Template-Type: ReDIF-Article 1.0
Author-Name: Zhengyan Qin
Author-X-Name-First: Zhengyan
Author-X-Name-Last: Qin
Title: Air harmful gas concentration monitoring method based on particle filter algorithm
Abstract:
In order to solve the problem of poor accuracy of traditional air harmful gas concentration monitoring, an air harmful gas concentration monitoring method based on particle filter algorithm is proposed. The state space model of air harmful gas distribution is constructed, and the posterior probability density function is obtained by pushover estimation. The gas concentration to be measured is obtained by particle filter. According to the transition frequency, the second harmonic signal characteristics of harmful air gases are described by Lambert Beer's law. The Lorentz linear function is used to obtain the light intensity change after gas concentration modulation, obtain the relationship between the second harmonic and gas concentration, and realise the monitoring of harmful gas concentration in the air. The experimental results show that this method can improve the monitoring efficiency and accuracy of air harmful gas concentration, and the maximum monitoring accuracy is 98%.
Journal: Int. J. of Environmental Technology and Management
Pages: 298-309
Issue: 4
Volume: 25
Year: 2022
Keywords: characteristic inversion; gas concentration; observation equation; transition frequency; Lorentz linear function.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:298-309
Template-Type: ReDIF-Article 1.0
Author-Name: Lede Niu
Author-X-Name-First: Lede
Author-X-Name-Last: Niu
Author-Name: Anlin Li
Author-X-Name-First: Anlin
Author-X-Name-Last: Li
Author-Name: Liran Xiong
Author-X-Name-First: Liran
Author-X-Name-Last: Xiong
Author-Name: Yan Zhou
Author-X-Name-First: Yan
Author-X-Name-Last: Zhou
Title: Modelling of the impact of land planning and development on regional ecological environment
Abstract:
In order to clarify the impact of land planning and development on regional ecological environment, a modelling study on the impact of land planning and development on regional ecological environment is conducted. The spatial comprehensive change index of land planning and development is determined, and the regional ecological security evaluation index and weight is calculated, so that the sensitivity of the regional environment in the process of land planning and development is determined. According to the sensitivity analysis results, the impact model of land planning and development on the regional ecological environment is built. The input of the model is the land investigation and statistical data, and the output is the impact degree score. The experimental results show that the accuracy of ecological security analysis in the sample area is always higher than 90%, and the error of regional ecological security is controlled below 5%, which verifies the advantages of this model.
Journal: Int. J. of Environmental Technology and Management
Pages: 337-349
Issue: 4
Volume: 25
Year: 2022
Keywords: land planning; regional ecological environment; ecological balance; influence model.
File-URL: http://www.inderscience.com/link.php?id=124418
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:337-349
Template-Type: ReDIF-Article 1.0
Author-Name: Gunjan Kumar
Author-X-Name-First: Gunjan
Author-X-Name-Last: Kumar
Author-Name: Hemant Gupta
Author-X-Name-First: Hemant
Author-X-Name-Last: Gupta
Title: Optical design of integrated line and point focus solar collector for process heat generation
Abstract:
Process heat in the form of steam or hot water is one of the essential requirements of various industrial applications. The need for these energies can be served with the help of solar energy. But, the limitations like the lower output of solar collectors and cost-effectiveness, make it difficult to implement in the industries. In this paper, an attempt has been made for the optical design of a solar system that can produce thermal power up to 1 kW. The concept of an integration of line focus and point focus is used in this work. A mathematical model has been developed to assist the optical design. The model is simulated using MATLAB coding. The dimensions of the collector are determined to generate dry and superheated steam to meet industrial needs. The results of the optical model are validated with the published experimental work which shows a good agreement.
Journal: Int. J. of Environmental Technology and Management
Pages: 218-232
Issue: 3
Volume: 25
Year: 2022
Keywords: solar collector; line focus technology; point focus technology; optical design; zero emission; clean energy.
File-URL: http://www.inderscience.com/link.php?id=122631
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:3:p:218-232
Template-Type: ReDIF-Article 1.0
Author-Name: Reshma Jose
Author-X-Name-First: Reshma
Author-X-Name-Last: Jose
Author-Name: Shanty Chacko
Author-X-Name-First: Shanty
Author-X-Name-Last: Chacko
Title: Liver cancer detection based on various sustainable segmentation techniques for CT images
Abstract:
Liver cancer remains the most common cause of cancer death worldwide; in recent decades, the epidemiology has improved. Commonly, endoscopic stomach biopsy is performed for early detection of liver cancer to minimise mortality. Picture segmentation is a key technique for comprehension and intensification of the medical image. The purpose of this study was to create a sustainable computer-aided estimating system to determine the risk of liver cancer development, achieved through image processing on a CT image. Initially, the image is enhanced by using anisotropic diffusion filtering with unsharp masking (ADF-USM) technique, and the computer-aided estimating method was developed based on fuzzy C-means clustering, Otsu's, region-dependent active contour and superpixel segmentation dependent iterative clustering (SSBIC). This sustainable approach will allow for the effective selection of high-risk liver cancer populations. The performed sustainable CAD device acts as an assistant to the radiologists, helping to identify the area of cancer in the CT scaffold images, take biopsies from those areas and make a better diagnosis.
Journal: Int. J. of Environmental Technology and Management
Pages: 166-179
Issue: 3
Volume: 25
Year: 2022
Keywords: ADF-USM; fuzzy C-means clustering; Otsu's; region based active contour; SSBIC.
File-URL: http://www.inderscience.com/link.php?id=122632
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:3:p:166-179
Template-Type: ReDIF-Article 1.0
Author-Name: Thirunavukkarasu Bageerathan
Author-X-Name-First: Thirunavukkarasu
Author-X-Name-Last: Bageerathan
Author-Name: Thundil Karuppa Raj Rajagopal
Author-X-Name-First: Thundil Karuppa Raj
Author-X-Name-Last: Rajagopal
Title: Investigation on elevation of sloshing liquid in the square tank under excitation using CFD and RSM
Abstract:
Sloshing loads of fluids in partially filled tanks under external excitation were investigated as they are significant in bulk fluid transportation. Effectiveness of combination of horizontal and vertical baffles with slots and varying height configurations in suppression of sloshing was studied. This study mainly focuses on the investigation of maximum elevation of sloshing water in the partially filled baffled square tank configurations. The analysis of variance was used to perform the statistical test to investigate the input parameter which influences the output parameter. The response surface methodology (RSM) was used to optimise the responses from the independent variables. A coded equation has been derived to determine the response parameters. This coded equation predicts the elevation of water in two-slot baffled tank filled with 100 mm and excited with 90% of the resonant frequency for validation. The coded equation was found to predict the values with an error of 2.68%.
Journal: Int. J. of Environmental Technology and Management
Pages: 193-209
Issue: 3
Volume: 25
Year: 2022
Keywords: computational fluid dynamics; CFD; central composite design; CCD; response surface methodology; RSM; tank sloshing; free surface; multiphase.
File-URL: http://www.inderscience.com/link.php?id=122633
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:3:p:193-209
Template-Type: ReDIF-Article 1.0
Author-Name: S.S. Gayathri
Author-X-Name-First: S.S.
Author-X-Name-Last: Gayathri
Author-Name: Shahanas Naisam
Author-X-Name-First: Shahanas
Author-X-Name-Last: Naisam
Author-Name: Nidhin Sreekumar
Author-X-Name-First: Nidhin
Author-X-Name-Last: Sreekumar
Title: An in-silico approach for the identification of potential anticancer phytochemicals from Simarouba glauca against the human epidermal growth factor receptor 2 protein
Abstract:
<i>In-silico</i> docking of 38 phytocompounds of <i>Simarouba glauca</i> (<i>S. glauca</i>) against the HER2 protein was carried out for evaluating its binding affinities. From the docking analysis, the ligands which has novel inhibitor properties had been found out, they were, scopoletin with the highest binding energy -63.8542 showing three H-bonds with an active site, followed by canthin-6-one-dimethoxy with a binding affinity of -33.2519 and three H-bond interactions and fraxidin with a binding affinity of -18.1425 and two H-bond interactions. The property of these phytocompounds was analysed based on Lipinski's filter and ADMET analysis. These phytocompounds show better ADME and satisfied Lipinski's parameters. The result obtained from this research work strengthens the importance of natural compounds as a potential inhibitor for HER2 overexpression. The complex obtained was subjected to a dynamic simulation of 30 ns using the free software NAMD. For further validation, the research work can be subjected to <i>in-vivo</i> studies.
Journal: Int. J. of Environmental Technology and Management
Pages: 180-192
Issue: 3
Volume: 25
Year: 2022
Keywords: Simarouba glauca; human epidermal growth factor receptor 2; HER2; ADME properties; breast cancer.
File-URL: http://www.inderscience.com/link.php?id=122635
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:3:p:180-192
Template-Type: ReDIF-Article 1.0
Author-Name: Hongwei Jia
Author-X-Name-First: Hongwei
Author-X-Name-Last: Jia
Title: Prediction method of pollutant release rate of building materials based on characteristic constraints
Abstract:
In order to solve the problems of low prediction accuracy and long prediction time in traditional prediction of pollutant release rate of building materials, a new prediction method of pollutant release rate of building materials based on feature constraint was proposed. The air flow velocity, air age, release efficiency and accessibility of pollutants are determined. The constant and dynamic release rates of pollutants are calculated, and the release characteristic state is determined by the mass conservation formula. On this basis, the release characteristics are constrained, and the release characteristic gradient value is determined by the loss function to complete the prediction model of building material pollutant release rate. The experimental results show that the prediction accuracy of the proposed method is about 98%, and the prediction time is less than 2 s.
Journal: Int. J. of Environmental Technology and Management
Pages: 249-259
Issue: 4
Volume: 25
Year: 2022
Keywords: building materials; contaminants; release rate; characteristic constraints; air age; influencing parameters.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:249-259
Template-Type: ReDIF-Article 1.0
Author-Name: Shahanas Naisam
Author-X-Name-First: Shahanas
Author-X-Name-Last: Naisam
Author-Name: Viji Selvaraj
Author-X-Name-First: Viji
Author-X-Name-Last: Selvaraj
Author-Name: Nidhin Sreekumar
Author-X-Name-First: Nidhin
Author-X-Name-Last: Sreekumar
Title: Peptides: antimicrobial properties and applications
Abstract:
Peptides are one of the significant biomolecules and are the rudimentary constituent of cells found in all living organisms. They possess tremendous characteristic features including structural diversity, stability, mature combination protocols, easy modification feasibilities, high affinity to proteins, immense chemical versatility, etc. All these promising features allowed peptides to be used in different fields for various applications. Peptides have a great influence on the microbial world. They get involved in various life stages of the cell such as growth and development, reproduction (cell culture), communication, defence, etc. in the microbial community. Antimicrobial peptides are fundamental constituents in all classes of organisms that have a major role in microbial ecology and have a significant contribution to the intrinsic immunity of life forms by attacking microorganisms. AMPs result in drastic effects in both microbial as well as mankind. AMPs have been applied as radiopharmaceuticals, therapeutic-tools, biomarkers, bacterial and other microbial resistance, etc.
Journal: Int. J. of Environmental Technology and Management
Pages: 233-247
Issue: 3
Volume: 25
Year: 2022
Keywords: peptides; microbes; resistance; antimicrobial effect; therapeutic.
File-URL: http://www.inderscience.com/link.php?id=122648
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:3:p:233-247
Template-Type: ReDIF-Article 1.0
Author-Name: Peng Du
Author-X-Name-First: Peng
Author-X-Name-Last: Du
Title: Total indoor environmental pollutant control of intelligent building based on dynamic CGE
Abstract:
In order to better control the total amount of indoor environmental pollutants, a control method of indoor environmental pollutants in intelligent buildings based on dynamic CGE was proposed. Indoor air quality detector was used to collect the sample data of indoor environmental pollutants in buildings, and then a dynamic CGE model was established to extract the spatial and temporal distribution characteristics of pollutants. According to the feature extraction results, the diffusion process of indoor air pollutants was analysed, and the concentration of indoor pollutants was detected with the phenol reagent method. Based on this, the inlet and outlet air volume of the fresh air system was adjusted to complete the total control of indoor environmental pollutants in the intelligent building. Experimental results show that the precision value of indoor pollutant diffusion detection by the proposed method is as high as 0.98, and the concentration of pollutants can be well controlled.
Journal: Int. J. of Environmental Technology and Management
Pages: 260-272
Issue: 4
Volume: 25
Year: 2022
Keywords: CGE model; intelligent building; indoor environment; pollutant control; diffusion detection; phenol reagent method.
File-URL: http://www.inderscience.com/link.php?id=124446
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:260-272
Template-Type: ReDIF-Article 1.0
Author-Name: Zhouheng Fan
Author-X-Name-First: Zhouheng
Author-X-Name-Last: Fan
Title: Analysis on the coupling degree of water source ecological environment based on 3S technology
Abstract:
In order to overcome the problems of low classification accuracy, high error and long time in traditional water source eco-environmental coupling model analysis method, a water source ecological environment coupling degree analysis based on 3S technology is proposed. According to the classification results of water source ecological environment features, the water source ecological environment evaluation matrix is constructed, and all indexes are normalised. The index weight is estimated by calculating the information entropy of the evaluation index, and the water source ecological environment coupling degree model is constructed according to the index weight to complete the analysis of water source ecological environment coupling degree. The experimental results show that the accuracy of surface feature classification is always above 97%, the relative error rate of water source ecological environment coupling analysis is always below 3.9%, and the average analysis time is only 0.62 s.
Journal: Int. J. of Environmental Technology and Management
Pages: 324-336
Issue: 4
Volume: 25
Year: 2022
Keywords: 3S technology; source of water; ecological environment; coupling degree; support vector machine; information entropy.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:324-336
Template-Type: ReDIF-Article 1.0
Author-Name: Xiaoyan Wu
Author-X-Name-First: Xiaoyan
Author-X-Name-Last: Wu
Title: An ecological environmental carrying capacity estimation of tourist attractions based on structural equation
Abstract:
In order to solve the problems of high average absolute error and low accuracy of index weight calculation in traditional methods, an estimation model of ecological environment carrying capacity of tourist attractions based on structural equation was designed. Structural equation model is adopted to define the tourist scenic spot ecological environment bearing capacity estimation indicators of potential variables and show in the variable, based on the variable data to build the coupling model of ecological carrying capacity, establishing ecological environmental bearing capacity index system, index weight is obtained by using the entropy weight method, in order to build capacity estimation model, input variable data into the model of bearing capacity estimation. Experimental results show that the index system established by the model has a high goodness of fit with the model, the average absolute error of index weight calculation is low, and the calculation accuracy is up to about 95%.
Journal: Int. J. of Environmental Technology and Management
Pages: 310-323
Issue: 4
Volume: 25
Year: 2022
Keywords: structural equation; ecological environment carrying capacity; index system; coupling coordination degree; estimation model.
File-URL: http://www.inderscience.com/link.php?id=124448
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:310-323
Template-Type: ReDIF-Article 1.0
Author-Name: Zhi Song
Author-X-Name-First: Zhi
Author-X-Name-Last: Song
Author-Name: Bo-xia Liu
Author-X-Name-First: Bo-xia
Author-X-Name-Last: Liu
Author-Name: Yao-yao Chen
Author-X-Name-First: Yao-yao
Author-X-Name-Last: Chen
Title: Rapid decomposition of organic pollutants in chemical nanocomposites
Abstract:
In order to overcome the problem of low decomposition efficiency of organic pollutants from chemical nanocomposites by traditional decomposition methods, a rapid decomposition method of organic pollutants from chemical nanocomposites was proposed in this paper. The preparation process of chemical nanocomposite catalyst was determined, the experimental reagents and catalysts needed for the decomposition of organic pollutants were given, the cyclic decomposition experiment of organic pollutants in chemical nanocomposite was carried out, and the characterisation of materials after the decomposition of organic pollutants in chemical nanocomposite was analysed. Methylene blue solution was taken as the target organic pollutant to analyse the decomposition effect of organic pollutant without catalyst and with catalyst added. The experimental results show that both TiO<SUB align="right"><SMALL>2</SMALL></SUB>-15RGo and TiO<SUB align="right"><SMALL>2</SMALL></SUB>-30RGo have high photocatalytic degradation effect. RGO can catalyse the transfer effect of photo-generated electrons and improve the photocatalytic decomposition efficiency of organic pollutants in nanocomposites.
Journal: Int. J. of Environmental Technology and Management
Pages: 285-297
Issue: 4
Volume: 25
Year: 2022
Keywords: photocatalytic decomposition; decomposition of organic pollutants; pollutant cycle decomposition; nanocomposites.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:285-297
Template-Type: ReDIF-Article 1.0
Author-Name: Chintak Kamalesh Parashar
Author-X-Name-First: Chintak Kamalesh
Author-X-Name-Last: Parashar
Author-Name: Partha Das
Author-X-Name-First: Partha
Author-X-Name-Last: Das
Author-Name: Subho Samanta
Author-X-Name-First: Subho
Author-X-Name-Last: Samanta
Author-Name: Priyabrata Banerjee
Author-X-Name-First: Priyabrata
Author-X-Name-Last: Banerjee
Author-Name: Amit Ganguly
Author-X-Name-First: Amit
Author-X-Name-Last: Ganguly
Author-Name: Shibendu Shekhar Roy
Author-X-Name-First: Shibendu Shekhar
Author-X-Name-Last: Roy
Author-Name: Pradip Kumar Chatterjee
Author-X-Name-First: Pradip Kumar
Author-X-Name-Last: Chatterjee
Title: Eco-friendly disposal of municipal solid waste and a contribution to energy crisis in India - a case study
Abstract:
Increasing rate of generation of municipal solid waste (MSW), complexity of disposal techniques, and air-polluting emissions are major environmental issues in developing cities. In this context, this paper describes a MSW management (MSWM) pilot plant designed and developed by the Council of Scientific and Industrial Research (CSIR) laboratory, Central Mechanical Engineering Research Institute (CMERI), wherein waste from the colony (CSIR - CMERI habitat place) is collected and then mechanically segregated so as to easily dispose it in order to generate energy from the segregated wastes by waste to energy (WTE) conversion technologies and supply this energy in different forms to the society. This MSWM pilot plant strives to judiciously help our government's Clean India mission. At the end, the impact of such eco-friendly waste disposal systems was found to be very beneficial and is believed to be a real day solution which will enhance the hope of waste management scenario in an accelerated fashion.
Journal: Int. J. of Environmental Technology and Management
Pages: 366-387
Issue: 5
Volume: 25
Year: 2022
Keywords: waste to energy; WTE; municipal solid waste; MSW; MSW pilot plant; waste segregation; MSW disposal; pollution; power; renewable energy; sustainable development; societal development; eco-friendly disposal; pyrolysis; bio-methanation; India.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:5:p:366-387
Template-Type: ReDIF-Article 1.0
Author-Name: Nguyen Trung Thang
Author-X-Name-First: Nguyen Trung
Author-X-Name-Last: Thang
Author-Name: Sunil Herat
Author-X-Name-First: Sunil
Author-X-Name-Last: Herat
Author-Name: Duong Thi Phuong Anh
Author-X-Name-First: Duong Thi Phuong
Author-X-Name-Last: Anh
Title: Current status of e-waste management in Vietnam
Abstract:
E-waste is one of the fastest growing waste streams in the world today. Rapid innovation and uptake of information technology around the world coupled with the advent of new design and technology at regular intervals in the electronics sector is causing the early obsolescence of many electrical and electronic equipment (EEE) used around the world today. By 2020 Vietnam is expected to generate 10.6 million units of e-waste. In 2015, the Prime Minister of Vietnam has signed the <i>Decision 16/2015/QD-TTg dated January 22nd, 2015 on retrieval, treatment of discarded products</i>, which is the extended producer responsibility (EPR) system in Vietnam. The policy is now updated by the Law on Environmental Protection 2020. This paper aims to describe the current situation of e-waste management in Vietnam, identify some of the issues and challenges, and suggest a way forward. The contents of this paper will also serve as an input to policy making in other developing countries in the region.
Journal: Int. J. of Environmental Technology and Management
Pages: 388-405
Issue: 5
Volume: 25
Year: 2022
Keywords: e-waste; electronic waste; Vietnam; recycling; legislation; computers; mobile phones; informal recycling; craft villages; health impacts; electrical and electronic equipment; EEE; extended producer responsibility; EPR.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:5:p:388-405
Template-Type: ReDIF-Article 1.0
Author-Name: Mohammad Reza Seyedabadia
Author-X-Name-First: Mohammad Reza
Author-X-Name-Last: Seyedabadia
Author-Name: Mohsen Karrabi
Author-X-Name-First: Mohsen
Author-X-Name-Last: Karrabi
Author-Name: Javad Abdollahi
Author-X-Name-First: Javad
Author-X-Name-Last: Abdollahi
Author-Name: Hossein Kazemian
Author-X-Name-First: Hossein
Author-X-Name-Last: Kazemian
Title: Optimising and investigating the effect of leaf area index, soil depth, and water content on energy conservation and pollutant reduction in green roof systems (case study: Mashhad City)
Abstract:
In this study, the effect of leaf area index, soil depth, and water content on the energy conservation and carbon emission was evaluated in building industry. For this purpose, firstly Design Builder software was employed to model a green roof on a 160 m<SUP align="right"><SMALL>2</SMALL></SUP> building located in the cold and dry climate of Mashhad City in Iran. The results showed that energy conservation in the building has a direct relationship with the soil layer thickness (up to 40 cm) and an inverse relationship with the soil water content. A two-fold increase in the LAI improved energy conservation performance of the green roof by 14%. After estimating the effect of green roofs on pollutant emissions, it was found that the highest emission reduction would be related to NO<SUB align="right"><SMALL>x</SMALL></SUB> with the amount of 1,577.1 tons in warm seasons and 2,073 tons in cold seasons.
Journal: Int. J. of Environmental Technology and Management
Pages: 351-365
Issue: 5
Volume: 25
Year: 2022
Keywords: green roof; environment; energy conservation; carbon emission reduction; simulation.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:5:p:351-365
Template-Type: ReDIF-Article 1.0
Author-Name: Min Cao
Author-X-Name-First: Min
Author-X-Name-Last: Cao
Author-Name: Ling Wang
Author-X-Name-First: Ling
Author-X-Name-Last: Wang
Title: Application of energy performance contracting in building energy saving
Abstract:
In order to improve the effect of energy-saving renovation of buildings, this paper studies the classification and characteristics of the risks of energy performance contracting projects. Moreover, based on the theoretical knowledge of the grey system, through the analysis and identification of the grey system of the energy performance-contracting project, this article establishes a multi-level risk index evaluation system based on the project's risk system. In addition, this article applies the energy performance-contracting model to the building energy saving project and calculates the application effect of energy performance contracting in building energy saving, which is mainly evaluated from three aspects: financing effect, risk management, and energy-saving renovation effect. From the research results, it can be seen that the smart energy performance contracting model constructed in this paper has certain effects in building energy saving.
Journal: Int. J. of Environmental Technology and Management
Pages: 484-500
Issue: 6
Volume: 25
Year: 2022
Keywords: energy performance contracting; building energy saving; system model; intelligence.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:484-500
Template-Type: ReDIF-Article 1.0
Author-Name: Xiaoting Cheng
Author-X-Name-First: Xiaoting
Author-X-Name-Last: Cheng
Title: Ecological construction design and planning based on energy-saving building technology
Abstract:
When designing buildings, especially eco-energy-saving buildings, we should fully consider their functions and characteristics, determine the existence of forms by function, and combine building technology with architectural art, instead of blindly pursuing visual impact or even grandstanding and manufacturing products that do not conform to scientific laws, which will increase energy consumption and reduce comfort. This paper builds an ecological construction design and planning system based on energy-saving building technology. When constructing a framework for smart construction of eco-energy-saving buildings, based on the information processing process, this paper proposes an integrated framework system that integrates smart construction requirements and various technical characteristics. Finally, this paper conducts system verification through experimental research. The research results show that the ecological construction planning and design system based on energy-saving building technology constructed in this paper can effectively improve the effect of ecological construction design and planning.
Journal: Int. J. of Environmental Technology and Management
Pages: 467-483
Issue: 6
Volume: 25
Year: 2022
Keywords: energy-saving building; design and planning; intelligent algorithm; ecological construction.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:467-483
Template-Type: ReDIF-Article 1.0
Author-Name: Mojtaba Nedaei
Author-X-Name-First: Mojtaba
Author-X-Name-Last: Nedaei
Author-Name: Maurizio Faccio
Author-X-Name-First: Maurizio
Author-X-Name-Last: Faccio
Author-Name: Marco Bortolini
Author-X-Name-First: Marco
Author-X-Name-Last: Bortolini
Author-Name: Mauro Gamberi
Author-X-Name-First: Mauro
Author-X-Name-Last: Gamberi
Title: Design and simulation-based optimisation of a renewable energy system consisting of wind and hydrogen for the purpose of reliable electrification
Abstract:
In this study, design and simulation-based optimisation of a hybrid power system is investigated. The energy system is designed in such a way that when the electricity is produced from the wind power, it would either be transmitted into the grid for the purpose of medium or large-scale electrification or in the case of surplus electricity, it would be utilised for small-scale hydrogen production. The wind energy production transmitted to the grid is estimated with the optimum value of approximately 2,000 kWh per day. The hybrid energy system has been adjusted so that the incoming energy supplied from wind energy production powers the electrolyser thus producing hydrogen from the power plant. Through considering various ranges of design coefficients including hydrogen price, hydrogen production, electricity price and electricity transmitted to the grid by harnessing the wind power, the net monthly revenues reached a maximum level of € 1,974.87 per month.
Journal: Int. J. of Environmental Technology and Management
Pages: 445-465
Issue: 5
Volume: 25
Year: 2022
Keywords: wind energy; hydrogen production; hybrid energy system; electrical grid.
File-URL: http://www.inderscience.com/link.php?id=125531
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:5:p:445-465
Template-Type: ReDIF-Article 1.0
Author-Name: Rabia Köklü
Author-X-Name-First: Rabia
Author-X-Name-Last: Köklü
Author-Name: Burçin Atılgan Türkmen
Author-X-Name-First: Burçin Atılgan
Author-X-Name-Last: Türkmen
Author-Name: Ece Ümmü Deveci
Author-X-Name-First: Ece Ümmü
Author-X-Name-Last: Deveci
Author-Name: Çağdaş Gönen
Author-X-Name-First: Çağdaş
Author-X-Name-Last: Gönen
Title: Impact of COVID-19 restrictive precautions on air quality: case of Zonguldak, Turkey
Abstract:
The purpose of this study was to investigate and assess how restrictive COVID-19 precautions affect air quality in Zonguldak, as well as to determine the relationship between air quality and meteorological variables under these conditions. Daily PM2.5, PM10, SO<SUB align="right"><SMALL>2</SMALL></SUB>, and NO<SUB align="right"><SMALL>x</SMALL></SUB> concentrations and meteorological data, from 1 March to 31 May 2018, 2019, and 2020 were collected for this research. During the 2020 restrictive COVID-19 precautions, it was determined that concentrations of air pollutants were different and low based on the 95% confidence interval by using paired t-test samples. Meteorological variables were found to be similar to previous years, and the correlation between them and air pollutants was found to be significant (P < 0.01) but low according to Pearson correlations. As a result, meteorological variables were determined to have no direct effect on the low concentrations of air quality emissions during the 2020 pandemic. The overall findings revealed that anthropogenic impact has a negative impact on air quality and the air quality had improved during the COVID pandemic. Furthermore, the restriction on the region's coalmines during the COVID-19 pandemic has significant impact on the improvement of air quality.
Journal: Int. J. of Environmental Technology and Management
Pages: 406-426
Issue: 5
Volume: 25
Year: 2022
Keywords: COVID-19; pandemic; air quality; PM10; PM2.5; NOx; SO2; Zonguldak; Turkey.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:5:p:406-426
Template-Type: ReDIF-Article 1.0
Author-Name: Mingran Wu
Author-X-Name-First: Mingran
Author-X-Name-Last: Wu
Author-Name: Weidong Huang
Author-X-Name-First: Weidong
Author-X-Name-Last: Huang
Title: A preliminary study on the relationship between environmental constraints, technological innovation and economic development in China - based on the development level and degree of coordination of the combined system
Abstract:
Under the theory of system synergy, this paper studies the development level and degree of coordination of the combined system of environmental constraint, technological innovation and economic development in China from 2011 to 2019. The results show that in recent years, the development level of China's technological innovation and economic development system shows an increasing trend year by year, and their trajectories are very similar, which indicates that China's economic development is increasingly driven by scientific and technological innovation. The trend for the environmental constraint level is more complicated and gradually became lower than that of the other two subsystems after 2016, which further leads to the slowdown of the growth of the degree of coordination of the complex system. The results show that the current ecological environment in China restricts economic development, and environmental protection and improvement is an important issue that cannot be ignored. Therefore, the government needs to further improve environmental regulation and use different tools to coordinate these improvements. Moreover, the most important thing is to establish a modernised development system based on green science and technology.
Journal: Int. J. of Environmental Technology and Management
Pages: 427-444
Issue: 5
Volume: 25
Year: 2022
Keywords: environmental constraint; technological innovation; economic development; development level; degree of coordination.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:5:p:427-444
Template-Type: ReDIF-Article 1.0
Author-Name: Qingwei Zhou
Author-X-Name-First: Qingwei
Author-X-Name-Last: Zhou
Author-Name: Yang He
Author-X-Name-First: Yang
Author-X-Name-Last: He
Author-Name: Haiyan Wu
Author-X-Name-First: Haiyan
Author-X-Name-Last: Wu
Author-Name: Yanqin Li
Author-X-Name-First: Yanqin
Author-X-Name-Last: Li
Title: Environmental carrying capacity of green resource city ecological landscape supported by GIS
Abstract:
This study takes typical ecological cities as the research object, is supported by ecology and related disciplines, and focuses on geographic information system (GIS) technology, digital elevation model (DEM), land use maps and administrative division maps. Combined with the regional characteristics of the city, the ecological environment of the study area was systematically analysed. The analysis results show that the threshold of urban green coverage, the utilisation level of industrial solid waste, and the level of harmless treatment of urban solid waste are usually between 0.6 and 1, and the per capita community green space is usually between 0 and 0.4, which is worse than the standard threshold.
Journal: Int. J. of Environmental Technology and Management
Pages: 519-543
Issue: 6
Volume: 25
Year: 2022
Keywords: GIS technology; environmental carrying capacity; ecological landscape; ecological construction model.
File-URL: http://www.inderscience.com/link.php?id=126565
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:519-543
Template-Type: ReDIF-Article 1.0
Author-Name: Soubhagya Keshari Chand
Author-X-Name-First: Soubhagya Keshari
Author-X-Name-Last: Chand
Author-Name: Sasmita Chand
Author-X-Name-First: Sasmita
Author-X-Name-Last: Chand
Title: Plastics waste management and its sustainable approaches – an overview
Abstract:
Plastics waste is one of the major environmental concerns in India now due to huge consumption and arbitrary disposal. The inappropriate management of plastics waste causes various hazards to public health as well as the environment and the ecosystem. Different studies reveal that plastics are disposed by open dump in a haphazard or unscientific mode, creating problems to environment directly or indirectly because of non-degradation and non-decomposition. This study provide a comprehensive review of plastics waste reprocess, applications and significance, evaluation of the current status and identification of major concerns of plastics dumping in different cities and towns. Assortments of adopted reprocess technologies for plastics are critically reviewed, along with their advantages and disadvantages. The manuscript is concluded with some fruitful suggestions that future work should focus on improving the reprocess techniques, which may be useful to encourage the researchers to predict the prevailing plastics waste conditions and better optimisation.
Journal: Int. J. of Environmental Technology and Management
Pages: 501-518
Issue: 6
Volume: 25
Year: 2022
Keywords: plastics waste; environmental concerns; applications; plastic reuse and recycling; waste management; sustainable approaches.
File-URL: http://www.inderscience.com/link.php?id=126567
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:501-518
Template-Type: ReDIF-Article 1.0
Author-Name: María del Carmen Espinosa-Lloréns
Author-X-Name-First: María del Carmen
Author-X-Name-Last: Espinosa-Lloréns
Author-Name: Matilde López-Torres
Author-X-Name-First: Matilde
Author-X-Name-Last: López-Torres
Author-Name: Susana Díaz-Aguirre
Author-X-Name-First: Susana
Author-X-Name-Last: Díaz-Aguirre
Author-Name: Cira Lidia Isaac-Godínez
Author-X-Name-First: Cira Lidia
Author-X-Name-Last: Isaac-Godínez
Author-Name: Edward McBean
Author-X-Name-First: Edward
Author-X-Name-Last: McBean
Author-Name: Natividad Ramírez-Ramírez
Author-X-Name-First: Natividad
Author-X-Name-Last: Ramírez-Ramírez
Title: A contribution to the municipal solid waste management in Havana, Cuba
Abstract:
Problems of municipal solid waste (MSW) are increasing with growing populations and urbanisation, resulting in the need for improved waste management strategies. The physical composition and generation rate of MSW from residential areas in five representative municipalities in Havana were classified into 11 categories according to ASTM standards. The study reveals that over 65% of the MSW was comprised of organic waste (food waste). The average generation rate of MSW in the city was 0.7 kg/person-d. Five components of MSW in Havana are indicating promising dimensions for recycling activities, with paper and cardboard being largest. The recycling rate is currently insufficient and there is potential for significant improvements.
Journal: Int. J. of Environmental Technology and Management
Pages: 582-606
Issue: 6
Volume: 25
Year: 2022
Keywords: municipal solid waste management; physical composition; generation rate; recycling; Cuba.
File-URL: http://www.inderscience.com/link.php?id=126574
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:582-606
Template-Type: ReDIF-Article 1.0
Author-Name: Yejun Cao
Author-X-Name-First: Yejun
Author-X-Name-Last: Cao
Author-Name: Xiwen Yu
Author-X-Name-First: Xiwen
Author-X-Name-Last: Yu
Author-Name: Shengnan Wu
Author-X-Name-First: Shengnan
Author-X-Name-Last: Wu
Title: Sustainable design and low-carbon technology application of rural landscape under the background of rural revitalisation
Abstract:
This paper proposes the sustainable design of rural landscape based on the perspective of rural revitalisation. The purpose is to maximise the preservation of the original rural landscape while developing the economy under the current rural revitalisation background in China, and to develop the application of low-carbon technology to help the dual-carbon goal. This paper also proposes a fuzzy comprehensive evaluation theory and low-carbon technical characteristics evaluation indicators for evaluating rural landscapes. The purpose is to find out whether the construction of rural landscapes and existing agricultural production meet low-carbon standards. The experimental research results found that in terms of time, the degree of low carbon is getting higher and higher, and by 2018 it has reached 0.876. In agricultural production, the degree of low-carbon control of Platycodon grandiflorum treatment and fertiliser types is the highest, reaching above 0.8.
Journal: Int. J. of Environmental Technology and Management
Pages: 564-581
Issue: 6
Volume: 25
Year: 2022
Keywords: rural revitalisation; rural landscape; sustainable design; low-carbon technology.
File-URL: http://www.inderscience.com/link.php?id=126575
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:564-581
Template-Type: ReDIF-Article 1.0
Author-Name: Ming Li
Author-X-Name-First: Ming
Author-X-Name-Last: Li
Author-Name: Qianliang Yin
Author-X-Name-First: Qianliang
Author-X-Name-Last: Yin
Title: A neutral MCDM method for evaluation of sustainability indexes of green building construction
Abstract:
Green buildings refer to buildings that are environmentally friendly and sustainable. Sustainability indicators are a measure of sustainability. The MCDM method is a multi-standard decision-making method. Before the construction of green buildings, it is necessary to evaluate the sustainability of the scheme in combination with specific methods. This paper aims to use the MCDM method to evaluate the sustainability index of three different green building construction projects. This paper establishes a sustainability evaluation index system, uses the analytic hierarchy process to construct a judgement matrix, and converts descriptive functional goals into quantitative values. Through the MCDM method, to analyse and verify the effect of the system under the premise of ensuring certain functions, lower energy consumption and cost can be obtained, and the green building design concept can be realised, so as to achieve the effect of scientific decision-making on different green building schemes. This paper has established a sustainability evaluation system for green buildings, which contains 33 indicators, which includes six first-level indicators and 26 second-level indicators that meets the main sustainability criteria. This article selects the best plan through a multi-attribute decision-making method.
Journal: Int. J. of Environmental Technology and Management
Pages: 607-631
Issue: 6
Volume: 25
Year: 2022
Keywords: green building; sustainability index; index evaluation; MCDM method; multi-attribute decision-making; MADM.
File-URL: http://www.inderscience.com/link.php?id=126578
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:607-631
Template-Type: ReDIF-Article 1.0
Author-Name: Xiang Huang
Author-X-Name-First: Xiang
Author-X-Name-Last: Huang
Author-Name: Pengxiang Huang
Author-X-Name-First: Pengxiang
Author-X-Name-Last: Huang
Author-Name: Tianxiang Huang
Author-X-Name-First: Tianxiang
Author-X-Name-Last: Huang
Title: Relationship between low-carbon service innovation and enterprise performance under the background of green entrepreneurship
Abstract:
As a new innovation method, green innovation can help technology-based SMEs to establish a green image and gain technological initiative, thereby enhancing their market competitiveness. To understand the relationship between low-carbon services and corporate performance in this context, this paper makes assumptions about the influencing factors of green innovation in technology-based SMEs from four levels of government, enterprise, market and society, and uses green dynamic capability as an intermediate variable. This paper discusses the relationship between green innovation and competitive advantage, analyses and hypothesises the role of green innovation capability on green innovation and competitive advantage of technology-based SMEs. The results of the study found that under the background of green entrepreneurship, enterprises used low-carbon service innovation, the performance of enterprises increased by more than 20%. This shows that low-carbon service innovation can improve the performance of enterprises under certain conditions.
Journal: Int. J. of Environmental Technology and Management
Pages: 544-563
Issue: 6
Volume: 25
Year: 2022
Keywords: green entrepreneurship; low-carbon services; innovation and enterprise; corporate performance.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:6:p:544-563
Template-Type: ReDIF-Article 1.0
Author-Name: Carlos André Silvestre M. De Almeida
Author-X-Name-First: Carlos André Silvestre M. De
Author-X-Name-Last: Almeida
Author-Name: Ivo Da Silva
Author-X-Name-First: Ivo Da
Author-X-Name-Last: Silva
Author-Name: Fernanda S. Peiter
Author-X-Name-First: Fernanda S.
Author-X-Name-Last: Peiter
Author-Name: Karina Ribeiro Salomon
Author-X-Name-First: Karina Ribeiro
Author-X-Name-Last: Salomon
Title: Innovative blends to wastewater sludge energy valorisation towards a sustainable circular bioeconomy
Abstract:
This work aimed to determine the elementary, chemical and energy characteristics of pellets produced using sewage sludge combined with elephant grass and residual cooking oil. At first, sludge and grass were mixed in respective proportions of 25%-75% and 50%-50%. Afterwards, two more samples were created by adding 5% residual cooking oil to that mixtures. The parameters analysed were moisture, bulk density, elemental composition, immediate chemical analysis (ash, volatile and fixed carbon content), calorific value, fines content and mechanical durability. The material properties were compared to the European standards for pellets EN 14961-6. The results showed the pellets with a lower proportion of sludge presented higher calorific value and less ash content, but less bulk density and higher fines content. The oil provided an increase in calorific value, however, an increase in the sulphur content. Among the four samples, those with 25% sludge and 75% grass fitted all parameters according to the EN 14961-6 standards.
Journal: Int. J. of Environmental Technology and Management
Pages: 122-133
Issue: 1/2
Volume: 25
Year: 2022
Keywords: pellets; sewage sludge; elephant grass; residual cooking oil; renewable energy.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:122-133
Template-Type: ReDIF-Article 1.0
Author-Name: Yuri Yevdokimov
Author-X-Name-First: Yuri
Author-X-Name-Last: Yevdokimov
Author-Name: Vladimir Melnyk
Author-X-Name-First: Vladimir
Author-X-Name-Last: Melnyk
Author-Name: Leonid Melnyk
Author-X-Name-First: Leonid
Author-X-Name-Last: Melnyk
Author-Name: Iryna Dehtyarova
Author-X-Name-First: Iryna
Author-X-Name-Last: Dehtyarova
Title: Socio-economic innovations in systems analysis: environmental and economic aspects
Abstract:
Current socio-economic development framework provides insufficient opportunities to apply traditional decision making and managerial tools. Specifically, it ignores the bifurcation (qualitative) changes in economic systems as well as critical relationships between the economy and environment. This results in nonlinear relationships between socio-economic and environmental factors. In fact, ecological and economic effects are complex multi-factorial phenomena. The paper offers a methodological approach that defines the overall effect from economic activities of an economic agent with the help of a correction coefficient, which is based on the ratio of internal and external effects. This methodology is applied to define the correction coefficients in the Ukrainian economy on the basis of the data collected over more than 40 years. The paper also offers the analysis of investment business projects in Sumy Region showing internal, external effects, and integral results of the investment business projects.
Journal: Int. J. of Environmental Technology and Management
Pages: 134-153
Issue: 1/2
Volume: 25
Year: 2022
Keywords: socio-economic development; system analysis; nature resource; sustainable development.
File-URL: http://www.inderscience.com/link.php?id=120713
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:134-153
Template-Type: ReDIF-Article 1.0
Author-Name: Anlin Li
Author-X-Name-First: Anlin
Author-X-Name-Last: Li
Author-Name: Lede Niu
Author-X-Name-First: Lede
Author-X-Name-Last: Niu
Author-Name: Yan Zhou
Author-X-Name-First: Yan
Author-X-Name-Last: Zhou
Title: Prediction method of construction land expansion speed of ecological city based on BP neural network
Abstract:
In order to solve the problems of low accuracy and poor convergence of traditional urban construction land expansion speed prediction, a new method based on BP neural network for ecological city construction land expansion speed prediction is proposed. On the basis of driving forces state responses (DSR) research framework model, this paper analyses the main components of the driving mechanism model of urban construction land expansion, finds out the driving factors, and verifies the unit root of its time series, as well as causality verification and screening, to establish the driving mechanism model of urban construction land expansion. After preprocessing the data in the model, the BP neural network is constructed to predict the expansion speed of urban construction land. The experimental results show that the proposed method has better convergence and higher prediction accuracy, which provides a reference for related research.
Journal: Int. J. of Environmental Technology and Management
Pages: 108-121
Issue: 1/2
Volume: 25
Year: 2022
Keywords: DSR; BP neural network; ecological city; construction land; expansion speed prediction.
File-URL: http://www.inderscience.com/link.php?id=120722
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:108-121
Template-Type: ReDIF-Article 1.0
Author-Name: Yuhui He
Author-X-Name-First: Yuhui
Author-X-Name-Last: He
Title: Restoration method of garden space environment based on P-IBI factor analysis
Abstract:
Because the traditional method does not consider the accurate evaluation of the environmental conditions of the garden space, the restoration method of the garden space environment has the problems of low evaluation accuracy and high restoration cost. Therefore, a garden space environment restoration method based on P-IBI factor analysis is proposed. The P-IBI index is calculated to determine the environmental restoration index, and the factor scoring result is obtained by combining common factors, and common factors according to the evaluation index standard, so as to realise the P-IBI factor load analysis. Based on this, the garden space environment restoration plan is determined. The experimental results show that the evaluation accuracy of this method is always above 94%, the average evaluation time is 0.74 s, and the maximum restoration cost of the garden space environment is 549,000 yuan. It can be seen that this method has a certain practical application effect.
Journal: Int. J. of Environmental Technology and Management
Pages: 38-48
Issue: 1/2
Volume: 25
Year: 2022
Keywords: phytoplankton integrity index; P-IBI; factor analysis; garden space environment; environmental remediation; factor load matrix.
File-URL: http://www.inderscience.com/link.php?id=120723
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:38-48
Template-Type: ReDIF-Article 1.0
Author-Name: Zhencheng Wang
Author-X-Name-First: Zhencheng
Author-X-Name-Last: Wang
Author-Name: Feng Xie
Author-X-Name-First: Feng
Author-X-Name-Last: Xie
Title: Medium and long-term trend prediction of urban air quality based on deep learning
Abstract:
In order to overcome the low accuracy of traditional air quality change prediction methods, this paper designs a medium and long-term prediction method of urban air quality change trend based on deep learning. The deep learning network is constructed, and the air quality prediction process is designed by using the deep learning algorithm to optimise the air quality prediction model. The deep belief network is initialised by unsupervised training, and the data is supervised by back propagation algorithm. By continuously optimising the network weights to avoid the network falling into local optimum, the medium and long-term accurate prediction of air quality change trend can be realised. The experimental results show the AQI index value of the prediction results of the model has a high fitting degree with the actual value, and the evaluation values of RMSE, MAE, MSE and SMAPE are 2.608%, 2.613%, 2.07% and 0.9513 respectively, which proves the effectiveness of the method.
Journal: Int. J. of Environmental Technology and Management
Pages: 22-37
Issue: 1/2
Volume: 25
Year: 2022
Keywords: deep learning; air quality; meteorological characteristics; forecast effect; air quality index; AQI.
File-URL: http://www.inderscience.com/link.php?id=120724
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:22-37
Template-Type: ReDIF-Article 1.0
Author-Name: Xuan Liu
Author-X-Name-First: Xuan
Author-X-Name-Last: Liu
Author-Name: Qi Wang
Author-X-Name-First: Qi
Author-X-Name-Last: Wang
Author-Name: Bing He
Author-X-Name-First: Bing
Author-X-Name-Last: He
Author-Name: Qifan Dai
Author-X-Name-First: Qifan
Author-X-Name-Last: Dai
Author-Name: Chen Feng
Author-X-Name-First: Chen
Author-X-Name-Last: Feng
Title: Research on the method of landscape configuration of garden plants based on the evaluation method of beauty degree
Abstract:
In order to overcome the problems of low accuracy in the analysis of beauty value, contribution degree and colour coordination in the process of landscape plant configuration, a new landscape plant configuration method based on the beauty evaluation method is proposed in this paper. The method uses the beauty evaluation method to evaluate 60 pilot garden plant landscapes and establishes the mathematical model of beauty by regression analysis to analyse the main factors of colour configuration. The landscape configuration degree model of landscape plants was established. The objective is to explore the influence of different colour factors on the landscape configuration of garden plants. The experimental results show that the average beauty value of the study area is 0.7798 ~ 0.9761, and the comprehensive contribution can reach 67.9%, which can effectively improve the landscape configuration level of garden plants and the accuracy of colour coordination analysis.
Journal: Int. J. of Environmental Technology and Management
Pages: 1-21
Issue: 1/2
Volume: 25
Year: 2022
Keywords: beauty evaluation; plant landscape configuration; colour analysis; plant landscape configuration.
File-URL: http://www.inderscience.com/link.php?id=120726
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:1-21
Template-Type: ReDIF-Article 1.0
Author-Name: Youhua Liu
Author-X-Name-First: Youhua
Author-X-Name-Last: Liu
Author-Name: Yixin Chen
Author-X-Name-First: Yixin
Author-X-Name-Last: Chen
Author-Name: Hao Cheng
Author-X-Name-First: Hao
Author-X-Name-Last: Cheng
Title: Dynamic monitoring of environmental quality in tourist attractions based on UAV multispectral remote sensing
Abstract:
In order to overcome the problems of low recognition rate, high spatial accuracy error and low monitoring accuracy existing in traditional methods, this paper proposes a dynamic monitoring study of environmental quality in tourist scenic spots based on UAV multi-spectral remote sensing. In this method, DJI Matrice600Pro UAV equipped with multispectral camera is used to collect remote sensing images and preprocess them to obtain hyperspectral remote sensing images. The classification regression tree method is used to extract the environmental remote sensing information of scenic spots, and the camera calibration objective function is constructed according to the world coordinates corresponding to the feature points to dynamically monitor the environmental quality. The experimental results show that the recognition rate of remote sensing image is close to 100%, the spatial accuracy error is less than 4%, the system error data value is 0.15, and the monitoring accuracy is as high as 95%.
Journal: Int. J. of Environmental Technology and Management
Pages: 49-64
Issue: 1/2
Volume: 25
Year: 2022
Keywords: multispectral remote sensing; tourist attractions; environment; dynamic monitoring.
File-URL: http://www.inderscience.com/link.php?id=120727
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:49-64
Template-Type: ReDIF-Article 1.0
Author-Name: Shuhua Wang
Author-X-Name-First: Shuhua
Author-X-Name-Last: Wang
Title: Quantitative evaluation of landscape architecture environmental benefits based on multi-criteria decision-making
Abstract:
Aiming at the problems of large spatial accuracy error and long evaluation time in the quantitative evaluation of environmental benefits of landscape architecture, a new research method for quantitative evaluation of environmental benefits of landscape architecture is proposed. The grey relational analysis method is used to calculate the weights of environmental benefit evaluation indexes and establish an evaluation index system. The multi-dimensional decision-making method is applied to the construction of the environmental benefit decision matrix. After the index weights are clarified, the weighted decision matrix is established to calculate the distance of the standard solutions of different environmental benefit evaluation indexes to obtain the quantitative assessment results of environmental benefits. Comparative experiments show that the spatial accuracy error is no more than 4%, the change curve of the environmental benefit evaluation index is relatively close to the average change curve, and the benefit evaluation time is less than 2 s.
Journal: Int. J. of Environmental Technology and Management
Pages: 95-107
Issue: 1/2
Volume: 25
Year: 2022
Keywords: multi-criteria decision making; landscape environment; benefit; quantitative evaluation.
File-URL: http://www.inderscience.com/link.php?id=120728
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:95-107
Template-Type: ReDIF-Article 1.0
Author-Name: Chunyan Li
Author-X-Name-First: Chunyan
Author-X-Name-Last: Li
Title: Landscape architecture environmental adaptability evaluation model based on improved genetic algorithm
Abstract:
In view of the fact that many environmental factors of landscape architecture are not considered in the evaluation model of landscape architecture environmental adaptability, which leads to low accuracy and long evaluation time, an evaluation model of landscape architecture environmental adaptability based on improved genetic algorithm is proposed. The real vector coding is used to select individual population, and the maximum and average fitness difference is solved to obtain the population entropy; the iterative crossover probability and mutation probability are used to realise the adaptive adjustment, and the genetic algorithm is improved by combining with the optimal retention strategy. Based on the improved adaptive genetic algorithm, the environmental adaptability evaluation system and membership functions were constructed, the weight of landscape environmental factors was determined, and the landscape environmental adaptability evaluation model was designed. The results show the highest accuracy is 95%, and the shortest evaluation time is 0.39 s.
Journal: Int. J. of Environmental Technology and Management
Pages: 77-94
Issue: 1/2
Volume: 25
Year: 2022
Keywords: improved genetic algorithm; population entropy; diversity measurement; landscape environment; adaptability evaluation.
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:77-94
Template-Type: ReDIF-Article 1.0
Author-Name: Fangling Zhang
Author-X-Name-First: Fangling
Author-X-Name-Last: Zhang
Title: Measurement method of green traffic vehicle exhaust emission based on spark algorithm
Abstract:
There are some problems in the traditional measurement methods of green traffic vehicle exhaust emissions, such as large measurement error and long measurement time. This paper proposes a measurement method of green traffic vehicle exhaust emissions based on spark algorithm. By extracting the green traffic vehicle trajectory, and preprocessing the vehicle trajectory data through the batch descent gradient method, according to the green traffic vehicle trajectory data, calculate the concentration of the substances in the vehicle exhaust, and obtain the green traffic vehicle exhaust emission index; map, overlay and grid it, and build the green traffic vehicle exhaust emission measurement model. With the help of spark streaming in spark algorithm to modify the green traffic vehicle emission measurement model, the optimal solution of the model is the optimal value of vehicle emission measurement. The results show that the error of the proposed method is always less than 3%.
Journal: Int. J. of Environmental Technology and Management
Pages: 65-76
Issue: 1/2
Volume: 25
Year: 2022
Keywords: spark algorithm; AIS data; driving trajectory; regional emissions; exhaust emissions.
File-URL: http://www.inderscience.com/link.php?id=120730
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:1/2:p:65-76
Template-Type: ReDIF-Article 1.0
Author-Name: J. Adeline Sneha
Author-X-Name-First: J. Adeline
Author-X-Name-Last: Sneha
Author-Name: Nor Hisham Haji Khamis
Author-X-Name-First: Nor Hisham Haji
Author-X-Name-Last: Khamis
Author-Name: Rekha Chakravarthi
Author-X-Name-First: Rekha
Author-X-Name-Last: Chakravarthi
Title: Identification of earthworm for sustainable agriculture - a review
Abstract:
Earthworms are considered as a friend of farmers. These fretful worms improve the air and water content in the dirt. When a worm dies, it decomposes into nitrogen and benefits the farmers. Nowadays, they are common prey for chemical contamination. Also, the agricultural farming today uses high quantity of pesticides to protect the crops from pest and diseases. By spraying pesticides, the lifecycle of earthworm is affected. This paper focuses on detailed study of earthworm and its importance on farming. It also deals with impact of chemicals on earthworm and its side effects. This paper discusses about the identification of earthworm in farmland and various methods for enhancing the growth of worms. This paper also focuses on the detailed description of various extraction methodologies of earthworms from the farms and gives the detailed analysis of merits and demerits of each extraction methods.
Journal: Int. J. of Environmental Technology and Management
Pages: 157-165
Issue: 3
Volume: 25
Year: 2022
Keywords: earthworm; earthworm identification; fertility of soil; pesticides.
File-URL: http://www.inderscience.com/link.php?id=122605
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:3:p:157-165
Template-Type: ReDIF-Article 1.0
Author-Name: Harikrishnan Hariharan
Author-X-Name-First: Harikrishnan
Author-X-Name-Last: Hariharan
Author-Name: V.B. Jyothy
Author-X-Name-First: V.B.
Author-X-Name-Last: Jyothy
Author-Name: Steffy P. Vinson
Author-X-Name-First: Steffy P.
Author-X-Name-Last: Vinson
Title: Development of bacteriocins from dairy wastes
Abstract:
Bacteriocins are of great interest due to their wide applicability in various fields including food industries. The present investigation aims on the preliminary evaluation on isolation of fluorescence bearing potent organisms and microbial peptides production having wide applicability. Soil sample collection was done from different areas including automobile workshop, waste water from industry outlets and sludge from dairy industry. Fluorescent pseudomonads were isolated and checked for the efficiency of bacteriocin production. Potential isolates were screened and bacteriocins were isolated. The microbial isolation results showed more potential isolates from the dairy industry waste than other sources. Bacteriocins are produced by non-pathogenic bacteria and are having great attention in the medical field. Also it will normally colonise the human body. The present investigation gives immense guarantee on developing a bacteriocin from the selected potential isolate.
Journal: Int. J. of Environmental Technology and Management
Pages: 210-217
Issue: 3
Volume: 25
Year: 2022
Keywords: bacteriocin; fluorescent pseudomonads; non-pathogenic bacteria; dairy waste.
File-URL: http://www.inderscience.com/link.php?id=122621
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:3:p:210-217
Template-Type: ReDIF-Article 1.0
Author-Name: Xiaohua Zhang
Author-X-Name-First: Xiaohua
Author-X-Name-Last: Zhang
Author-Name: Jiayue Xing
Author-X-Name-First: Jiayue
Author-X-Name-Last: Xing
Author-Name: Zong Gao
Author-X-Name-First: Zong
Author-X-Name-Last: Gao
Author-Name: Hongyu Zhang
Author-X-Name-First: Hongyu
Author-X-Name-Last: Zhang
Title: Evaluation method of solid construction waste recycling capacity based on AHP-fuzzy algorithm
Abstract:
The membership calculation of evaluation indexes is easy to be ignored in the evaluation of solid construction waste recycling capacity, resulting in large evaluation errors. Therefore, this paper proposes an evaluation method of solid construction waste recycling capacity based on AHP-fuzzy algorithm. Determine the type of solid construction waste through different sources and properties; determine the index of solid construction waste recycling according to the type of solid waste, and calculate the weight of capacity index with the help of AHP; on this basis, the membership degree of the evaluation index is obtained with the help of the judgement matrix, the fuzzy evaluation subset is determined by the weight decision matrix, the AHP-fuzzy comprehensive evaluation model is constructed, and the solid construction waste recycling capacity index is input to complete the solid construction waste recycling capacity evaluation. The results show that the error of the proposed method is only 0.5%.
Journal: Int. J. of Environmental Technology and Management
Pages: 273-284
Issue: 4
Volume: 25
Year: 2022
Keywords: AHP-fuzzy algorithm; solid construction waste; recycling capacity; judgement matrix; membership function.
File-URL: http://www.inderscience.com/link.php?id=124415
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Handle: RePEc:ids:ijetma:v:25:y:2022:i:4:p:273-284