About the Journal
Journal Title: Water Resources and Hydropower Engineering
Publication Cycle: Monthly(Published on the 20th of each month)
Governing Body: Ministry of Water Resources of the People's Republic of China
Sponsor: Development Research Center of the Ministry of Water Resources
Tel: 010-63205981
E-mail: 13941816@qq.com
China Standard Serial Number (CN): 10-1746/TV
International Standard Serial Number (ISSN): 1000-0860
News
Analysis of meteorological and hydrological evolution and establishment of runoff prediction model in Pailugou Watershed based on BO-LSTM
KANG Yongde;CHEN Pei;XU Erwen;REN Xiaofeng;JING Wenmao;ZHANG Juan;[Objective]To reveal the characteristics of hydrological situation evolution in Pailugou watershed of Qilian Mountains, and to provide a basis and reference for future water resource management and optimal allocation in the watershed.[Methods]Based on the measured runoff and hydrological data of Qilian Mountain Field Observatory from 2000 to 2019, the effects of precipitation and temperature on runoff were investigated by using the linear trend method, Pettitt′s test, and wavelet analysis, et al., and a BO-LSTM runoff prediction model for the Pailudou Basin was established.[Results]1)From 2000 to 2019, precipitation, air temperature and runoff in Pailugou Watershed showed a two-stage upward trend, and the cutoff point was in 2010, precipitation and runoff, the first stage of the upward trend are higher than the second stage, the slope is 10.74, 3.16 in turn; air temperature is the opposite, the second stage is higher than the first stage, the slope is 0.11. And precipitation, air temperature and runoff of the MK mutation test z-value are greater than 0.(2)Precipitation in the May-October months on the runoff changes of the contribution rate is larger; and air temperature in the December-April months on the runoff changes of the contribution rate is large.(3)The air temperature in Pailougou Basin mainly has two main cycles, 3 a and 14 a, of which the first main cycle is 14 a; runoff exists in three main cycles, 19 a, 9 a and 3 a, of which the first main cycle is 19 a; precipitation mainly exists in two main cycles, 4 a and 11 a, of which the first main cycle is 11 a.(4)The BO-LSTM runoff prediction model for Pailougou, with an accuracy of R2 of 0.63 and a root-mean-square error of 14 047 m3, and the prediction accuracy of the model is greater in months with smaller runoff than in months with larger runoff. [Conclusion] Precipitation, air temperature and runoff in Pailugou Basin have been on an upward trend in the past 20 years. Runoff, precipitation and air temperature in Pailugou Basin have obvious cyclicity. Air temperature and precipitation are important factors affecting the runoff in Pailugou Basin. The runoff prediction model can be applied to Pailugou Basin. The above results provide scientific support for the study of water resource effects in the Qilian Mountains and the prediction of water resources in inland river basins.
Operational risk prediction of urban pipe network based on coupling mechanism model and data model
LONG Yan;QU Jia;ZUO Xiangyang;LI Yunyu;LIU Ziwei;LU Yinfei;[Objective]The frequent occurrence of global extreme climate events and the rapid pace of urbanization have resulted in increasingly severe urban waterlogging issues, leading to a significant rise in drainage pressure within urban pipe networks. It is of utmost importance to promptly assess the operational status of these pipe networks.[Methods]The flood process analysis mechanism model of the Wenchong drainage system in Huangpu District, Guangzhou, was established based on the SWMM model to determine the hydraulic capacity of pipeline sections under different rainfall scenarios. Subsequently, a data model incorporating both single-well and multi-well computing models was developed to predict the hydraulic capacity of urban pipe sections, with careful selection of the most suitable data model. Finally, an evaluation of operational risk for the urban pipe network was conducted using an improved analytic hierarchy process and comprehensive risk index method.[Results]The results show that:(1) The decision tree model based on the multi-well calculation mode has the highest accuracy, with an RMSE of 0.077 and a MAE of 0.030, and the single-well calculation time is 600,000 times faster than the SWMM model.(2) In the area where sensitive points are concentrated, social factors exert the most significant influence on the operational risk of the pipe network, with a weightage of 0.72. In contrast, in the area where sensitive points are not concentrated, economic factors play a dominant role in determining the operational risk of the pipe network, carrying a weightage of 0.68.[Conclusion]The decision tree model based on the multi-well calculation mode can meet the precision and timeliness requirements for urban flood emergency response. The risk of pipe network operation varies across different areas of the city, necessitating the proposal of improvement measures tailored to local conditions.
Study on optimization of pre-flood water level centralized flow control mode of Three Gorges Reservoir
ZHANG Song;HE Xiaocong;LIANG Zhiming;China Three Gorges Corporation;[Objective]Affected by the uncertainty of water forecast, power generation scheduling, ecological scheduling test, and bank stability requirements, the centralized water level scheduling mode of the Three Gorges Reservoir has some problems, such as difficulty in precise water level regulation and room for optimization of water resource utilization efficiency. In order to effectively control the flood control risk and improve the operation flexibility and comprehensive benefit, the optimal operation mode of extending the pre-flood period of the Three Gorges Reservoir was proposed.[Methods]Based on the analysis of the changes of hydrological regime in the Three Gorges Reservoir, the flood control effects and benefits of different schemes were compared and analyzed through the coupling of the extension of pre-flood centralized water level, the flood control calculation and the flood evolution model of the downstream river. Under the principle of not affecting the safety of flood control and effectively improving the comprehensive benefit, the pre-flood water level centralized subsiding method was optimized.[Results]The result show that the Three Gorges Reservoir can pre-discharge the water level to 145 m when it is transferred to flood control operation in 1954, 1998 and other major floods in the Yangtze River basin, and the pre-discharge process does not increase the number of days beyond the warning water level of major hydrological stations such as Shashi and Chenglingji downstream, and do not raise the water level during flood peak.[Conclusion]On the premise that the flood control risk can be controlled, when the downstream river water level is low in mid to late June, the pre-flood water level of the Three Gorges Reservoir can be appropriately extended to 145 m, which can better coordinate the pre-flood flood control and water supply needs, and effectively connect the dynamic control of the reservoir′s operating water level during the flood season, which is conducive to improving the flexibility of the centralized flood control and water resource utilization efficiency, and provide better conditions for the actual operation of the Three Gorges reservoir..
Distribution and impoundment response law of landslides in the reservoir area of Wudongde Hydropower Station
LI Chaorui;TANG Mingao;ZHOU Jian;ZHANG Qiaofeng;LI Yang;[Objective]The impoundment operation of the Wudongde Hydropower Station has caused significant landslide deformation. In order to find out the development characteristics of landslide and the water storage response law of wading landslide deformation, [Methods]SBAS-InSAR, optical remote sensing interpretation, field surveys, mathematical statistics and theoretical analysis were used to study the number, development characteristics, deformation patterns and trend of landslides induced by the impoundment of the Wudongde Hydropower Station.[Results]The result show that there are 62 landslides along the coast of Wudongde Reservoir, including 39 water-related landslides. These landslides are concentrated in Jurassic, Cretaceous red beds and Proterozoic shallow metamorphic rock areas. The slope of the landslide is 10°~40°, the height difference between the front and rear edges is 200~800 m, the slope types are mostly convex forward-facing slopes, with linear or fold line sliding surfaces being predominant. A total of 114 obvious deformations have occurred in 39 water-related landslides since the initial impoundment, and the maximum deformation rate is 63.72 mm/a. Currently, the number of landslide deformation and deformation rate are increasing year by year, which is in the active stage. The deformation trend of landslide is categorized into accelerated deformation, uniform deformation, and deceleration stabilization deformation. Among them, the accelerated deformation landslide accounts for 61.54%, which is dominated by the landslide with a straight line and a high degree of wading. Its water storage response is significant and the deformation is large. The influence of reservoir water level decline on landslide is greater than that of reservoir water level rise.[Conclusion]The deformation law of Wudongde reservoir landslide is revealed, which provides a scientific basis for the prediction and prevention of reservoir landslide disaster.
Research on the variation trends of precipitation and runoff in the Pearl River Basin based on innovative trend analysis method
WANG Xiayu;JIA Wenhao;WANG Sen;FENG Zhongkai;QIN Youwei;ZHANG Kang;LIU Xia;LI Jiayu;[Objective]Precipitation and runoff are the key elements of the hydrological cycle. Studying the trend variations of precipitation and runoff, especially further exploring changes in their relationship, is of great significance for understanding climate change, water resources management, and ecological protection.[Methods]Based on a long series of precipitation and runoff data from 1956 to 2019, the innovative trend analysis method was used to analyze the variation trends of precipitation, runoff, and runoff coefficient at different spatiotemporal scales in the Pearl River Basin.[Results]The result showed that:(1) the overall annual precipitation in the Pearl River Basin showed a downward trend, with changes in low-value categories declining by more than 5%, indicating an increased likelihood of drought in the Pearl River Basin, and the change trend of annual runoff was consistent with that of precipitation. Across different sub-basins, the West River and East River showed significant downward trends, while the North River showed an upward trend.(2) From a seasonal perspective, spring and autumn precipitation in the Pearl River Basin showed a significant downward trend, while summer and winter precipitation showed an upward trend. The spring high precipitation values and all types of autumn precipitation showed a downward trend of more than 5%, and the summer high precipitation values and winter low-to-median precipitation showed an upward trend of more than 5%. The variation trends of annual runoff in spring, autumn, and winter were consistent with precipitation, but were opposite in summer.(3) The runoff coefficient showed a significant downward trend, especially in high values. Preliminary analysis suggested that the decrease in runoff coefficient was related to the increase of evapotranspiration, changes in vegetation coverage, and the regulation and storage of water engineering.(4) The consistency rate between the innovative trend analysis method and the traditional Mann-Kendall method was 70% for trend type and 22% for significance.[Conclusion]Spatiotemporal variation characteristics of precipitation, runoff, and runoff coefficient in the Pearl River Basin: From a temporal perspective, the annual precipitation and runoff in the Pearl River Basin show an overall declining trend, with a significant decrease in the runoff coefficient. From a spatial perspective, the precipitation and runoff in the West River and East River exhibit a noticeable downward trend, while the North River shows an upward trend. The innovative trend analysis method, compared to the Mann-Kendall method, demonstrates significant differences in trend significance testing.
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