Effects of cluster land reclamation projects on storm surge in Jiaojiang Estuary, China

Sun, Zhilin; Huang, Senjun; Jiao, Jian‐ge; Nie, Hui; Lu, Mengmeng

doi:10.1016/j.wse.2017.03.003

Cited by 9 publications

(3 citation statements)

References 32 publications

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“…Coastal reclamation is a major human activity in coastal areas (Jiang et al, 2015;Tian et al, 2016;Murray et al, 2022) and also a major factor contributing to changes in coastal evolution in these regions (Chen et al, 2022;Li et al, 2022). Previous research has concentrated on coastal reclamation effects on the hydrodynamics, sediment transport, and morphodynamics of tidal bays or estuaries (Van Maren et al, 2016;Sun et al, 2017;Yang and Chui, 2017;Gao et al, 2018;Liang et al, 2018). Long-term, large-scale coastal reclamation has reduced the area of coastal wetlands, markedly reduced the natural coastline, and harmed coastal ecosystems in China.…”

Section: Introductionmentioning

confidence: 99%

Human-induced rapid siltation within a macro-tidal bay during past decades

Liu,

Xia,

Wang

et al. 2024

Front. Mar. Sci.

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Tidal bay evolution is the result of the comprehensive influence of multiple factors. It is crucial to analyze the primary factors to disassemble the comprehensive effects. In this study, remote sensing and bathymetric data were used to investigate anthropogenic activities and geomorphological changes in Puba Bay, China. From 1964 to 2020, the intertidal zone area decreased by 64.5% due to mariculture ponds and coastal reclamation, with the former accounting for 60.4% of the total area. Over five decades, the bay experienced significant silting, with a 61.5% decrease in underwater area, an 88.4% decrease in volume, and considerable reductions in maximum water depth, cross-sectional terrain depth, and width. Anthropogenic activities led to a reduction in tidal prism and tidal velocity, resulting in increased flood dominance and decreased ebb dominance in the main channel, leading to more siltation. Negative and positive feedback mechanisms were observed between anthropogenic activities, seaward expansion of intertidal flats, and bay siltation. The influence of mariculture ponds, as the major factor, on geomorphological changes was found to be similar to that of coastal reclamation. To maintain water depth and capacity for material exchange in the bay, preliminary suggestions for mariculture pond management are proposed.

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Section: Introductionmentioning

confidence: 99%

Human-induced rapid siltation within a macro-tidal bay during past decades

Liu,

Xia,

Wang

et al. 2024

Front. Mar. Sci.

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“…Based on the unstructured grid, a wave current coupling calculation model is proposed to meet different scales and environmental conditions [2]. Based on FVCOM, a coupling model of storm surge and the astronomical tide is established by Sun [3] to study the response of storm surge in the Jiaojiang estuary to sea reclamation works and runoff changes.…”

Section: Introductionmentioning

confidence: 99%

Mathematical simulation of backwater and velocity distribution around tandem cylindrical piles

Zhang

2023

J. Phys.: Conf. Ser.

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Nowadays, with the extensive development and utilization of coastal engineering, the research on the flow field around pile groups is becoming more important. In this paper, the flow velocity and water level distribution around tandem cylindrical and rectangular piles are calculated and studied by the numerical simulation method based on delft3D. The results show that the water level of the piles in the front row of the tandem pile group increases greatly, and the influence of the rear row of the piles is small due to the shielding effect.

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“…China is one of the nations most prone to suffer from storm surge, as more than one-third of its coastal cities are located in the high-risk zones [16]. When storm surge coincides with high astronomical tides, exceptional high water levels can occur near the mouth of estuaries and rivers [17], which can cause dike overflowing, seawall failure and salinity intrusion, resulting in a large economic loss [18] and a huge impact on water supply. Therefore, it is necessary to carry out research on observation and prediction of storm surge.…”

Section: Introductionmentioning

confidence: 99%

Storm Surge Prediction Based on Long Short-Term Memory Neural Network in the East China Sea

et al. 2021

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As an area frequently suffering from storm surge, the Yangtze River Estuary in the East China Sea requires fast and accurate prediction of water level for disaster prevention and mitigation. Due to storm surge process being affected by the long-term and short-term correlation of multiple factors, this study attempts to introduce a data-driven idea into the water level prediction during storm surge. By collecting the observed meteorological data and water level data of 12 typhoons from 1986 to 2016 at the Lusi tidal station of Jiangsu Province, China near the north branch of the Yangtze River Estuary, a Long Short-Term Memory (LSTM) neural network model was constructed by using multi-factor time series to predict the water level during the storm surge period. This study concludes that the LSTM model performs precisely for 1 h prediction of water level during the storm surge period and it can provide a 15 h prediction of water level within a limited error, and the prediction performance of the LSTM model is visibly superior to the four traditional ML models by 41% in terms of Accuracy Coefficient.

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Effects of cluster land reclamation projects on storm surge in Jiaojiang Estuary, China

Cited by 9 publications

References 32 publications

Human-induced rapid siltation within a macro-tidal bay during past decades

Human-induced rapid siltation within a macro-tidal bay during past decades

Mathematical simulation of backwater and velocity distribution around tandem cylindrical piles

Storm Surge Prediction Based on Long Short-Term Memory Neural Network in the East China Sea

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