥昌. 基于QGIS的黄河三角洲岸线演变预测系统设计与实现[J]. 测绘与空间地理信息,2016,39(6):102-104. doi: 10.3969/j.issn.1672-5867.2016.06.031 CrossRef Google Scholar
[6]	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
[7]	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(5):339-346. doi: 10.3321/j.issn:1000-0585.2004.03.007 CrossRef Google Scholar
[8]	陈小英, 刘大海. 黄河三角洲生态环境分析与评估: 海岸演变生态服务发展潜力[M]. 北京: 海洋出版社, 2012. Google Scholar
[9]	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
[10]	山东省质量技术监督局. DB37/T 3588—2019. 海岸线调查技术规范[S]. 山东: 山东省标准化研究院, 2019-05-09. Google Scholar
[11]	毋亭. 近70年中国大陆岸线变化的时空特征分析[D]. 烟台: 中国科学院烟台海岸带研究所, 2016. Google Scholar
[12]	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. doi: 10.3969/j.issn.0253-4193.2020.05.011 CrossRef Google Scholar
[13]	彭丁聪. 卡尔曼滤波的基本原理及应用[J]. 软件导刊,2009,8(11):32-34. Google Scholar
[14]	何金宝. 近30年海南岛岸线时空变迁与分析预测[D]. 北京: 中国地质大学（北京）, 2020. Google Scholar
[15]	CHU Z X. The dramatic changes and anthropogenic causes of erosion and deposition in the lower Yellow (Huanghe) River since 1952[J]. Geomorphology,2014,216(1):171-179. Google Scholar