Abstract The potential of laser ablation microwave induced plasma optical emission spectrometry (LA-MIP OES) for the analysis of plastic materials has been investigated. Inorganic species, e.g., metals may be added to them as additives, anti-oxidising agents, stabilisers, plasticisers, colorants and catalytic residues, contaminants and may be present in a wide range of concentrations. The study revealed elevated content of trace elements (Cd, Pb and Zn) which are components of poly(vinyl chloride) (PVC) and polyethylene (PE). Laser ablation using wavelengths of 266 nm as a sampling method for MIP OES was used. The result achieved using elaborated system were compared with those obtained after polymer samples decomposition in high pressure-temperature focused microwave heating digestion system and standard sample pneumatic nebulisation (PN) to MIP OES spectrometer. The calibration strategy using cellulose pellets as support for qualitative analysis for element determination in polymers by LA-MIP OES was proposed. This analytical performance of the LA-MIP OES system was characterised by a determination of the limits of detection (LODs) and precision (RSDs) for elements tested. The experimental concentration detection limits for simultaneous determination, calculated as the concentration giving a signal equal to three times of the standard deviation of the blank (LOD, 3σblank criterion, peak height) were 2 µg g−1, 3 µg g−1 and 5 µg g−1 for Cd, Pb and Zn, respectively. The method offers relatively good precision (RSD ranged from 3 % to 5 %) for micro sampling analysis.
{"title":"Determination of Cd, Pb and Zn in Polymers by Laser Ablation Microwave Induced Plasma Optical Emission Spectrometry","authors":"M. Ślachciński, Michał Janeda, H. Matusiewicz","doi":"10.2478/eces-2023-0035","DOIUrl":"https://doi.org/10.2478/eces-2023-0035","url":null,"abstract":"Abstract The potential of laser ablation microwave induced plasma optical emission spectrometry (LA-MIP OES) for the analysis of plastic materials has been investigated. Inorganic species, e.g., metals may be added to them as additives, anti-oxidising agents, stabilisers, plasticisers, colorants and catalytic residues, contaminants and may be present in a wide range of concentrations. The study revealed elevated content of trace elements (Cd, Pb and Zn) which are components of poly(vinyl chloride) (PVC) and polyethylene (PE). Laser ablation using wavelengths of 266 nm as a sampling method for MIP OES was used. The result achieved using elaborated system were compared with those obtained after polymer samples decomposition in high pressure-temperature focused microwave heating digestion system and standard sample pneumatic nebulisation (PN) to MIP OES spectrometer. The calibration strategy using cellulose pellets as support for qualitative analysis for element determination in polymers by LA-MIP OES was proposed. This analytical performance of the LA-MIP OES system was characterised by a determination of the limits of detection (LODs) and precision (RSDs) for elements tested. The experimental concentration detection limits for simultaneous determination, calculated as the concentration giving a signal equal to three times of the standard deviation of the blank (LOD, 3σblank criterion, peak height) were 2 µg g−1, 3 µg g−1 and 5 µg g−1 for Cd, Pb and Zn, respectively. The method offers relatively good precision (RSD ranged from 3 % to 5 %) for micro sampling analysis.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77565746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Nowak, P. Świsłowski, S. Świerszcz, S. Nowak, M. Rajfur, M. Wacławek
Abstract The intensive exploitation of natural resources, expansion of human population and degradation of natural and semi-natural habitats, caused among others by agriculture, forestry and urbanisation, enforce special care for the natural resources, especially the disappearing types of vegetation that are refugees of biodiversity. One of the most threatened plant communities are grasslands (pastures and meadows), which has suffered the most in recent decades due to the intensification of agriculture and the transformation of land use. The purpose of this paper is to propose a hybrid approach to clean energy production on photovoltaic (PV) farms, taking into account the needs of grassland conservation and restoration. Nine sets of sciophilous species are proposed, including grasslands rich of pollinator benefits, grasslands with low pollen production to maintain high electrical efficiency of panels, and rich, standard meadows in wet (Molinion, Calthion, Alopecurion, Cnidion), fresh (Arrhenatherion) and dry (Cirsio-Brachypodion) types. The combination of clean energy and grassland conservation has been called ecovoltaics (EV) because it combines the production of renewable electricity with care for the diversity of valuable grassland ecosystems. The research will continue on an experimental ecovoltaic farm with innovative technical solutions to effectively maintain the desired meadow species composition. The purpose of this study was to analyse and select plant species that could be introduced into areas where PV cells are installed under climatic conditions in southern Poland. Using databases, environmental and ecological factors were taken into account. As a result of the study, a list of 206 species was selected that could be introduced to areas where they will coexist with PV panels, taking into account the effect of shading. The developed selection of these plant species provides a starting point for future work by botanists and engineers seeking to increase the biodiversity of sites where PV panels will be placed.
{"title":"Ecovoltaics - A Truly Ecological and Green Source of Renewable Goods","authors":"A. Nowak, P. Świsłowski, S. Świerszcz, S. Nowak, M. Rajfur, M. Wacławek","doi":"10.2478/eces-2023-0032","DOIUrl":"https://doi.org/10.2478/eces-2023-0032","url":null,"abstract":"Abstract The intensive exploitation of natural resources, expansion of human population and degradation of natural and semi-natural habitats, caused among others by agriculture, forestry and urbanisation, enforce special care for the natural resources, especially the disappearing types of vegetation that are refugees of biodiversity. One of the most threatened plant communities are grasslands (pastures and meadows), which has suffered the most in recent decades due to the intensification of agriculture and the transformation of land use. The purpose of this paper is to propose a hybrid approach to clean energy production on photovoltaic (PV) farms, taking into account the needs of grassland conservation and restoration. Nine sets of sciophilous species are proposed, including grasslands rich of pollinator benefits, grasslands with low pollen production to maintain high electrical efficiency of panels, and rich, standard meadows in wet (Molinion, Calthion, Alopecurion, Cnidion), fresh (Arrhenatherion) and dry (Cirsio-Brachypodion) types. The combination of clean energy and grassland conservation has been called ecovoltaics (EV) because it combines the production of renewable electricity with care for the diversity of valuable grassland ecosystems. The research will continue on an experimental ecovoltaic farm with innovative technical solutions to effectively maintain the desired meadow species composition. The purpose of this study was to analyse and select plant species that could be introduced into areas where PV cells are installed under climatic conditions in southern Poland. Using databases, environmental and ecological factors were taken into account. As a result of the study, a list of 206 species was selected that could be introduced to areas where they will coexist with PV panels, taking into account the effect of shading. The developed selection of these plant species provides a starting point for future work by botanists and engineers seeking to increase the biodiversity of sites where PV panels will be placed.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"93 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80886322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In this paper, the separation technology of components of waste pharmaceutical blisters and its adaptation to the industrial scale are described. It involved, among others, taking advantage of the phenomenon of difference in the density of the individual phases that were contained in the separation tank, i.e., the separating mixture, PVC plastics, and aluminium. As a result, the directions of movement of the separated blister components were opposite. All components of the separating mixture feature a similar surface tension (γ > 20 mN/m) which facilitates the penetration of the liquid between the blister component layers. After separation, the full-value products, i.e. polyvinyl chloride (PVC) and aluminium are obtained. The resulting products can be further processed and the entire technological process is a waste-free. PVC can be melted and processed into other products e.g. plastic components for the construction industry. Pure aluminium is a metal sought after and widely used in industry due to its low specific weight. An additional element supplementing the technology is the separation tank of our design in which the separation process of the blister components takes place. The advantage of the separation tank is that the separation process can be repeated many times with the same separating mixture until it is exhausted. Both separated blister components are directed to filtering followed by air drying without a mixing PVC plastic with aluminium.
{"title":"Separation Technology of Components of Waste Pharmaceutical Blisters","authors":"E. Miękoś, M. Zieliński, D. Sroczyński, A. Fenyk","doi":"10.2478/eces-2023-0034","DOIUrl":"https://doi.org/10.2478/eces-2023-0034","url":null,"abstract":"Abstract In this paper, the separation technology of components of waste pharmaceutical blisters and its adaptation to the industrial scale are described. It involved, among others, taking advantage of the phenomenon of difference in the density of the individual phases that were contained in the separation tank, i.e., the separating mixture, PVC plastics, and aluminium. As a result, the directions of movement of the separated blister components were opposite. All components of the separating mixture feature a similar surface tension (γ > 20 mN/m) which facilitates the penetration of the liquid between the blister component layers. After separation, the full-value products, i.e. polyvinyl chloride (PVC) and aluminium are obtained. The resulting products can be further processed and the entire technological process is a waste-free. PVC can be melted and processed into other products e.g. plastic components for the construction industry. Pure aluminium is a metal sought after and widely used in industry due to its low specific weight. An additional element supplementing the technology is the separation tank of our design in which the separation process of the blister components takes place. The advantage of the separation tank is that the separation process can be repeated many times with the same separating mixture until it is exhausted. Both separated blister components are directed to filtering followed by air drying without a mixing PVC plastic with aluminium.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84982363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Liu, S. Tsai, Chia-Huei Wu, Xuefeng Shao, M. Wacławek
{"title":"Corporate Environmental Management with Digital Transformation: Theory and Applications","authors":"Wei Liu, S. Tsai, Chia-Huei Wu, Xuefeng Shao, M. Wacławek","doi":"10.2478/eces-2023-0014","DOIUrl":"https://doi.org/10.2478/eces-2023-0014","url":null,"abstract":"","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"41 1","pages":"155 - 157"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83014040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The establishment of digital infrastructure embodies a pivotal instrument in propelling developmental metamorphosis, whilst fostering energy preservation and emission abatement. By employing municipal-level data spanning the period from 2009 to 2019, this research establishes a quasi-natural experiment anchored upon the “Broadband China” strategy. Employing the Difference-in-Differences (DID) methodology, this inquiry thoroughly examines the influence of digital infrastructure construction on the alleviation of carbon emissions. The findings indicate that the implementation of digital infrastructure exerts a notable impact on the reduction of carbon emissions. Moreover, carbon emission reduction resulting from digital infrastructure construction exhibits distinctive characteristics of heterogeneity. The empirical evidence presented within this study serves as a fundamental cornerstone for attaining the objectives of carbon peaking and carbon neutrality.
{"title":"Carbon Emission Reduction Effect of Digital Infrastructure: From the “Broadband China” Strategy","authors":"Yao Feng, Luosha Li, Hong Chen","doi":"10.2478/eces-2023-0030","DOIUrl":"https://doi.org/10.2478/eces-2023-0030","url":null,"abstract":"Abstract The establishment of digital infrastructure embodies a pivotal instrument in propelling developmental metamorphosis, whilst fostering energy preservation and emission abatement. By employing municipal-level data spanning the period from 2009 to 2019, this research establishes a quasi-natural experiment anchored upon the “Broadband China” strategy. Employing the Difference-in-Differences (DID) methodology, this inquiry thoroughly examines the influence of digital infrastructure construction on the alleviation of carbon emissions. The findings indicate that the implementation of digital infrastructure exerts a notable impact on the reduction of carbon emissions. Moreover, carbon emission reduction resulting from digital infrastructure construction exhibits distinctive characteristics of heterogeneity. The empirical evidence presented within this study serves as a fundamental cornerstone for attaining the objectives of carbon peaking and carbon neutrality.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"19 1","pages":"283 - 289"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84447311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Dynamic features from remote sensing photos may be successfully extracted using deep learning and symmetric network structure, which can then be used to direct them to carry out accurate classification. The DBN model can more effectively extract features from photos since it uses unsupervised learning. It can be reduced to the many symmetric Restricted Boltmann Machines (RBM) training problem. In this paper, a soil rocky desertification (RD) assessment model based on a deep belief network (DBN) is created in light of the complicated influencing aspects of Karst RD risk assessment encompassing several geographical elements. The model builds upon the conventional RBM framework and incorporates the influence layer of related elements as an auxiliary requirement for retrieving Geographic Information System (GIS) score data. Then, in order to forecast the level of soil rocky desertification, it learns the features of many elements. The experimental results show that the proposed model proposed in this paper has better prediction performance and faster convergence speed, and its classification results for different degrees of RD are more consistent with the actual risk assessment results.
{"title":"Evaluation of Soil Rocky Desertification in Karst Region Based on Deep Belief Network","authors":"Guanyao Lu, Dan Xu, Y. Meng","doi":"10.2478/eces-2023-0016","DOIUrl":"https://doi.org/10.2478/eces-2023-0016","url":null,"abstract":"Abstract Dynamic features from remote sensing photos may be successfully extracted using deep learning and symmetric network structure, which can then be used to direct them to carry out accurate classification. The DBN model can more effectively extract features from photos since it uses unsupervised learning. It can be reduced to the many symmetric Restricted Boltmann Machines (RBM) training problem. In this paper, a soil rocky desertification (RD) assessment model based on a deep belief network (DBN) is created in light of the complicated influencing aspects of Karst RD risk assessment encompassing several geographical elements. The model builds upon the conventional RBM framework and incorporates the influence layer of related elements as an auxiliary requirement for retrieving Geographic Information System (GIS) score data. Then, in order to forecast the level of soil rocky desertification, it learns the features of many elements. The experimental results show that the proposed model proposed in this paper has better prediction performance and faster convergence speed, and its classification results for different degrees of RD are more consistent with the actual risk assessment results.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"40 1","pages":"167 - 173"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76676820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Weijie Hu, Youfei Zhou, Junying Lu, Jun Sheng, Zechen Jin
Abstract Improper disposal of municipal sewage sludge poses a significant threat to effective environmental protection. With the continuous advancement of artificial intelligence technology and the Internet of Things (IoT), remote sensing detection technology is emerging as a promising research avenue to address this issue. However, the current state of real-time detection technology is inadequate, hindering comprehensive and stable monitoring operation. Additionally, the rational use of network resources remains suboptimal. To address this challenge, this study proposes a resource optimisation technology for the current insufficient intelligent monitoring system of urban sewage sludge. By leveraging IoT and wireless technology, water meter data can be collected with minimal earth construction compared to traditional PLC collection. This is followed by utilising Faster R-CNN to plan the network transmission of sewage remote sensing information resources. Finally, the architecture collection module’s scalability is enhanced by incorporating edge computing and reserving sensor ports to meet future plant expansion demands. The experiment demonstrates the significant potential of this technology in application and resource optimisation. In actual parameter tracking tests, the proposed method effectively monitors sewage sludge, providing policy guidance and measure optimisation for relevant authorities, ultimately contributing to pollution-free urban development.
{"title":"Remote Sensing Detection and Resource Utilisation of Urban Sewage Sludge Based on Mobile Edge Computing","authors":"Weijie Hu, Youfei Zhou, Junying Lu, Jun Sheng, Zechen Jin","doi":"10.2478/eces-2023-0029","DOIUrl":"https://doi.org/10.2478/eces-2023-0029","url":null,"abstract":"Abstract Improper disposal of municipal sewage sludge poses a significant threat to effective environmental protection. With the continuous advancement of artificial intelligence technology and the Internet of Things (IoT), remote sensing detection technology is emerging as a promising research avenue to address this issue. However, the current state of real-time detection technology is inadequate, hindering comprehensive and stable monitoring operation. Additionally, the rational use of network resources remains suboptimal. To address this challenge, this study proposes a resource optimisation technology for the current insufficient intelligent monitoring system of urban sewage sludge. By leveraging IoT and wireless technology, water meter data can be collected with minimal earth construction compared to traditional PLC collection. This is followed by utilising Faster R-CNN to plan the network transmission of sewage remote sensing information resources. Finally, the architecture collection module’s scalability is enhanced by incorporating edge computing and reserving sensor ports to meet future plant expansion demands. The experiment demonstrates the significant potential of this technology in application and resource optimisation. In actual parameter tracking tests, the proposed method effectively monitors sewage sludge, providing policy guidance and measure optimisation for relevant authorities, ultimately contributing to pollution-free urban development.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"13 1","pages":"275 - 282"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90758590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Based on fully absorbing and learning from the relevant research results at home and abroad, this paper focuses on four aspects: the transfer of polluting industries in the central and western regions and residents’ health problems. Firstly, the current pattern and development trend of regional pollution transfer in China; secondly, the economic effect of the transfer of polluting industries on the western undertaking areas; finally, from the micro and macro perspectives, the paper investigates the impact of the transfer of polluting industries on the individual health and health expenditure of residents in western China. The results show that the gap between industrial environmental and economic efficiency in the western region narrowed and gradually stabilised from 2008 to 2017. However, the gap between industrial environmental efficiency and economic efficiency in the western region widened from 2017 to 2020. The impact of environmental pollution on industrial environmental efficiency in the western provinces and regions has regional differences. Secondly, the present situation and trend of pollution control in western China are macroscopically investigated by comparing the output of general industrial solid waste and the investment in pollution control in different regions. Finally, this paper reveals the impact of the transfer of polluting industries on the health of residents in western China. Based on the characteristics of household category, age, and income of interviewees, the income growth effect of the transfer of polluting industries is less than the health loss caused by the transfer of pollution. It can be found that the transfer of polluting industries has a significant impact on the environment, economy, and the health of residents in western China.
{"title":"One Belt and One Road Impact on Environment, Economy & Health in Western China Through Industry Transfer","authors":"Kai Wang, Ao-Dong Wang","doi":"10.2478/eces-2023-0020","DOIUrl":"https://doi.org/10.2478/eces-2023-0020","url":null,"abstract":"Abstract Based on fully absorbing and learning from the relevant research results at home and abroad, this paper focuses on four aspects: the transfer of polluting industries in the central and western regions and residents’ health problems. Firstly, the current pattern and development trend of regional pollution transfer in China; secondly, the economic effect of the transfer of polluting industries on the western undertaking areas; finally, from the micro and macro perspectives, the paper investigates the impact of the transfer of polluting industries on the individual health and health expenditure of residents in western China. The results show that the gap between industrial environmental and economic efficiency in the western region narrowed and gradually stabilised from 2008 to 2017. However, the gap between industrial environmental efficiency and economic efficiency in the western region widened from 2017 to 2020. The impact of environmental pollution on industrial environmental efficiency in the western provinces and regions has regional differences. Secondly, the present situation and trend of pollution control in western China are macroscopically investigated by comparing the output of general industrial solid waste and the investment in pollution control in different regions. Finally, this paper reveals the impact of the transfer of polluting industries on the health of residents in western China. Based on the characteristics of household category, age, and income of interviewees, the income growth effect of the transfer of polluting industries is less than the health loss caused by the transfer of pollution. It can be found that the transfer of polluting industries has a significant impact on the environment, economy, and the health of residents in western China.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"11 1","pages":"201 - 207"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85374089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Skiing depends on the external environment, in which material, energy and information are frequently exchanged, and this external environment greatly affects the quality of skiing’s existence. In this article, an ecosystem assessment algorithm based on ANN (Artificial Neural Network) is put forward. Based on this, a skiing development model under the influence of ecosystem factors is constructed to explore the influence of ecosystem factors on skiing development. The simulation results show that after many iterations, the error of this method is better than that of the comparison algorithm in ecosystem analysis, with the error reduced by 28.17 % and the recall rate reaching 94.65 %, which is improved by 16.88 % compared with the comparison algorithm. Therefore, this model can provide theoretical support for studying the influence of ecological and environmental factors on the growth of skiing. Based on the analysis of the characteristics of the regional landscape ecosystem, the eco-environmental impact assessment of the ski resort project predicts the impact of project construction on the regional landscape ecosystem. It explores ways and means to maintain the ecological integrity of the natural system to carry out project construction on the premise of protecting the local ecosystem and building a natural and artificial composite landscape ecosystem with reasonable structure and high efficiency.
{"title":"The Influence of Ecoenvironment Factors on the Development of Skiing","authors":"Xiao Zhang","doi":"10.2478/eces-2023-0022","DOIUrl":"https://doi.org/10.2478/eces-2023-0022","url":null,"abstract":"Abstract Skiing depends on the external environment, in which material, energy and information are frequently exchanged, and this external environment greatly affects the quality of skiing’s existence. In this article, an ecosystem assessment algorithm based on ANN (Artificial Neural Network) is put forward. Based on this, a skiing development model under the influence of ecosystem factors is constructed to explore the influence of ecosystem factors on skiing development. The simulation results show that after many iterations, the error of this method is better than that of the comparison algorithm in ecosystem analysis, with the error reduced by 28.17 % and the recall rate reaching 94.65 %, which is improved by 16.88 % compared with the comparison algorithm. Therefore, this model can provide theoretical support for studying the influence of ecological and environmental factors on the growth of skiing. Based on the analysis of the characteristics of the regional landscape ecosystem, the eco-environmental impact assessment of the ski resort project predicts the impact of project construction on the regional landscape ecosystem. It explores ways and means to maintain the ecological integrity of the natural system to carry out project construction on the premise of protecting the local ecosystem and building a natural and artificial composite landscape ecosystem with reasonable structure and high efficiency.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"30 1","pages":"219 - 225"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84351807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Youfei Zhou, Weina Hu, Junjie Sheng, Juanjuan Zhou, Wei-Guo Zou
Abstract Urban sewage sludge treatment is important for sustainable utilisation and virtuous cycle of freshwater resources. However, with the improvement of sewage discharge standards, ensuring stable operation of sewage sludge treatment plants is becoming an urgent problem to be solved in the sewage treatment industry. This paper proposes a FNN control framework based on different working conditions to optimise the whole process of municipal sewage sludge treatment and discharge. The framework first divides the working conditions according to the weather, forming a separate feature and an input vector together with the typical indicators of other sewage treatment plants. Then the FNN is used to complete the control and optimisation of various indicators, achieving the dual objectives of reducing energy consumption and optimising water quality. Finally, the model is tested for the tracking index of sewage flow. The results demonstrate that the FNN control method used has significantly lower MAE than the single method in the two indexes of energy consumption and water quality evaluation. This provides new ideas for the optimisation of urban sewage sludge treatment process in the future. Overall, the paper effectively highlights the importance of urban sewage sludge treatment and presents a well-designed FNN control framework for optimising the treatment process. Additionally, the paper could benefit from further elaboration on the significance of the results obtained, and suggestions for future research in this area.
{"title":"Design of Urban Sludge Emission Reduction Optimisation Strategy Based on Fuzzy Neural Network","authors":"Youfei Zhou, Weina Hu, Junjie Sheng, Juanjuan Zhou, Wei-Guo Zou","doi":"10.2478/eces-2023-0025","DOIUrl":"https://doi.org/10.2478/eces-2023-0025","url":null,"abstract":"Abstract Urban sewage sludge treatment is important for sustainable utilisation and virtuous cycle of freshwater resources. However, with the improvement of sewage discharge standards, ensuring stable operation of sewage sludge treatment plants is becoming an urgent problem to be solved in the sewage treatment industry. This paper proposes a FNN control framework based on different working conditions to optimise the whole process of municipal sewage sludge treatment and discharge. The framework first divides the working conditions according to the weather, forming a separate feature and an input vector together with the typical indicators of other sewage treatment plants. Then the FNN is used to complete the control and optimisation of various indicators, achieving the dual objectives of reducing energy consumption and optimising water quality. Finally, the model is tested for the tracking index of sewage flow. The results demonstrate that the FNN control method used has significantly lower MAE than the single method in the two indexes of energy consumption and water quality evaluation. This provides new ideas for the optimisation of urban sewage sludge treatment process in the future. Overall, the paper effectively highlights the importance of urban sewage sludge treatment and presents a well-designed FNN control framework for optimising the treatment process. Additionally, the paper could benefit from further elaboration on the significance of the results obtained, and suggestions for future research in this area.","PeriodicalId":11395,"journal":{"name":"Ecological Chemistry and Engineering S","volume":"117 1","pages":"243 - 250"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86996163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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