Eutrophication is a major problem in rivers and lakes all over the world. Regular monitoring of water quality and establishment of appropriate models are of great significance in the effective management of water eutrophication. The purpose of this study is to establish a remote sensing retrieval model for water quality and evaluate the nutrient distribution. of the Ring River.The mathematical model has been established by correlation analysis between the reflection value of Landsat-8 satellite images and the water quality values of field sampling.The results indicated that ：① The linear model is the best， which can predict the nutrient distribution of the water body， and the fitting degree of the inversion models for total nitrogen， total phosphorus and ammonia nitrogen are 0.823 0， 0.635 5 and 0.792 8， respectively； ② The best correlation between reflection and the measured values are band3 and band 4； ③ From the spatial perspective， the eutrophication level in the north of the Ring River is worse than the south， because it affected by surrounding environment that reside more population， and by the influx from South Fehe River which is polluted more seriously.

The current research status of the stability characteristics of reinforced gabions is analyzed， and it is found that there are few studies on the stability characteristics of reinforced gabions considering the deflection angle. Considering its shortcomings， subjected to force analysis and derivation， a formula for calculating the critical velocity of the reinforced gabion considering the deflection angle with the undetermined drag force coefficient C_D \text{?}is proposed. On this basis， a \times a \times a , a \times a \times c , a \times b \times c，three shapes of reinforced gabion critical velocity flume experiment and drag force coefficient experiment， the undetermined drag force coefficient under the influence of deflection angle and Reynolds number is considered. The experimental results show that the larger the deflection angle of the reinforced gabion， the lower the critical velocity； the drag coefficient of the reinforced gabion is between 0.55 and 0.84， and the drag coefficient first decreases and then increases with the increase in the deflection angle.When the deflection angle is 15°， the drag coefficient takes the minimum value； the drag coefficient of the reinforced gabion first increases and then gradually decreases with the increase of the block Reynolds number. The deduced formula has been verified experimentally， and accuracy is good， which can provide a theoretical reference for the calculation of the critical velocity of the reinforced gabion and the value of the drag coefficient.

Monitoring the water change of Nansihu， an important water conveyance and storage hub for the east route of South-to-North Water Diversion Project， can serve for local environmental protection and management and rational development and utilization. This paper collects Landsat data of Nansihu from 2006 to 2020 and utilizes New Water Index （NWI） to extract the water area for Analysis of the interannual and interannual variation rules and influencing factors. The results are validated against Sentinal-2 data. The annual average water area of Nansihu Lake decreased by 33.854 km² from 2006 to 2015， and increased by 14.488 km² from 2015 to 2020. Under the influence of artificial water diversion， rainfall only had a significant influence on the water area of the year before 2013. From 2006 to 2015， the water area of Nansihu Lake decreased first and then increased，showing an improvement of local ecological environment.

The plain river network area is supported by the water level of the outer river during the flood season， and it is often difficult for the regional waterlogged water to drain by itself. It is necessary to build a new drainage pumping station to solve the waterlogging problem. Taking Yanka Pumping Station as an example， according to the precipitation and underlying surface conditions in the drainage area， the average elimination method and the hydrological and hydrodynamic model method are used to determine the scale of the drainage pumping station in the plain river network area to meet the regional drainage requirements. According to this analysis， the traditional average elimination method and the new hydrological and hydrodynamic model method have their own advantages， and the combined use can scientifically and reasonably determine the design flow of the drainage pumping station， and provide water safety guarantee for the regional economic and social development. The research results can provide a reference for determining the scale of drainage pumping station in plain lake area.

Construction diversion is an important part of hydropower engineering. Due to the Characteristics of itself and command of model test， diversion model design have the particularity compared with other river project and individual sluice structure model. In general， diversion model should be designed as normal and scale model that meet the requriment of Gravity similarity and Resistance similarity. Give consideration to local scour of cofferdam， selection of similarity scale and grain size of model sand is a key point.On base of introducing the principal theory of model similarity， thesis deduct the calculation formula of maximum bottom velocity， and think it as incipient velocity of sand，approve it meet the requirement of sediment movement；use the common calculation formula of local scour with consideration of characteristics of normal model， deduct the relationship between similarity scale of model sand and geometric scale， and provide the principal of model sand selection. Conclusion can provide the direction of the engineering designing and model designing.

Soil moisture has been a critical research object in climate， hydrology， ecology and agriculture. However， soil moisture monitoring can not meet the needs of large-scale area applications if only relying on site data. Recent studies have shown that high-quality satellite soil moisture data is a good substitute for site data. This paper selects the observed soil moisture data of 30 agrometeorological stations to evaluate accuracy of the GLEAM satellite soil moisture in the Huaihe River Basin. Results show that： ① Compared with the measured results of agrometeorological stations， on a single-point scale， the accuracy of the satellite soil moisture data in different stations is significantly different. In terms of watershed scale assessment， the GLEAM data has a relatively high accuracy. The correlation coefficient of soil moisture in both surface and root zone layer is more than 0.7， among which the surface layer is close to the mean value of the measured data and the soil moisture in root zone layer is somewhat underestimated.② In terms of spatial distribution， both GLEAM and agrometeorological stations data show that the soil moisture in the Huaihe River Basin is high in the south and low in the north， high in the east and low in the west， while soil moisture in the southern Huaihe River and the coastal areas of Yi and Shu River is relatively large. Based on the advantages of wide range and continuous space of satellite soil moisture monitoring， it is suggested that it should be used in large-scale regional soil moisture research. ③ The average soil moisture in the Huaihe River Basin has a significant inter-annual change. Since 1980， soil surface layer and root zone layer have shown a downward trend， especially in spring. The inter-annual variation of soil moisture in summer and autumn is large due to the influence of inter-annual variation of drought and flood in the basin. Overall， the GLEAM satellite data has relatively high precision and good stability in the basin scale assessment， which can make up for the lack of site monitoring data， and has an important application prospect in the basin agricultural production， flood forecasting， drought assessment and water resources assessment.

The decoupling trend between environmental regulation， technological innovation and the efficiency of industrial green total factor water resources is analyzed from 2002 to 2019 based on the decoupling elasticity and low-pass filtering technology， and then their equilibrium evolution relationships are tested from the aspects of existence verification， pulse and variance interpretation by VAR measurement model. The decoupling elasticity between environmental regulations， technological innovation and industrial green total factor water resource efficiency has a better development trend， but it is different from the inverted “U” relationship of the traditional Kuznets curve. Especially after filtering out the impact of high-frequency noise， environmental regulations and industrial green total factor water resource efficiency show two inverted “U”-shaped fluctuations and a period of vibration adjustment. Although there is an inverted “U”-shaped fluctuation between technological innovation and industrial green total factor water resource efficiency， it is relatively lagging compared to environmental regulations. There is a long-term co-integration relationship between environmental regulation， technological innovation and the efficiency of industrial green total factor water resources， but the co-integration mechanism of environmental regulation on technological innovation is not significant. The impact of environmental regulation on industrial green total factor water resource efficiency is better than that of technological innovation， and the positive incentive effect caused by it was more obvious. Moreover， under the trend of increasing regulatory intensity， the dependence of its green total factor water resource efficiency on technological innovation has gradually increased， but the driving effect of technological innovation should be improved. The impact of industrial green total factor water resource efficiency on environmental regulations and technological innovation will have a wavy effect in the opposite direction in the short term， but in the long run， their regulation can further release the improvement potential of industrial green total factor water resource efficiency. The key to achieving the above goal is to shorten the length of time for digesting regulatory policies and promote technological innovation to overcome the “scale investment trap”.

In order to realize the ecological environment and high-quality development strategy of the Yellow River Basin， it becomes necessary to investigate the water resources carrying capacity condition in the basin. In view of the actual situation of each province and region in the Yellow River Basin， an index system consisting of three criterion layers and 13 indicators is constructed from the water resources subsystem， socio-economic subsystem and ecological environment subsystem， and the fuzzy set-pair analysis method and barrier degree model， which is a combination of entropy weighting method and hierarchical analysis method， are used to evaluate the water resources carrying capacity of each province in the Yellow River Basin from 2008 to 2017 and to identify and analyze their obstacle factors. The conclusion analysis shows that the water resources carrying capacity of each province in the Yellow River basin in general has improved significantly during the decade， with Henan， Sichuan and Qinghai provinces being the most obvious， while Ningxia and Inner Mongolia provinces did not improve significantly. The main reasons for this result are the uneven distribution of water resources conditions and the unbalanced development of economic and social levels in the Yellow River Basin provinces， while the five indicators of per capita water resources， average annual precipitation， ecological water use rate， irrigation rate of arable land and per capita GDP are the main obstacle factors that hinder the improvement of the water resources carrying capacity of the Yellow River Basin.

A pattern of multi-source water supply including surface water， groundwater， reclaimed water， water from the Yellow River and the Yangtze River has been formed in Shandong Province. But many enterprises compete for local low-cost surface water， groundwater and water from the Yellow River， rather than high-cost water from the Yangtze River. In order to effectively absorb the high-cost water from the Yangtze River and promote water use efficiency， it is necessary to establish a comprehensive water price model of multi-source and multi-link water supply system based on the refined optimal allocation of water quantity， water quality and water price. According to the actual situation of water resources development and utilization in Zouping City， this paper calculates and analyzes the comprehensive water price of the multi-source and multi-link water supply system for industrial water. This is of great significance for the scientific and effective management of the existing water supply system， the realization of water supply at the same price of external water transfer and local water， the guidance of water use behavior of water users， the protection of regional water supply safety and the sustainable and healthy development of economy and society.

Canopy interception is an important part of the surface evapotranspiration process. Analyzing the influence of canopy interception on evapotranspiration process has a positive effect on improving the accuracy of evapotranspiration simulation. The leaf area index （LAI） based on remote sensing Penman-Monteith model （PML） divides evapotranspiration into two parts： soil evaporation and vegetation transpiration. However， few researches focus on the effect of canopy interception on evapotranspiration and energy distribution. According to the observation data of Wangdu Station in 2020， the parameters of PML model was calibrated and the evapotranspiration was simulated by adding canopy interception module. The results indicate that： ① the improved PML model achieves high accuracy in Wangdu Station， and the R ² between simulation and observation is 0.71； ② the canopy interception accounts for 3.14% of the total annual evapotranspiration and 4.37% of the annual rainfall. The soil evaporation accounts for the largest proportion during the year； ③with the consideration of canopy interception， the energy for soil evaporation decreases by 3.46% and the energy for vegetation transpiration decreases by 5.10%. This study provides a reference for understanding the effect mechanism of canopy interception on evapotranspiration components of PML model.

The water supply in Shuangliao City is mainly groundwater and the change of water quality will have a great impact on industry， agriculture and residents' life.Therefore， it is of great significance to study the chemical characteristics and formation process of groundwater water in Shuangliao City. Based on PHREEQC software， this study carries out reverse geochemical simulation on the two paths of diving and micropressurized water， and analyzes the formation and evolution law of groundwater water chemistry in Shuangliao City in combination with the main ion ratio. Further，by combining geological and hydrogeological conditions， hydrogeochemical processes and the characteristics of groundwater chemical composition， a hydrogeochemical evolution model is established， qualitative and quantitative characteristics of hydrochemical evolution of groundwater in the study area are given， and the hydrogeochemical evolution process in the area is revealed. The results show that evaporation， solubility and cation exchange are the main control factors in the chemical formation of diving water in Shuangliao City， and soluble filtration and cation exchange are the main control factors in the process of micropressurized water flow.

The three-dimensional dynamic visualization of flood evolution can provide theoretical basis and decision support for flood disaster prevention and rescue and relief. The flood depth map of two-dimensional can determine the position that needs to be guarded against， but the display effect is not stereoscopic and intuitive enough. Based on Cesium 3D terrain engine， CZML can display the flood inundation process in a three-dimensional and dynamic manner. However， the numerical simulation results cause discretization of computing units， which greatly affects the user's perception， and the real-time loading and rendering of the flooded grid results in a certain degree of page lag. Combined with the new technology of HTML5 named Canvas， the inundated grid is uniformly colored as a whole， and the front-end rendering pressure is reduced by the way of background cache， which can greatly improve the visual effect of flood evolution and improve user experience.

In recent years， soil moisture remote sensing satellite data are widely used in the study of climate， hydrology， agriculture and other fields. The applicability analysis of microwave soil moisture data products is becoming more and more important. Based on the fluxnet 2015 data set of NASA and the ISMN network initiated and managed by European Space Agency， this study uses statistical methods from July 2012 to December 2014， based on IGBP （International geosphere biosphere program） as the standard of land cover type classification， two remote sensing soil moisture products SMOS-L3-SM and AMSR2-LPRM-SM are compared and verified with the measured data at FLUXNET sites around the world， and from January 2016 to December 2017， the soil moisture products of 30 meters.The global land cover product （globel and 30） is used as the standard of land cover classification， and the SMAP-L3-SM and AMSR2-LPRM-SM are compared with the measured data at ISMN sites around the world. The results show that the retrieval accuracy of the three remote sensing soil moisture products in the low and sparse vegetation coverage area is higher than that in the dense vegetation coverage area， and the retrieval accuracy of SMOS and AMSR2 products is lower when the surface coverage is coniferous forest， while the retrieval accuracy of SMAP and AMSR2 products is lower when the surface coverage is wet underground higher than AMSR2.

Phreatic water is one of the available water sources for crop growth. In this paper， the long-term observation data of phreatic water evaporation and hydrometeorology at Wudaogou Experiment Station from October 1991 to May 2020 are used， the variation trend of phreatic water evaporation and water surface evaporation， surface temperature， air absolute humidity and air temperature at different buried depths （0~5 m） in winter wheat growth period are analyzed， the ratios of phreatic water evaporation to four meteorological factors at different depths of groundwater table in different growth stages of winter wheat are calculated（evaporation coefficient of phreatic water）， the functional relationship between evaporation coefficient of phreatic water and buried depth is constructed. The results show that based on four meteorological factors， the fitting relationship between phreatic water evaporation coefficient and buried depth is analyzed， the results show that all of them are positive： the exponential function of emergence tillering stage is the best， and binomial function of other growth stages is the best， the R ² is above 0.89， the fitting accuracy is high， it can be used to estimate the phreatic water evaporation of Winter Wheat in yellow fluvo aquic soil in Huaibei Area.

In order to solve the problems of large sediment concentration in irrigation water diversion in the southern Xinjiang of the upper reaches of Tarim River， which seriously affects the normal water supply of irrigation canal system in irrigation area. This paper theoretically modifies and optimizes the calculation method of continuous sedimentation tank on the basis of one-dimensional flow supersaturated sediment transport method，and proposes an improved integrated design method of continuous irrigation sediment discharge basin for sediment laden rivers in arid area. The experimental results show that the relative errors between the calculation results and the experimental results are less than 5%. With the increase in continuous sedimentation tank section，the relative error decreases. With the increase in irrigation diversion flow and sediment concentration， the relative error decreases at first and then increases. Thus it can solve the problem of large error in the calculation method of sedimentation rate of continuous sedimentation tank for water intake and diversion of sediment laden river，eliminate the influence of channel sediment deposition caused by water intake and diversion of sediment laden river，and ensure the water demand for continuous irrigation， and realize irrigation diversion， sediment reduction， sediment prevention and sustainable development in arid areas.

Xiliaohe River Basin of Inner Mongolia Autonomous Region is an important food production area in China. In recent years， with the rapid expansion of planting area of corn and other crops， irrigation water consumption has greatly increased. The serious overload of water resources development and utilization in the Xiliaohe River Basin has caused ecological problems such as groundwater table dropping dramatically， river break， grassland desertification and shrinkage of lake wetlands， which have seriously threatened water safety in downstream Tongliao City. This paper takes Tongliao City in Xiliaohe River Basin as the research object.On the basis of statistics of current situation of water consumption in Tongliao City and changes of groundwater overexploitation areas in recent forty years， the factors influencing groundwater overload and continuous expansion of overexploitation areas in Tongliao City are analyzed. It further reveals the main reasons for serious overload of water resources carrying capacity. On these bases， the future planning of water resources utilization and corresponding regulatory suggestions of Tongliao City are put forward in combination with the guiding principle of “carrying out program by measuring water”. At the same time， it provides a reference for the formulation and implementation of the plan.

The development of sensor technology has brought new opportunities to the field of channel flow measurement. At present， most flow measurement equipment mainly estimates the flow of the channel section by measuring the flow velocity at the point. However， in the channel， due to the effect of backwater， the velocity distribution at the same section changes with the downstream water depth. In order to explore the cross-section flow velocity distribution characteristics of open channel under different water depth boundary conditions， this paper uses FLOW-3D for 3D modeling and simulation. A 100 m canal section in a typical trapezoidal channel in the plain irrigation area is selected to perform constant flow for different downstream backwater conditions. By studying the cross-section velocity distribution under different downstream water depth conditions， the possible flow error caused by using a fixed surface velocity coefficient is analyzed， and according to the variation law of the water surface velocity coefficient， a fixed-rate method is proposed when the height of the backwater below the channel is less than 20 cm water surface velocity coefficient can be used to estimate the flow error （the error is less than ± 10%）. This paper also fits the simulation data to obtain the curve of the water surface velocity coefficient with respect to the water depth， and uses this curve to modify the water surface velocity coefficient. The results show that the measurement error can be reduced to within 1.4%. Finally， it analyzes the minimum number of measurement points that should be selected when the radar technology is used to measure the water surface velocity， while ensuring that the measurement error is no more than 10%.

In order to obtain the field water management model of the rice field unit in the shrimp rice field after heavy rains， and to play the role of the shrimp rice field on the waterlogged water retention， a rice flooding experiment is carried out at the Yajiao Irrigation and Drainage Station in the Four Lakes Basin in Hubei. The experiment is carried out in a flooded pond. potted plants are used to simulate the flooding scenario of rice. A total of 7 treatments are set： shallow water short flooding （T1）， shallow water intermittent flooding （T2）， shallow water long flooding （T3）， deep water short flooding （T4）， deep water intermittent flooding （T5）， deep water long flooding （T6） and conventional irrigation （CK）. The results show that the flooding of rice jointing stage will promote the growth of the internode length and plant height of rice. Under the same flooding duration， the promotion effect is more obvious at high flooding depth than at low flooding depth； when the flooding depth is 40 cm， the plant heights of shorter flooded， intermittently flooded and long flooded rice increases by 2.9%， 3.6% and 5.4% respectively compared with conventional irrigation. With the exception of shallow water short flooding treatment （T1）， which slightly increases the yield， other flooding treatments would cause a decrease in rice yield. Under the same flooding duration， the yield of high flooding depth is less than that of low flooding depth when the flooding depth is 40 cm， the rice yields of short， intermittent and long flooding treatments are reduced by 4.3%， 6.2%， and 13.1%， respectively compared with conventional irrigation. At the same flooding depth， the effects of intermittent flooding and short flooding on rice yield are similar. In terms of yield composition， the flooding treatment mainly reduces the number of grains per panicle and the seed setting rate. When the flooding depth is 40 cm， the number of grains per panicle and the seed setting rate are significantly reduced. In order to take into account both rice planting and shrimp farming， the water depth of 15~25 cm should be maintained when the rice of the shrimp rice field is flooding at the jointing stage or the paddy field should be flooded intermittently， and continuous flooding for a long time must be avoided.

Targeted at the problems of short transmission distance and poor anti-interference ability of traditional communication technology， unreasonable and low water resource utilization of traditional irrigation， this paper constructs a precision irrigation system for orchards based on LPWAN Internet of Things and expert system. The system collects environmental information such as air temperature and humidity， soil temperature and humidity through the acquisition nodes， then uploads data packets to the cloud server through LoRa and NB-IoT networks. The expert system realizes water requirement prediction and irrigation decision-making and other functions based on the collected environmental data and the decision-making mathematical model， and feedback the decision-making results to the irrigation control module. In order to improve the prediction accuracy， the GA-BP water requirement prediction algorithm is introduced， and the mango orchard is used as the experimental object. The results show that the average packet loss rate of the system is 0.45% within 1 200 m， revealing that the data transmission is stable and reliable. The root mean square error and mean absolute error are 0.074 5 and 0.109 1 mm/d， respectively， which have higher prediction accuracy than the BP model. During the experiment， the relative humidity of the orchard soil is between 80% and 90%， which meets the conditions required for the growth of mango trees. The system can realize real-time monitoring and precise irrigation of the orchard environment， and can provide a reference for further improving the effect of irrigation on fruit yield and quality.

This paper attempts to improve the infiltration and evaporation process of soil water by adding biochar， to solve the problem of uneven seasonal precipitation and large irrigation evaporation loss in the arid area of Northwest China. It uses soil column experiments to study the mass addition ratio of 6 levels of biochar ［0 （CK）， 1% （B1）， 2% （B2）， 3% （B3）， 5% （B5）， 7% （B7）］ on the influence of soil wetting front， cumulative infiltration， and cumulative evaporation， and verify the applicability of different infiltration and evaporation models under the conditions of biochar addition. The results show that the more biochar is added， the more obvious the effect of slowing down the migration rate of wetting front and the depth of soil wet front migration has a power function relationship with the infiltration duration. Compared with CK treatment， the cumulative infiltration of B1， B2， B3， B5 and B7 decreases by 6.0%， 11.9%， 19.9%， 28.0% and 36.2% respectively， indicating that biochar can significantly reduce the cumulative infiltration of soil. With the increase in biochar proportion， the inhibition of soil evaporation is more obvious. Therefore， considering the process of soil infiltration and evaporation， the optimal biochar content is 3%~5%. The simulation results of the model show that the Kostiakov model and Rose model can better describe the process of soil water infiltration and evaporation under the condition of biochar addition. This study can enrich the application scenarios of biochar， and provide theoretical reference for the practical application of biochar in the arid area of Northwest China.

In order to explore the applicability of “Effective Radius” theory to the drain pipe wrapped in synthetic envelope， this paper conducts field pipe drainage experiments，which consider the types and the thickness of the envelope. The drainage processes are monitored and compared with those computed by the drainage theory formula and the numerical simulation of groundwater movement combined with the theory of “effective radius”. It is found that the effective radius of drainage is mainly influenced by the permeability coefficient and the thickness of envelope， which results in a bigger radius with a higher thickness. This is contrary to the field test results and the calculation results of the drainage theory formula. Therefore the traditional theory of effective radius of outsourcing material drainage is not suitable for synthetic outsourcing materials. It is necessary to revise the theory for better estimating the discharge of pipe drainage.

A Takagi-Sugeno （T-S） fuzzy model identification approach based on modified fuzzy c-regression clustering aiming at the difficult problem of high-precision modeling of hydro-turbine generating units is proposed. Considering the importance of the error index between the sample output value and the output of the clustering hyperplane， the fuzzy c-regression clustering algorithm is improved. The algorithm assigns the reciprocal of the error value to the corresponding sample membership degree， and constructs a new weight matrix to update the clustering hyperplane， thereby accelerating the convergence of the clustering process towards the optimal clustering hyperplane. A new hyperplane-shaped membership function is proposed， which directly uses the hyperplane to identify the premise parameters. The recursive least squares algorithm with forgetting factor （FFRLS） is used to identify the consequent parameters of the model online. Taking three commonly used mathematical examples and a hydro-turbine generating unit of a hydropower station as the objects， the corresponding T-S fuzzy models are established and compared with other identification methods. The results indicate that the proposed fuzzy identification method has high identification accuracy， and the identified model has strong generalization ability.

The change of force transmission caused by temperature deformation is more significant than that of a large-sized factory volute in pumped storage power stations because of the relatively small diameter. Taking a pumped storage power station as an example， the influence of temperature deformation on the gap and force transmission between the spiral case and the surrounding concrete is analyzed by the numerical simulation for the temperature field and temperature stress during the construction and operation process. The research shows that the average force transmission between winter and summer is quite different. Compared with the design pressure transfer ratio when the temperature effect is seldom considered， the pressure transferred to the concrete during the summer operation period increases significantly which will cause the actual force of the concrete to be more than the design value and increase the risk of concrete cracking. In the structural design， the specific conditions of the actual project and the influence of temperature load should be considered in combination. The reasonable bearing ratio of the volute and its surrounding concrete should be obtained through the three-dimensional finite element simulation analysis that simulates the construction and operation process.

Through the analysis of the mechanical and economic influence of the design parameters on the medium and small plane steel gate， the quantitative index formula of the influence degree is established. The formula includes the stress， deformation and weight into the quantitative system. Finally， the influence coefficient values of the panel thickness， the height and the spacing of the main beam are obtained by using the finite element analysis method. The study shows that the height of the main beam has the greatest influence on the comprehensive performance of the gate， which should be considered more in the structural design and optimization.

At present， most constitutive models can hardly describe the accelerated creep behavior of soft rocks and hard rocks at the same time. A generalized Burgers model is used as the basic one to reflect the creep viscoelastic-plastic mechanical behavior of rocks and its application range is verified. Based on the theory of damage mechanics， a new creep constitutive model of viscoelastic-plasticity is obtained by establishing a viscoelastic-plastic body considering aging damage in series with the generalized Burgers model. Taking the slope shale of a hydropower project as the research object， the triaxial compression creep test is carried out. The creep data of shale are identified by the model， the model parameters are solved， and the sensitivity analysis is carried out.Based on the triaxial creep data of different hardness and types of rocks in relevant literature， a three-dimensional Cvisc model is introduced to simulate and compare， and the theoretical and experimental curves are analyzed， which fully shows the rationality and applicability of the model. At present， most models can hardly reflect the accelerated creep characteristics of different rocks. The model can describe the creep behavior of different types of rocks by verification， and still have good identification ability for different accelerated creep curves. The results provide some reference for rock accelerated creep mechanical behavior simulation and long-term stability study of rock mass engineering.

To solve the contradiction between the cofferdam construction progress and the material land requisition and resettlement，the alternative solutions of the designed scheme is proposed during the construction of Yongning water control project 1st stage cofferdam of the dry season，optimized by construction simulation，technical and economic analysis methods. The hydraulic characteristics of the narrowed riverbed are investigated by 3D-numerical simulation and physical model test methods. The results show that when the axis is arranged between 7# and 8# gate pier of the dam body， the problem of navigation and scour prevention for the cofferdam can be resolved. The results provide an important basis for the construction of the 1st stage cofferdam of the dry season，thus decisively ensuring the construction progress of this project.

Because the outliers are inevitable in dam automation monitoring data， and the magnitude， quantity， and distribution of outliers are uncertain. So the manual deletion of outliers has a large workload and strong subjectivity. This method has a wide range of applications because it does not require sample learning based on feature tags. First of all， the trend item is extracted after the automatic monitoring data is decomposed and reconstructed. Then the obvious outliers in the remaining item are discriminated and eliminated by using the isolated forest algorithm. Finally， the other outliers are performed according to the Pauta criterion. Through the example verification， the method can meet the practical application of the project which can effectively detect the outliers of the dam automatic monitoring data and the false positive rate is low.

To study the hydraulic characteristics such as flow pattern， pressure distribution and local flow cavitation in the elbow， the Realizable k-ε turbulence model is used to simulate three dimensional flow field characteristics. The influence of Reynolds number， shape of transition section， curvature radius ratio and turning angle on the flow field in elbow are studied and analyzed. The results show that with the increase in the Reynolds number， the pressure on the inner side of the elbow decreases gradually and even negative pressure appears， which is prone to cavitation. In the case of the same Reynolds number， it is easier to separate the water flow from the inner side of the elbow by setting a transition section upstream of the elbow inlet， which results in negative pressure on the inner side of the elbow. And the distance from the transition section to the elbow inlet has little effect on the flow field in the elbow. With the decrease in curvature radius ratio， the pressure on the inner side of the elbow decreases. Reducing the turning angle can make the water distribution more uniform in the elbow， which can significantly reduce the negative pressure area in the elbow， and even avoid cavitation phenomenon.

Combined with a practical project， vibration field test of the floor slabs of a pumped storage power station under various working conditions is carried out to study the vibration characteristics of floor slabs. The results show that the vibrations of the floors are small and the frequency composition is stable under the steady-state operation conditions. However， the unsteady conditions such as 100% load rejection condition and pumping accident shutdown condition only last a few seconds， the structural vibration is very large， and the frequency composition is complex and unstable， while the time-dependent change of the dominant frequency corresponds with the change of unit rotating speed. Under steady-state operating conditions， the vibrations of the floor slab near the unit lower bearing bracket foundations are more obvious while the vibrations of floor slab near the unit flow passage are more obvious under load rejection conditions.

The multi-hole inverted siphon project has the advantages of the large flow rate accommodation and flexible scheduling. However， the non-uniform flow distribution among the holes directly affects the flow capacity and the flow regime， and even the large water level fluctuations， which can induce engineering vibration. Taking a three-hole inverted siphon project of a water transmission pipeline in a plain area as an example， this paper emphatically analyzes the distribution of the flow regime in inlet and outlet and the characteristics of water level fluctuation under the condition of multi-hole scheduling operation. The optimization plans are proposed to adjust the flow regime in the inlet and reduce the water level fluctuation. The influence of the emergency closing of the valve and the variation of roughness on the operation of inverted siphon project is discussed. The results can provide a reference for similar projects.

The protection areas were divided mainly by the analogical empirical method at the early stage， which could not accurately measure the water quality indicators and the situation of reaching the standard requirements. Based on the Technical Standard for Drinking Water Sources Reserve Division （HJ 338-2018）， this paper carries out the research on the protection zone division of Chaihe Reservoir drinking water source， EFDC is used to construct a two-dimensional water quality model of Chaihe Reservoir. The changes of water age and pollutant migration in Chaihe Reservoir are simulated， and the eutrophication risk and main water quality in front of the dam are analyzed to evaluate the rationality of the division of water source protection zone. The results show that the water age of Chaihe Reservoir and the hydraulic retention period are the longest in the dry season under the three typical years of abundant， average and dry seasons. The migration and attenuation of contaminants in the reservoir are simulated， the results indicate that the water quality at the intake can reach the requirements， under the abundant， average and dry seasons， respectively. The division of the first-grade protection zone of Chaihe Reservoir can ensure the water quality of the intake， it is reasonable to use the analogy experience method to divide the protection zone.

In view of the cyclical and volatile characteristics of urban water use， based on the monthly water supply sequence of 47 waterworks and 10 administrative regions in Shenzhen from 2015 to 2019. Considering the industrial structure， demographic characteristics， and time change factors of water supply， a coupling method of the KMeans clustering algorithm and seasonal moving average auto regressive （SMAAR） model is proposed. The model can cluster the time series of waterworks and administrative regions and model by category to forecast monthly water supply data for waterworks and administrative regions from January to August 2020. Then the total water supply data of Shenzhen from January to August 2020 is summarized. The results show that the smaller the scope of the modeling object， the smaller the relative error （RE） of the predicted result. The performance of SMAAR is significantly improved compared to ARMA， and it still shows strong generalization ability in the long-term forecast. The average RE of the daily forecast results for 254 days is only 0.08. The method of this study can provide a reference for water demand forecasting and water supply scheduling management in other cities.