1987-2017年莱州湾沿岸土地利用变化及其对海岸线变化的影响

王志成; 高志强; 尚伟涛; 姜晓鹏

doi:10.13961/j.cnki.stbctb.2021.01.042

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1987-2017年莱州湾沿岸土地利用变化及其对海岸线变化的影响

试验与调查研究

- 1987-2017年莱州湾沿岸土地利用变化及其对海岸线变化的影响
- Land Use Change and Its Influence on Coastline Change Along Laizhou Bay During 1987-2017
- 水土保持通报 2021年41卷第1期页码：309-316
- 作者机构：
  
  1. 中国科学院海岸带环境过程与生态修复重点实验室(烟台海岸带研究所),山东,烟台,264003
  2. 中国科学院大学,北京,100049
  3. 山东省海岸带环境过程重点实验室, 中国科学院烟台海岸带研究所,山东,烟台,264003
- 作者简介：
- 基金信息：
  
  山东省联合资助项目“人类活动对山东半岛典型海湾生态系统环境的影响及其碳储效应”（U1706219）;国家自然科学基金（41876107）;中国科学院海洋大科学研究中心重点部署项目（COMS2019J02）;中国科学院前沿科学重点研究计划（ZDBS-LY-7010）
- DOI：10.13961/j.cnki.stbctb.2021.01.042
  中图分类号： P748;TP79
- 纸质出版：2021
- 稿件说明：
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王志成, 高志强, 尚伟涛, 等. 1987-2017年莱州湾沿岸土地利用变化及其对海岸线变化的影响[J]. 水土保持通报, 2021,41(1):309-316.

Wang Zhicheng, Gao Zhiqiang, Shang Weitao, et al. Land Use Change and Its Influence on Coastline Change Along Laizhou Bay During 1987-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(1): 309-316.
王志成, 高志强, 尚伟涛, 等. 1987-2017年莱州湾沿岸土地利用变化及其对海岸线变化的影响[J]. 水土保持通报, 2021,41(1):309-316. DOI： 10.13961/j.cnki.stbctb.2021.01.042.

Wang Zhicheng, Gao Zhiqiang, Shang Weitao, et al. Land Use Change and Its Influence on Coastline Change Along Laizhou Bay During 1987-2017[J]. Bulletin of Soiland Water Conservation, 2021, 41(1): 309-316. DOI： 10.13961/j.cnki.stbctb.2021.01.042.

摘要

[目的] 阐释莱州湾沿岸土地利用变化及其对海岸线的影响，为政府以及相关部门在进行海岸线规划提供土地利用方面的数据支撑。[方法] 提取莱州湾近岸1987-2017年的土地利用变化信息以及海岸线空间分布，计算土地利用程度指数，随后利用DSAS计算相邻时相海岸线各段的变化速率，通过ArcGIS软件的叠加分析工具，得到影响各个时相海岸线变化速率和海岸线长度的信息。[结果] ① 1987-2017年，水产养殖用地、盐场用地以及建设用地面积逐渐增加；内陆水体面积总体呈增加趋势；裸地呈减少趋势；草地和耕地则先增加后减少；林地变化不明显。②土地利用程度逐渐变强，土地利用程度强等级由零散点分布变为集中面状分布。③土地利用以围填海的形式影响海岸线的变化速率。莱州湾内部的围海和人工填海使得岸线向海推进。黄河泥沙淤积填海使得黄河三角洲处的岸线向海推进，而该处岸线的背海移动则主要受到海水影响。[结论] 莱州湾沿岸土地利用变化明显，土地利用程度逐年变强。土地利用以围填海的形式影响海岸线的变化速率，使得海岸线既有向海推进又有背海移动。裸地和水产养殖用地为1987-2005年影响海岸线长度的主导因素，建设用地和裸地为2005-2017年影响海岸线长度的主导因素。

Abstract

[Objective] The land use change and its influence on coastline change along Laizhou Bay was illustrated in order to provide land use data support for the government and relevant departments in coastline planning.[Methods] The land-use and land-cover change(LUCC) information of the coastwise area of Laizhou Bay and spatial distribution of coastlines from 1987 to 2017 was extracted

and land use degree index was calculated. Then the digital shoreline analysis system (DSAS) was used to calculate the adjacent phase change rate of coastlines. By the tool of overlay in ArcGIS

the factors which influence the change rate and length of coastlines were obtained.[Results] ① The area of aquaculture land

salt farm land and construction land had increased gradually from 1987 to 2017; and the area of inland water had increased on the whole; the area of bare land had decreased; and the area of grassland and cultivated land had increased and then decreased; the change of forest land had not been obvious. ② The land use degree had gradually become stronger

the land use degree with strong grade had changed from scattered distribution to centralized facet distribution. ③ Land use had affected the change rate of coastline in the form of reclamation of the sea. The enclosed sea and artificial making grounds within Laizhou Bay had pushed the coastlines to the sea; The coastline of the Yellow River delta had been pushed to the sea by the sedimentation of the Yellow River and the backsea movement of the coastlines had mainly been affected by seawater.[Conclusion] The land use along Laizhou Bay had changed obviously

and the degree of land use had been getting stronger. Land use affected the change rate of coastline in the form of reclamation of the sea

which made the coastline both advance to the sea and move back to the sea. Bare land and aquaculture land were the leading factors influencing coastline length from 1987 to 2005

while construction land and bare land were the leading factors influencing coastline length from 2005 to 2017.

关键词

Keywords

references

杨继文,刘欣岳,邓蜀江.基于多时相遥感影像的海岸线变化监测研究[J].测绘与空间地理信息,2020,43(3):107-108,112.

刘鹏,王庆,战超,等.基于DSAS和FA的1959-2002年黄河三角洲海岸线演变规律及影响因素研究[J].海洋与湖沼,2015,46(3):585-594.

邢贞相,刁晴茹,纪毅,等.基于遥感的辽河口岸线动态变化及成因分析[J].东北农业大学学报,2020,51(5):70-77.

丁小松,单秀娟,陈云龙,等.基于数字化海岸分析系统(DSAS)的海岸线变迁速率研究:以黄河三角洲和莱州湾海岸线为例[J].海洋通报,2018,37(5):565-575.

朱高儒,许学工.渤海湾西北岸1974-2010年逐年填海造陆进程分析[J].地理科学,2012,32(8):1006-1012.

胡亚斌,任广波,马毅,等.基于多时相GF-1和Landsat影像的连云港市44年海岸线遥感监测与演变分析[J].海洋技术学报,2019,38(6):9-16.

王建,张军强,郭志谦,等.莱州湾南部地区1973-2016年海岸演化及防护对策[J].海洋地质前沿,2019,35(2):27-36.

温馨燃,王建国,王雨婷,等.1985-2017年环渤海地区围填海演化及驱动力分析[J].水土保持通报,2020,40(2):85-91,99.

李亚宁,王倩,郭佩芳,等.近20 a来渤海岸线演替及其开发利用策略[J].海洋湖沼通报,2015(3):32-38.

李博炎,张饮江.环渤海地区的海岸线及围填海动态变化分析[C]//2015年中国环境科学学会学术年会论文集.深圳,2015:1218-1225.

李刚,孙桂华,姚永坚,等.三沙湾海岸线时空演变[J].吉林大学学报(地球科学版),2019,49(1):196-205.

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):117-127.

Sheik M, Chandrasekar A. Shoreline change analysis along the coast between Kanyakumari and Tuticorin, India, using digital shoreline analysis system[J]. Geo-Spatial Information Science, 2011,14(4):282-293.

Appeaning Addo K, Walkden M, Mills J P. Detection, measurement and prediction of shoreline recession in Accra, Ghana[J]. Journal of Photogrammetry and Remote Sensing, 2008,63(5):543-558.

Sui Lichun, Wang Jun, Yang Xiaomei, et al. Spatial-temporal characteristics of coastline changes in Indonesia from 1990 to 2018[J]. Sustainability, 2020,12(8):3242.

Emran A, Rob M A, Kabir M H. Coastline Change and Erosion-Accretion Evolution of the Sandwip Island, Bangladesh[J]. International Journal of Applied Geospatial Research, 2017,8(2):33-44.

Esteves L S, Williams J J, Dillenburg S R. Seasonal and interannual influences on the patterns of shoreline changes in Rio Grande do Sul, Southern Brazil[J]. Journal of Coastal Research, 2006,225:1076-1093.

庄大方,刘纪远.中国土地利用程度的区域分异模型研究[J].自然资源学报,1997,12(2):10-16.

Crowell M, Leatherman S P, Buckley L M K. Historical Shoreline Change:Error Analysis and Mapping Accuracy[J]. Journal of Coastal Research, 1991,7(3):839-852.

赖冠中,陈文音.基于自然断点法分析的城乡建设用地整理潜力分区研究:以汕头市濠江区为例[J].广西城镇建设,2019(12):123-127.

朱高儒,许学工.填海造陆的环境效应研究进展[J].生态环境学报,2011,20(4):761-766.

刘春琳,孙艺.填海造陆对天津大沽口海洋环境影响分析研究[J].盐科学与化工,2019,48(5):28-32.

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