Template-Type: ReDIF-Article 1.0 Author-Name: Huikai Zheng Author-X-Name-First: Huikai Author-X-Name-Last: Zheng Title: Spatial balance degree evaluation model of land use based on regional collaborative remote sensing observation Abstract: In order to overcome the low accuracy of the traditional spatial balance evaluation method for land use, this paper constructs a spatial balance evaluation model for land use based on regional collaborative remote sensing observation. The land use information is collected by regional collaborative remote sensing observation system, and the evaluation index system and balance degree evaluation model are constructed by synthesising the information. The supply capacity index and the spatial development intensity index in the evaluation model are calculated by the arithmetic average method and the geometric average method. The ratio between them is defined as the output of the model. The experimental results show that the accuracy of this method is always over 95%, and the evaluation time is less than 2.1 s, which can realise the rapid and accurate evaluation of the spatial balance of land use. Journal: Int. J. of Environmental Technology and Management Pages: 1-17 Issue: 1/2 Volume: 24 Year: 2021 Keywords: regional collaborative remote sensing; land use; spatial balance degree; evaluation. File-URL: http://www.inderscience.com/link.php?id=115725 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:1-17 Template-Type: ReDIF-Article 1.0 Author-Name: Shi-yi Cao Author-X-Name-First: Shi-yi Author-X-Name-Last: Cao Author-Name: Xi-jun Hu Author-X-Name-First: Xi-jun Author-X-Name-Last: Hu Title: Dynamic prediction of urban landscape pattern based on remote sensing image fusion Abstract: In order to overcome the problems of large prediction error and slow prediction speed in dynamic prediction method of urban landscape, a new dynamic prediction method of urban landscape pattern based on remote sensing image fusion is proposed. The high-resolution remote sensing image is preprocessed by atmospheric correction and radiometric correction to obtain the fusion result of high-resolution remote sensing image. The urban landscape information is extracted from the fusion results, and the corresponding urban landscape pattern analysis model is built. The landscape pattern index is set up in the model, and the dynamic prediction of urban landscape pattern is completed by combining the characteristics of index change with the driving force and image factors of urban pattern change. The experimental results show that the average prediction error is 1.56, and the operation delay is reduced by 2 s-3 s. Journal: Int. J. of Environmental Technology and Management Pages: 18-32 Issue: 1/2 Volume: 24 Year: 2021 Keywords: fusion; remote sensing image; urban landscape pattern; dynamic prediction. File-URL: http://www.inderscience.com/link.php?id=115726 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:18-32 Template-Type: ReDIF-Article 1.0 Author-Name: Sai Liu Author-X-Name-First: Sai Author-X-Name-Last: Liu Title: Spatial distribution characteristics of urban landscape pattern based on multi-source remote sensing technology Abstract: In order to overcome the low efficiency of feature extraction in traditional research methods for spatial distribution of urban landscape pattern, a new research method based on multi-source remote sensing technology is proposed. Combined with the idea of information entropy and grid division, the spatial secondary grid division of urban landscape pattern is completed by multi-source remote sensing technology. The probability density of spatial distribution of urban landscape pattern is calculated according to the results of secondary grid division. The scale pyramid is established to study the spatial distribution characteristics of urban landscape pattern. The experimental results show that the proposed method can effectively realise the research of spatial distribution characteristics of urban landscape pattern, with high efficiency of feature extraction, and the maximum extraction time is only 0.22 min. Journal: Int. J. of Environmental Technology and Management Pages: 33-48 Issue: 1/2 Volume: 24 Year: 2021 Keywords: multi-source remote sensing technology; urban landscape pattern space; distribution feature extraction; secondary grid division. File-URL: http://www.inderscience.com/link.php?id=115727 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:33-48 Template-Type: ReDIF-Article 1.0 Author-Name: Lede Niu Author-X-Name-First: Lede Author-X-Name-Last: Niu Author-Name: Mei Pan Author-X-Name-First: Mei Author-X-Name-Last: Pan Title: Research on dynamic simulation of land use change based on geographical weighted CLUE-S model Abstract: In order to overcome the problems of poor denoising effect, large quantitative accuracy error and large spatial accuracy error of current land use change simulation methods, a dynamic simulation method of land use change based on geographically weighted CLUE-S model was proposed. Using CLUE-S model to simulate the expansion of urban space, combined with geographic weighted logistic stepwise regression method, the influencing factors of land use change were analysed. The spatial distribution of future land use area is realised by iteration, and the spatial visualisation simulation of land use prediction is realised. The experimental results show that the signal-to-noise ratio of the proposed method is more than 85 dB, the quantitative and spatial accuracy errors are less than 4%, and the ROC value is close to 1, which proves that the spatial simulation effect is relatively good. Journal: Int. J. of Environmental Technology and Management Pages: 49-61 Issue: 1/2 Volume: 24 Year: 2021 Keywords: CLUE-S model; land use change; logistic stepwise regression; dynamic simulation. File-URL: http://www.inderscience.com/link.php?id=115728 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:49-61 Template-Type: ReDIF-Article 1.0 Author-Name: Jia-Jun Yi Author-X-Name-First: Jia-Jun Author-X-Name-Last: Yi Author-Name: Yan-Xiang Xiao Author-X-Name-First: Yan-Xiang Author-X-Name-Last: Xiao Title: Spatial-temporal evolution of complex urban landscape pattern based on remote sensing technology Abstract: In order to overcome the problem that the urban green landscape pattern construction effect is not ideal, this paper proposes the research method of spatio-temporal evolution of urban complex landscape pattern based on remote sensing technology. This method collects landscape pattern information. Landscape images are processed by radiometric correction and geometric correction, and spatial pattern indices are calculated. The experimental results show that: under the research method of spatiotemporal evolution of landscape pattern in this paper, the landscape area of dry land is reduced more, the transfer volume of residential, industrial and mining land and water area is less, and the stability is stronger. The density of landscape edge increased, indicating that the degree of landscape fragmentation in the city has a deepening trend. In terms of landscape spatial heterogeneity, the overall pattern tends to be coordinated, which indicates that the proposed method has good application performance. Journal: Int. J. of Environmental Technology and Management Pages: 62-76 Issue: 1/2 Volume: 24 Year: 2021 Keywords: remote sensing technology; landscape pattern; temporal and spatial evolution. File-URL: http://www.inderscience.com/link.php?id=115729 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:62-76 Template-Type: ReDIF-Article 1.0 Author-Name: Wei Li Author-X-Name-First: Wei Author-X-Name-Last: Li Author-Name: Chan Lu Author-X-Name-First: Chan Author-X-Name-Last: Lu Author-Name: Shi-Yi Cao Author-X-Name-First: Shi-Yi Author-X-Name-Last: Cao Title: Dynamic remote sensing monitoring of land cover in ecological protection area based on GIS technology Abstract: In order to overcome the problems of large image deviation and unsatisfactory details retention in traditional monitoring methods, a new remote sensing dynamic monitoring research of land cover in ecological protection area based on GIS technology was proposed. In this method, the combination of joint entropy and optimal index is used to analyse and collect remote sensing images. The geometric distortion is corrected by using the binary homogeneous polynomial correction transformation formula. According to the image enhancement, the invalid information of the image is removed, and the land cover type change is described. Finally, the prediction of land cover dynamic change in the future is completed by creating Markov model. The experimental results show that the accuracy of the land cover remote sensing image data obtained is high, the land cover monitoring rate is 73%, the pixel accuracy is more than 90%, and the edge information maintenance advantage is significant. Journal: Int. J. of Environmental Technology and Management Pages: 77-92 Issue: 1/2 Volume: 24 Year: 2021 Keywords: geographic information system; GIS technology; ecological protection area; land cover; dynamic remote sensing monitoring. File-URL: http://www.inderscience.com/link.php?id=115730 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:77-92 Template-Type: ReDIF-Article 1.0 Author-Name: Hong-Tao Xing Author-X-Name-First: Hong-Tao Author-X-Name-Last: Xing Title: The spatial pattern planning method of rural landscape based on remote sensing technology Abstract: In order to overcome the improvement of individual rural landscape that cannot meet the needs of the overall development of rural areas, this paper proposes a new method of spatial pattern planning of rural landscape based on remote sensing technology. This method combines the spatial analysis of remote sensing technology, landscape index analysis and system clustering method to study the spatial pattern characteristics of rural landscape and divide them. Then through the methods of spatial statistics, the paper studies the factors that affect the spatial pattern of rural landscape, and finally gives a spatial pattern planning of rural landscape scheme that meets the needs of rural development. The experimental results show that the construction cost is less than 30,000 yuan, the planning time is at least 0.582 h, and the economic benefit is at most 231,400 yuan, which fully verifies the effectiveness and practicability of the proposed method. Journal: Int. J. of Environmental Technology and Management Pages: 93-106 Issue: 1/2 Volume: 24 Year: 2021 Keywords: remote sensing technology; rural landscape; spatial pattern planning. File-URL: http://www.inderscience.com/link.php?id=115731 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:93-106 Template-Type: ReDIF-Article 1.0 Author-Name: Yuan Shui Author-X-Name-First: Yuan Author-X-Name-Last: Shui Author-Name: Lu Gan Author-X-Name-First: Lu Author-X-Name-Last: Gan Title: An integrated planning method for open space of urban street landscape based on remote sensing technology Abstract: In order to overcome the problems of poor quality and low comprehensive score of traditional landscape open space planning methods, this paper proposes a new landscape integration planning method of street open space based on remote sensing technology. This method uses remote sensing technology to investigate the open space, and the remote sensing image is corrected, enhanced, and image data fusion pre-processed. Through setting the landscape index of urban open space to determine the spatial distribution pattern, combined with the scale, structure, type and function of urban street landscape open space, the relevant pattern index is determined to realise the integrated planning of spatial landscape. The results showed that the greening rate increased by 91.8%. The boundary continuity index was increased by 0.68, the green coverage, biodiversity and traffic flow index were increased by 0.145, 0.235 and 0.983, respectively, while the spatial structure (SS) index was increased by 0.967. Journal: Int. J. of Environmental Technology and Management Pages: 107-119 Issue: 1/2 Volume: 24 Year: 2021 Keywords: remote sensing technology; urban street; open space; integrated planning. File-URL: http://www.inderscience.com/link.php?id=115732 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:107-119 Template-Type: ReDIF-Article 1.0 Author-Name: Wentao Lei Author-X-Name-First: Wentao Author-X-Name-Last: Lei Author-Name: Hui Yang Author-X-Name-First: Hui Author-X-Name-Last: Yang Author-Name: Miao Tang Author-X-Name-First: Miao Author-X-Name-Last: Tang Title: Extraction of carbon emission feature in urban residential area based on remote sensing technology Abstract: In order to overcome the problem of low carbon emission, characteristics extraction method based on remote sensing technology was proposed. Remote sensing technology is used to obtain the remote sensing image of urban residential area. The noise of the remote sensing image is removed, and the radiation of the remote sensing image is corrected to complete the remote sensing image pre-processing. The range of carbon emissions in urban residential areas is obtained by gradient adaptive threshold method. According to the range measurement results, the carbon emission characteristic model is constructed by using the emission method, and the carbon emission characteristics of urban residential areas are extracted. The experimental results show that the proposed method can quickly and accurately extract the carbon emission characteristics of urban residential areas, and the shortest extraction time is only 0.57 min. Journal: Int. J. of Environmental Technology and Management Pages: 120-134 Issue: 1/2 Volume: 24 Year: 2021 Keywords: remote sensing technology; urban residential area; carbon emission; feature extraction. File-URL: http://www.inderscience.com/link.php?id=115733 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:1/2:p:120-134 Template-Type: ReDIF-Article 1.0 Author-Name: Nabnit Panigrahi Author-X-Name-First: Nabnit Author-X-Name-Last: Panigrahi Author-Name: Sruti Ranjan Mishra Author-X-Name-First: Sruti Ranjan Author-X-Name-Last: Mishra Title: Energy and exergy analysis of a CI engine fuelled with blend of liquid hydrocarbon waste plastics fuels and diesel Abstract: The paper aims to highlight the importance of renewable energy in the contemporary world facing a range of environmental challenges. It brings out the conceptual, theoretical and methodological use of alternative fuel through an experimentation conducted in our research institute. The present work involves the energy and exergy analysis of a 5.9 kW diesel engine fuelled with diesel and WPE10 [10% of low-density polyethylene (LDPE) oil blended with 90% diesel by volume]. The LDPE oil was obtained at optimum condition of kaolin catalysed pyrolysis method. The analysis was conducted on per mole of fuel and on stoichiometric basis. The energy and exergy analysis was carried out by using 1st law and 2nd law of thermodynamics, respectively. The energetic and exergetic performance of WPE10 resembles with the diesel fuel which can be a substitute as an alternative fuel. The use of plastic waste for creating fuel is a step towards plastic waste management. The attempt of this paper is for a larger contribution to sustainable development. Journal: Int. J. of Environmental Technology and Management Pages: 424-441 Issue: 5/6 Volume: 24 Year: 2021 Keywords: low-density polyethylene; LDPE; diesel engine; energy; exergy. File-URL: http://www.inderscience.com/link.php?id=117296 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:424-441 Template-Type: ReDIF-Article 1.0 Author-Name: Xiuyuan Lu Author-X-Name-First: Xiuyuan Author-X-Name-Last: Lu Author-Name: Li Zhao Author-X-Name-First: Li Author-X-Name-Last: Zhao Author-Name: Kaijian Wu Author-X-Name-First: Kaijian Author-X-Name-Last: Wu Title: Simulation experimental study on the influence of plow pan on water infiltration in dry land Abstract: In order to study the influence of plow pan on water infiltration in dry land, a series of experiments were carried out with soil blocks, water and Mariotte bottle. The experimental results indicate that: 1) the Kostiakov model, Horton model and Philip model all apply to describing the relation between accumulative infiltration capacity and infiltration time in various experimental situations of this study, and the minimum of correlation coefficient R<SUP align="right"><SMALL>2</SMALL></SUP> can reach to 0.991; 2) the plow pan structure existing in the soil has an evident infiltration resistant and reducing effect on the distribution of infiltrated water. The research conclusions further show the influencing rule of plow pan on the infiltration process of water and its distribution. This research provides a basis for scientific design of irrigation systems and schedules, improves irrigation efficiency, and gives guidance to the breaking down of plow pan in agricultural production. Journal: Int. J. of Environmental Technology and Management Pages: 474-492 Issue: 5/6 Volume: 24 Year: 2021 Keywords: plow pan; water infiltration process; distribution of infiltrated water; Kostiakov model; Horton model; Philip model. File-URL: http://www.inderscience.com/link.php?id=117297 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:474-492 Template-Type: ReDIF-Article 1.0 Author-Name: Shuying Shang Author-X-Name-First: Shuying Author-X-Name-Last: Shang Author-Name: Ze-ming Chen Author-X-Name-First: Ze-ming Author-X-Name-Last: Chen Title: Innovation of enterprise environmental cost management path from the perspective of sustainable development Abstract: As the world's population increases, global environmental problems have become increasingly prominent. How to effectively control environmental costs has become an urgent problem for many companies to think about and solve. From the perspective of environmental cost management, this paper establishes an environmental cost management model and compares it with the traditional environmental cost management model. Taking HL Company as an example, the survey found that the environmental cost of HL Company increased from 17.03% in 2015 to 17.86% in 2018; its production and management costs increased from 12.66% to 14.69%; the lost material cost rose from 30.6% to 33.7%. Applying the environmental cost management model established in this article to the company's environmental cost management, it provides a good analysis of the company's environmental cost accounting, provides many practical suggestions, it also further verified the effectiveness of the environmental cost management model proposed in this paper. Journal: Int. J. of Environmental Technology and Management Pages: 346-363 Issue: 5/6 Volume: 24 Year: 2021 Keywords: sustainable development; environmental cost management; loss cost; material flow cost accounting; MFCA. File-URL: http://www.inderscience.com/link.php?id=117298 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:346-363 Template-Type: ReDIF-Article 1.0 Author-Name: XiaoMin Liu Author-X-Name-First: XiaoMin Author-X-Name-Last: Liu Author-Name: Haiyan Liu Author-X-Name-First: Haiyan Author-X-Name-Last: Liu Author-Name: Zheng Wan Author-X-Name-First: Zheng Author-X-Name-Last: Wan Author-Name: Lifei Wang Author-X-Name-First: Lifei Author-X-Name-Last: Wang Author-Name: Haifeng Pei Author-X-Name-First: Haifeng Author-X-Name-Last: Pei Title: Simulation research of water flowing fracture zone of overburden strata in fully mechanised caving mining Abstract: Fully mechanised caving mining is widely used because it can quickly convert coal resources into productivity advantages. The water resources of Bayangol coal mine is scarce and the vegetation coverage rate is low. The evolution of the water flowing fracture zone in overburden strata under the fully mechanised caving mining conditions is unknown, and the impact on the ecological environment cannot be predicted. Therefore, this paper took the 311101 working face as the research object, adopted theoretical analysis, FLAC<SUP align="right"><SMALL>3D</SMALL></SUP> numerical simulation and other methods to carry out the study on the evolution of water flowing fracture zone in fully mechanised caving mining in Bayangol coal mine. Through the integrated application of different methods, the development height of the water flowing fracture zone of 311101 working face is determined, and the evolution of the water flowing fracture zone in overburden strata of the fully mechanised caving mining in Bayangol coal mine is preliminarily revealed, which provides guidance and reference for the subsequent working face mining. Journal: Int. J. of Environmental Technology and Management Pages: 457-473 Issue: 5/6 Volume: 24 Year: 2021 Keywords: water flowing fracture zone; numerical simulation; evolution; mine. File-URL: http://www.inderscience.com/link.php?id=117299 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:457-473 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaotang Xia Author-X-Name-First: Xiaotang Author-X-Name-Last: Xia Author-Name: Tingyang Li Author-X-Name-First: Tingyang Author-X-Name-Last: Li Title: Demonstration of urban environmental protection planning and ecological construction index system Abstract: Environmental protection has always been an issue that our country attaches great importance to. Although China's economy has developed rapidly in recent years, environmental protection construction is still in its infancy. This paper analyses the urban planning and ecological environment protection construction in depth, uses the multi-level grey correlation method to determine the influence weight of each factor, and establishes the urban ecological evaluation index system and evaluation model on the level. At the same time, take Shenzhen as an example to analyse the status quo and trends of indicators, analyse Shenzhen's advantages and resistance in urban ecological construction, and provide basic data of constructive significance for Shenzhen's ecological construction, so as to build a harmonious development between humans and nature, provide reference information for sustainable cities with a high degree of social and economic integration. Journal: Int. J. of Environmental Technology and Management Pages: 311-328 Issue: 5/6 Volume: 24 Year: 2021 Keywords: urban environmental protection planning; ecological construction; index system; multi-level grey correlation method. File-URL: http://www.inderscience.com/link.php?id=117300 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:311-328 Template-Type: ReDIF-Article 1.0 Author-Name: Yan Mu Author-X-Name-First: Yan Author-X-Name-Last: Mu Author-Name: Yongxing Wang Author-X-Name-First: Yongxing Author-X-Name-Last: Wang Author-Name: Jiyan Zou Author-X-Name-First: Jiyan Author-X-Name-Last: Zou Title: Reliability analysis of vacuum circuit breaker with permanent magnet material actuator based on competitive failure model Abstract: Of late, the permanent magnetic actuator has been used widely in the vacuum circuit breaker. The permanent magnet mechanism explored in this paper adopts the NdFeB permanent magnet. An important indicator of its reliability is the mechanical life of the vacuum circuit breakers (VCBs). In this study, 12 KV permanent magnet-operated VCBs have been tested for their mechanical fidelity. With the degradation failure following the Gaussian process and the traumatic failure of the Weibull distribution, the competition failure model has been established by considering the correlation between the two failure modes. The model parameter estimation was determined using the EM algorithm. Eventually, the reliability of the model was attained. This paper evaluates the results of different methods have been compared and analysed, which further proved that the method proposed in this paper had better evaluation accuracy and certain specific value for engineering application. Journal: Int. J. of Environmental Technology and Management Pages: 390-403 Issue: 5/6 Volume: 24 Year: 2021 Keywords: reliability; degradation failure; traumatic failure; competing failure; vacuum circuit breaker; permanent magnetic actuator; competing model; Gaussian process; Weibull distribution; model parameter estimation. File-URL: http://www.inderscience.com/link.php?id=117301 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:390-403 Template-Type: ReDIF-Article 1.0 Author-Name: Lu Zhang Author-X-Name-First: Lu Author-X-Name-Last: Zhang Author-Name: Zhen Tang Author-X-Name-First: Zhen Author-X-Name-Last: Tang Author-Name: Sulu Zhu Author-X-Name-First: Sulu Author-X-Name-Last: Zhu Author-Name: Yuan Song Author-X-Name-First: Yuan Author-X-Name-Last: Song Title: Strategic relationship between water conservancy project construction and environmentally sustainable development Abstract: Although the construction of water conservancy projects has promoted economic development, it has also caused great damage to the social environment to a certain extent. Research on water conservancy project construction is of great significance for promoting sustainable development. This article first deeply studied the relationship between water conservancy project construction and environmental protection, then put forward constructive opinions on how to plan water conservancy project construction scientifically and rationally, and finally carried out simulation experiments using examples. The experimental results show that the method proposed in this article can effectively reduce the environmental impact of water conservancy project construction and promote economic growth. Journal: Int. J. of Environmental Technology and Management Pages: 442-456 Issue: 5/6 Volume: 24 Year: 2021 Keywords: water conservancy project; environmental construction; sustainable development; strategic relationship. File-URL: http://www.inderscience.com/link.php?id=117302 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:442-456 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaoying Wan Author-X-Name-First: Xiaoying Author-X-Name-Last: Wan Title: Integration of industry and city and economic development based on environmental sustainable development Abstract: With the further development of industrialisation and urbanisation, urban environmental problems have become increasingly prominent. How to achieve the integration and integrated development of urban environment and economy on the basis of maintaining sustainable development has become an urgent problem to be solved. This paper takes Jiangxi Province as an example, and uses the grey relational analysis method to explore the problems existing in the development of Jiangxi Province's product-oriented cities. The research results show that from 2011 to 2019, the degree of industrial integration in Jiangxi Province increased from 0.312 to 0.770, showing a clear growth trend. This article concludes that the sustainable development of the environment is negatively related to industry, and only by integrating industrial integration and promoting the upgrading of industrial structure can the integrated development of cities be realised. Journal: Int. J. of Environmental Technology and Management Pages: 329-345 Issue: 5/6 Volume: 24 Year: 2021 Keywords: environmental sustainable development; integration of industry and city; economic development; grey relational degree analysis. File-URL: http://www.inderscience.com/link.php?id=117304 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:329-345 Template-Type: ReDIF-Article 1.0 Author-Name: Qiang Mao Author-X-Name-First: Qiang Author-X-Name-Last: Mao Title: Evaluation method and promotion countermeasures of green competitiveness for industrial enterprises under the background of environmental protection Abstract: Industrial enterprises are the foundation of the real economy and an important support for building strategic advantages for future development. The industrialisation process has created unprecedented material wealth for our country, but also produced irreparable environmental pollution. To comprehensively and objectively reflect the sustainable development ability of industrial enterprises, an evaluation method of green competitiveness for industrial enterprises is proposed. First, the construction principle of evaluation indices is put forward, and then the evaluation indices system of green competitiveness for industrial enterprises is constructed. In addition, in order to highlight the democratic characteristics of decision-making, an evaluation method of green competitiveness based on stakeholder perspective is proposed. Moreover, the green competitiveness of industrial enterprises in 14 cities is evaluated by using the evaluation method. Finally, the development countermeasures are put forward to promote the green competitiveness of industrial enterprises based on the evaluation results. Journal: Int. J. of Environmental Technology and Management Pages: 364-374 Issue: 5/6 Volume: 24 Year: 2021 Keywords: green competitiveness; industrial enterprises; evaluation method; promotion countermeasures. File-URL: http://www.inderscience.com/link.php?id=117305 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:364-374 Template-Type: ReDIF-Article 1.0 Author-Name: Hongxia Liu Author-X-Name-First: Hongxia Author-X-Name-Last: Liu Author-Name: Aidan Moore Author-X-Name-First: Aidan Author-X-Name-Last: Moore Title: The detection method for uneven settlement of foundation in the area of industrial waste miscellaneous filling Abstract: In order to overcome the problems of large error and long time in the detection process of traditional foundation subsidence detection methods, this paper proposes a multi-feature fusion based detection method for uneven foundation subsidence in the area of mixed industrial waste. The method USES wavelet transform technology to filter the ground image of the industrial waste filling area and improves the accuracy and timeliness of settlement detection fundamentally. After obtaining the optimal threshold values of different sub-blocks of the foundation image, combined with the multi-scale ridge edge fusion algorithm, the uneven settlement of the foundation area was detected by the feature fusion process. The experimental results show that the detection error of this method is basically kept below 4%, the detection process takes less than 50ms all the time, and the detection cost is less than 60,000 yuan, which fully demonstrates the effectiveness of this method. Journal: Int. J. of Environmental Technology and Management Pages: 135-149 Issue: 3/4 Volume: 24 Year: 2021 Keywords: industrial waste miscellaneous filling area; uneven settlement of foundation; settlement detection; multi-feature fusion. File-URL: http://www.inderscience.com/link.php?id=116805 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:135-149 Template-Type: ReDIF-Article 1.0 Author-Name: Hongbing Yu Author-X-Name-First: Hongbing Author-X-Name-Last: Yu Title: The purification mechanism of industrial wastewater by aquatic garden plants Abstract: In order to solve the current water pollution problem caused by industrial wastewater, the purification mechanism of aquatic garden plants on industrial wastewater is analysed and studied. The treatment process and influencing factors of plants in the purification process are analysed separately, and the purification mechanism of aquatic garden plants on different pollutant components in industrial wastewater is derived from a theoretical perspective. In order to verify the analysis results of the purification mechanism, the actual measurement analysis experiment of the purification effect of aquatic garden plants on industrial wastewater was designed. The experimental results show that aquatic garden plants can effectively reduce the content of TN, TP, COD, NH4+-N and heavy metals in industrial wastewater, and therefore have a high purification effect on industrial wastewater. Among a variety of aquatic garden plants, water onions and Canna's purifying effect is more obvious, and the removal rate can reach 83%. Journal: Int. J. of Environmental Technology and Management Pages: 150-167 Issue: 3/4 Volume: 24 Year: 2021 Keywords: hydrophyte; garden plant; industrial wastewater; purification mechanism. File-URL: http://www.inderscience.com/link.php?id=116806 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:150-167 Template-Type: ReDIF-Article 1.0 Author-Name: Fang-Lian Li Author-X-Name-First: Fang-Lian Author-X-Name-Last: Li Author-Name: Yue-Guang Xu Author-X-Name-First: Yue-Guang Author-X-Name-Last: Xu Title: Study on plant landscape planning method based on discrete particle swarm optimisation Abstract: In order to solve the problems of low planning accuracy and high cost in traditional landscape plant landscape planning methods, a plant landscape planning method based on discrete particle swarm optimisation (DPSO) was proposed. The three-dimensional coordinate system of plant landscape planning path is transformed to determine the plant landscape planning path. The nonlinear programming mathematical model is used to constrain the plant landscape planning path, and the fitness objective function of plant landscape planning is obtained. The particle swarm optimisation algorithm is used to optimise the plant landscape planning path, and the particle swarm optimisation algorithm is used to improve the plant landscape planning path. The convergence was optimised to complete the plant landscape planning. The experimental results show that the accuracy of path planning is up to 98% and the aesthetic degree of plant landscape is more than 95%. Journal: Int. J. of Environmental Technology and Management Pages: 184-199 Issue: 3/4 Volume: 24 Year: 2021 Keywords: discrete particle swarm optimisation algorithm; plant landscape planning; nonlinear programming mathematical model; penalty function; fitness function. File-URL: http://www.inderscience.com/link.php?id=116807 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:184-199 Template-Type: ReDIF-Article 1.0 Author-Name: Yuanchun Ding Author-X-Name-First: Yuanchun Author-X-Name-Last: Ding Title: Ecological garden plant configuration method based on attribute analytic hierarchy process model Abstract: In order to solve the problems of poor accuracy and long time-consuming in traditional ecological garden plant configuration methods, a method of ecological garden plant configuration based on attribute AHP model was proposed. This paper analyses the principles of ecological garden plant configuration, designs the ecological garden configuration method; selects the index factors affecting the plant configuration, constructs hierarchical structure, obtains the relative attribute measurement and measurement weight of ecological garden landscape, and analyses the plant attribute of ecological garden; builds the directed graph, clarifies the weight relationship between plant configuration, constructs the attribute hierarchy analysis model, and adopts triangular fuzzy evaluation The price algorithm evaluates the results of plant configuration and completes the ecological garden plant configuration. The experimental results show that the accuracy of the proposed method is up to 98%, and the survival rate of plants after configuration is higher than 90%. Journal: Int. J. of Environmental Technology and Management Pages: 168-183 Issue: 3/4 Volume: 24 Year: 2021 Keywords: attribute analytic hierarchy process model; ecological garden; plant configuration. File-URL: http://www.inderscience.com/link.php?id=116808 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:168-183 Template-Type: ReDIF-Article 1.0 Author-Name: Zhengfa Xie Author-X-Name-First: Zhengfa Author-X-Name-Last: Xie Title: The environmental protection path of world cultural heritage sites from the perspective of circular economy Abstract: This article aims to study the environmental protection issues of world cultural heritage sites from the perspective of circular economy. This article uses big data analysis methods, using surveys, interviews, statistics and other techniques to investigate people's understanding of the circular economy and the environmental protection of world cultural heritage sites. The results show that about 55% of college students have only a little understanding of circular economy, about 58% of college students believe that the environmental protection of world cultural heritage sites is very necessary; at the same time, 64.5% of people can fully realise the importance of environmental protection. In addition, most people believe that the environmental protection of world cultural heritage sites can effectively protect world cultural heritage, promote economic development, sustainable social development, and improve social civilisation. Journal: Int. J. of Environmental Technology and Management Pages: 493-507 Issue: 5/6 Volume: 24 Year: 2021 Keywords: environmental protection; world cultural heritage sites; circular economy; economic perspective. File-URL: http://www.inderscience.com/link.php?id=117321 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:493-507 Template-Type: ReDIF-Article 1.0 Author-Name: XiaoMin Liu Author-X-Name-First: XiaoMin Author-X-Name-Last: Liu Author-Name: Haibin Shi Author-X-Name-First: Haibin Author-X-Name-Last: Shi Author-Name: Zheng Wan Author-X-Name-First: Zheng Author-X-Name-Last: Wan Author-Name: Haiyan Liu Author-X-Name-First: Haiyan Author-X-Name-Last: Liu Author-Name: Xiaoxu Liu Author-X-Name-First: Xiaoxu Author-X-Name-Last: Liu Title: Evaluation of the construction of water rights transaction system in the Yellow River Basin Abstract: The water rights market has not yet been developed, water rights transaction system has not yet been formed in China. To solve these problems, the current states of water rights in China are outlined at first. At second, taking the Yellow River Basin of Inner Mongolia as a case study, the water rights transaction system in the Yellow River Basin of Inner Mongolia Autonomous Region is introduced. At last, the system are evaluated from the aspects such as water rights transaction parties, tradable water rights, transaction procedure, transaction price and transaction period. It is conducive to promoting the construction of a fair and orderly water rights transaction market with Chinese characteristics, and provides decision-making reference for improving China's water rights management system. Journal: Int. J. of Environmental Technology and Management Pages: 404-423 Issue: 5/6 Volume: 24 Year: 2021 Keywords: water rights transaction; water market; the Yellow River Basin; price leverage; Chinese characteristics; numerical simulation. File-URL: http://www.inderscience.com/link.php?id=117322 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:404-423 Template-Type: ReDIF-Article 1.0 Author-Name: Di Yao Author-X-Name-First: Di Author-X-Name-Last: Yao Title: Application of GIS remote sensing information integration in eco-environmental quality monitoring Abstract: With the development of society, people pay more and more attention to ecological environment protection. Monitoring the ecological environment with scientific methods plays a key role in protecting the ecological environment. This paper aims to solve the comprehensive application of GIS and the application of remote sensing information in ecological environment quality monitoring. The research results show that the application of GIS and the application of remote sensing information integration technology in monitoring have effectively improved the quality of the ecological environment and improved the accuracy of the environment, verifying that the remote sensing information collection of GIS has played an important role in ecological monitoring. Journal: Int. J. of Environmental Technology and Management Pages: 375-389 Issue: 5/6 Volume: 24 Year: 2021 Keywords: GIS remote sensing information integration; ecological environment; environmental monitoring; data collection. File-URL: http://www.inderscience.com/link.php?id=117328 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:5/6:p:375-389 Template-Type: ReDIF-Article 1.0 Author-Name: Kexue Liu Author-X-Name-First: Kexue Author-X-Name-Last: Liu Author-Name: Lingyu Xia Author-X-Name-First: Lingyu Author-X-Name-Last: Xia Author-Name: Jianbo Xu Author-X-Name-First: Jianbo Author-X-Name-Last: Xu Title: Environmental impact assessment model of overall land-use planning based on BP artificial neural network Abstract: In view of the problems existing in the evaluation methods of land overall planning, such as excessive evaluation error and large root mean square error, this paper proposes to design an effective environmental impact assessment model for land overall planning. The influence of social, economic and ecological environment in the overall land planning was analysed to build the environmental impact index system of the overall land planning. GRNN was used to screen the indexes with different degrees of influence, MIV was introduced to screen the index values, and rank correlation coefficient among the indexes was controlled. The indexes obtained after screening were input into BP artificial neural network to build an environmental impact assessment model of overall land planning. The experimental show that the mean absolute error is about 1.6%, and minimum root-mean-square error is about 0.01. Journal: Int. J. of Environmental Technology and Management Pages: 214-230 Issue: 3/4 Volume: 24 Year: 2021 Keywords: BP artificial neural network; overall planning; index overlap; GRNN network filtering; MIV screening index; environmental impact assessment model. File-URL: http://www.inderscience.com/link.php?id=116823 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:214-230 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: Yan Zhou Author-X-Name-First: Yan Author-X-Name-Last: Zhou Author-Name: Liran Xiong Author-X-Name-First: Liran Author-X-Name-Last: Xiong Title: Analysis on evolution characteristics of spatial expansion pattern of urban agglomeration construction land based on environmental characteristics Abstract: The feature extraction accuracy and efficiency of traditional urban agglomeration construction land spatial expansion pattern evolution characteristics analysis methods still need to be further improved. Therefore, an analysis method of urban agglomeration construction land spatial expansion pattern evolution characteristics based on environmental characteristics is proposed. This method uses Gaussian weighting function to select remote sensing image feature points of urban agglomeration construction land and extract urban environmental features. According to the extraction results, the expansion parameters of urban agglomeration construction land are calculated, and the evolution characteristic analysis function is constructed. Experimental results show that the proposed method analyse the evolution of the characteristics, can be effectively extracting features of the evolution pattern of city group extension, and has a high efficiency, the maximum efficiency of the analysis and the extraction accuracy of 96% and 98%, respectively. Journal: Int. J. of Environmental Technology and Management Pages: 264-277 Issue: 3/4 Volume: 24 Year: 2021 Keywords: environmental characteristics; urban agglomeration construction land; spatial expansion pattern; Gaussian weighting function; feature point selection. File-URL: http://www.inderscience.com/link.php?id=116824 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:264-277 Template-Type: ReDIF-Article 1.0 Author-Name: Aina Qi Author-X-Name-First: Aina Author-X-Name-Last: Qi Author-Name: Qi Wu Author-X-Name-First: Qi Author-X-Name-Last: Wu Author-Name: Guanglei Zhao Author-X-Name-First: Guanglei Author-X-Name-Last: Zhao Title: Research on the vulnerability of ecological water resources under continuous precipitation based on spatial heterogeneity Abstract: In order to overcome the problem of high error of water resources vulnerability assessment results existing in traditional assessment methods, this paper proposes an assessment method of ecological water resources vulnerability under continuous precipitation environment based on spatial heterogeneity. First of all, the analysis of the effect of continuous precipitation of ecological water environment, in the judgment of water resources developed on the basis of the degree of spatial heterogeneity of the ecological vulnerability of water resources evaluation system, and then set the natural factors and human factors, load factors for the primary index, water quality, water quantity, flood, drought, as secondary indexes, and combining the entropy weight method and the linear weighted method for evaluation of the ecological vulnerability of water resources. The experimental results show that the absolute error of the vulnerability index evaluation results calculated by this method is always less than 0.04, and the relative evaluation error is always less than 3%, indicating that the evaluation results of this method are more reliable and more practical. Journal: Int. J. of Environmental Technology and Management Pages: 231-247 Issue: 3/4 Volume: 24 Year: 2021 Keywords: spatial heterogeneity; ecological water resources; vulnerability evaluation; index system; entropy weight method; continuous precipitation environment. File-URL: http://www.inderscience.com/link.php?id=116826 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:231-247 Template-Type: ReDIF-Article 1.0 Author-Name: Wenqing Sun Author-X-Name-First: Wenqing Author-X-Name-Last: Sun Title: Hierarchical planning method of garden plant in landscape space under the concept of sustainable development Abstract: In order to overcome the problems of low precision of landscape feature extraction and high planning cost in traditional landscape plant landscape planning methods, a hierarchical planning method of landscape plant landscape space under the concept of sustainable development was proposed. This paper analyses the characteristics and risks of the sustainable development of landscape architecture, calculates the planning risks and extracts the planning features, calculates the design conditions of the plant landscape area under the constraints of the basic requirements of the spatial hierarchical planning and design of the garden plant landscape, and completes the spatial hierarchical planning of the garden plant landscape under the concept of sustainable development. The experimental results show that the proposed landscape spatial hierarchical planning method has a high accuracy of landscape feature extraction, the highest extraction accuracy can reach 98%, effectively reduce the planning cost, and the highest reduction is 19.01 thousand yuan. Journal: Int. J. of Environmental Technology and Management Pages: 200-213 Issue: 3/4 Volume: 24 Year: 2021 Keywords: sustainable development concept; garden plant in landscape space; spatial hierarchical planning; spatial layout; landscape design. File-URL: http://www.inderscience.com/link.php?id=116827 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:200-213 Template-Type: ReDIF-Article 1.0 Author-Name: Zhongfeng Jiang Author-X-Name-First: Zhongfeng Author-X-Name-Last: Jiang Author-Name: Hongbin Gao Author-X-Name-First: Hongbin Author-X-Name-Last: Gao Author-Name: Li Wu Author-X-Name-First: Li Author-X-Name-Last: Wu Author-Name: Yanan Li Author-X-Name-First: Yanan Author-X-Name-Last: Li Author-Name: Bifeng Cui Author-X-Name-First: Bifeng Author-X-Name-Last: Cui Title: A prediction model of shallow groundwater pollution based on deep convolution neural network Abstract: In order to solve the problems that the shallow groundwater pollution is affected by water quality in the prediction process, resulting in the low prediction index and water quality index of shallow groundwater pollution, a prediction model of shallow groundwater pollution based on deep convolution neural network is proposed. The index system of shallow groundwater pollution is constructed, and contents of dissolved oxygen, oxygen demand, ammonia nitrogen and pH in shallow groundwater are determined. With the help of gradient descent method and Guss-Newton method, the weight of index content is modified; the modified content value of pollution index is entered into the depth convolution neural network for optimisation, and the optimised value is obtained to complete the shallow groundwater pollution prediction model. The experimental results show that the maximum prediction index of shallow groundwater pollution is about 0.99, and the maximum value of water quality index is close to 1. Journal: Int. J. of Environmental Technology and Management Pages: 278-293 Issue: 3/4 Volume: 24 Year: 2021 Keywords: deep convolution neural network; water pollution; water quality; prediction model. File-URL: http://www.inderscience.com/link.php?id=116828 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:278-293 Template-Type: ReDIF-Article 1.0 Author-Name: Feng Liu Author-X-Name-First: Feng Author-X-Name-Last: Liu Author-Name: Bing Han Author-X-Name-First: Bing Author-X-Name-Last: Han Author-Name: Weifeng Qin Author-X-Name-First: Weifeng Author-X-Name-Last: Qin Author-Name: Liang Wu Author-X-Name-First: Liang Author-X-Name-Last: Wu Author-Name: Sumin Li Author-X-Name-First: Sumin Author-X-Name-Last: Li Title: A prediction method of urban water pollution based on improved BP neural network Abstract: The existing methods for urban water pollution prediction have some problems, such as large prediction error and inconsistency with the actual pollution situation. A new urban water pollution prediction method is proposed. The water pollution data collection system of mobile GIS is used to collect urban water pollution data, analyse the overall structure of the water pollution data collection system, and classify the obtained urban water pollution data at different levels. The application concept of BP neural network is clarified, and the obtained urban water pollution data is entered into the network to obtain the urban water pollution prediction results. Genetic algorithm is used to improve the weights and thresholds obtained above, and the urban water pollution prediction model is constructed, and the prediction results of urban water pollution are output. Through the effective experimental analysis, it is concluded that the minimum error value is about 0.1%, and the prediction time is consistent with the actual time consumption. Journal: Int. J. of Environmental Technology and Management Pages: 294-306 Issue: 3/4 Volume: 24 Year: 2021 Keywords: urban water pollution; data acquisition; bp neural network; genetic algorithm; threshold. File-URL: http://www.inderscience.com/link.php?id=116829 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:294-306 Template-Type: ReDIF-Article 1.0 Author-Name: Min Yu Author-X-Name-First: Min Author-X-Name-Last: Yu Title: Research on urban landscape planning method based on GIS Abstract: The traditional urban landscape planning method for complex terrain and environment factor analysis is relatively vague, resulting in low planning efficiency and high spatial accuracy error. Therefore, a landscape planning method considering environmental pollution is proposed. Firstly, the geographic information system (GIS) technology platform is introduced. Through vector data and raster data, the terrain and terrain are analysed. Considering the light pollution of the garden night scene, the night scene lighting mode is designed, the influence of different light sources on the surrounding environment is analysed, plant species are analysed, and according to the characteristics of the plant landscape design, the design of urban landscape planning methods is completed. The experimental results show that the total score of the final design method is higher, and the spatial accuracy error is less than 4%, which verifies the feasibility of the landscape planning method. Journal: Int. J. of Environmental Technology and Management Pages: 248-263 Issue: 3/4 Volume: 24 Year: 2021 Keywords: environmental pollution; urban landscape; planning method; geographic information system; GIS. File-URL: http://www.inderscience.com/link.php?id=116830 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:24:y:2021:i:3/4:p:248-263