On Optimal Control of Pollution Emissions: An Example of the Largest Industrial Enterprises of Irkutsk Oblast

Tur, Anna; Gromova, Ekaterina

doi:10.1134/s000511792003011x

Cited by 7 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accelerate the dredging, testing and rehabilitation of the sewerage network and complete the rehabilitation of the sewerage network such as fault excavation and repair in a timely manner. Improve the efficiency of supervision of sewage treatment plants, pipe networks and supporting equipment, continuously strengthen the automatic monitoring and early warning function, and complete the construction of online automatic monitoring capacity for major regional sewage projects and facilities; emphasise automated means and information technology to provide long-term, sustainable monitoring of project emissions and sewage, and ensure that wastewater data from major pollution sources and the operation of pollution control facilities are scientifically accurate [18].…”

Section: Wp Prevention Strategymentioning

confidence: 99%

Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model

2023

WPPCP

View full text Add to dashboard Cite

With the acceleration of economic development, the problem of water pollution (WP) has also become a problem for many countries around the world. In the process of development, many countries have experienced serious WP phenomena, which have had a very serious impact on the ecological environment. The main reason why people attach importance to the problem of WP is that water is indispensable for the development of society and the survival of human beings, and if serious WP problems occur, people's water safety will not be guaranteed. Based on the grey BP neural network (BPNN) model, this paper predicts the pollution emissions in 2023 for the industrial and livestock pollution emission coefficient of M city from 2016 to 2020. The results show that the combination of grey system theory and BPNN can effectively predict the WP emissions. Through analyzing the WP prevention and control problems in M city, this paper puts forward prevention and control strategies, hoping that this study can also provide reference and suggestions for WP control in other cities.

show abstract

Section: Wp Prevention Strategymentioning

confidence: 99%

Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model

2023

WPPCP

View full text Add to dashboard Cite

show abstract

“…The improvement of the ecological education system is conducive to popularizing the concept of environmental and ecological protection to the society, coordinating the contradiction between social development and environmental pollution at the public level, and promoting the construction of a sustainable society. The concept of plastic pollution and its prevention and control was incorporated into the content of ecological education, and the corresponding signals were disseminated to the public to promote the formation of public awareness of plastic pollution prevention and control [14]. Practical ecological education mainly strengthens ecological education by carrying out practical activities, so that participants can intuitively learn environmental protection knowledge.…”

Section: Carry Out Ecological Educationmentioning

confidence: 99%

Plastic Industry Development and Natural Environment Protection

2020

NEP

View full text Add to dashboard Cite

With the improvement of China's industrial manufacturing capacity and people's living standards, more and more plastic products appear in people's daily life. Because of the use and loss of plastic products, as well as the participation of plastic products in related industrial activities, the amount of micro plastics entering the environment is also increasing, both ecological health and human health are threatened. At present, the problem of plastic pollution in the environment is becoming increasingly serious worldwide. In order to reduce the harm of plastic pollution to the environment, this paper conducts a plastic ecological risk assessment on the sewage generated in the production process of a plastic industry, explores the potential risks of plastic pollution to the natural environment, can deeply understand the current situation of plastic pollution in the environment, and then uses SMBR process to treat plastic production sewage, analyzes the removal rate of CODcr. The results show that:, SMBR has a good removal effect on micro plastics, which provides a technical reference for the implementation of plastic pollution prevention.

show abstract

“…The problem with asymmetry in different random time instants has been studied for some differential games in References [1,[51][52][53]. A similar cake-eating problem with different asymmetric discounting functions has been considered in Reference [54].…”

Section: Introductionmentioning

confidence: 99%

“…To this end, we use standard actuarial results and notation, and state a connection between the so-called actuarial equivalence principle (see Chapter 6 in Reference [57], Section on Premium Calculation, Nonlife in References [46,58]), and the feedback controllers found by means of the Dynamic Programming technique. We will end-up showing that, as in References [4,[27][28][29], the agents are willing to pay for the coverage of the insurance, in both: the one player context (see References [15,16]), and the game theoretic case with asymmetries (see References [1,[51][52][53]); where the unbalance comes from the choice of different fat-tailed distributions for the terminal times of extraction of the agents (see References [50,56,59]).…”

Section: Introductionmentioning

confidence: 99%

Resource Exploitation in a Stochastic Horizon under Two Parametric Interpretations

2020

View full text Add to dashboard Cite

This work presents a two-player extraction game where the random terminal times follow (different) heavy-tailed distributions which are not necessarily compactly supported. Besides, we delve into the implications of working with logarithmic utility/terminal payoff functions. To this end, we use standard actuarial results and notation, and state a connection between the so-called actuarial equivalence principle, and the feedback controllers found by means of the Dynamic Programming technique. Our conclusions include a conjecture on the form of the optimal premia for insuring the extraction tasks; and a comparison for the intensities of the extraction for each player under different phases of the lifetimes of their respective machineries.

show abstract

On Optimal Control of Pollution Emissions: An Example of the Largest Industrial Enterprises of Irkutsk Oblast

Cited by 7 publications

References 13 publications

Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model

Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model

Plastic Industry Development and Natural Environment Protection

Resource Exploitation in a Stochastic Horizon under Two Parametric Interpretations

Contact Info

Product

Resources

About