Volume 42 Issue 7
Jul.  2023
Turn off MathJax
Article Contents
Xiaohe Lai, Chuqing Zeng, Yan Su, Shaoxiang Huang, Jianping Jia, Cheng Chen, Jun Jiang. Vulnerability assessment of coastal wetlands in Minjiang River Estuary based on cloud model under sea level rise[J]. Acta Oceanologica Sinica, 2023, 42(7): 160-174. doi: 10.1007/s13131-023-2169-7
Citation: Xiaohe Lai, Chuqing Zeng, Yan Su, Shaoxiang Huang, Jianping Jia, Cheng Chen, Jun Jiang. Vulnerability assessment of coastal wetlands in Minjiang River Estuary based on cloud model under sea level rise[J]. Acta Oceanologica Sinica, 2023, 42(7): 160-174. doi: 10.1007/s13131-023-2169-7

Vulnerability assessment of coastal wetlands in Minjiang River Estuary based on cloud model under sea level rise

doi: 10.1007/s13131-023-2169-7
Funds:  The National Natural Science Foundation of China under contract No. U22A20585; the Education Research Project of Fujian Education Department under contract No. JAT200019.
More Information
  • Corresponding author: E-mail: suyan@fzu.edu.cn
  • Received Date: 2022-10-28
  • Accepted Date: 2023-01-10
  • Available Online: 2023-07-21
  • Publish Date: 2023-07-25
  • The change of coastal wetland vulnerability affects the ecological environment and the economic development of the estuary area. In the past, most of the assessment studies on the vulnerability of coastal ecosystems stayed in static qualitative research, lacking predictability, and the qualitative and quantitative relationship was not objective enough. In this study, the “Source-Pathway-Receptor-Consequence” model and the Intergovernmental Panel on Climate Change vulnerability definition were used to analyze the main impact of sea level rise caused by climate change on coastal wetland ecosystem in Minjiang River Estuary. The results show that: (1) With the increase of time and carbon emission, the area of high vulnerability and the higher vulnerability increased continuously, and the area of low vulnerability and the lower vulnerability decreased. (2) The eastern and northeastern part of the Culu Island in the Minjiang River Estuary of Fujian Province and the eastern coastal wetland of Meihua Town in Changle District are areas with high vulnerability risk. The area of high vulnerability area of coastal wetland under high emission scenario is wider than that under low emission scenario. (3) Under different sea level rise scenarios, elevation has the greatest impact on the vulnerability of coastal wetlands, and slope has less impact. The impact of sea level rise caused by climate change on the coastal wetland ecosystem in the Minjiang River Estuary is mainly manifested in the sea level rise, which changes the habitat elevation and daily flooding time of coastal wetlands, and then affects the survival and distribution of coastal wetland ecosystems.
  • loading
  • Bryan B, Harvey N, Belperio T, et al. 2001. Distributed process modeling for regional assessment of coastal vulnerability to sea-level rise. Environmental Modeling & Assessment, 6(1): 57–65
    Chen Bin, Yu Weiwei, Chen Guangcheng, et al. 2019. Coastal wetland restoration: an overview. Journal of Applied Oceanography (in Chinese), 38(4): 464–473
    Chu Jinlong, Gao Shu, Xu Jian’gang. 2005. Risk and safety evaluation methodologies for coastal systems: a review. Marine Science Bulletin (in Chinese), 24(3): 80–87
    Cui Lifang. 2016. Vulnerability assessment of the coastal wetlands in the Yangtze Estuary, China to sea-level rise (in Chinese) [dissertation]. Shanghai: East China Normal University
    Feng Hongyu. 2020. The study on the surface elevation change with the Spartina alterniflora invasion in coastal wetlands of China (in Chinese) [dissertation]. Xiamen: Xiamen University
    Gao Yuqin, Lai Lijuan, Yao Min, et al. 2018. Water environment quality assessment based on normal cloud-fuzzy variable coupling model. Journal of Water Resources and Water Engineering (in Chinese), 29(5): 1–7
    Gornitz V. 1991. Global coastal hazards from future sea level rise. Global and Planetary Change, 3(4): 379–398. doi: 10.1016/0921-8181(91)90118-G
    He Tao, Sun Zhigao, Li Jiabing, et al. 2018. Variations in total sulfur content in plant-soil systems of Phragmites australis and Cyperus malaccensis in the process of their spatial expansion in the Min River Estuary. Acta Ecologica Sinica (in Chinese), 38(5): 1607–1618
    Hou Liping. 2016. Application of multi-objective fuzzy hierarchy algorithm in optimization of anti-seepage scheme for reservoir dam foundation. Technical Supervision in Water Resources (in Chinese), 24(6): 42–44, 59
    Huo Shiping, Zhong Tiejun, Li Xia, et al. 2022. Research on risk assessment study of engineering blasting project based on IAHP and cloud model. Project Management Technology (in Chinese), 20(9): 67–72
    Intergovernmental Panel on Climate Change. 2001. Climate Change 2001: Impacts, Adaptation, and Vulnerability. Cambridge: Cambridge University Press
    Li Shasha, Meng Xianwei, Ge Zhenming, et al. 2014. Vulnerability assessment on the mangrove ecosystems in Qinzhou Bay under sea level rise. Acta Ecologica Sinica (in Chinese), 34(10): 2702–2711
    Li Ruiqian, Xu Chenglei, Li Yongfu, et al. 2022. Progress of international research on coastal resilience and implications for China. Resources Science (in Chinese), 44(2): 232–246
    Liu Baigui. 2008. Litter decomposition of Phragmites australis, Cyperus malaccensis and Spartina alterniflora in the Wetland of Minjiang River Estuary (in Chinese) [dissertation]. Fuzhou: Fujian Normal University
    Mi Huishan. 2019. Distribution characteristics of SiO2 and the potential of phytolith sequestration carbon in typical plant communities and ecotones in the Min River Estuary (in Chinese) [dissertation]. Fuzhou: Fujian Normal University
    Narayan S, Hanson S, Nicholls R J, et al. 2012. A holistic model for coastal flooding using system diagrams and the Source-Pathway-Receptor (SPR) concept. Natural Hazards and Earth System Sciences, 12(5): 1431–1439. doi: 10.5194/nhess-12-1431-2012
    Osland M J, Chivoiu B, Enwright N M, et al. 2022. Migration and transformation of coastal wetlands in response to rising seas. Science Advances, 8(26): eabo5174. doi: 10.1126/sciadv.abo5174
    Qi Yue, Fu Yuanbin, Wang Na, et al. 2020. Ecological vulnerability assessment of wetland in Liao Estuary based on objective framework method. Marine Science Bulletin (in Chinese), 39(2): 257–265
    Shen Jing. 2018. Research on comprehensive ecological vulnerability assessment and development countermeasures (in Chinese) [dissertation]. Beijing: North China Electric Power University
    Shi Jing, Shi Peiji, Wang Ziyang, et al. 2022. Effects of human disturbances on dynamic evolution of ecological vulnerability: a case study over Lanzhou-Xining urban agglomeration. China Environmental Science (in Chinese), 1–13. https://kns.cnki.net/kcms/detail/11.2201.x.20221117.1131.004.html
    Tian Wenkai. 2018. Application of normal cloud model in flood risk assessment of flood disaster. Water Resources Planning and Design (in Chinese), (3): 33–35, 132, 135
    Wang Ning, Zhang Liquan, Yuan Lin, et al. 2012. Research into vulnerability assessment for coastal zones in the context of climate change. Acta Ecologica Sinica (in Chinese), 32(7): 2248–2258. doi: 10.5846/stxb201109291437
    Wang Guodong, Zhao Yantong, Zhao Meiling, et al. 2021. A research paradigm for assessing the vulnerability of coastal wetlands to sea level rise. Wetland Science (in Chinese), 19(1): 59–63
    Wu Qinglin. 2014. Research on bid evaluation method of water conservancy project under fuzzy decision theory. Water Resources Planning and Design (in Chinese), (6): 41–43, 54
    Wu Guanghe, Wang Naiang, Hu Shuangxi, et al. 2008. Physical Geography (in Chinese). 4th ed. Beijing: Higher Education Press, 18–23
    Xu Yijian. 2020. Development strategy of China’s coastal cities for addressing climate change. Climate Change Research (in Chinese), 16(1): 88–98
    Zhang Tong, Yu Yongqiang, Xiao Cunde, et al. 2022. Interpretation of IPCC AR6 report: monitoring and projections of global and regional sea level change. Climate Change Research (in Chinese), 18(1): 12–18
    Zhou Botao, Qian Jin. 2021. Changes of weather and climate extremes in the IPCC AR6. Climate Change Research (in Chinese), 17(6): 713–718
    Zhou Qigang, Zhang Xiaoyuan, Wang Zhaolin. 2014. Land use ecological risk evaluation in Three Gorges Reservoir Area based on normal cloud model. Transactions of the Chinese Society of Agricultural Engineering (in Chinese), 30(23): 289–297
    Zhu Zhengtao, Cai Feng, Cao Chao, et al. 2019. Assessment of island coastal vulnerability based on cloud model: a case study of Xiamen Island. Marine Science Bulletin (in Chinese), 38(4): 462–469
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(4)

    Article Metrics

    Article views (318) PDF downloads(13) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return