Robotic total station plays an important role in long-term, continuous and automatic displacement monitoring of reservoir dams. But the reliability of the monitoring results is easily affected by atmospheric refraction. Based on the theoretical analysis of the meteorological correction model and reference point differential correction model, the applicability of atmospheric refraction correction model was experimentally analyzed by using the automatic monitoring system based on robotic total station established in Wanmipo power station. The results show that for small monitoring areas, only using the meteorological data at the station for correction can achieve good results, and the accuracy of reference point differential correction model is equivalent to that of meteorological correction model. It has reference value for the construction of dam automatic monitoring system based on robotic total station.

The determination of water conservancy project construction scheme is one of the most important decisions during the whole project construction period, which has an important impact on the progress and cost of the project. Considering the influence of main construction machinery and team configuration on construction period and cost, this paper established SVR model to simulate different construction schemes and corresponding construction period and cost data, and used multi-objective genetic algorithm to optimize construction schemes. Taking a box culvert project of South-to-North Water Transfer as an example, optimization model was established considering both construction period and cost. The optimization of project construction scheme was realized, and the applicability and accuracy of the model and method were verified.

It is of great significance to explore the variation law of soil thermal conductivity for fields of ground source heat pump systems and soil heat storage. The thermal conductivity variation law of loess and sandy soils with different dry densities and different saturations was investigated by TEMPOS thermal performance analyzer. The results show that saturation and dry density both have significant effects on the thermal conductivity of soil. The thermal conductivity of loess and sandy soil shows an overall increasing trend with the increase of saturation, but there is an obvious difference in the change pattern of thermal conductivity of loess and sandy soil. The thermal conductivity of loess and sandy soil increases with the increase of dry density, but the change range of loess soil is smaller than that of sandy soil. At the same time, 16 prediction models are evaluated based on the experimental data and the results show that the CCM model performs the best.

The precipitation and ice melt water supply in Huma River Basin have a great impact on the runoff changes of the main stream of Heilongjiang Province. Climate change is an important factor affecting the precipitation and ice melt water of the Huma River. By collecting the data of Huma, Xinlin, Tahe, Huzhong meteorological stations and Humaqiao hydrological stations in the basin, combined with the DEM data, land use data and soil data, a SWAT runoff model suitable for the basin was constructed to simulate the monthly runoff. At the same time, the response of runoff to climate change in the basin was studied by setting temperature and precipitation gradients through the weather generator. The results show that the SWAT model has good adaptability in the basin, and the R² and N_NSE in the calibration and validation periods have reached the evaluation standard of the model. The runoff of Huma River Basin is much more sensitive to precipitation changes than temperature, and precipitation is the main control factor of runoff changes in the basin.

The deep learning technology was used to study a method of predicting the performance of SCC based on the mixture image information during the mixing process. Twenty-five sets of videos of the SCC mixing process with different performances were recorded. According to the slump flow and T500 measured values and combined with the visual inspection, the SCC mixes were classified into three performances: qualified, insufficient fluidity and segregation. By processing the videos into image sets, the deep learning models were built using image classification and target detection respectively. The models learn and train the image features of the mixes to realize the prediction of SCC performance. The results show that both image classification and target detection methods can achieve more than 98% accuracy on the validation set, which provides a reference for adjusting the mix proportion in real-time and realizing the smart production of SCC.

Aiming at the cumbersome problem of applying the Markaviev method to calculate the bed-forming flow rate, the geomorphic work diagram method was proposed to simplify the calculation of the bed-forming flow. Based on the measured water and sediment data from 1960 to 2014 at the four hydrological stations of Huayuankou, Gaocun, Aishan and Lijin in the lower reaches of the Yellow River, the Markaviev method and the geomorphological method were used to calculate the bed-forming flow of the four stations over the years. The results show that the differences in the bed-forming flow over the years at the four stations in the lower reaches of the Yellow River calculated by the two methods are small and the downward trend is similar. Compared with the Markaviev method, the geomorphic work diagram method is more convenient and accurate to calculate the bed-forming flow.

It is of great practical significance for flood control and drought relief in the basin to accurately identify the variation characteristics of the extreme value of "hydrological consistency" caused by changing environment. Therefore, this paper took the Yellow River basin with significantly reduced runoff as an example. Firstly, The Mann-Kendall test method and univariate linear regression method were used to accurately identify the abrupt and trend characteristics of runoff at important hydrological stations in the main stream of the Yellow River. Secondly, 13 hydrological characteristic indexes were used to reveal the temporal and spatial variation law of hydrological characteristics of the basin under the condition of inconsistency. The results show that the annual runoff of Tangnaihai, Toudaoguai, Huayuankou and Lijin stations decreases year by year at the rate of 27.46, 105.75, 172.20 and 141.37 m³/(s·10a) respectively, and the abrupt change years are 1989, 1992, 1992 and 1984 respectively. Before and after runoff variation, 13 hydrological characteristic values vary in time and space scale, and the change degree in the middle reaches is large, and the source area is small. The research results provide important theoretical support for determining the development and utilization mode of water resources in the basin.

When the water conveyance tunnel in long-distance water diversion project passes through the potential earthquake area, there is a major engineering safety hazard caused by active fault dislocation. It is of great engineering significance to reveal the influence of fault dislocation on the stability of water conveyance tunnel. Based on ABAQUS finite element analysis software, considering the complex dynamic interaction characteristics of surrounding rock, fault, lining and internal water, the three-dimensional numerical simulation of surrounding rock-fault fracture zone-lining-internal water system was carried out, and the influence of different fault dislocation momentum, width and cohesion on the stability of water conveyance tunnel was analyzed in depth. The results show that the vertical displacement and damage degree of the lining structure of the water conveyance tunnel decrease under the conditions of small fault dislocation, fault width and large fault cohesion, which has a certain reference value for the theoretical study of the dynamic response of the water conveyance tunnel across faults.

A static dynamic triaxial instrument was used to carry out concrete triaxial dynamic mechanical tests by setting different strain rates (10^-5/s, 10^-4/s, 10^-3/s, 10^-2/s) and different lateral confining pressures (4.5 MPa, 6.0 MPa, 9.0 MPa and 12 MPa). The evolution law of the total energy density, elastic strain energy density and dissipated energy density of concrete with axial strain under dynamic triaxial compression was studied. The influence of lateral confining pressure and strain rate on the energy evolution law of concrete was analyzed. The results show that with the increase of axial deformation, the total energy density and dissipated energy density of concrete increase nonlinearly, and the elastic strain energy density first increases and then decreases. The increase of strain rate and lateral confining pressure improves the specific energy storage limit of concrete, and the energy storage limit of concrete shows a strong rate sensitivity; The relationship of energy storage limit and the lateral confining pressure is approximately linear; With increase of the lateral confining pressure, the rate sensitivity of the concrete energy storage limit shows a decreasing trend.

A SWAT model of the upper Paraná River basin in Brazil was constructed to test its applicability in largescale watershed. The sensitivity parameters of the model were analyzed. Then the model was calibrated and validated using 17 runoff stations. The results show that the soil evaporation compensation coefficient (ESCO) and the SCS runoff curve number (CN2) are the most sensitive parameters for the sub-basins with a high density of rain gauged stations, the model could simulate the discharge well after calibration, and the R² values of 11 stations among 17 calibration stations were greater than 0.5; Affected by factors such as insufficient precipitation data and changes in land use, the model in validation period did not perform as well as in the calibration period. Thus, the SWAT model could be used as an effective tool for large-scale watersheds, but the simulation accuracy largely depends on the quality of precipitation data.