河口三角洲径流和潮汐相互作用模型及应用

doi:10.11978/2016131

Abstract

Abstract:

With the modulation of river flows, tides in delta and estuary are generally nonstationary and nonlinear, which is difficult for analysis and prediction. Combined the interaction of river and tide in an estuary with the concept of traditional Harmonic Analysis (HA), the River-Tidal Harmonic Analysis (RTHA) model was built, and the non-stationary tide in the Pearl River delta under daily Pearl River discharge was analyzed and predicted by the model. The results show that the RTHA model performed well when analyzing and predicting the hourly tidal water level and high-low tide on annual scale, which gave root-mean-square error of 0.12~0.17 m, and correlation coefficients of 91%~98%. Especially in the upper and middle channels of the delta where river dynamics are dominant, the results of the RTHA model are far better than those of the HA model. The results of the RTHA model show that the amplitudes of diurnal (K1), semidiurnal and third-diurnal constituents decrease rapidly in flood season with large river discharge and increase in dry season, but the amplitudes of quarter-diurnal constituents at Hengmen station increase in flood season and decrease in dry season. When the Pearl River discharge increases, the constituents’ phase increases and the wave celerity decreases in flood season, while the damping ratio of tidal amplitudes was about 10%~30% in the dry season and increased to 70%~80% in the flood season.

Key words: tide, river discharge, river-tide interaction, river-tidal harmonic analysis model, estuary, delta

Suying OU, Qingshu YANG, Hao YANG, Shuai HU. The development and application of river-tide harmonic model[J].Journal of Tropical Oceanography, 2017, 36(5): 1-8.

Figures/Tables 6

Fig. 1

Tab.1

Fig. 2

Tab.2

Fig. 3

Fig. 4

References 12

[1]	欧素英, 杨清书, 2004. 珠江三角洲网河区径流潮流相互作用分析[J]. 海洋学报, 26(1): 125-131.
	OU SUYING, YANG QINGSHU, 2004. Interaction of fluctuating river flow with a barotropic tide in river network of the Zhujiang Delta[J]. Acta Oceanologica Sinica, 26(1): 125-131 (in Chinese).
[2]	欧素英, 杨清书, 2008. 人工神经网络模型在航道、港口潮水位预报中的应用[J]. 水利水运工程学报, (2): 67-70.
	OU SUYING, YANG QINGSHU, 2008. Back-propagation artificial neural network model for prediction of tidal water level[J]. Hydro-Science and Engineering, (2): 67-70 (in Chinese).
[3]	CAI HUAYANG, SAVENIJE H H G, YANG QINGSHU, et al, 2012. Influence of river discharge and dredging on tidal wave propagation: Modaomen Estuary case[J]. Journal of Hydraulic Engineering, 138(10): 885-896.
[4]	GODIN G, 1985. Modification of river tides by the discharge[J]. Journal of Waterway, Port, Coastal, and Ocean Engineering, 111(2): 257-274.
[5]	GUO LEICEHNG, VAN DER WEGEN M, JAY D A, et al, 2015. River-tide dynamics: exploration of nonstationary and nonlinear tidal behavior in the Yangtze River estuary[J]. Journal of Geophysical Research, 120(5): 3499-3521, doi: 10.1002/2014JC010491.
[6]	JAY D A, FLINCHEM E P, 1997. Interaction of fluctuating river flow with a barotropic tide: A demonstration of wavelet tidal analysis methods[J]. Journal of Geophysical Research, 102(C3): 5705-5720.
[7]	KUKULKA T, JAY D A, 2003. Impacts of Columbia River discharge on salmonid habitat: 1. A nonstationary fluvial tide model[J]. Journal of Geophysical Research, 108(C9): 3293, doi: 10.1029/2002JC001382.
[8]	LEE T L, 2004. Back-propagation neural network for long-term tidal predictions[J]. Ocean Engineering, 31(2): 225-238.
[9]	MATTE P, JAY D A, ZARON E D, 2013. Adaptation of classical tidal harmonic analysis to nonstationary tides, with application to river tides[J]. Journal of Atmospheric and Oceanic Technology, 30(3): 569-589.
[10]	MATTE P, SECRETAN Y, MORIN J, 2014. Temporal and spatial variability of tidal-fluvial dynamics in the St. Lawrence fluvial estuary: an application of nonstationary tidal harmonic analysis[J]. Journal of Geophysical Research, 119(9): 5724-5744, doi: 10.1002/2014JC009791.
[11]	PAWLOWICZ R, BEARDSLEY B, LENTZ S, 2002. Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE[J]. Computers & Geosciences, 28(8): 929-937.
[12]	SASSI M G, HOITINK A J F, 2013. River flow controls on tides and tide-mean water level profiles in a tidal freshwater river[J]. Journal of Geophysical Research, 118(9): 4139-4151, doi: 10.1002/jgrc.20297.

站位	资料时间	RTHA模型					HA模型
站位	资料时间	径流	流量指数γ	分潮个数	S_y/m	R²/%	S_y/m	R²/%
灯笼山	分析时间段 1994-01至1994-12	马口日平均径流	1.15	27	0.12	94.2	0.27	60.9
横门					0.12	94.5	0.18	64.3
马鞍					0.16	95.9	0.78	10.5
小榄					0.22	96.4	1.11	4.1
灯笼山	预报时间段 1998-01至1998-12	马口日平均径流	1.15	27	0.20	94.7	0.26	67.5
横门					0.17	91.5	0.24	61.3
马鞍					0.19	95.4	0.54	43.8
小榄					0.24	99.4	0.76	37.0

站位	分析时间段: 1987—1989				预报时间段: 1990年1—12月
	RTHA模型		HA模型		RTHA模型		HA模型
	S_y/m	R²/%	S_y/m	R²/%	S_y/m	R²/%	S_y/m	R²/%
大盛	0.17	96.5	0.19	95.7	0.19	95.5	0.21	94.3
泗盛围	0.17	96.2	0.19	95.1	0.19	95.5	0.21	94.3
横门	0.17	92.9	0.20	90.5	0.19	93.1	0.19	92.9
板沙尾	0.15	94.6	0.27	82.6	0.19	92.5	0.28	81.7
马鞍	0.16	92.7	0.31	71.5	0.17	92.7	0.30	74.9
小榄	0.15	94.3	0.44	52.4	0.21	90.1	0.44	51.7
南华	0.16	96.0	0.62	37.2	空白	空白	空白	空白
容奇	0.16	93.3	0.35	69.4	0.19	92.4	0.33	72.0
三多	0.18	94.4	0.58	43.4	0.27	90.3	0.57	44.1
三善滘	0.16	93.1	0.29	78.6	0.25	90.1	0.29	76.6
马口	0.22	98.0	1.28	30.5	空白	空白	空白	空白
甘竹	0.17	95.9	0.71	31.2	0.25	91.7	0.72	39.3
江门	0.16	93.2	0.47	42.3	0.21	91.1	0.46	41.0
竹银	0.15	91.2	0.24	76.1	0.17	90.6	0.25	75.7
灯笼山	0.16	91.8	0.18	88.7	0.20	90.8	0.21	90.2
黄金	0.17	93.2	0.19	92.2	0.17	91.9	0.17	91.7
官冲	0.20	92.6	0.21	92.0	空白	空白	空白	空白

[1]	XIE Botao, HUANG Bigui, YANG Wei, LI Ruixiang, ZHANG Yan, LIU Tongmu, LI Xiangyi. Characteristic statistics and analysis of internal waves in the continental slope area west of the Dongsha Plateau on the northern South China Sea in the autumn of 2021^* [J]. Journal of Tropical Oceanography, 2023, 42(6): 29-41.
[2]	QIU Xiufang, LI Bo, WANG Bozhi, GU Junhao, WANG Jisi, SU Yanan, CAI Huayang. Spatial-temporal variations in tide-river dynamics of typical transverse channel in the Pearl River channel networks——Taking the ‘Nansha-Nanhua’ transverse channel as an example [J]. Journal of Tropical Oceanography, 2023, 42(4): 77-90.
[3]	WU Jiaxing, WANG Haocheng, ZHANG Lu, ZHANG Zhuo, CHEN Peng, LI Yuting. Investigation into the tidal propagation features along the tidal reach of the West River (Makou — Modaomen) [J]. Journal of Tropical Oceanography, 2023, 42(4): 47-62.
[4]	YUAN Huabiao, HUANG Jingtong, WAN Peng, CAI Bingna, PAN Jianyu, ZHANG Yuhang, LING Juan, CHEN Hua. Screening and efficacy evaluation of antibacterial peptides from Holothuroidea [J]. Journal of Tropical Oceanography, 2023, 42(4): 184-194.
[5]	SONG Xingyu, LIN Yajun, ZHANG Liangkui, XIANG Chenhui, HUANG Yadong, ZHENG Chuanyang. Distribution characteristics and influencing factors of meso- and micro-zooplankton communities in the offshore waters of the Guangdong-Hong Kong-Macao Greater Bay Area^* [J]. Journal of Tropical Oceanography, 2023, 42(3): 136-148.
[6]	XU Yikai, HU Song, ZHU Yuhang, WANG Fei, ZHANG Chunling. Impacts of continental shelf on tide in the Bay of Bengal [J]. Journal of Tropical Oceanography, 2023, 42(3): 67-74.
[7]	YAN Jing, WEI Xing. Geomorphological changes and dynamic responses of the Huangmaohai Estuary in the Pearl River Delta [J]. Journal of Tropical Oceanography, 2023, 42(2): 9-20.
[8]	GAO Na, ZHAO Mingli, MA Yi, XU Wanming, ZHAN Haigang, CAI Shuqun. Effect of typhoon on storm surge in the Pearl River Estuary [J]. Journal of Tropical Oceanography, 2023, 42(1): 32-42.
[9]	TANG Ling, NIE Yuhua, WANG Ping, TANG Chaolian. Trend analysis of marine heatwaves variability in the outer Pearl River estuary from 1974 to 2020 [J]. Journal of Tropical Oceanography, 2022, 41(6): 143-150.
[10]	CONG Mengjing, HU Yiwei, ZHAO Kai, ZHANG Xiaoyong, LIU Yonghong, WANG Junfeng. Study on the polyketides from a cold-seep-derived Talaromyces helicus SCSIO41311 [J]. Journal of Tropical Oceanography, 2022, 41(5): 117-120.
[11]	WANG Junfeng, ZHOU Wenying, TIAN Xinpeng, LIU Yonghong. Antiviral chromones from the deep-sea hydrothermal-vent-derived Fusarium sp. SCSIO 06196 [J]. Journal of Tropical Oceanography, 2022, 41(5): 189-193.
[12]	SONG Jiacheng, QI Hongshuai, ZHANG Chi, CAI Feng, YIN Hang. Analysis of energy dissipation process of wave propagation in beach foreshore under the influence of tide [J]. Journal of Tropical Oceanography, 2022, 41(4): 146-153.
[13]	FENG Bingbin, WANG Riming, LI Shushi, HUANG Hu, HU Baoqing. Changes of the artificial beach profile in the Qinzhou Bay [J]. Journal of Tropical Oceanography, 2022, 41(4): 51-60.
[14]	SU Jinzhu, ZOU Jiashu, SU Yuping, ZHANG Mingfeng, WENG Zhenzhou, Yang Xiaoqiang. Study on the early warning model of red tide in the offshore area of Pingtan, Fujian province [J]. Journal of Tropical Oceanography, 2022, 41(4): 172-180.
[15]	SHANG Bowen, WU Yunchao, JIANG Zhijian, LIU Songlin, HUANG Xiaoping. Characteristics and sources of organic matter in sediments of the Pearl River Estuary: Carbon storage implications [J]. Journal of Tropical Oceanography, 2022, 41(3): 16-28.

The development and application of river-tide harmonic model

RichHTML

PDF (PC)

Like

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 6

References 12

Related Articles 15

Metrics

Comments

Recommended 0