The security of water resources is the core content and ultimate goal of urban water resource management agencies. The management of water resources is directly related to the needs of urban residents’ lives and the area’s socio-economic development. How to determine the effective evaluation indicators and methods is an important prerequisite to solving the water resource security problem. This study took Luoyang City as the research area and constructed a water resource security evaluation index system based on pressure-state-response framework. An analytic hierarchy process and entropy weight method were used to determine the index weight. A set pair analysis model was then introduced to evaluate the security of water resources in Luoyang from 2006 to 2016. The results of this study show that the standard of water resource security generally improved in Luoyang in the latter years of the study period. From 2006 to 2008, Luoyang was graded at the Insecurity Level. This compares to a slightly improved grading of Critical Security Level from 2009 to 2016 (except for 2013). However, the overall grade is still low. The pressure on the Luoyang water resource system mainly comes from the development of the urban socio-economy, which in turn has caused problems for both the quantity and quality of water resources. Therefore, a series of countermeasures have been introduced as a means of improving the water resource security of Luoyang, and these measures have achieved certain results. However, further improvements to the efficiency of water resource utilization and strengthening the management and protection of water resources remain necessary.

The evaluation of the sustainable utilization of water resources is an important factor to measure whether the water resources can support the local coordinated development of population, economy and environment. Our study used Henan Province as the research area, which has a relative shortage of water resources (average water resources per capita, ≤400 m³). The Drivers, Pressures, State, Impact, Response (DPSIR) model was used to construct the evaluation index system, utilizing the entropy weight method and the Analytic Hierarchy Process (AHP) method to determine the index weight. The sustainable utilization of water resources in 18 cities of Henan Province from 2006 to 2015 was evaluated using the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model. The results show a steady upward trend, from worst to general, but there is a great difference between each city. The overall level was still on the low side, and the influence of each subsystem in the comprehensive index of the sustainable utilization of water resources varies. The evaluation results are basically in line with the actual situation of economic and social development in Henan Province, which has a guiding significance for improving the level of sustainable utilization of water resources in the region.

Urban rivers are valuable elements of urban ecosystems and play a key role in urban socio-economic development. Unfortunately, the functional integrity of urban rivers is being threatened by extensive human activities associated with the social development. Urban river health evaluation is important, as it may provide policy makers with information that is fundamental for river governance and the protection of urban ecosystems. To this purpose, we first constructed an urban river health assessment index system based on the pressure–state–response (PSR) framework. Secondly, we developed an urban river health index (uRHI) using the improved fuzzy matter–element extension assessment model. Finally, we used the uRHI to assess the health state of the Jialu River from 2008 to 2017 in Zhengzhou City, China. The results indicate that the health state of the Jialu River was improved from an unhealthy state in 2008 to a sub-healthy state in 2017. The pressure, state, and response subsystems developed towards a healthier state from 2008 to 2017, thanks to the implementation of a number of actions by the local government. However, the overall health status of the Jialu River is still relatively low. The Jialu River also faces several pressures, such as substantial Chemical Oxygen Demand (COD) emissions and sewage discharge. This paper concludes that it is necessary to further strengthen the health management of the Jialu River and the protection of Zhengzhou’s water environment.

In view of the complexity and uncertainty of water resources, this paper chooses an evaluation index system of 13 indicators based on the fuzzy mathematics model in three aspects: water resources, water quality and socioeconomic status. The entropy method was used to determine the weight of the index, and the water resource value of Nanjing in 2011–2015 was dynamically evaluated. The results show that the price of water resources in Nanjing from 2011 to 2015 rose from 3.43 yuan/m³ to 5.94 yuan/m³, showing a clear upward trend, but the corresponding price of water expenditure accounted for a proportion of disposable income from 2.27% to 1.87% during the same time period. This counterfactual trend proves that the current water price in Nanjing is relatively low and is not conducive to the efficient use of water resources. Given the fact that water prices have larger room for growth, the city government could initiate the reform of water pricing system and re-enact the water fee collection standards to achieve optimal allocation of water resources and sustainable development.

To reduce groundwater overexploitation and alleviate water shortages, market mechanisms are introduced to allocate water rights. Scientific and reasonable pricing of groundwater rights is key to ensuring the effectiveness of the groundwater market. Because of the complexity and uncertainty of water resources, this study calculates the price of groundwater rights based on the value of water resources with an evaluation indicator system. The system includes 14 indicators developed with a fuzzy mathematics model addressing three dimensions: environment, society, and economy. The weights of the indicators are determined through the analytic network process (ANP) and the entropy method. The results show that the price of groundwater rights in Ningxia, China increased from 5.11 yuan/m³ to 5.73 yuan/m³ between 2013 and 2017; this means the price was basically stable, with a slight increase. The ratio of residents’ water fee expenditures to real disposable income also remained essentially stable, fluctuating around 0.37%, far below the normal level. These data demonstrated that the current regional water price policy does not reflect the true value of groundwater resources; there is room to increase urban water prices. Local governments need speed up water price system reforms and adopt water rights systems to optimize water resource allocations.