Big data technology framework and data utilization for urban environmental pollution management

The in-depth promotion of environmental pollution prevention and control is a must for China to move towards green development, and the effectiveness of urban environmental pollution control largely depends on the selection of these environmental policies and the synergistic application of these policies. This paper empirically tests three environmental policies’ mixed and synergistic effects using Chinese urban data from 2000 to 2017. This study found that (1) the three environmental policies significantly curb urban environmental pollution and show synergistic effects. (2) The three types of environmental policies can have a superimposing effect by strengthening financial inputs and increasing environmental concern, as well as a complementary effect by improving the efficiency of environmental protection enforcement and the institutional environment. The synergy between the central environmental protection inspection policy and the environmental information disclosure policy is more of a superposition effect than a complementary effect due to the similarity of the policy objectives. (3) The synergistic effect of environmental policies is affected by factors such as the age of the principal officials and financial pressure. The younger the age of the principal officials and the cities with less financial pressure are more capable of utilizing the synergistic effect of environmental policies to form a situation where the market, the government, the public, and the enterprises work together to govern the city. This paper provides new ideas for exploring the synergies and mechanisms of environmental policies and theoretical references for the design, implementation, and effects of environmental policy portfolios in the 14th Five-Year Plan period.

The process of economic building and growth, as well as human production and living, results in a significant amount of pollutants and trash generation as urban populations become denser. Urban environments can only self-purify so much before being severely polluted and degraded, which has a negative impact on both human health and urban landscape. The contradictions between population, resources, environment, and economic development have become more pronounced with the speeding up of industrialization, and the quality of the urban environment has also shown a trend of gradual deterioration, which severely limits the sustainable growth of cities. Due to this, the issue of urban environmental pollution has drawn increasing attention, and a growing number of urban environmental pollution management methods have been implemented. In this context, this paper briefly introduces the types of urban environmental pollution such as air pollution, water pollution, etc., and mainly introduces the impact of various pollutions, among which the impact on human health is the most serious. And pointed out various measures to control pollution. Finally, this paper emphasizes that the current methods of controlling urban environmental pollution are not perfect, and more experimental research is needed to obtain more efficient treatment methods, so that urban environmental pollution can be controlled more efficiently in the future.

Urban and industrial environmental pollution control in China: An analysis of capital input, efficiency and influencing factors

Nowadays, water pollution has become a major factor restricting social development. To address this, the government has issued a series of policy documents to control water environmental pollution and achieved certain results. However, on the whole, the prevention and control of the pollution of water environments requires a large amount of capital investment, but the corresponding results and benefits are not significant. Hence, this paper takes Shanghai, Nanjing, Hangzhou, and Hefei as examples to study the financial cost-effectiveness of the governance of urban water environments from the two dimensions of time and space. It is concluded that the cost of water environmental treatment has a negative effect on the comprehensive benefit of environmental treatment in the region in the short term and a positive effect in the long term, which indicates that water environmental pollution treatment is work that needs to be adhered to for a long time, and long-term planning is also needed for cost input. On this basis, strategies to improve the cost efficiency of water pollution treatment are presented.

Due to increasingly serious urban pollution, this paper proposes an environmental pollution prevention and control system in combination with Internet of things. The system transfers data through the Internet, which also utilizes sensor, pH sensor and smoke sensor to obtain environmental data. Besides, combined with the video data acquired through monitoring, the data are transferred to data center to analyze the haze pollution, water pollution and fire disaster in environment. According to the results, multi-purpose vehicles are mobilized to complete the tasks such as spraying water to relieve haze, water source purification and fire fighting in city environment. Experiments show that the environmental pollution prevention and control system designed in this paper can automatically complete the urban environmental pollution detection, prevention and control, which thus reduces human and material resources and improves the efficiency of pollution prevention and control. Therefore, it possesses greatly practical significance to the construction of smart city.

Urban environmental pollution and its control is one of the issues to be studied in the development of modern cities. It has strong pertinence and feasibility to guide the urban development in China that how the relevant theories will be used to analyze the current situation and causes of urban environmental pollution and to explore the countermeasures for environmental pollution control, thus realizing the coordination of urban environmental development and economic and social development and even achieving the sustainable development. Urban environmental pollution and its control is one of issues to be solved in the development of modern cities. Subject to the rapid economic development, the urban development process, the urban population and the ecological environment pressure are all constantly increasing, resulting in the aggravation of urban-centere d pollution, especially in the economically developed and populous large-and-medium-sized cities. It is those factors that constantly influence the development of urban economy and society. It is an important issue directly related to the sustainable development of city economy that how the relevant theories will be used to analyze the current situation and causes of urban environmental pollution and to propose the countermeasures for environmental pollution control, thus realizing the coordination of urban environmental and economic development. Therefore, from the perspective of the analysis of the current situation and causes of urban environmental pollution, this paper comprehensively describes the countermeasures for environmental pollution control to ensure the sustainable development of urban economy in China.

Optimal configuration of low impact development practices for the management of urban runoff pollution under uncertainty

The intersection of energy, environment, and industry presents distinct challenges and opportunities in rural and urban settings, highlighting disparities in access, impact, and policy effectiveness. This paper examines the systemic inequities between rural and urban regions in the transition to a sustainable energy future. It explores how policies and technologies can promote a just transition that ensures equitable economic development, environmental protection, and energy access for all communities. The key findings reveal that the average urban environmental pollution has transitioned from 10.1574 in 2007 to 8.9540 in 2022, indicating an improvement over time. From 2007 to 2022, the average level of rural environmental pollution has transitioned from 15.1123 in 2007 to 14.2675 in 2022, suggesting an improvement in performance over the specified timeframe. This shows that rural environmental pollution (14.8442) is more serious than urban environmental pollution (9.0892), even though rural environmental pollution is constantly improving. Regarding driving factors affecting urban and rural environmental pollution, we illustrate that energy consumption and environmental protection investment are important factors through which environmental regulation influences urban environmental pollution, while only environmental protection investment is an important factor through which environmental regulation influences rural environmental pollution. The findings suggest that only in the western region do stronger environmental regulations significantly reduce urban pollution, while strengthening environmental regulations improves rural pollution across all three regions, with the most pronounced effect in the west. By integrating quantitative and policy analysis, the study proposes inclusive strategies that balance economic resilience, social justice, and environmental sustainability, fostering a fair transition toward a low-carbon future.

As an important part of urban environment, urban traffic environment is one of the key factors that cause urban environment pollution. This kind of pollution is comprehensive and involves natural environment, ecological environment, social environment and humanistic landscape, even people's mentality, etc. So it is a complicated system engineering to solve the urban traffic environmental problems, and traffic environment improvement is crucial for the urban environmental management. In this paper, the author illustrates the opinion of considering policy, regulation, management, technology and culture in urban environmental management, meanwhile, we should advocate green traffic, cultivate noble urban traffic culture, make the urban traffic convenient for people's living and working, so it can maintain the harmonious environment and realize the harmonious development between human and nature. As an important part of social economic activities, urban traffic imposes a significant influence on the overall image of the city and plays an important role in urban development. Therefore, urban traffic environment is one of the key resources that cause urban environment pollution. This kind of influence is all-around related to natural environment, ecological environment, social environment, humanistic landscape, and people's mentality. It is common knowledge that the performance of traffic in urban should be within the state of balance, coordination and order, just as the blood in human body. Otherwise the road of city will be chaotic and the other functions of the city can be restricted.

Browning the bank: The World Bank's growing investment in urban environmental management

As one of the three provinces in Northeast China, Liaoning Province is one of the major industrial provinces. With the development of industrialization, the urban environmental pollution in Liaoning Province is becoming more and more serious, which has brought a huge impact on people's daily lives. In order to strengthen the monitoring of urban pollution, this paper proposes a study on the intelligent monitoring platform for urban pollution in Liaoning Province based on big data. This paper combines big data and intelligent monitoring technology to study the intelligent monitoring platform for urban pollution in Liaoning Province based on big data. The monitoring of air pollution in a city in Liaoning Province through simulation experiments verified the reliability of this platform. This paper finds that the average response time of the Liaoning Province's urban pollution intelligent monitoring platform based on big data proposed in this paper is 2.142 seconds, the transaction passing rate is 100%, and the platform performance test can pass. Through this platform, online real-time monitoring and remote control can be carried out in real time to grasp the dynamic changes of the environment, so that environmental problems can be found and treated in a timely manner, the environmental protection department's ability to prevent and control environmental pollution can be effectively improved, and it can also provide future urban pollution monitoring research.

Based on the rapid development of green finance and the panel data of 30 provinces in China (excluding Tibet, Taiwan, Hong Kong and Macao) from 2007 to 2020, to deeply discuss the relationship between financial development (FD), technological innovation and environmental pollution (EP) control is the centre of this article by using panel fixed-effect and intermediary effect model. The influence of FD on EP is tested by building a benchmark regression model. In addition, the intermediary effect model is adopted to explore how FD affects EP control through technological innovation mechanism. The conclusions show that China’s FD can effectively promote regional EP control on the whole, and FD can improve EP through technological innovation mechanism, but there is significant regional heterogeneity: compared with high government intervention areas, FD can promote EP control through technological innovation in low government intervention areas. Therefore, it is suggested that all regions promote the construction of financial infrastructure, upgrade the level of regional financial marketisation, speed up the realisation of regional technological innovation and EP control. This work is conducive to the formulation of appropriate government policies to promote the improvement of the financial system and the establishment of innovative mechanisms, and the reasonable reduction of government intervention and the improvement of the efficiency of financial resource allocation based on the needs of financial market players.

Since the reform and opening up in the last century, many cities in China have entered the rapid stage of development, at the same time, the problem of urban water environment pollution has become increasingly prominent. Good water environment is the basic guarantee of the healthy and harmonious development of the city, therefore, people begin to invest a lot of energy on how to control the polluted water of the city reasonably and efficiently. In this paper, the present situation of water environment in most cities of our country is summarized, and the main technical measures and their advantages and disadvantages of urban polluted water treatment in the past are briefly analysed. And it further expounds on how to integrate landscape ecological construction technology into the treatment of urban polluted water in details in order to provide reference for the future urban water environment management.

With the recent technological advancements, such as the internet, big data, and cloud computing, China’s digital economy plays a significant role in economic development. However, the digital economy may also affect the environmental quality, but the prevailing literature is scant on how the digital economy affects urban environmental pollution. To fill this gap, this study established an urban digital economy index system based on 277 prefecture-level cities in China and calculated their digital economy indicators from 2011 to 2019. Using a two-way fixed effects model, a mediation effect model and a moderation effect model, a multi-dimensional empirical test is conducted to determine the impact of the digital economy on urban pollution effects and internal mechanisms. Empirical results indicate that the digital economy significantly reduces urban pollutant emissions and shows spatial heterogeneity. After a series of robustness tests and endogenous analysis, our findings are consistent. The mechanism test results reveal that the digital economy can help mitigate pollution emissions through improved industrial structure, promotion of green innovation, and financial development. Further, the empirical results also demonstrate that government intervention can significantly enhance the negative environmental impact of the digital economy. Moreover, the findings from the heterogeneity test (i.e., city size, time, and space heterogeneity) show that the development of the digital economy is more significant in reducing urban pollution in large and eastern coastal cities. While the digital economy development policy impact of the digital economy on reducing pollution has been found after being adjusted by the national strategy. Our study enriches the research regarding the causes and mechanisms of environmental pollution, provides empirical evidence that the digital economy contributes to pollution control and provides decision-making references for enabling the growth of the digital economy and maximizing its pollution reduction power.

An excellent ecological environment is conducive for improving economic benefits and social benefits. The environmental pollution control requires the cooperation of governments at all levels and a large amount of capital investment. However, under the system with Chinese characteristics, the intergovernmental relations present complex and dynamic characteristics: the central government is authoritative, the local governments are obedient and self‐interested, and the environmental pollution control usually involves multiple government departments, while it has strong externality, which makes it easy to breed “free rider” behavior in the process of environmental pollution control. Therefore, the cross‐regional environmental pollution control cooperation model of governments at all levels is a complex and worthwhile research problem. Based on this, the paper studies a tripartite game problem of environmental pollution control from both horizontal and vertical intergovernmental relations. The Hamilton–Jacobi–Bellman equation was used to obtain the optimal effort strategy, environmental pollution control level, and environmental pollution losses under the Nash game model, the Stackelberg game model, and the Cooperative game model. The results show the following: firstly, the governments’ environmental pollution control efforts are positively related to their own execution ability and influence ability and negatively related to the cost coefficient; secondly, from the perspectives of environmental pollution control level and environmental pollution losses, the Cooperative game model is superior to the Nash game model and the Stackelberg game; thirdly, this paper analyzes the relationship between the loss‐bearing ratio, the special financial funds, the effort level of government, and the environmental pollution control level; finally, the conclusions are verified by numerical analysis, which proves the validity of the models.