复杂三角洲网络中河流-潮汐过程连通性的揭示

IF 6.3 1区 地球科学 Q1 ENGINEERING, CIVIL
Yajun Wang , Jianliang Lin , Yu Yan , Shuxian Wang , Zhenyan She , Chengyu Jin , Kairong Lin , Tongtiegang Zhao , Giovanni Coco , Huayang Cai
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引用次数: 0

摘要

珠江三角洲(PRD)是世界上最复杂的三角洲系统之一,由河流流量和潮汐力的动态相互作用形成。然而,在这个系统中,控制河潮连通性的机制仍然不清楚,特别是关于非线性反馈过程和时空滞后效应。本研究采用信息论框架研究珠江三角洲的过程连通性,整合相对互信息和相对传递熵,量化河流流量、潮汐和水位之间的同步性、因果性和方向性信息流。结果表明,河流流量主导着上游水位同步,而潮汐动力对下游水位同步的因果影响更大。20世纪90年代以来,人类活动对河流流量的影响逐渐减弱,而潮汐的影响则保持相对稳定。此外,水位连通性受季节和潮汐周期的调节,在汛期,流量效应占主导地位,而在枯水期,潮汐力占主导地位,特别是在大潮条件下。通过整合时滞效应,我们的框架揭示了延迟但物理上一致的驾驶员-响应路径,并细化了水动力连通性的空间结构。这项工作提出了第一个滞后意识,信息理论量化的河流潮汐连通性在一个复杂的三角洲系统。这些见解构成了复杂三角洲中河流-潮汐连通性的第一个滞后意识、信息理论量化,增强了我们对三角洲水动力学的理解,并为三角洲的水动力学建模、适应性管理和弹性规划提供了更有力的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unraveling river-tide process connectivity in complex deltaic networks
The Pearl River Delta (PRD) is one of the world’s most complex deltaic systems, shaped by the dynamic interaction between river discharge and tidal forces. However, the mechanisms governing river-tide connectivity within this system remain unclear, particularly with respect to the nonlinear feedback processes and spatiotemporal lag effects. This study employs an information-theoretic framework to investigate process connectivity in the PRD, integrating relative mutual information and relative transfer entropy to quantify synchrony, causality, and directional information flow among river discharge, tides, and water levels. The results reveal that river discharge predominantly governs water level synchrony in the upper PRD, while tidal dynamics exert stronger causal effects downstream water levels. Since the 1990s, human interventions have weakened the influence of river discharge, while tidal impacts have remained relatively stable. Furthermore, water level connectivity is modulated by seasonal and tidal cycles, with discharge effects dominating during flood seasons and tidal forces prevailing during dry seasons, particularly under spring tide conditions. By integrating time-lag effects, our framework reveals delayed yet physically consistent driver-response pathways and refines the spatial structure of hydrodynamic connectivity. This work presents the first lag-aware, information-theoretic quantification of river-tide connectivity in a complex deltaic system. These insights, constituting the first lag-aware, information-theoretic quantification of river-tide connectivity in a complex delta, enhance our understanding of deltaic hydrodynamics and provide a stronger basis for hydrodynamic modeling, adaptive management, and resilience planning in deltas.
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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