In today’s world, the contradiction between water supply and demand is becoming increasingly pronounced, with a particular emphasis on the severe shortage of water for agricultural purposes. As a result, it has become imperative to promote the comprehensive reform of agricultural water pricing and increase water conservation awareness among water users. However, during the actual promotion process, the conflicting interests among stakeholders often create a behavioral game that seriously hinders the effective implementation of the agricultural water price reform. Therefore, it is crucial to address this conflict of interest and find ways to overcome it in order to ensure the successful implementation of the agricultural water pricing reform. In order to explore the dynamic evolution process of the behavior and decision making of the stakeholders in the comprehensive agricultural water price reform and the influencing factors and to propose relevant strategies to effectively promote the reform. This article constructs a three-party game model based on MA-PT theory with the government, farmers, and water supply units as the main subjects, solves the equation with the perceived benefit matrix instead of the traditional benefit matrix, and calculates the objective conditions for reaching the steady state. The simulation results show that the behavioral decision of the game subject to participate in the reform will be influenced by their perception of gains and losses, and there is a mutual influence between the three strategic choices. Therefore, the reform of agricultural water prices should consider the affordability of farmers and water supply units. The government appropriately adopts a reward system to encourage farmers and water supply units to actively participate in the reform to play a positive role and appropriate penalties for promoting the reform, the early realization of the reform goals, and the development of water-saving agriculture.

Earth and rock dams are subject to risks caused by uncertainties during operation and management, and the health condition of earth and rock dams in service must be determined in a timely manner to properly protect them. In order to evaluate the health condition of earth and rock dams easily, quickly, reliably and quantitatively, this paper proposes a health evaluation method based on the ANP unconfirmed measure theory, and gives specific evaluation steps. First, the risk evaluation index system of earth and rock dams was constructed from six aspects: engineering quality, operation and management, diffuse top damage, infiltration damage, destabilization damage, and other factors. Then, the risk value of the evaluation index is determined using the unconfirmed measure model by integrating multiple types of information such as numerical calculation, inspection and inspection, and test and inspection, and the index is weighted using ANP. Finally, a project is used as an arithmetic example to verify the scientific applicability of the method in the risk evaluation of earth and rock dam projects, which provides an important reference for the risk control and management of earth and rock dam projects.

Water network construction is one of the important ways to solve complex water problems at present. It is crucial for the optimal allocation of water resources, flood control, disaster reduction, protection of water ecology, water security, and sustainable urban development. Accordingly, this study formulates an index system for assessing the efficacy of water network construction based on the Driving Force–Pressure–State–Influence–Response (DPSIR) model, taking into account the four dimensions of optimal allocation of water resources, flood control and disaster reduction in river basins, protection of water ecosystems, and intelligent water network management. The proposed index system comprises four key aspects, which are utilized to evaluate the effectiveness of water network construction efforts. Then, the game-weighting method and the matter-element extension method improved by the cloud theory established an evaluation model to evaluate and compare the water network construction effects of the two cities in Henan Province. Finally, the GM (1,1) model was used to evaluate the water network construction effects, and future trends were predicted. The results show the following: (1) On the whole, the effect of water network construction in the two cities is constantly improving; (2) There has been a significant improvement in the intelligent management of water networks. The main reason for this result is that the “Internet +” has promoted the intelligent construction of water networks; (3) The water ecological environment, flood control, and drainage capabilities continued to improve, which has largely guaranteed the basic security bottom line of urban development space; (4) The advancement and utilization of water resources has undergone gradual improvements over time, with key impact metrics centered on water supply safety factors and the development and utilization of water resources. As water supply sources continue to diversify, it is expected that the aforementioned situation will be ameliorated in the future; (5) The predicted value shows that the water network construction of the two cities can basically meet the planned value of each index when the water network construction reaches the planning level. This paper provides help to promote the sustainable use of water resources and ensure the sustainable development of cities.