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中国沿海和近海海平面上升预测

王慧 全梦媛 徐卫青 相文玺 李文善 江羽西

王慧,全梦媛,徐卫青,等. 中国沿海和近海海平面上升预测[J]. 海洋学报,2023,45(8):1–10 doi: 10.12284/hyxb2023096
引用本文: 王慧,全梦媛,徐卫青,等. 中国沿海和近海海平面上升预测[J]. 海洋学报,2023,45(8):1–10 doi: 10.12284/hyxb2023096
Wang Hui,Quan Mengyuan,Xu Weiqing, et al. Sea level rise projection in China’s coastal and offshore areas[J]. Haiyang Xuebao,2023, 45(8):1–10 doi: 10.12284/hyxb2023096
Citation: Wang Hui,Quan Mengyuan,Xu Weiqing, et al. Sea level rise projection in China’s coastal and offshore areas[J]. Haiyang Xuebao,2023, 45(8):1–10 doi: 10.12284/hyxb2023096

中国沿海和近海海平面上升预测

doi: 10.12284/hyxb2023096
基金项目: 国家重点研发计划课题
详细信息
    作者简介:

    王慧(1972-),女,山东省临沂市人,研究员,研究方向为潮汐、海平面与气候变化。E-mail: wh_cherry@126.com

    通讯作者:

    相文玺,研究员,研究方向为海洋管理、海洋信息技术等。E-mail: xwx@nmdis.org.cn

  • 中图分类号: P714+.1

Sea level rise projection in China’s coastal and offshore areas

  • 摘要: 本文利用验潮站观测和卫星高度计数据,以及基于筛选的CMIP6的10个模拟性能较好的地球系统模式结果,对中国海平面的长期变化趋势,以及未来上升幅度进行了分析和预测。结果显示:(1)1960−2021年,中国沿海海平面呈加速上升趋势,上升速率为2.5 mm/a,加速度为0.06 mm/a2;1993−2021年上升速率为4.0 mm/a,高于全球同期3.3 mm/a的上升值。(2)1980−2021年,渤、黄海,东海和南海沿海海平面上升速率分别为3.5 mm/a、3.3 mm/a和3.6 mm/a,渤、黄海和南海沿海海平面上升速率较快,东海偏慢;渤、黄海沿海海平面在20世纪60−70年代上升较慢,80年代之后上升加快。(3)在中等情景(SSP2-4.5)和高情景(SSP5-8.5)下,2050年中国近海海平面将上升0.22 m(0.19~0.28 m)和0.24 m(0.21~0.33 m);到2100年,中国近海海平面将上升0.59 m(0.47~0.80 m)和0.83 m(0.64~1.09 m)。(4)2021−2040年,统计预测的海平面上升中值略接近数值模式低、中和高情景预测值。2041−2060年,数值模式低、中和高情景预测值均介于统计预测的中值和高值之间。2081−2100年,统计预测的海平面上升高值与数值模式中情景预测值接近,绝对偏差为0.017 m,相对偏差为3.4%。(5)高情景下,2100年现有100年一遇的极端高海面将变为不足10年一遇,其中超过50%的站点将变为不足两年一遇,沿海防护工程等基础设施的防御能力降低,复合型滨海城市洪涝等灾害事件的风险增加。
  • 图  1  1993−2021年全球(80°S~80°N)卫星高度计海平面上升趋势空间分布

    图中黑色框形为本研究选取的中国近海区域

    Fig.  1  Spatial distribution of global (80°S−80°N) satellite altimeter sea level rise trend from 1993 to 2021

    Black box is the China offshore region

    图  2  1960−2021年中国沿海和近海海平面长期变化

    Fig.  2  Long term changes of China’s coastal and offshore areas sea level during 1960−2021

    图  3  渤、黄海,东海和南海沿海不同时期海平面长期变化趋势

    Fig.  3  Long term change trend of sea level in the Bohai Sea and Yellow Sea, East China Sea and South China Sea in different periods

    图  4  1993−2021年,EC-Earth3模式在涠洲(a)和大万山(b)海域历史海平面模拟结果与观测数据对比

    Fig.  4  Comparison of historical sea level simulation results of EC-Earth3 model and observation datain Weizhou (a) and Dawanshan (b) sea areas from 1993 to 2021

    图  5  中国近海及各海区海平面上升预测(相对于1995−2014年)

    Fig.  5  Prediction of sea level rise in China’s offshore and various sea areas (relative to 1995−2014)

    图  6  2020−2100年统计预测和集合预测结果比较

    Fig.  6  Comparison of statistical prediction and numerical prediction results from 2020 to 2100

    表  1  可应用于中国近海集合预测的CMIP6 模型

    Tab.  1  CMIP6 model that can be applied to China offshore collective forecasting

    序号模式机构国家/组织相关系数
    1EC-Earth3EC-EARTH-Cons欧盟0.77
    2EC-Earth3-Veg-LR EC-EARTH-Cons 欧盟0.67
    3CNRM-CM6CNRM法国0.70
    4CNRM-ESM2 CNRM 法国0.69
    5ACCESS-CM2CSIRO-BOM澳大利亚0.67
    6CanESM5CCCMA加拿大0.67
    7IPSL-CM6A-LRIPSL法国0.63
    8MPI-ESM1-2-HRMPI-M德国0.62
    9CMCC-CM2-SR5CMCC意大利0.66
    10CMCC-ESM2 CMCC意大利0.62
    11NorESM2-MMNCC挪威0.55
    12ACCESS-ESM1-5CSIRO-BOM澳大利亚0.56
    13MIROC6MIROC日本0.53
    14MPI-ESM1-2-LRMPI-M德国0.39
    15NorESM2-LMNCC挪威0.38
    下载: 导出CSV

    表  2  中国和各海区海平面上升预测值(单位:m)

    Tab.  2  Projection value of sea level rise in the China sea and other sea areas (unit: m)

    时间2050年 2100年
    情景SSP1-2.6SSP2-4.5SSP5-8.5SSP1-2.6SSP2-4.5SSP5-8.5
    渤、黄海0.160.170.20 0.300.470.67
    0.200.210.240.460.560.82
    0.260.270.330.630.761.08
    东海0.180.190.210.320.490.69
    0.230.220.250.490.610.86
    0.290.280.320.670.811.13
    南海0.150.180.200.320.480.64
    0.200.210.240.480.590.81
    0.220.270.320.650.801.07
    中国近海0.160.190.210.310.470.64
    0.210.220.240.470.590.83
    0.260.280.330.640.801.09
    注:相对于1995−2014年平均海平面。
    下载: 导出CSV

    表  3  3种SSPs情景下2100年中国近海海平面预测(相对于1995−2014年,单位:m)

    Tab.  3  Predictions of China’s offshore sea level in 2100 under three SSP scenarios (relative to 1995−2014, unit: m)

    SSP1-2.6SSP2-4.5SSP5-8.5
    比容加动力(贡献)0.18(38%)0.23(39%)0.33(40%)
    质量贡献(贡献)0.29(62%)0.36(61%)0.50(60%)
    总计0.470.590.83
    下载: 导出CSV

    表  4  中国沿海各省(自治区、直辖市)未来海平面变化预测(单位:m)

    Tab.  4  Predictions of future sea level change in China’s coastal provinces (autonomous regions and municipalities) (unit: m)

    行政区2030年2050年2060年2100年
    辽宁0.110.170.180.30
    河北0.120.170.190.32
    天津0.180.260.270.47
    山东0.110.180.220.37
    江苏0.100.170.200.37
    上海0.110.180.220.37
    浙江0.110.180.210.37
    福建0.080.120.150.27
    广东0.100.160.190.32
    广西0.060.100.120.22
    海南0.120.200.210.38
    全海域(低)0.060.100.120.22
    全海域(中)0.100.170.200.34
    全海域(高)0.180.290.340.55
    注:相对于1995−2014年平均海平面。
    下载: 导出CSV

    表  5  不同情景和重现期水平下的极端高海面(单位:m)

    Tab.  5  Extreme high sea level under different scenarios and return periods (unit: m)

    序号验潮站现代情景SSP2-4.5SSP5-8.5
    100年一遇20年一遇10年一遇100年一遇20年一遇10年一遇100年一遇10年一遇2年一遇
    1葫芦岛2.812.662.603.383.233.173.653.443.27
    2秦皇岛1.721.521.432.292.092.002.562.272.04
    3龙口2.372.031.882.942.602.453.212.722.33
    4烟台2.462.182.063.032.752.633.302.902.58
    5日照3.132.922.823.703.493.393.973.663.41
    6吕四4.854.374.155.464.984.765.735.034.47
    7大戢山3.493.223.114.103.833.724.373.993.68
    8镇海3.402.932.734.013.543.344.283.613.08
    9坎门5.094.504.245.705.114.855.975.124.45
    10三沙4.364.003.854.974.614.465.244.734.32
    11厦门4.163.883.754.774.494.365.044.634.30
    12汕尾2.231.931.802.822.522.393.042.612.26
    13闸坡2.882.552.413.473.143.003.693.222.85
    14海口2.692.201.993.282.792.583.502.802.24
    15北海3.413.173.064.003.763.654.223.873.60
    下载: 导出CSV
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  • 收稿日期:  2022-11-28
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