{"title":"Evolutionary Law of the relatinship between Dongting Lake and Three Outlets of Jingjiang River in Recent 60 years","authors":"GuangWei Hu, YeWei Liang, Yilan Ma, Haili Feng","doi":"10.24850/j-tyca-15-5-3","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":48977,"journal":{"name":"Tecnologia Y Ciencias Del Agua","volume":" ","pages":""},"PeriodicalIF":0.3000,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tecnologia Y Ciencias Del Agua","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.24850/j-tyca-15-5-3","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.