When there is a leakage point in the water supply pipe network, it is not easy to be detected due to its concealment, and the long-term leakage accumulation will not only cause waste of water resources, but also lead to the problem of poor production and marketing of water supply. The frequency domain analysis was introduced into the water supply industry, and a node pressure of water supply pipe network based on FFT was proposed. Firstly, the specific method is called EPANET by writing a program to optimize the operation simulation of water supply pipe network, and then solve the optimal pump and valve scheduling scheme back into the simulated leakage point working condition. With the help of Fourier transform to convert the time-varying node pressure into an amplitude signal, the pipeline node pressure was analyzed from the perspective of the frequency domain. Therefore, the length range between the leakage point and the starting node of the pipeline was judged. Through verification and compared with the previous pressure based analysis of the leakage point, the proposed method can judge whether the pipeline is normal operation and the location range of the leakage point from the perspective of frequency domain.

With the increase of economic development and the frequency and intensity of flood disasters, post-disaster emergency management requires rapid understanding of disaster losses. This paper firstly constructed an index system from five aspects including disaster-causing factors, disaster-bearing bodies, disaster-pregnant environment, emergency response capacity and disaster situation, and verified its rationality based on generalized gray correlation analysis. Secondly, Gaussian process regression model was introduced to pre-evaluate and simulate the economic losses of flood disasters. Finally, the method was applied to evaluate the direct economic losses of flood disasters in Beijing-Tianjin-Hebei urban agglomeration from 2010 to 2020. The results show that the generalized gray correlation analysis-Gaussian process regression model has the best fitting accuracy when comparing the simple Gaussian process regression with the neural network assessment model.

In respect to the network security situation and attacks of new types, the needs of trusted computing of applications in SCADA for pumped storage power station was analyzed. Based on the trusted hardware platform and operating system, a system structure of trusted applications in SCADA was proposed, and the key techniques such as trusted distributed services and trusted behavior analysis were discussed. The results show that the proposed design realizes the trusted applications in SCADA, and provides active defense mechanism for SCADA, and adapts to the development of prospective SCADA applications for pumped storage power station.

The total leakage amount behind a certain reservoir dam reaches 16.7 L/s, with the seepage points being the drainage body at the dam foot and the low culvert, but the anti-seepage body inside the dam is weak to slightly permeable and tightly cemented. The image recognition results reveal that the dam body outside the low culvert pipe has formed a penetrating leakage channel. This article selects the centerline of the dam body and the cross-section of the culvert pipe position as example. Based on measured data such as the physical parameters of the rock and soil of the dam body and the leakage amount behind the dam, AutoBank modeling was used to calculate and modify the stability of the dam, while simulating the stability of the reinforced dam. The results show that the water inside the low culvert pipe comes from the water seepage outside the pipe wall, and the leakage points are generally concentrated in the pile number K0+058~0+131.5, mainly in the form of rain or jet, while other sections are in the form of drip or no seepage. The dam body within 2.9 m outside the culvert pipe has formed a penetrating leakage channel, which is the main cause of drainage and culvert pipe leakage. The central section of the dam is in a state of seepage and anti-sliding stability under the conditions of 176.50 m water level, normal water storage level, and check flood level. The cross-section of the dam culvert pipe location undergoes seepage failure under various working conditions, and the calculated total leakage is in good agreement with the on-site measured value; Except for the anti-sliding instability of the upstream dam slope under the condition of sudden water level drop, the dam slopes under all other conditions are stable. After reinforcement, the dam is in seepage and anti-sliding stability under all working conditions.

Based on the agricultural drought-affected rate of 13 major grain producing provinces in China from 1980 to 2019 and the daily rainfall data, the climate-caucusing loss intensity (CCLI) were extracted using H-P filtering, and its responses to dry-days indices (DDI) and large-scale atmospheric-ocean indices (LAOI) were explored. The correlation analysis between CCLI of each province and DDI in different months indicated that summer drought had the higher contribution to the disaster situation, especially the total number of dry days in July was identified as the primary drought-causing factors (PDCF) in 10 provinces. The PDCF in Henan, Jiangsu, Hubei, Inner Mongolia, Jilin, and Liaoning all showed a significant strengthening trends, indicating the intensification of drought risk in the key month of summer; The fluctuation of PDCF in each province had a main cycle of 2-3 years; At the time-lag of 0-12 months, circulation signals such as North Atlantic Oscillation, Pacific Warm Pool, and Arctic Oscillation had the significant impacts on the drought situation. This study can provide scientific basis for regional drought monitoring and early warning.

In recent years, it is urgent to solve the interest allotment problem of multi-energy joint delivery alliance considering the impact of carbon peaking and carbon neutrality goals. Based on the traditional Shapley value method and considering the fairness of contribution, four indicators of resource input, risk allocation, carbon policy impact, and contribution degree were introduced to build an improved MCGC-Shapley based the cloud center method. Taking Sichuan Province as an example, benefit distribution was calculated by quantifying the comprehensive contribution of each party. Compared with the traditional Shapley value allocation strategy, the example analysis shows that the improved MCGC-Shapley benefit allocation method can better achieve the matching between the interests of the main body and the comprehensive contribution, improve the investment enthusiasm, and play a positive role to promote all-win of power generation enterprises and power grid enterprises.

In order to improve the accuracy and reliability of runoff prediction, the advantages of EMD in dealing with non-stationary time series are introduced, and a BP neural network prediction model based improved adaptive noise complete set empirical mode decomposition (ICEEMDAN) and whale algorithm (WOA) optimization is established. Taking the inflow runoff prediction of Jinpen Reservoir in Heihe, Shaanxi Province as an example, a simulation model based on multiple intelligent optimization algorithms is established to predict the inflow runoff of the reservoir. At the same time, historical data of different time series, such as precipitation and runoff, are selected as input factors to compare the prediction ability and results of BP, WOA-BP, ICEEMDAN-BP and ICEEMDAN-WOA-BP models under the same input factor conditions. The results show that as far as the input sequence is concerned, the prediction effect of the model with precipitation as the input factor is better than that of the model with runoff as the input factor; For different algorithms, ICEEMDAN-WOA-BP model has good stability, Nash coefficient can reach 80%-90%, and the prediction accuracy is higher. The proposed ICEEMDAN-WOA-BP model can provide technical support for river runoff prediction, reservoir hydrological prediction and watershed water resources management.

Manually planning concrete gravity dam pouring scheme is time consuming, lower efficiency and complex. It is also difficult to make adjustment and to visualize the process. An automatic BIM-based pouring scheme planning system is proposed. The system associates the pouring information with the BIM model directly, and is capable to do the pouring-related parameters calculation, pouring constraints customization, dam blocks scheduling, Gantt charts drawing, dam timeframe display, pouring process visualization. Finally, this paper uses the Zhuxi Dam as an example to verify the efficiency and intuitiveness of the system, which provides a reference for research on the development of similar systems.

In order to solve the problem of instability of the bottom plate and pressure damage of the suspended grid due to the excessive time-average pressure in the suspended grid stilling basin, numerical simulation was used to study the water level difference and pressure field in four different arrangements of the suspended grille under the design and calibration flow. Two optimization schemes of the combined toe pier-suspended grille and circularized suspended grille were proposed on the basis of the scheme 4 with better water stabilization effect. The results show that the combined toe pier-hanging grille optimisation scheme can reduce the time-average pressure at the bottom plate by 63% and 50% compared to scheme 4 at the design and calibration flow rates, effectively reducing the difference in the time-average pressure Δp₂ between the upper surface C and the lower surface D of the grille in the basin. The rounded grille optimisation scheme can make the total pressure distribution at the grille more uniform and avoid local damage to the grille. Therefore, it is recommended to choose a combined auxiliary energy dissipation method of toe pier-suspended grille for high flow stilling basin with pressure requirements.

Cross building is inevitable in water diversion projects, and the structural state of cross buildings is crucial to the safe operation of the project. Based on a water transfer project in Henan Province, a three-dimensional finite element model of cross-crossing of water pipeline structures in the inverted siphon and water transfer project of the South-North Water Transfer Central Project was established by taking into account the coupling effect between soil-water-structure in the process of water transfer and diversion. The structural state effect of cross building under each simulation operating condition was analyzed by considering the periods of unconstructed structure, completion, normal operating. The results show that the cross-crossing building has impact on the existing building, especially for the large change of structural state in cross part. The maximum tensile stress in the inverted siphon structure increases from 0.54 MPa to 0.97 MPa, and the maximum settlement increases from -1.38 mm to -1.90 mm; The tensile stress in the aqueduct increases from 1.03 MPa to 1.34 MPa, and the maximum settlement increases from -3.78 mm to -4.07 mm. The stress value and settlement amount can meet the engineering requirements. Moreover, with the increase of the buried depth of the two supports of the water pipeline, the less the impact on inverted siphon is. The research results can provide reference for the analysis of similar projects.