近60年洞庭湖与荆江三口关系的演变规律

IF 0.3 4区 环境科学与生态学 Q4 ENGINEERING, CIVIL
GuangWei Hu, YeWei Liang, Yilan Ma, Haili Feng
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引用次数: 0

摘要

自2003年6月1日起,三峡水库开始在发电、防洪、航运等方面发挥综合作用。利用长时间序列径流输沙资料,利用BP神经网络、Mann-Kendall趋势检验和双累积曲线分析了三峡工程运行后洞庭湖与荆江三孔关系的演变。研究结果表明:(1)在年际和年代际尺度上,洞庭湖径流量的减少主要是由三孔径流量的急剧减少引起的。洞庭湖的淤积在一定程度上是由于三关输沙量的减少而得到缓解的。(2) 通过对洞庭湖入湖和出湖径流输沙的一致性分析,发现长江水利工程对进出洞庭湖径流和输沙的影响是异步的。流入湖中的沉积物的衰减率远大于流出湖中的沉积物衰减率。(3) 从三口干涸天数的趋势变化来看,三口趋于淤塞,瓯池河、沪渡河逐渐衰落。(4) 从洞庭湖的沉积过程线来看,2003年至2018年洞庭湖的累积沉积量为-2829×104t,洞庭湖由淤积状态转变为侵蚀状态。(5) 采用反向传播神经网络模型对洞庭湖的径流输沙过程进行了模拟,结果表明,模拟精度满足洞庭湖径流输沙预测的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary Law of the relatinship between Dongting Lake and Three Outlets of Jingjiang River in Recent 60 years
The Three Gorges Reservoir has begun to play a comprehensive role in power generation, flood control, shipping and other aspects, since June 1, 2003. Using long time series runoff and sediment transport data, the evolution of the relationship of the Dongting Lake and the Three Outlets of the Jingjiang River after operation of the Three Gorges Project was analyzed using Back Propagation neural networks, Mann-Kendall trend test, and double cumulative curves. The results show that: (1) On interannual and interdecadal scales, the decrease in runoff from Dongting Lake is mainly caused by the sharp decrease in runoff from the Three Outlets. To some extent, the siltation of the Dongting Lake was alleviated because of the reduction of sediment transport coming from the Three Outlets. (2) By analyzing the consistency of runoff and sediment transport in and out of Dongting Lake, it was found that the influence of the hydraulic engineering in the Yangtze River on runoff and sediment entering and leaving Dongting Lake is asynchronous. The rate of decay of sediment into the Lake is much greater than the decay rate of sediment out of the Lake. (3) From the trend change of the dried-up days of the Three Outlets, the Three Outlets tend to be silted, and the Ouchi River and the Hudu River gradually decline. (4) From the sedimentation process line of Dongting Lake, cumulative sedimentation of Dongting Lake from 2003 to 2018 was -2829×104t, and the Dongting Lake changed from siltation state to erosion state. (5) A Back Propagation neural network model was used to simulate the runoff and sediment transport of Dongting Lake, and the results show that the simulation accuracy met the needs of Dongting Lake runoff and sediment transport prediction.
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来源期刊
Tecnologia Y Ciencias Del Agua
Tecnologia Y Ciencias Del Agua ENGINEERING, CIVIL-WATER RESOURCES
CiteScore
0.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Published by the Mexican Institute of Water Technology, Water Technology and Sciences (Tecnología y ciencias del agua) is a highly specialized journal which reflects two important characteristics: The interdisciplinary nature of its articles and notes. The international scope of its authors, editors, reviewers, and readers. It constitutes the continuity of the journal Irrigación en México (Irrigation in Mexico) (1930-1946); Ingeniería hidráulica en México (Hydraulic Engineering in Mexico) (1947-1971); Recursos hidráulicos (Hydraulic Resources) (1972-1978), and Ingeniería hidráulica en México, second period (1985-2009). The journal is aimed at researchers, academics, and professionals who are interested in finding solutions to problems related to the water. The journal’s contents are interdisciplinary and contain previously unpublished articles and notes that offer original scientific and technological contribution that are developed in the fields of knowledge related to the following disciplines: Water and energy. Water quality. Hydro-agricultural sciences. Political and social science. Water management. Hydrology. Hydraulics.
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