Please wait a minute...
img

官方微信

遥感技术与应用  2022, Vol. 37 Issue (5): 1149-1158    DOI: 10.11873/j.issn.1004-0323.2022.5.1149
海南遥感观测专栏     
海南岛海岸侵蚀脆弱性评价
王奎博1,2,3(),张丽1,3,王瑞琪2,陈博伟1,3,李习文4()
1.海南省地球观测重点实验室,海南 三亚 572029
2.北京洛斯达科技发展有限公司,北京 100120
3.中国科学院空天信息创新研究院数字地球重点实验室,北京 100094
4.海口海洋地质调查中心,海南 海口 571127
Evaluation of Coastal Erosion Vulnerability in Hainan Island
Kuibo Wang1,2,3(),Li Zhang1,3,Ruiqi Wang2,Bowei Chen1,3,Xiwen Li4()
1.Hainan Key Laboratory of Earth Observation,Sanya 572029,China
2.Beijing North-Star Technology Development Company Limited,Beijing 100120,China
3.Key Laboratory of Digital Earth Science,Aerospace Information Research Institute,Chinese Academy of;Science,Beijing 100094,China
4.Haikou Research Centre of Marine Geology,Haikou 571127,China
 全文: PDF(5456 KB)   HTML
摘要:

开展海南岛海岸侵蚀脆弱性评价对于沿海地区生态资源保护和灾害预防有着重要意义。采用生态系统服务和权衡的综合评估模型(Integrated Valuation of Ecosystem Services and Trade-offs, InVEST)中的沿海脆弱性模型合成暴露度指数EI(Exposure Index)对海南岛海岸侵蚀脆弱性开展评价。针对典型研究区建立海岸特征—海岸动力—经济社会指标评价体系,优选海岸带特色评价因子包括海岸侵蚀速率、海岸类型、海岸生境等,进一步利用综合指数法量化脆弱性指数,最终获得海南岛沿海不同情境下的脆弱性,以及重点区域海岸侵蚀速率和侵蚀脆弱性等级。研究结果表明:①海南岛侵蚀脆弱性空间分布呈现东低西高,其中西南部市县脆弱性最高,东南部市县脆弱性最低,其余地区脆弱性适中。无生境情境下的沿海脆弱性远高于处于生境保护情境。②典型研究区海口东西海岸2016年至2020年砂质海岸受较多侵蚀,最多处超20 m/a。海口市龙华、美兰等主要城区海岸侵蚀脆弱性高,西海岸、东海岸分别次之,东寨港地区脆弱性最低。③研究发现在红树林等生境保护下的海岸可以有效得到保护,脆弱性极低,而退化的砂质岸线表现较高的脆弱性。因此保护沿海生境和防止沿海泥沙流失具有必要性。

关键词: 海岸侵蚀海岸脆弱性InVEST模型综合指标模型    
Abstract:

Carrying out coastal erosion vulnerability assessment of Hainan Island is of great significance to the protection of ecological resources and disaster prevention in coastal areas. In this paper, the coastal vulnerability index EI (Exposure Index) of the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model is used to evaluate the coastal erosion vulnerability of Hainan Island. Then the evaluation system of coastal characteristics-coastal dynamics-economic and social indicators was established for the typical study area. Suitable evaluation factors for coastal zone characteristics were selected including coastal erosion rate, coastal type, coastal habitat, etc. The vulnerability index was quantified using the integrated index method. Finally, the vulnerability of the coast of Hainan Island under different scenarios, as well as the coastal erosion rate and erosion vulnerability class of the key areas were obtained. The study shows that: (1) The spatial distribution of erosion vulnerability on Hainan Island is low in the east and high in the west, with the highest vulnerability in the southwestern cities and counties, the lowest vulnerability in the southeastern cities and counties, and moderate vulnerability in the remaining areas. The coastal vulnerability in the habitat-free scenario is much higher than in the habitat-protected scenario. (2) The sandy shore of the east and west coast of Haikou in the typical study area is subject to more erosion from 2016 to 2020, with the most places exceeding 20 m/a. Coastal erosion vulnerability is high in the main urban areas of Haikou such as Longhua and Meilan District, followed by the west coast and east coast, respectively, and the lowest vulnerability in the Dongzhai Port area. (3) The study found that the coast under the protection of mangroves and other habitats can be effectively protected with very low vulnerability, while the degraded sandy shoreline shows high vulnerability, so it is necessary to protect coastal habitats and prevent coastal sediment loss.

Key words: Coastal erosion    Coastal vulnerability    InVEST model    Integrated metrics model
收稿日期: 2022-04-21 出版日期: 2022-12-13
ZTFLH:  P737.1  
基金资助: 海南省重大科技计划项目(ZDKJ2019006);中国科学院战略性先导科技专项(A类)(XDA19030105);海南省科协青年科技英才创新计划项目(QCXM2020012);海南岛昌化江流域生态修复支撑调查(ZD20220209)
通讯作者: 李习文     E-mail: 15650175785@163.com;lxw1818168@163.com
作者简介: 王奎博(1997-),男,山东烟台人,硕士研究生,主要从事海岸带遥感应用研究。E?mail:15650175785@163.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
王奎博
张丽
王瑞琪
陈博伟
李习文

引用本文:

王奎博,张丽,王瑞琪,陈博伟,李习文. 海南岛海岸侵蚀脆弱性评价[J]. 遥感技术与应用, 2022, 37(5): 1149-1158.

Kuibo Wang,Li Zhang,Ruiqi Wang,Bowei Chen,Xiwen Li. Evaluation of Coastal Erosion Vulnerability in Hainan Island. Remote Sensing Technology and Application, 2022, 37(5): 1149-1158.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2022.5.1149        http://www.rsta.ac.cn/CN/Y2022/V37/I5/1149

图1  研究区及岸线类型分布[10]审图号:琼S(2022)188
输入数据数据来源
DEMhttps:∥cmr.earthdata.nasa.gov
水深GEBCO格网化测深数据 https:∥download.gebco.net/
波浪能第三代海浪数值预报模式(WaveWatch III)
最大潮差
最大风速
有效波高
地貌Landsat 8 /Sentinel-2人工解译海岸线[12]
大陆架InVEST模型数据集
红树林支持向量机[14]
珊瑚礁https:∥data.unep-wcmc.org
海草
沿海森林随机森林
表1  InVEST 沿海脆弱性模型数据
指标计算方法与分类标准
波浪暴露WaveWatch III数据集 Ewl=k=116HFkPklOkl?HFk是一个针对所有 16 个风等角区域k 的单位阶跃函数,Pklk 区域产生的前 10% 的平均风速值,Okl为区域强风发生率。结果由低至高0—20%(1分),21%—40%(2分),41%—60%(3分),61%—80%(4分),81%—100%(5分)
风暴露WaveWatch III数据集 REI=n=116UnPnFn, UnPn,Fn分别代表第n个等角区域的前10%最高风速平均值、吹过风速百分比、风区距离。结果由低至高0—20%(1分),21%—40%(2分),41%—60%(3分),61%—80%(4分),81%—100%(5分)
自然生境RHab=4.8-0.51.5maxk=1,N?5-Rk2+k=1N5-Rk2-maxk=1,N?5-Rk2 式中,RHab是自然生境脆弱性,Rk代表排名数组第k列;按自然生境划级:珊瑚礁、红树林、沿海森林(1分),高沙丘、沼泽(2分),低沙丘(3分),海草、海藻(4分),无生境(5分)。研究区主要生境包括:珊瑚礁、红树林、沿海森林、海草和无生境
地形由DEM计算;高程区间由低至高81%—100%(1分),61%—80%(2分),41%—60%(3分),21%—40%(4分),0—20%(5分)
地貌Sentinel2 L2A解译;人工岸线、生物质岸线(1分),基岩岸线(2分),河口岸线(3分),淤泥质岸线(4分),砂质岸线(5分)
表2  InVEST 沿海脆弱性模型指标计算方法与分类标准
目标层次指标数据来源相关性
海岸侵蚀脆弱性(A)海岸特征(B1)侵蚀速率(C1)DSAS EPR+
海岸高程(C2)NASA JPL STRM DEM(https:∥cmr.earthdata.nasa.gov)-
海岸坡度(C3)-
岸线类型(C4)Sentinel 2 L2A 人工解译+
海岸生境(C5)红树林、珊瑚礁、沿海森林-
海岸动力(B2)平均波高(C6)Jason-3 Ku波段 (http:∥rads.tudelft.nl)+
风暴增水(C7)10月降水(https:∥zenodo.org)+
社会经济(B3)人口密度(C8)海口市2020年统计年鉴+
建成区比例(C9)随机森林+
距道路距离(C10)Openstreetmap(https:∥wiki.openstreetmap.org)采集,由ArcGIS计算欧氏距离-
距建成区距离(C11)随机森林-
表3  海岸侵蚀脆弱性模型数据指标及来源
指标熵权/%AHP权/%组合权/%
C10.207.431.71
C20.313.731.53
C30.213.731.25
C410.931.375.50
C50.983.732.71
C66.5225.0018.10
C73.4425.0013.16
C816.133.5110.68
C941.134.9920.32
C1010.2612.3715.98
C119.914.129.07
表4  各指标权重
图2  海南岛沿海脆弱性(EI)评估(a、b、c分别是东寨港、清澜港、儋州湾地区) 审图号:琼S(2022)188
图3  海南岛沿海脆弱性模拟 审图号:琼S(2022)188
图4  海南岛沿海市县不同情境下暴露度指数
图5  海口市海岸侵蚀速率审图号:琼S(2022)188
图6  海口市沿海侵蚀脆弱性审图号:琼S(2022)188
图7  海口市沿海乡镇侵蚀脆弱性指数
图8  海口市沿海侵蚀脆弱性(各层次)
1 Luo Yongming.Sustainability associated coastal eco-environmental problems and coastal science development in China[J]. Bulletin of Chinese Academy of Sciences.2016,31(10):1133-1142.骆永明.中国海岸带可持续发展中的生态环境问题与海岸科学发展[J].中国科学院院刊,2016,31(10):1133-1142.
2 Cheng Xi, Zuo Bingjing, Liu Xingshao, et al. Research review of the evaluation methods of ecosystem vulnerability of coastal zones[J]. Journal of Henan Institute of Science and Technology(Natural Science Edition), 2020,48(1):25-34.
2 程夕,左冰菁,刘兴诏,等.海岸带生态系统脆弱性评价研究综述[J].河南科技学院学报(自然科学版),2020,48(1):25-34.
3 Cui Lifang, Wang Ning, Ge Zhenming, et al. Vulnerability assessment on the coastal wetlands in the Yangtze estuary under sea-level rise[j]. Chinese Journal of Applied Ecology,2014,25(2):553-561.崔利芳,王宁,葛振鸣,等.海平面上升影响下长江口滨海湿地脆弱性评价[J].应用生态学报,2014,25(2):553-561.
4 Tan Lirong. Assessment on comprehensive vulnerability of storm surge disasters of China’s coastal regions[D]. Shanghai:East China Normal University. 2012.
4 谭丽荣. 中国沿海地区风暴潮灾害综合脆弱性评估[D].上海:华东师范大学,2012.
5 Zhu Zhengtao. Study on assessment modeling of coastal vulnerability to Erosion and its Application[D]. Shanghai:East China Normal University. 2019.
5 朱正涛. 海岸侵蚀脆弱性评估模型构建及其应用研究[D].上海:华东师范大学,2019.
6 State Oceanic Administration “908” Special Office. Technical regulations for comprehensive survey and evaluation of China's offshore seas and oceans, Volume 12: Technical regulations for marine disaster survey [S]. Beijing: Ocean Press, 2006.
6 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第12分册:海洋灾害调查技术规程 [S]. 北京: 海洋出版社, 2006.
7 Jiang Lu, Yu Jing. A CiteSpace-based bibliometric analysis of remote sensing research in China's coastal zone[C]∥Proceedings of 2020 CSES Annual Conference on Environmental Science and Technology (Part Ⅲ),2020:538-543.DOI:10.26914/c.cnkihy.2020.040278.
doi: 10.26914/c.cnkihy.2020.040278
7 姜璐,余静. 基于CiteSpace的我国海岸带遥感研究文献计量分析[C]∥2020中国环境科学学会科学技术年会论文集(第三卷).2020:538-543.DOI:10.26914/c.cnkihy.2020.040278 .
doi: 10.26914/c.cnkihy.2020.040278
8 Yang Kehong, Zhao Jianru, Jin Lu, et al. Analysis of the main geological hazards types in coastal zone of Hainan island[J]. Marine Geology Frontiers,2010,26(6):1-6.
8 杨克红,赵建如,金路,等.海南岛海岸带主要地质灾害类型分析[J].海洋地质动态,2010,26(6):1-6.
9 Ministry of Natural Resources of the People's Republic of China. Bulletin of China Marine Disaster [R]. 2021.
9 中华人民共和国自然资源部. 2020年中国海洋灾害公报[R]. 2021.
10 Zhang Li, Liao Jingjuan, Yuan Xin, et al. Remote sensing analysis of coastline changes in Hhainan island during 1987-2017[J]. Tropical Geography,2020,40(4):659-674.
10 张丽,廖静娟,袁鑫,等.1987—2017年海南岛海岸线变化特征遥感分析[J].热带地理,2020,40(4):659-674.
11 Yin Liting, Zheng Wei, Gao Meng, et al. Coastal vulnerability of Miaodao archipelago based on InVEST model[J]. Marine Environmental Science,2021,40(2):221-227.
11 殷丽婷,郑伟,高猛,等.基于InVEST模型的庙岛群岛海岸脆弱性研究[J].海洋环境科学,2021,40(2):221-227.
12 Zhen Jianing, Liao Jingjuan, Shen Guozhuang. Remote sensing monitoring and analysis on the dynamics of mangrove forest in Qinglan habor of Hainan province since 1987[J]. Wetland Science,2019,17(1):44-51.
12 甄佳宁,廖静娟,沈国状.1987以来海南省清澜港红树林变化的遥感监测与分析[J].湿地科学,2019,17(1):44-51.
13 Liu Baiqiao, Meng Qingwei, Zhao Jianhua, et al. Variation of coastline resources utilization in China from 1990 to 2013[J]. Journal of Natural Resources,2015,30(12):2033-2044.
13 刘百桥,孟伟庆,赵建华,等.中国大陆1990—2013年海岸线资源开发利用特征变化[J].自然资源学报,2015,30(12):2033-2044.
14 Del Valle A, Eriksson M, Ishizawa O A, et al. Mangroves protect coastal economic activity from hurricanes[J]. Proceedings of the National Academy of Sciences, 2020, 117(1): 265-270.
15 Li Yinlong. Research of marine gravity anomalies inversion based on multi-satellite altimeter data[D]. Qingdao:China University of Petroleum,2018.
15 李银龙. 基于多源卫星测高数据的海洋重力异常反演研究[D].青岛:中国石油大学(华东),2018.
16 Han Shuzong, Zhao Xixi, Zhu Dayong, et al. A study of distribution and variation rules of SWH in the Atlantic ocean by using the satellite altimetry data[J]. Transactions of Oceanology and Limnology,2003(4): 22-29.
16 韩树宗,赵喜喜,朱大勇,等.大西洋波高分布及变化规律研究[J].海洋湖沼通报,2003(4):22-29.
17 Wu Kaiya, Jin Juliang. Attribute recognition method of regional ecological security evaluation based on combined weight on principle of relative entropy[J]. Scientia Geographica Sinica,2008,28(6):754-758.
17 吴开亚,金菊良.区域生态安全评价的熵组合权重属性识别模型[J].地理科学,2008,28(6):754-758.
18 Hainan Provincial Bureau of Statistics. Statistical Yearbook 2020 (downloadable version)[M]. Beijing: China Statistics Press, 2020.
18 http:∥stats.hainan.gov.cn/tjj/tjsu/.海南省统计局. 2020年统计年鉴(下载版)[M]北京: 中国统计出版社,2020. .
19 Zhong Yu, Shi Xisheng, Luo Huixian. Wetlands wet city green - Haikou to promote the construction of ecological civilization as a grasp of wetland protection documentary [J]. Hainan Today,2018(11):19-21.
19 钟瑜,实习生,罗慧娴.湿地润城绿意浓——海口以生态文明建设为抓手推进湿地保护纪实[J].今日海南,2018(11):19-21.
[1] 康文慧,宋晓谕,李洁,邓晓红,王宏伟,孙栋元. 基于GIS技术的流域生态补偿方案设计[J]. 遥感技术与应用, 2018, 33(4): 766-774.
[2] 赵梦雨,薛亮. 咸阳市生境质量变化遥感监测研究[J]. 遥感技术与应用, 2017, 32(6): 1171-1180.