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珠江河网水位与动力边界的联合依赖关系演变

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珠江河网的水位变化是动力和地貌边界共同驱动的结果.然而,在强人类活动干预下,河网地貌边界发生异变,叠加动力边界(上游流量和口外海平面)变化影响,导致河网水位格局出现异变.探讨河网水位的异变问题,可为河口整治和水资源高效开发利用等提供重要指导.本研究采用Copula方法探究强人类活动驱动下河网日均水位与动力边界的联合依赖关系演变过程,并对极端日均水位风险进行了评估.结果表明:珠江河网水位与动力边界的联合依赖关系发生了显著变化,表现为相同流量或海平面条件驱动下,河网上部日均水位下降、中下部高水位下降但低水位抬升,而口门区域日均水位抬升.强人类活动前后珠江河网极端日均水位的风险变化表明,当河网上部水位与流量、海平面遭遇概率为10%~90%时,日均水位降幅为0.02~1.24 m;河网中下部水位与流量、海平面遭遇概率为90%时,变化与上部一致但降幅缩小为0.05~0.23m,而遭遇概率为10%时,其日均水位抬升,幅度为0.01~0.07m;在口门区域,水位与流量、海平面遭遇概率为10%~90%时,日均水位抬升0.02~0.09m.综上所述,强人类活动后,动力边界对河网水位的影响明显减弱,河网日均水位整体抗风险能力下降,发生极端水位事件的风险加剧.
EVOLUTION OF JOINT DEPENDENCE OF DAILY AVERAGED WATER LEVELS AND DYNAMIC BOUNDARIES IN ZHUJIANG(PEARL)RIVER CHANNEL NETWORKS
The daily averaged water levels of the Zhujiang(Pearl)River channel networks are mainly driven by the dynamic and morphological boundaries.However,due to the abrupt variation of the morphological boundary owing to the intensive human interventions,together with the influence of dynamic boundary changes(the river discharge and sea level outside the estuary),the daily averaged water level pattern of the channel networks altered considerably.The evolution of Copula joint dependence of daily averaged water levels and dynamic boundaries in Zhujiang River channel networks were studied for risking assessment of extreme daily averaged water level,which is essential concerning the sustainable water resources managements in estuaries.Results show that the variation of joint dependence of daily averaged water levels and dynamic boundaries presented an obvious change,which is characterized by the decline of daily averaged water level with the same probability in the upper reaches of the river channel networks driven by the same river discharge or sea level,the decline of high water level with the same probability in the middle and lower reaches and the rise of low water level,and the rise of daily averaged water level with the same probability in the estuary mouth.The risk assessment of extreme daily averaged water level before and after intensive human interventions shows that,for given the encounter probability of river discharge and sea level ranging from 10%to 90%in the middle and upper reaches of the river channel networks,the daily averaged water levels would be decreased ranging from 0.02 to 1.24 m;for given the encounter probability of 90%in the middle and lower reaches,the variation is consistent with those in the upper reaches but the range of the decrease could be reduced ranging from 0.05 to 0.23 m.However,for given the encounter probability of 10%in the same reaches,the daily averaged water levels would be increased ranging from 0.01 to 0.07 m;for given the encounter probability of river discharge and sea level ranging from 10%to 90%in the estuary mouth,the daily averaged water levels be increased ranging from 0.02 to 0.09 m.In summary,following intensive human interventions,the influence of dynamic boundaries on the channel networks'water levels has significantly weakened,leading to a reduced overall resilience of daily averaged water levels and an increased risk of extreme water level events.

daily averaged water levelriver dischargesea levelintensive human interventionsCopula joint probability distribution

杨昊、李博、欧素英、刘锋、蔡华阳

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生态环境部珠江流域南海海域生态环境监督管理局 生态环境监测与科学研究中心 广东 广州 510611

中山大学海洋工程与技术学院 河口海岸研究所 广东 广州 510275

河口水利技术国家地方联合工程实验室 广东 广州 510275

广东省海岸与岛礁工程技术研究中心 广东 广州 510275

南方海洋科学与工程广东省实验室(珠海)广东珠海 519000

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日均水位 流量 海平面 强人类活动 Copula联合概率分布

国家自然科学基金项目国家自然科学基金项目广东省自然科学基金-卓越青年团队项目

52279080号42076171号2023B1515040028号

2024

海洋与湖沼
中国海洋湖沼学会 中国科学院海洋研究所

海洋与湖沼

CSTPCD北大核心
影响因子:0.737
ISSN:0029-814X
年,卷(期):2024.55(5)