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.

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.

The geological conditions of a certain reservoir area and dam site are complex, with multiple penetrating faults. In order to analyze the seepage situation in the reservoir area and the dam body, the finite element method was used to conduct three-dimensional numerical simulation of the seepage field in the dam and reservoir area. Based on the actual operating conditions, parameter inversion was conducted, and the anti-seepage safety of the dam was analyzed and evaluated based on the distribution of water head and the calculation results of seepage flow. The results indicate that the change of permeability coefficient of faults in the reservoir area has the most significant impact on the seepage flow rate of the left bank and dam section, and the left bank seepage is more severe. The seepage line of the dam body is relatively high, and there are cracks in the upstream anti-seepage panel, causing jet flow in the high water level dam body. There is a lot of accumulated water in the corridor, and the comprehensive anti-seepage and drainage system facilities of the dam are not perfect. The overall seepage flow in the dam site area is too large, especially in the thin watershed on the left bank, where leakage is more severe. There are serious problems with dam foundation leakage and seepage around the dam, and it should be treated.

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.

With the increase of the service life of the dam, inversion analysis of dam mechanical parameters based on the prototype monitoring data is necessary. At present, the dam inversion analysis model is still mainly based on the dam displacement monitoring data, which can only reflect the dam displacement law at the macroscopic level, while the change law of the strain field and stress field of the dam is ignored from the mesoscopic perspective. Therefore, a high arch dam mechanical parameter inversion model based on WOA-BPNN and MOEA/D was proposed, which consider both the dam displacement monitoring data and the dam strain monitoring data. The mechanical parameter inversion analysis of the arch dam was carried by the dam’s displacement data and strain data. The results show that the inversion parameter is more accurate and reasonable.

Dam displacement can directly affect the quality and operation safety of the dam. To find out the prediction model of the dam displacement, the temporal convolutional neural network model was used to predict the dam displacement. Three bionic algorithms of the sparrow search algorithm (SSA), the gray wolf algorithm (GWO) and the bat algorithm (BA) were improved by genetic algorithm, and three optimization algorithms including MSSA, MGWO and MBA were obtained. Taking root mean square error, determination coefficient, mean absolute error, efficiency coefficient and GPI index as precision index system, three combined weighted models including D-MSSA-TCN, D-MGWO-TCN and DMBA-TCN were constructed based on the deep belief network model (DBN). The results show that the MSSA algorithm had the highest operating efficiency and accuracy among all the algorithms. The accuracy of the three combined models was significantly higher than the rest of the models. The D-MSSA-TCN model had the highest accuracy among all models and can be recommended for estimating dam displacement.

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.

In recent years, part of water conveyance buildings of the main canal of the middle route of the South-to-North Water Diversion project have high water level and abnormal flow pattern, which lead to the risk of reduced water conveyance capacity. Therefore, it is urgent to assess the head loss. However, there are no monitoring stations inside the buildings, the project operation has not reached the designed scale, and the monitoring data lacks verification. The monitoring data of water level and discharge of the main canal during the large water delivery period in 2022 were collected, and the third-party hydraulic prototype measurement was carried out, and the monitoring data was reviewed and corrected. A calculation method of head loss was put forward using comprehensive head loss coefficient. The head loss of 143 out of 158 water transport structures in the main canal was calculated under enlarged flow. The results show that there is surplus in the distribution of head in the main canal. The total surplus head of the whole line is 3.05 m, among which the surplus in the section south to the Yellow River, the section between the Yellow River and the Zhang River, the section north to the Zhang River are 0.48 m, 1.06 m and 1.51 m respectively, accounting for 4%, 13% and 12% of the allocated head, respectively. The head loss of 40 water conveyance buildings exceeded the assigned value, among which were 31 inverted siphon, 4 aqueduct, 4 culvert and 1 tunnel.

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.

The problem of standard disconnection often exists in the two-level drainage mode of plain river network cities in China. As a result, when heavy rainfall occurs, the hydraulic characteristics and drainage capacity of pipe network system are affected by both rainfall intensity and water level of drainage water, making it difficult for waterlogging to discharge out. Therefore, taking the municipal drainage system and water drainage system of Suzhou Industrial Park as an example, the multi-scenario flood process simulation based on SWMM was carried out, and the analysis showed that when the river water level was between 1.70 m and 2.30 m, the main reason for the water accumulation in the study area was the insufficient capacity of the current pipe network system itself, and the river water level aggravated the water accumulation. When the water level exceeded 2.30 m and keep rising, the drainage capacity of the pipe network system decreased sharply, and the river level gradually became the main factor restricting the flow capacity of the pipeline and aggravating the degree of water accumulation. It is suggested that the maximum water level for river drainage control in the study area should be around 2.30-2.32 m. This conclusion can provide reference for urban river level regulation to improve urban drainage and waterlogging capacity.