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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

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

doi: 10.12284/hyxb2023096
  • Received Date: 2022-11-28
  • Rev Recd Date: 2023-03-30
  • Available Online: 2023-08-31
  • Publish Date: 2023-08-31
  • Using tide gauge observation, satellite altimeter data, and the result of 10 CMIP6 Earth System Models with good simulation performance, the long-term trend of sea level change in China, and predicts the range of sea level rise in the future are analyzed in this study. The results show that: (1) from 1960 to 2021, the sea level in China’s coastal areas showed an accelerated rising trend, with a rise rate of 2.5 mm/a and an acceleration of 0.06 mm/a2. From 1993 to 2021, the rise rate was 4.0 mm/a, higher than the global rate of 3.3 mm/a in the same period. (2) From 1980 to 2021, the sea level rise rates of the Bohai Sea and the Yellow Sea, the East China Sea and the South China Sea were 3.5 mm/a, 3.3 mm/a and 3.6 mm/a, respectively. The sea level rise rates of the Bohai Sea and the Yellow Sea, the South China Sea were relatively fast, while the sea level rise rates of East China Sea was slow. The coastal sea level rose slowly from 1960s to 1970s, and accelerated after 1980s in the Bohai Sea and the Yellow Sea. (3) Under the medium (SSP2-4.5) and high (SSP5-8.5) scenarios, China’s offshore sea level will rise by 0.22 m (0.19−0.28 m) and 0.24 m (0.21−0.33 m) respectively in 2050, and will rise by 0.59 m (0.47−0.80 m) and 0.83 m (0.64−1.09 m) respectively in 2100. (4) During 2021−2040, the median value of sea level rise predicted by statistics is close to the predicted value under the low, medium and high scenarios of the numerical model. During 2041−2060, the predicted values of the low, medium and high scenarios of the numerical model are between the middle and high values of the statistical prediction. During 2081−2100, the high value of sea level rise predicted by statistics is close to that predicted by the medium scenario of the numerical model, the absolute deviation is 0.017 m, and the relative deviation is 3.4%. (5) Under the high scenario, the existing once-in-a-century extreme high sea level in 2100 will become less than 10 year return period, in which more than 50% of the stations will become less than 2 year return period, the defense capacity of coastal protection works and other infrastructure will be reduced, and the risk of flood and other disaster events in complex coastal cities will increase.
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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 12.6 %其他: 12.6 %其他: 1.7 %其他: 1.7 %Auckland: 0.0 %Auckland: 0.0 %Bandar: 0.0 %Bandar: 0.0 %Central District: 0.6 %Central District: 0.6 %China: 0.3 %China: 0.3 %Dallas: 0.0 %Dallas: 0.0 %Hanoi: 0.1 %Hanoi: 0.1 %Lee's Summit: 0.0 %Lee's Summit: 0.0 %Lewisburg: 0.0 %Lewisburg: 0.0 %Norman: 0.0 %Norman: 0.0 %Osaka: 0.1 %Osaka: 0.1 %Rochester: 0.0 %Rochester: 0.0 %San Lorenzo: 0.0 %San Lorenzo: 0.0 %Seongnam-si: 0.0 %Seongnam-si: 0.0 %Tower Hamlets: 0.0 %Tower Hamlets: 0.0 %Tuen Mun San Hui: 0.1 %Tuen Mun San Hui: 0.1 %Umbauba: 0.0 %Umbauba: 0.0 %丁克尔舍尔本: 0.1 %丁克尔舍尔本: 0.1 %万鸦老: 0.0 %万鸦老: 0.0 %上海: 5.2 %上海: 5.2 %东京: 0.4 %东京: 0.4 %东莞: 0.0 %东莞: 0.0 %中卫: 0.1 %中卫: 0.1 %临汾: 0.0 %临汾: 0.0 %临沂: 0.2 %临沂: 0.2 %九江: 0.1 %九江: 0.1 %亨德森: 0.0 %亨德森: 0.0 %佛山: 0.2 %佛山: 0.2 %元朗新墟: 0.1 %元朗新墟: 0.1 %克拉玛依: 0.3 %克拉玛依: 0.3 %六安: 0.1 %六安: 0.1 %兰州: 0.2 %兰州: 0.2 %加利福尼亚: 0.0 %加利福尼亚: 0.0 %北京: 6.0 %北京: 6.0 %北卡罗来纳州: 0.0 %北卡罗来纳州: 0.0 %匹兹堡: 0.1 %匹兹堡: 0.1 %十堰: 0.0 %十堰: 0.0 %华盛顿: 0.0 %华盛顿: 0.0 %南京: 1.6 %南京: 1.6 %南宁: 0.3 %南宁: 0.3 %南昌: 0.8 %南昌: 0.8 %南通: 0.4 %南通: 0.4 %南里奥格兰德州: 0.0 %南里奥格兰德州: 0.0 %博洛尼亚: 0.0 %博洛尼亚: 0.0 %卡拉奇: 0.1 %卡拉奇: 0.1 %印多尔: 0.0 %印多尔: 0.0 %厦门: 0.7 %厦门: 0.7 %台州: 0.4 %台州: 0.4 %吉安: 0.1 %吉安: 0.1 %吉林: 0.0 %吉林: 0.0 %吉隆坡: 0.7 %吉隆坡: 0.7 %咸宁: 0.0 %咸宁: 0.0 %哥伦布: 0.0 %哥伦布: 0.0 %嘉兴: 0.1 %嘉兴: 0.1 %埃德蒙顿: 0.1 %埃德蒙顿: 0.1 %基督城: 0.1 %基督城: 0.1 %墨尔本: 0.1 %墨尔本: 0.1 %多伦多: 0.2 %多伦多: 0.2 %大同: 0.0 %大同: 0.0 %大连: 0.5 %大连: 0.5 %天津: 1.7 %天津: 1.7 %太原: 0.0 %太原: 0.0 %威海: 0.0 %威海: 0.0 %宁波: 0.1 %宁波: 0.1 %安康: 0.1 %安康: 0.1 %安曼: 0.0 %安曼: 0.0 %宣城: 0.3 %宣城: 0.3 %宿州: 0.0 %宿州: 0.0 %密蘇里城: 0.2 %密蘇里城: 0.2 %巴格达: 0.0 %巴格达: 0.0 %巴黎: 0.1 %巴黎: 0.1 %常州: 0.2 %常州: 0.2 %平顶山: 0.1 %平顶山: 0.1 %广州: 3.1 %广州: 3.1 %廊坊: 0.0 %廊坊: 0.0 %张家口: 1.5 %张家口: 1.5 %德宏: 0.0 %德宏: 0.0 %德罕: 0.0 %德罕: 0.0 %德阳: 0.1 %德阳: 0.1 %恩施: 0.1 %恩施: 0.1 %悉尼: 0.0 %悉尼: 0.0 %成都: 0.2 %成都: 0.2 %扬州: 0.8 %扬州: 0.8 %文图拉: 0.0 %文图拉: 0.0 %新加坡: 0.1 %新加坡: 0.1 %新界: 0.1 %新界: 0.1 %无锡: 0.1 %无锡: 0.1 %昆明: 0.6 %昆明: 0.6 %晋城: 0.0 %晋城: 0.0 %朝阳: 0.1 %朝阳: 0.1 %本那比: 0.1 %本那比: 0.1 %杭州: 1.6 %杭州: 1.6 %栃木: 0.0 %栃木: 0.0 %格兰特县: 0.1 %格兰特县: 0.1 %桂林: 0.1 %桂林: 0.1 %梅努斯: 0.1 %梅努斯: 0.1 %森尼韦尔: 0.1 %森尼韦尔: 0.1 %武汉: 0.6 %武汉: 0.6 %氹仔: 0.1 %氹仔: 0.1 %汕头: 0.1 %汕头: 0.1 %池州: 0.0 %池州: 0.0 %沈阳: 0.3 %沈阳: 0.3 %沧州: 0.0 %沧州: 0.0 %法兰克福: 0.1 %法兰克福: 0.1 %波士顿: 0.0 %波士顿: 0.0 %泰勒: 0.0 %泰勒: 0.0 %泰安: 0.1 %泰安: 0.1 %洛杉矶: 0.0 %洛杉矶: 0.0 %洛阳: 0.1 %洛阳: 0.1 %济南: 0.1 %济南: 0.1 %海口: 0.3 %海口: 0.3 %淄博: 0.1 %淄博: 0.1 %深圳: 1.0 %深圳: 1.0 %温州: 0.7 %温州: 0.7 %湖州: 0.3 %湖州: 0.3 %湘西: 0.1 %湘西: 0.1 %湛江: 0.3 %湛江: 0.3 %漯河: 0.5 %漯河: 0.5 %潍坊: 0.1 %潍坊: 0.1 %澳门: 0.2 %澳门: 0.2 %澳门特别行政区: 0.0 %澳门特别行政区: 0.0 %烟台: 0.4 %烟台: 0.4 %焦作: 0.0 %焦作: 0.0 %珠海: 0.4 %珠海: 0.4 %瓦利尼乌斯: 0.0 %瓦利尼乌斯: 0.0 %白沙: 0.0 %白沙: 0.0 %盐城: 0.2 %盐城: 0.2 %石家庄: 0.3 %石家庄: 0.3 %福州: 0.4 %福州: 0.4 %秦皇岛: 0.0 %秦皇岛: 0.0 %素里: 0.0 %素里: 0.0 %纽约: 0.2 %纽约: 0.2 %绍兴: 0.0 %绍兴: 0.0 %罗奥尔凯埃: 0.0 %罗奥尔凯埃: 0.0 %舟山: 0.3 %舟山: 0.3 %芒廷维尤: 33.7 %芒廷维尤: 33.7 %芝加哥: 0.5 %芝加哥: 0.5 %苏州: 0.7 %苏州: 0.7 %茂名: 0.0 %茂名: 0.0 %莆田: 0.2 %莆田: 0.2 %莫斯科: 0.1 %莫斯科: 0.1 %莱比锡: 0.1 %莱比锡: 0.1 %菏泽: 0.0 %菏泽: 0.0 %萨默维尔: 0.2 %萨默维尔: 0.2 %衡水: 0.3 %衡水: 0.3 %衢州: 0.2 %衢州: 0.2 %襄阳: 0.1 %襄阳: 0.1 %西宁: 2.9 %西宁: 2.9 %西安: 0.2 %西安: 0.2 %西雅图: 0.1 %西雅图: 0.1 %贵阳: 0.0 %贵阳: 0.0 %费利蒙: 0.2 %费利蒙: 0.2 %赣州: 0.2 %赣州: 0.2 %达拉斯: 0.0 %达拉斯: 0.0 %运城: 0.3 %运城: 0.3 %邯郸: 0.0 %邯郸: 0.0 %郑州: 0.4 %郑州: 0.4 %重庆: 0.1 %重庆: 0.1 %金华: 0.0 %金华: 0.0 %钦州: 0.0 %钦州: 0.0 %铁岭: 0.0 %铁岭: 0.0 %镇江: 0.1 %镇江: 0.1 %长春: 0.1 %长春: 0.1 %长沙: 0.7 %长沙: 0.7 %阿什本: 0.3 %阿什本: 0.3 %霍巴特: 0.3 %霍巴特: 0.3 %青岛: 1.1 %青岛: 1.1 %香港: 0.3 %香港: 0.3 %香港岛: 0.2 %香港岛: 0.2 %马德里: 0.0 %马德里: 0.0 %马湾: 0.2 %马湾: 0.2 %马鞍山: 0.0 %马鞍山: 0.0 %鹰潭: 0.0 %鹰潭: 0.0 %黄冈: 0.1 %黄冈: 0.1 %其他其他AucklandBandarCentral DistrictChinaDallasHanoiLee's SummitLewisburgNormanOsakaRochesterSan LorenzoSeongnam-siTower HamletsTuen Mun San HuiUmbauba丁克尔舍尔本万鸦老上海东京东莞中卫临汾临沂九江亨德森佛山元朗新墟克拉玛依六安兰州加利福尼亚北京北卡罗来纳州匹兹堡十堰华盛顿南京南宁南昌南通南里奥格兰德州博洛尼亚卡拉奇印多尔厦门台州吉安吉林吉隆坡咸宁哥伦布嘉兴埃德蒙顿基督城墨尔本多伦多大同大连天津太原威海宁波安康安曼宣城宿州密蘇里城巴格达巴黎常州平顶山广州廊坊张家口德宏德罕德阳恩施悉尼成都扬州文图拉新加坡新界无锡昆明晋城朝阳本那比杭州栃木格兰特县桂林梅努斯森尼韦尔武汉氹仔汕头池州沈阳沧州法兰克福波士顿泰勒泰安洛杉矶洛阳济南海口淄博深圳温州湖州湘西湛江漯河潍坊澳门澳门特别行政区烟台焦作珠海瓦利尼乌斯白沙盐城石家庄福州秦皇岛素里纽约绍兴罗奥尔凯埃舟山芒廷维尤芝加哥苏州茂名莆田莫斯科莱比锡菏泽萨默维尔衡水衢州襄阳西宁西安西雅图贵阳费利蒙赣州达拉斯运城邯郸郑州重庆金华钦州铁岭镇江长春长沙阿什本霍巴特青岛香港香港岛马德里马湾马鞍山鹰潭黄冈

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