Template-Type: ReDIF-Article 1.0 Author-Name: Garima Khera Author-X-Name-First: Garima Author-X-Name-Last: Khera Author-Name: S. Mohamad Irshad Author-X-Name-First: S. Mohamad Author-X-Name-Last: Irshad Title: From environmental management to risk governance: air pollution case of Delhi, India Abstract: Air pollution is one of the critical issues for environmental management as well as public health. Increasing pollution risk decreases the quality of life and reduces life expectancy. This paper focuses on increasing air pollution risks in the capital of India. New Delhi is a major hotspot due to the high probability of risk and impact arising from air pollution. Administrative, legal, and non-state agencies have put all possible institutional interventions to alert the citizens and reduce the risks. However, even after decades of intervention, the battle continues. This paper attempts to understand the air pollution phenomenon from the lens of the concept of risk governance. In Delhi, the political process to govern the risk of air pollution is a primary subject of investigation in this research. The paper analyses interventions taken since the 1970s. It presents a concise picture of how risk governance machinery has managed the evolving risk. Journal: Int. J. of Environmental Technology and Management Pages: 135-152 Issue: 1/2 Volume: 26 Year: 2023 Keywords: risk; air pollution; risk governance; risk communication; public health emergency; environment management; India. File-URL: http://www.inderscience.com/link.php?id=127332 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:135-152 Template-Type: ReDIF-Article 1.0 Author-Name: Zhongfeng Jiang Author-X-Name-First: Zhongfeng Author-X-Name-Last: Jiang Author-Name: Xiaohui Li Author-X-Name-First: Xiaohui Author-X-Name-Last: Li Author-Name: Xuanxuan Zhang Author-X-Name-First: Xuanxuan Author-X-Name-Last: Zhang Author-Name: Weiwei Wang Author-X-Name-First: Weiwei Author-X-Name-Last: Wang Author-Name: Haoliang Hou Author-X-Name-First: Haoliang Author-X-Name-Last: Hou Title: Water resource pollution load intensity measurement based on SWAT model Abstract: In order to solve the problems of high measurement time-consuming, high deviation and small area in traditional methods, a water resource pollution load intensity measurement based on SWAT model is proposed. Firstly, build a basic database, which contains different types of water resources data. Then, the hydrological characteristic data in the basic database are summarised, and the SWAT model is used to design the water pollution output coefficient model to obtain the change results of water pollution parameters; Finally, the comprehensive pollution index method is used to measure the pollution load intensity of water resources, obtain the standard pollution index, and get the final measurement result. The experimental results show that the water pollution load intensity measurement of this method takes less time, the measurement result deviation is low, and the area that can be measured is large, and the measurement effect is better. Journal: Int. J. of Environmental Technology and Management Pages: 54-65 Issue: 1/2 Volume: 26 Year: 2023 Keywords: SWAT model; water resource; pollution load intensity; standard pollution index; comprehensive pollution index method; attribute data. File-URL: http://www.inderscience.com/link.php?id=127338 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:54-65 Template-Type: ReDIF-Article 1.0 Author-Name: Jiong Li Author-X-Name-First: Jiong Author-X-Name-Last: Li Title: Evaluation method of ecological vulnerability of scenic spots based on entropy weight TOPSIS model Abstract: In order to solve the problem of poor accuracy of traditional ecological vulnerability assessment methods, an ecological vulnerability assessment method of scenic spots based on entropy weight TOPSIS model is proposed. Firstly, it analyses the natural environment and conditions of the scenic spot, determines the ecological vulnerability evaluation index of the scenic spot, and constructs the evaluation index system through spatial principal component analysis. Then, the evaluation indexes are standardised and graded according to the ecological vulnerability index of scenic spots. Finally, the weight of ecological vulnerability index is calculated by using entropy weight TOPSIS model, and the ecological vulnerability index is determined. After building the ecological vulnerability assessment model of scenic spots, input the ecological vulnerability indicators into the model and output the assessment results. The results show that the accuracy of this method is as high as 0.98. Journal: Int. J. of Environmental Technology and Management Pages: 14-26 Issue: 1/2 Volume: 26 Year: 2023 Keywords: evaluation factor; entropy weight TOPSIS model; ecological vulnerability; evaluation method. File-URL: http://www.inderscience.com/link.php?id=127339 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:14-26 Template-Type: ReDIF-Article 1.0 Author-Name: Ling Zhang Author-X-Name-First: Ling Author-X-Name-Last: Zhang Title: Evaluation method of ecotourism carrying capacity of popular scenic spots based on set pair analysis Abstract: In order to overcome the low accuracy of the traditional assessment methods, this paper proposed an assessment method based on set pair analysis. After establishing the evaluation system of ecotourism carrying capacity according to the influencing factors of ecotourism carrying capacity, the set pair analysis method was used to construct the evaluation matrix to determine the best and worst scheme of the evaluation index and the correlation degree, and then the corresponding evaluation results were obtained according to the correlation degree. Experimental results show that the calculation accuracy of the index weight of the proposed method is basically consistent with that of the theoretical weight, and there is only 0.01 error between them, and the maximum bearing capacity assessment accuracy is 96.6%, indicating that the proposed method has strong application advantages. Journal: Int. J. of Environmental Technology and Management Pages: 40-53 Issue: 1/2 Volume: 26 Year: 2023 Keywords: set pair analysis; popular scenic spots; ecotourism; bearing capacity evaluation. File-URL: http://www.inderscience.com/link.php?id=127340 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:40-53 Template-Type: ReDIF-Article 1.0 Author-Name: Shujing Wang Author-X-Name-First: Shujing Author-X-Name-Last: Wang Author-Name: Haibin Tang Author-X-Name-First: Haibin Author-X-Name-Last: Tang Title: An extraction method of environmental behaviour characteristics in landscape design Abstract: Aiming at the problems of low extraction accuracy and long extraction time in the traditional landscape environmental behaviour feature extraction method, this paper puts forward the environmental behaviour feature extraction method in landscape design. Firstly, the environmental behaviour factors are analysed according to the sense of comfort, security, communication, recognition and achievement, and the environmental behaviour data are obtained. Then, radiometric calibration, atmospheric correction, geometric correction and greyscale processing are carried out for the obtained behaviour data. Then, the scale difference is used to calculate the grey features and detail features of the preprocessed environmental behaviour image, and the grey features and detail features are weighted and fused to extract the environmental behaviour features of landscape architecture. Finally, the simulation results show that the accuracy of the proposed method for landscape environmental behaviour feature extraction is up to 100%, with high extraction accuracy and short extraction time. Journal: Int. J. of Environmental Technology and Management Pages: 66-80 Issue: 1/2 Volume: 26 Year: 2023 Keywords: landscape architecture; landscape design; environmental behaviour; feature extraction; remote sensing image technology; greyscale processing. File-URL: http://www.inderscience.com/link.php?id=127341 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:66-80 Template-Type: ReDIF-Article 1.0 Author-Name: Aidi Zhang Author-X-Name-First: Aidi Author-X-Name-Last: Zhang Author-Name: Dongbing Huang Author-X-Name-First: Dongbing Author-X-Name-Last: Huang Author-Name: Gangwen Lie Author-X-Name-First: Gangwen Author-X-Name-Last: Lie Title: Study on plant allocation method of landscape architecture based on comprehensive evaluation index method Abstract: Aiming at the problems of poor allocation accuracy and low environmental contribution rate in landscape plant allocation methods, a landscape plant allocation method based on comprehensive evaluation index method is proposed in this paper. First, he spatial state of abstract landscape plant configuration is regarded as the spatial sequence of specific configuration points and lines, and the characteristics of different levels of space are constructed. Then, calculate the index weight with the help of analytic hierarchy process to complete the construction of allocation index system. Finally, with the help of the comprehensive evaluation index method, the single category factor index and similar index are determined, the contribution rate of configured plants to the environmental impact is calculated, the landscape plant configuration model is constructed, and the landscape plant configuration is completed. The results show that the configuration accuracy of the proposed method is high. Journal: Int. J. of Environmental Technology and Management Pages: 81-93 Issue: 1/2 Volume: 26 Year: 2023 Keywords: comprehensive evaluation index method; hierarchical features; Markov chain; contribution rate; flexibility. File-URL: http://www.inderscience.com/link.php?id=127342 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:81-93 Template-Type: ReDIF-Article 1.0 Author-Name: Bo Yang Author-X-Name-First: Bo Author-X-Name-Last: Yang Author-Name: Baihu Sun Author-X-Name-First: Baihu Author-X-Name-Last: Sun Author-Name: Liyuan Zhang Author-X-Name-First: Liyuan Author-X-Name-Last: Zhang Title: Testing method for pharmaceutical water quality of inorganic hybrid nano drugs Abstract: In order to solve the problems of low accuracy and low efficiency of traditional water quality detection methods, this paper proposed a testing method for pharmaceutical water quality of inorganic hybrid nano drugs. Firstly, the SH-3900A water quality detector was used to collect multiple parameters of pharmaceutical water, and then spectral normalisation analysis was used to classify the collected results. Finally, the spectral difference between qualified samples and abnormal samples was determined by probability evaluation method to achieve the detection of pharmaceutical water quality. Experimental results show that the detection accuracy of this method is up to 95%, and the detection time can be controlled within 15 min. At the same time, the maximum value of stability coefficient is close to 0.8, indicating that the application level of this method is high. Journal: Int. J. of Environmental Technology and Management Pages: 94-104 Issue: 1/2 Volume: 26 Year: 2023 Keywords: inorganic hybrid nano drugs; pharmaceutical water; multiparameter acquisition; quality inspection; sample classification. File-URL: http://www.inderscience.com/link.php?id=127343 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:94-104 Template-Type: ReDIF-Article 1.0 Author-Name: Jiajia Guo Author-X-Name-First: Jiajia Author-X-Name-Last: Guo Author-Name: Na Guo Author-X-Name-First: Na Author-X-Name-Last: Guo Title: Study on environmental pollution control method of building construction under uncertain influence Abstract: In order to overcome the problems of poor pollution control effect of the traditional methods, an environmental pollution control method of building construction under uncertain influence is proposed. Firstly, the control standard of indoor environmental pollutants is given, and the influence of different construction stages on ecological environment is analysed. Then, the influencing factors of construction pollution control under uncertain influence conditions are screened. Finally, the analytic hierarchy process is used to calculate the weight of the influencing factors and obtain the scale table of the judgment matrix. The important evaluation results of the influence degree of different factors are obtained, and the water pollution, air pollution and noise pollution are controlled according to the results. The experimental results show that when the number of painting days is five days, the concentration of formaldehyde and ammonia in this method is 0.006 mg/m<SUP align="right"><SMALL>3</SMALL></SUP> and 0.013 mg/m<SUP align="right"><SMALL>3</SMALL></SUP>, and has a good noise reduction effect. Journal: Int. J. of Environmental Technology and Management Pages: 119-134 Issue: 1/2 Volume: 26 Year: 2023 Keywords: uncertain influence conditions; construction; environmental pollution control; influencing factors; analytic hierarchy process; weight calculation; the noise reduction. File-URL: http://www.inderscience.com/link.php?id=127344 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:119-134 Template-Type: ReDIF-Article 1.0 Author-Name: Jin-Yu Fan Author-X-Name-First: Jin-Yu Author-X-Name-Last: Fan Author-Name: Bo-Hong Zheng Author-X-Name-First: Bo-Hong Author-X-Name-Last: Zheng Author-Name: Bo-Yang Zhang Author-X-Name-First: Bo-Yang Author-X-Name-Last: Zhang Author-Name: Bo Chen Author-X-Name-First: Bo Author-X-Name-Last: Chen Title: Simulation of temporal and spatial distribution characteristics of air pollutant concentration in residential areas based on random forest Abstract: In order to overcome the problems of poor pollutant concentration correlation and poor simulation effect in the traditional simulation results of air pollution concentration temporal and spatial distribution characteristics, a new simulation method of air pollution concentration temporal and spatial distribution characteristics in residential areas based on random forest is proposed. First, divide the indicators of air pollutants in residential areas, and setup the data series of the temporal and spatial distribution characteristics of air pollutant concentration. Then, build the feature judgement matrix and complete feature extraction. The simulation model of temporal and spatial distribution characteristics of pollutant concentration is constructed by using random forest, and the model is solved to realise the simulation of temporal and spatial distribution characteristics of pollutant concentration. The experimental results show that the proposed method has good correlation and high simulation accuracy. Journal: Int. J. of Environmental Technology and Management Pages: 105-118 Issue: 1/2 Volume: 26 Year: 2023 Keywords: random forest; residential areas; air pollution concentration; temporal and spatial distribution; feature simulation. File-URL: http://www.inderscience.com/link.php?id=127345 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:105-118 Template-Type: ReDIF-Article 1.0 Author-Name: Yu Cai Author-X-Name-First: Yu Author-X-Name-Last: Cai Author-Name: Yin Yang Author-X-Name-First: Yin Author-X-Name-Last: Yang Title: Landscape architecture noise environment assessment method based on life cycle assessment Abstract: In this paper, a landscape noise environmental assessment method based on life cycle assessment is designed. The audio features of landscape environment are extracted, the landscape noise is identified and processed by HSCW window function, the evaluation indexes of the three main stages of landscape life cycle are selected by LCA method, and the grey interval of the evaluation indexes is clustered to realise the noise environment evaluation. The experimental results show that the maximum accuracy of landscape noise monitoring can reach 96.4%, the minimum time-consuming of noise environment evaluation is 17.6 min, and the maximum evaluation accuracy can reach 96.9%, which is significantly higher than the two methods. It shows that this method has high noise monitoring accuracy, short evaluation time-consuming, high evaluation accuracy and good practical performance. Journal: Int. J. of Environmental Technology and Management Pages: 1-13 Issue: 1/2 Volume: 26 Year: 2023 Keywords: life cycle assessment; LCA; landscape architecture; noise environment; noise assessment. File-URL: http://www.inderscience.com/link.php?id=127346 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:1-13 Template-Type: ReDIF-Article 1.0 Author-Name: Shanna Qi Author-X-Name-First: Shanna Author-X-Name-Last: Qi Author-Name: Meng Duan Author-X-Name-First: Meng Author-X-Name-Last: Duan Title: Study on the impact of rural land development and utilisation on the coordinated development of regional ecological environment Abstract: In order to effectively resolve the conflict between land use and ecological security, this paper studies the impact of rural land development and utilisation on the coordinated development of regional ecological environment. After selecting the index, the data are dimensionless, the index data weight is calculated, and the comprehensive evaluation function of ecological environment is established. According to the comprehensive evaluation function of land use and ecological environment, the rural land use evaluation index and ecological environment comprehensive index are obtained. Combined with the coupling coordination degree, the impact of rural land development and utilisation on the coordinated development of regional ecological environment is clarified. The results show that when the benefit of rural land development and utilisation is 0.5923, it can promote the coordinated development of regional ecological environment. When it exceeds 0.5923, it is not conducive to the coordinated development of ecological environment. Journal: Int. J. of Environmental Technology and Management Pages: 27-39 Issue: 1/2 Volume: 26 Year: 2023 Keywords: rural land; development and utilisation; ecological environment; coordinated development; evaluation index. File-URL: http://www.inderscience.com/link.php?id=127347 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:27-39 Template-Type: ReDIF-Article 1.0 Author-Name: H.N. Mahendra Author-X-Name-First: H.N. Author-X-Name-Last: Mahendra Author-Name: S. Mallikarjunaswamy Author-X-Name-First: S. Author-X-Name-Last: Mallikarjunaswamy Title: An analysis of change detection in land use land cover area of remotely sensed data using supervised classifier Abstract: In the present work, change detection in land use and land cover (LULC) area of Chikkamagaluru district were assessed using remote sensing data and supervised classifier. Chikkamagaluru district is known for the green cover; therefore an analysis of the land use land cover of the district is the main objective of this work. The change detection of an entire Chikkamagaluru district has been carried out for the period between 2017 and 2021 by using Sentinel-2 multispectral remote sensing data. Supervised classification-based support vector machines (SVM) have been applied to assess the LULC of the study area. An experimental result shows the positive changes in vegetation cover, water bodies, and negative changes observed in bare ground and rangeland. Overall classification accuracy of the SVM was estimated to be 86.30% for 2017 and 85.36% for 2021. The performance of SVM is also compared with the other supervised classifiers such as neural networks, maximum likelihood classifier (MLC), minimum-distance-to-means, and Mahalanobis distance. The comparison results show that SVMs provide better classification results as compared to other supervised classifiers. Journal: Int. J. of Environmental Technology and Management Pages: 498-511 Issue: 6 Volume: 26 Year: 2023 Keywords: multispectral data; change detection; remote sensing; geographic information system; GIS; land use land cover; LULC; support vector machines; SVM; maximum likelihood classifier; MLC. File-URL: http://www.inderscience.com/link.php?id=134322 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:498-511 Template-Type: ReDIF-Article 1.0 Author-Name: Yuanying Li Author-X-Name-First: Yuanying Author-X-Name-Last: Li Author-Name: Linlin Zheng Author-X-Name-First: Linlin Author-X-Name-Last: Zheng Title: An optimisation method of urban road green space landscape layout based on leapfrog algorithm Abstract: To improve the effect of green space landscape layout optimisation and shorten the time-consuming of view layout optimisation, this paper proposes an urban road green space landscape layout optimisation method based on leapfrog algorithm. Firstly, GIS is used to collect road landscape layout data. Then, the index weight is calculated by analytic hierarchy process. The frog-leaping algorithm is used to construct the fitness objective function and solve the fitness value. Finally, the fitness values are sorted from good to bad to judge whether the current output optimal value is the global optimal value, and the final landscape layout optimisation scheme is obtained. The experimental results show that the green space landscape layout optimisation time of this method is only 8.3 s, and the rationality of landscape layout is as high as 99.02%, which shows that this method can have a good effect of road green space landscape layout optimisation. Journal: Int. J. of Environmental Technology and Management Pages: 457-469 Issue: 6 Volume: 26 Year: 2023 Keywords: leapfrog algorithm; hierarchical single sorting; judgment matrix; analytic hierarchy process; fitness function. File-URL: http://www.inderscience.com/link.php?id=134323 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:457-469 Template-Type: ReDIF-Article 1.0 Author-Name: Yaqi Shi Author-X-Name-First: Yaqi Author-X-Name-Last: Shi Title: Study on monitoring method of pollution range in scenic spots based on two-dimensional threshold method Abstract: In order to overcome the problem of low accuracy of monitoring threshold extraction and pollution range monitoring in traditional pollution range monitoring methods, a new pollution range monitoring method of scenic spots based on two-dimensional threshold method is proposed in this paper. Firstly, collect satellite remote sensing data of the pollution range of scenic spots. Secondly, based on the collected data, the two-dimensional threshold method is used to extract the pollution range change threshold of scenic spots. Finally, according to the threshold extraction results, the weight coefficient of pollution range change is calculated, and the pollution range monitoring function is constructed. The output result of the function is the final monitoring result. The experimental results show that compared with the traditional pollution range monitoring method, this method can accurately monitor the pollution range of scenic spots, and the monitoring accuracy is always maintained at more than 94%. Journal: Int. J. of Environmental Technology and Management Pages: 433-444 Issue: 6 Volume: 26 Year: 2023 Keywords: two dimensional threshold method; tourist attractions; pollution range monitoring; satellite remote sensing data. File-URL: http://www.inderscience.com/link.php?id=134324 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:433-444 Template-Type: ReDIF-Article 1.0 Author-Name: Renzhong Jin Author-X-Name-First: Renzhong Author-X-Name-Last: Jin Title: An ecological health evaluation of tourist attractions based on gradient boosting decision tree Abstract: In order to overcome many problems existing in traditional evaluation methods, such as the low accuracy of the evaluation of ecological health of tourist attractions, an ecological health evaluation method of tourist attractions based on gradient boosting decision tree was proposed. The data collection framework of tourist attractions based on UAV low-altitude remote sensing is designed, the ecological health evaluation index system of tourist attractions is constructed, and information entropy and analytic hierarchy process were used to determine the combination weight. The gradient boosting decision tree algorithm is used to calculate the ecological health of tourist attractions, and multiple support vector machines are used to construct multi-classifiers to achieve ecological health evaluation. The experimental results show that the average data acquisition time of the method in this paper is 0.76 s, the error rate of the index weight calculation is between -1% and 2%, and the average evaluation accuracy rate is 97.2%. Journal: Int. J. of Environmental Technology and Management Pages: 417-432 Issue: 6 Volume: 26 Year: 2023 Keywords: UAV low-altitude remote sensing; tourist attractions; ecological health evaluation; information entropy; analytic hierarchy process; gradient boosting decision tree algorithm; support vector machine. File-URL: http://www.inderscience.com/link.php?id=134325 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:417-432 Template-Type: ReDIF-Article 1.0 Author-Name: Xiang Huang Author-X-Name-First: Xiang Author-X-Name-Last: Huang Author-Name: Liuzhen Li Author-X-Name-First: Liuzhen Author-X-Name-Last: Li Title: Location method of garden air pollution source based on gradient lifting regression tree algorithm Abstract: In order to improve the location accuracy of garden air pollution sources, this paper proposes a new method of garden air pollution source location based on gradient lifting regression tree algorithm. Firstly, the infrared remote sensing spectrometer is used to collect the air pollution data in the garden. Secondly, the decision tree algorithm is used to construct the regression tree of garden pollution data. The least square regression tree is used as the base learner, and the gradient lifting regression tree is constructed by iterative calculation. Finally, the gradient value of the gradient lifting regression tree is calculated and fitted with the regression tree to obtain the node location of the regression tree, which is the location of the pollution source. The experimental results show that, compared with the traditional location methods, the pollution source location accuracy of this method is higher, which is always maintained at more than 96%. Journal: Int. J. of Environmental Technology and Management Pages: 445-456 Issue: 6 Volume: 26 Year: 2023 Keywords: gradient lifting regression tree algorithm; garden air environment; pollution source location; gradient value. File-URL: http://www.inderscience.com/link.php?id=134326 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:445-456 Template-Type: ReDIF-Article 1.0 Author-Name: Lede Niu Author-X-Name-First: Lede Author-X-Name-Last: Niu Author-Name: Lifang Zhou Author-X-Name-First: Lifang Author-X-Name-Last: Zhou Author-Name: Jingzhi Lin Author-X-Name-First: Jingzhi Author-X-Name-Last: Lin 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 Title: The temporal and spatial evolution law of construction land structure in central Yunnan urban agglomeration based on GIS Abstract: In order to reduce the pressure of urban construction land demand and improve the level of urban land use, this paper studies the temporal and spatial evolution of the construction land structure in the central Yunnan urban agglomeration. Firstly, ArcGIS 10.3 software was used to extract the construction land quantity of the urban agglomeration in central Yunnan, and then the standard deviation ellipse, standard distance and gravity centre migration model were used to analyse its spatial characteristics. Experiments show that the northeast direction is the most prominent direction of construction land expansion in the central Yunnan urban agglomeration, while the southeast direction shows a relatively weakening trend. Journal: Int. J. of Environmental Technology and Management Pages: 401-416 Issue: 6 Volume: 26 Year: 2023 Keywords: geographic information system; construction land structure; central Yunnan urban agglomeration; temporal and spatial evolution law; standard deviation ellipse. File-URL: http://www.inderscience.com/link.php?id=134328 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:401-416 Template-Type: ReDIF-Article 1.0 Author-Name: Jing Yang Author-X-Name-First: Jing Author-X-Name-Last: Yang Title: The simulation of ecological spatial pattern evolution of tourist attractions based on remote sensing data Abstract: In order to improve the simulation accuracy and efficiency of ecological spatial pattern evolution, a simulation method of ecological spatial pattern evolution of scenic spots based on remote sensing data is proposed. Firstly, the remote sensing image technology is used to obtain the ecological spatial data of tourist attractions, and the obtained data is pre-processed; Secondly, according to the ecological space of tourist attractions, the types of ecological patches are divided, and various ecological indexes are analysed. Finally, grid units divide the ecological space of tourist attractions, and the evolution characteristics of ecological spatial pattern are analysed by calculating the change rate of ecological spatial pattern, so as to realise the simulation of spatial pattern evolution. The experimental results show that the maximum simulation accuracy of this method can reach 96%, and the minimum simulation time is only 20.0 s, which shows that this method is effective. Journal: Int. J. of Environmental Technology and Management Pages: 470-483 Issue: 6 Volume: 26 Year: 2023 Keywords: tourist attractions; remote sensing data; pre-treatment; ecological spatial pattern; evolution law; simulation analysis. File-URL: http://www.inderscience.com/link.php?id=134333 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:470-483 Template-Type: ReDIF-Article 1.0 Author-Name: Zhen Li Author-X-Name-First: Zhen Author-X-Name-Last: Li Title: An evaluation method of urban green space landscape spatial structure based on entropy weight method Abstract: Because the traditional evaluation method of urban green space landscape spatial structure has the problems of low evaluation accuracy and long evaluation time, an evaluation method of urban green space landscape spatial structure based on entropy weight method is proposed. Firstly, under the selection principle of evaluation indicators, the evaluation index system of urban green space landscape spatial structure is constructed, and the evaluation indicators are obtained. Then, the trend surface filtering method is used to detect the abnormal data in the evaluation index data, and then according to the detection results, the entropy weight method is used to determine the weight of the evaluation index. Finally, based on the determined weight value, the comprehensive evaluation of urban green space landscape spatial structure is carried out. The simulation results show that the proposed method has higher accuracy and shorter evaluation time for urban green space landscape spatial structure evaluation. Journal: Int. J. of Environmental Technology and Management Pages: 484-497 Issue: 6 Volume: 26 Year: 2023 Keywords: GIS technology; urban green space landscape; space structure; trend surface filtering method; entropy weight method. File-URL: http://www.inderscience.com/link.php?id=134334 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:6:p:484-497 Template-Type: ReDIF-Article 1.0 Author-Name: Lakshmi Machineni Author-X-Name-First: Lakshmi Author-X-Name-Last: Machineni Title: Waste to wealth and health: bio-recovery and applications of chitin and its derivatives Abstract: The search for new molecules that are useful for human health and eco-friendly has led to the study of molecules derived from plants, animals and microorganisms. Chitin is the second most ubiquitous natural polysaccharide after cellulose on the Earth, comprising repeating units of N-acetyl-D-glucosamine. However, because chitin in its natural form has high crystallinity and low solubility, its applications are limited. Modified chitin can be converted into chitooligosaccharides with varied degree of polymerisation by either chemical or enzymatic methods. Even though this review has emphasised on the different chitin extraction methods and their applications, the biological methods discussed in detail could suggest new understanding about non-toxic chitin extraction methods. In addition, an attempt has been made to highlight the recent research on their commercial applications. Journal: Int. J. of Environmental Technology and Management Pages: 341-359 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: chitin; chitosan; bio-deproteinisation; bio-demineralisation; chitooligosaccharides; CHOS; biofilm. File-URL: http://www.inderscience.com/link.php?id=130779 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:341-359 Template-Type: ReDIF-Article 1.0 Author-Name: H.N. Mahendra Author-X-Name-First: H.N. Author-X-Name-Last: Mahendra Author-Name: S. Mallikarjunaswamy Author-X-Name-First: S. Author-X-Name-Last: Mallikarjunaswamy Author-Name: Sudalayandi Rama Subramoniam Author-X-Name-First: Sudalayandi Rama Author-X-Name-Last: Subramoniam Title: An assessment of built-up cover using geospatial techniques – a case study on Mysuru District, Karnataka State, India Abstract: The cities in any developing countries are the main backbone for the economic growth of the country. In recent days, developing countries faces major issues such as increases in urbanisation and population. An assessment of built-up area plays an important role during the regional planning and infrastructure development of the city. Mysuru has a unique place in the world due to its culture, green cover, and pleasant weather. The present study assess the decade changes in a built-up area of Mysuru District, Karnataka State, India using multispectral remotely sensed data of 2009 and 2019. Change detection of an entire Mysuru District has been carried out with respect to the built-up area of cities and taluks. An experimental result shows that 4.66% of built-up cover in 2009 was increased to 6.56% in 2019. These results show that the built-up cover of the Mysuru district increased by 1.9% over the decade. Overall classification was estimated to be 88.7% for 2009 and 85.4% for 2019. Journal: Int. J. of Environmental Technology and Management Pages: 173-188 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: remote sensing; multispectral data; maximum likelihood classifier; MLC; built-up cover; change detection; geographic information system; GIS. File-URL: http://www.inderscience.com/link.php?id=130787 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:173-188 Template-Type: ReDIF-Article 1.0 Author-Name: Nafiaah Naqash Author-X-Name-First: Nafiaah Author-X-Name-Last: Naqash Author-Name: Shaista Manzoor Author-X-Name-First: Shaista Author-X-Name-Last: Manzoor Author-Name: Rahul Singh Author-X-Name-First: Rahul Author-X-Name-Last: Singh Title: Microplastic hazard, management, remediation, and control strategies: a review Abstract: Understanding microplastic distribution within natural systems and its ecological impact is a worldwide concern. Here, we review the distribution and impact of microplastic across aquatic and terrestrial habitats including humans. In comparison with marine, freshwater environments have reported limited studies, whereas studies indicating microplastic contamination of terrestrial systems are very few. Therefore, comprehensive assessment of microplastic pollution is essential for effective management and control. Further, improving techniques and expanding microplastic research are needed to highlight intense research requirements in the future. Improper management of plastic has been observed to increase overall plastic contamination in recent years. Successful implementation of proper management is crucial for preventing the hazardous effects of microplastic pollution. Inexpensive recycling procedures and biodegradation of polymers are being implemented for the efficient recovery of plastic waste. Such remediation needs to be focused in detail to control the adverse consequences related to the improper discarding of plastic waste. Journal: Int. J. of Environmental Technology and Management Pages: 153-172 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: microplastic pollution; environmental impact; health risks; waste management; reduction; terrestrial system; human health; consequences; remediation; control. File-URL: http://www.inderscience.com/link.php?id=130788 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:153-172 Template-Type: ReDIF-Article 1.0 Author-Name: Fang Yan Author-X-Name-First: Fang Author-X-Name-Last: Yan Author-Name: Wentao Lei Author-X-Name-First: Wentao Author-X-Name-Last: Lei Author-Name: Ling Li Author-X-Name-First: Ling Author-X-Name-Last: Li Title: The impact modelling of urban and rural land planning and development on the ecological environment around the city Abstract: In order to effectively explore the impact of urban and rural land planning and development on the environment, there is a need to improve the research accuracy and environmental quality, and summarise the impact of urban and rural land planning and development on the periphery of the city. According to the results of impact analysis, the information of urban and rural land development intensity and the information of ecological environment around the city are counted. The global scheduling method is used to calculate the contribution of promoting factors, so as to construct the impact research model. The urban and rural land development intensity information and ecological environment information are input into the model, and the output of the model is the impact research result. The experimental results show that the accuracy of ecological environmental impact analysis around the city remains above 90% after the application of this method. Journal: Int. J. of Environmental Technology and Management Pages: 189-200 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: urban; rural land; ecological environment; influence model; planning and development degree; ecological environment security. File-URL: http://www.inderscience.com/link.php?id=130789 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:189-200 Template-Type: ReDIF-Article 1.0 Author-Name: Xiang Huang Author-X-Name-First: Xiang Author-X-Name-Last: Huang Author-Name: Liangjie Li Author-X-Name-First: Liangjie Author-X-Name-Last: Li Title: Air quality monitoring of landscape architecture based on multi-sensor fusion Abstract: In order to overcome the problems of low accuracy and poor real-time performance of traditional methods, a new air quality monitoring of landscape architecture based on multi-sensor fusion is proposed. First, a sensor acquisition device based on ZigBee network is built to collect PM2.5 concentration, PM10 concentration, carbon monoxide concentration, ozone concentration, sulphur dioxide concentration, nitrogen dioxide concentration and other indicators. Then, the interference value is eliminated, and Bayes algorithm is used to fuse the multi-sensor data. R-type cluster analysis is used to calculate the correlation between the collection indexes, based on which a comprehensive evaluation model of air quality is constructed. Finally, the processed collection results are substituted into the model to obtain the comprehensive evaluation results of air quality. Combined with the evaluation results, it is necessary to realise the air quality monitoring of landscape architecture. The test results show that this method has high monitoring accuracy and good real-time performance. Journal: Int. J. of Environmental Technology and Management Pages: 201-212 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: multi-sensor information; landscape architecture; air quality monitoring; Bayes algorithm; R-type cluster analysis. File-URL: http://www.inderscience.com/link.php?id=130790 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:201-212 Template-Type: ReDIF-Article 1.0 Author-Name: Qiong-Pei Wang Author-X-Name-First: Qiong-Pei Author-X-Name-Last: Wang Title: Method for monitoring regional environmental temperature change data based on 5G internet of things technology Abstract: In view of the inconsistency between the temperature data monitoring results and the actual results and the low monitoring efficiency, a regional environmental temperature change data monitoring method based on 5G internet of things technology is proposed. 5G internet of things technology was used to build a real-time data acquisition platform to complete data acquisition. With the help of the logic structure of the input gate, by inputting the collected data, setting the data threshold, determining the continuity between the data through the forgetting gate, and using the digital filtering method to suppress the interference factors, preprocessing is completed. The fuzzy control algorithm is used to control the temperature change data, construct the fuzzy subset of the temperature change data, introduce the fuzzy theory to construct the monitoring model, and realise the design of the monitoring method. The results show that the monitoring time of this method is less than 5.5 s. Journal: Int. J. of Environmental Technology and Management Pages: 213-225 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: 5G internet of things technology; temperature change; data monitoring; fuzzy control algorithm; inertial filtering; fitting property. File-URL: http://www.inderscience.com/link.php?id=130791 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:213-225 Template-Type: ReDIF-Article 1.0 Author-Name: Yuanying Li Author-X-Name-First: Yuanying Author-X-Name-Last: Li Title: Comprehensive evaluation of landscape architecture environment quality based on multi-source remote sensing technology Abstract: In order to overcome the problems of low accuracy of information collection and large error of comprehensive evaluation of environmental quality in traditional methods, a comprehensive evaluation of landscape architecture environment quality based on multi-source remote sensing technology was proposed. Multi-source remote sensing images were collected, and the remote sensing images were registered by radiometric correction and geometric correction methods, and environmental information of landscape architecture was collected. According to the collected information, the comprehensive evaluation index system of landscape environment quality was established. The weight distribution of each evaluation index was determined by fuzzy comprehensive evaluation model and single index membership function. The comprehensive evaluation model of landscape environment quality was built according to the evaluation index weight to achieve the comprehensive evaluation of environmental quality. Experimental results show that the accuracy of this method varies from 93% to 97%, and the average evaluation error is 3.51. Journal: Int. J. of Environmental Technology and Management Pages: 275-288 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: multi-source remote sensing technology; landscape architecture; environmental quality; comprehensive evaluation; radiation correction; geometric correction; fuzzy comprehensive evaluation model. File-URL: http://www.inderscience.com/link.php?id=130792 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:275-288 Template-Type: ReDIF-Article 1.0 Author-Name: Xuefei Ma Author-X-Name-First: Xuefei Author-X-Name-Last: Ma Title: An ecological environment impact assessment of municipal solid waste based on grey prediction model Abstract: Aiming at the problem of low accuracy in the impact assessment of urban waste on ecological environment, a method of urban waste ecological environment impact assessment based on grey prediction model is proposed. First, the pollution type of urban waste is determined, and the important pollution data of urban waste is extracted with the help of the calculation of comprehensive water quality identification index. Then, the total ranking of pollution data is determined by the square root method, the judgement matrix is set to calculate the weight of pollution data, and the urban waste ecological environment pollution index system is constructed. Lastly, with the help of grey prediction model, the positive correlation between urban waste and ecological environment is determined, and the urban waste ecological environment impact assessment algorithm is designed to complete the impact assessment. The results show that the evaluation accuracy can be effectively improved by using the evaluation method in this paper. Journal: Int. J. of Environmental Technology and Management Pages: 289-303 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: grey prediction model; city waste; ecological environment; comprehensive water quality identification index; autoregressive integral moving average model. File-URL: http://www.inderscience.com/link.php?id=130793 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:289-303 Template-Type: ReDIF-Article 1.0 Author-Name: Shengli Xu Author-X-Name-First: Shengli Author-X-Name-Last: Xu Title: A prediction method of soil environmental pollutants in landscape architecture planning based on data clustering Abstract: Aiming at the problem of low prediction accuracy in the prediction of soil environmental pollutants in landscape architecture, a prediction method of soil environmental pollutants in landscape architecture planning based on data clustering is designed. Firstly, through the soil pollution evaluation standard in landscape architecture planning, the pollution index system is constructed to obtain the pollution index data. Then, the consistency pre-processing of the obtained pollution index data is carried out, and the data features are extracted with the help of regionalised variables and variogram. Finally, according to the feature extraction results, the pollution weight is determined by Nemero index, and the pollution grade is divided by data clustering method. According to the pollution trend, the prediction model of pollutant soil pollution degree is constructed to complete the prediction. The results show that the proposed method can effectively improve the prediction accuracy of soil pollution. Journal: Int. J. of Environmental Technology and Management Pages: 304-315 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: data clustering; landscape architecture; soil environmental pollutants; similarity matrix. File-URL: http://www.inderscience.com/link.php?id=130794 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:304-315 Template-Type: ReDIF-Article 1.0 Author-Name: Xiaoying Huang Author-X-Name-First: Xiaoying Author-X-Name-Last: Huang Title: Detection algorithm of abnormal characteristics of urban domestic water quality based on K-means clustering Abstract: In order to solve the problem of low detection accuracy in water quality anomaly detection, an urban domestic water quality anomaly detection algorithm based on K-means clustering is proposed. Firstly, by constructing the water quality feature extraction system and calculating the pollutant content by fluorescence method, the water quality feature extraction and pollutant content determination are completed. Then, normalise the data and introduce root mean square error to remove redundancy and complete the preprocessing. Finally, taking the pH value, ammonia nitrogen, oxygen consumption, chromaticity and turbidity of urban domestic water quality as abnormal values, the trust degree and data cluster distance between data are calculated through K-means clustering, and the abnormal characteristic detection model of urban domestic water quality is constructed to complete the detection. The results show that the proposed method has high accuracy in detecting the abnormal characteristics of urban domestic water quality. Journal: Int. J. of Environmental Technology and Management Pages: 226-237 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: K-means clustering; urban domestic water; abnormal characteristics of water quality; DBN model; degree of trust; cluster distance. File-URL: http://www.inderscience.com/link.php?id=130795 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:226-237 Template-Type: ReDIF-Article 1.0 Author-Name: Yan Xiao Author-X-Name-First: Yan Author-X-Name-Last: Xiao Title: Study on landscape pattern gradient of garden urban green space under ecological guidance Abstract: In order to improve the calculation accuracy of landscape pattern gradient, the landscape pattern gradient of garden urban green space is studied under the guidance of ecology. Firstly, it expounds the important role of landscape pattern gradient research under the ecological guidance, as well as the connotation of garden urban green space landscape development under the ecological guidance. Secondly, the gradient characterisation parameters of landscape pattern are calculated, including green space landscape area percentage, number of regional patches, regional maximum patch index, landscape shape index, average patch area, aggregation index, patch density, separation degree, diversity index and evenness index. Finally, the horizontal and vertical coordinates of the grid are set, grid processing is carried out, and the gradient calculation of landscape pattern is completed. The experimental results show that this method can obtain accurate gradient characterisation parameters of landscape pattern, which is conducive to the development of landscape pattern. Journal: Int. J. of Environmental Technology and Management Pages: 238-249 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: ecological orientation; garden urban; green landscape; pattern gradient. File-URL: http://www.inderscience.com/link.php?id=130796 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:238-249 Template-Type: ReDIF-Article 1.0 Author-Name: Yunfeng Zhao Author-X-Name-First: Yunfeng Author-X-Name-Last: Zhao Author-Name: Yuya Wang Author-X-Name-First: Yuya Author-X-Name-Last: Wang Author-Name: Feng Qiu Author-X-Name-First: Feng Author-X-Name-Last: Qiu Title: Prediction method of dust pollutant diffusion range in building demolition based on Euclidean distance transformation Abstract: Aiming at the problem of low prediction accuracy in the prediction of pollutant diffusion range, a prediction method of dust pollutant diffusion range in building demolition based on Euclidean distance transformation is proposed. The Euclidean distance field outside the collection object is established by Euclidean distance transformation, and the parameters of dust pollutants in building demolition are extracted. According to the atmospheric stability and the position of the boundary layer, the Gaussian model is used to simulate the diffusion trend of fugitive dust pollutants. The prediction model is then established with the help of cellular automata model. The parameters are input into the prediction model, and the output result is the prediction result to realise the prediction. The results show that the prediction accuracy of the proposed method is high. Journal: Int. J. of Environmental Technology and Management Pages: 250-262 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: Euclidean distance transformation; building demolition; dust pollution; diffusion range prediction; cellular automata model. File-URL: http://www.inderscience.com/link.php?id=130797 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:250-262 Template-Type: ReDIF-Article 1.0 Author-Name: Zhixue Wu Author-X-Name-First: Zhixue Author-X-Name-Last: Wu Author-Name: Zhiying Wu Author-X-Name-First: Zhiying Author-X-Name-Last: Wu Title: Urban garden spatial environment layout method based on random forest Abstract: In order to solve the problems of low layout accuracy and long cost in urban garden spatial environment layout, an urban garden spatial environment layout method based on random forest is designed. Firstly, the multi vision camera is used to collect the spatial environment image of urban garden, the spatial environment coordinates are transformed by rigid body, and the non-classical receptive field suppression method is used to remove the interference in the features. Then, with the help of analytic hierarchy process, the hierarchical model of configuration index rating is constructed, the layout index system is determined according to the model, and the constraints of judgment matrix are set. Finally, the layout model is constructed with the help of random forest algorithm, and the final input layout model data is determined to complete the layout. The experimental results show that the layout accuracy of the proposed method is high. Journal: Int. J. of Environmental Technology and Management Pages: 263-274 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: random forest: urban garden space; layout method; rigid body transformation; analytic hierarchy process. File-URL: http://www.inderscience.com/link.php?id=130798 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:263-274 Template-Type: ReDIF-Article 1.0 Author-Name: Jing Jin Author-X-Name-First: Jing Author-X-Name-Last: Jin Title: An evaluation of rural ecological environment carrying capacity under rural land commercial development Abstract: In order to improve the accuracy and efficiency of rural eco-environmental carrying capacity assessment, this paper proposes a new rural eco-environmental carrying capacity assessment method under rural land commercialisation development based on combined weighting method. Firstly, the weighted average method is used to calculate the rural surface runoff coefficient covering the whole area and determine the soil erodibility factor. Secondly, by realising the weighting of the rural ecological environment carrying capacity using principal component analysis (PCA), and calculating the subjective weight of each evaluation index by an analytic hierarchy process, a multi-level evaluation index system is established. The PCA weighting and subjective weighting is then combined to form combined weighting. Finally, the objective function of maximising the carrying capacity of rural ecological environment resources is constructed to realise the evaluation of carrying capacity. The experimental results show that the evaluation accuracy of this method is as high as 99.68%; and the evaluation time is short. Journal: Int. J. of Environmental Technology and Management Pages: 316-328 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: analytic hierarchy process; empowerment PCA; subjective weight value; weighted superposition; distance weight method; combined weighting method. File-URL: http://www.inderscience.com/link.php?id=130799 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:316-328 Template-Type: ReDIF-Article 1.0 Author-Name: Wenwen Wu Author-X-Name-First: Wenwen Author-X-Name-Last: Wu Author-Name: Shu Hu Author-X-Name-First: Shu Author-X-Name-Last: Hu Title: Quantitative evaluation of water pollution degree based on comprehensive biomarker response index method Abstract: In order to improve the accuracy of water pollution degree evaluation results, a quantitative evaluation method of water pollution degree based on comprehensive biomarker response index method is proposed. Firstly, the research water area is selected, and the sampling and monitoring location is arranged in combination with the actual situation. Secondly, biomarker analysis and water sample pollutant analysis were carried out. The collected data include the content data of SOD, CAT, TBARS, GSH, GSSG, GST, GPx, AChE and MTs in gills and viscera of crucian carp, as well as the content data of Pb, As, Cd, Cu and Hg heavy metals in water samples. Finally, the comprehensive marker response index is calculated for the quantitative evaluation of water pollution degree. The experimental results show that compared with the traditional evaluation methods, this method can get more accurate evaluation results, and the evaluation accuracy is always maintained at more than 90%. Journal: Int. J. of Environmental Technology and Management Pages: 329-340 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: comprehensive biomarker response index method; pollution of waters; pollution degree; quantitative evaluation. File-URL: http://www.inderscience.com/link.php?id=130800 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:329-340 Template-Type: ReDIF-Article 1.0 Author-Name: Slimane Bessioud Author-X-Name-First: Slimane Author-X-Name-Last: Bessioud Author-Name: Abed Mohamed Affoune Author-X-Name-First: Abed Mohamed Author-X-Name-Last: Affoune Author-Name: Mohamed Lyamine Chelaghmia Author-X-Name-First: Mohamed Lyamine Author-X-Name-Last: Chelaghmia Title: Investigation and optimisation of turbidity and organic matter removal from surface water by electrocoagulation using response surface methodology Abstract: In this research, the response surface methodology (RSM) based on the central composite design (CCD) was applied to assess and optimise the electrocoagulation (EC) process used to remove turbidity and organic matter from surface water. The effects of operating factors on turbidity and organic matter removal were investigated: reaction time, electric current, effective electrode surface area and inter-electrode distance. The potassium permanganate method was used to estimate the organic matter by chemical oxygen demand (COD<SUB align="right"><SMALL>Mn</SMALL></SUB>). Analysis of variance showed that the quadratic models developed to assess the responses were found to have high coefficients of determination values of 0.9747 and 0.9851 for turbidity and COD<SUB align="right"><SMALL>Mn</SMALL></SUB> removal efficiencies, respectively. The experimental results revealed that 99.08% of turbidity and 85.96% of COD<SUB align="right"><SMALL>Mn</SMALL></SUB> were removed at optimal conditions. The results show that the selected operating factors are significant, and RSM effectively optimises turbidity and organic matter removal from surface water by EC process. Journal: Int. J. of Environmental Technology and Management Pages: 360-381 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: electrocoagulation; surface water; turbidity; organic matter; reaction time; electric current; electrode surface area; inter-electrode distance; response surface methodology; RSM; central composite design; CCD; environmental technology. File-URL: http://www.inderscience.com/link.php?id=130801 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:360-381 Template-Type: ReDIF-Article 1.0 Author-Name: Anlin Li Author-X-Name-First: Anlin Author-X-Name-Last: Li Author-Name: Jingzhi Lin Author-X-Name-First: Jingzhi Author-X-Name-Last: Lin Author-Name: Lifang Zhou Author-X-Name-First: Lifang Author-X-Name-Last: Zhou Author-Name: Lede Niu Author-X-Name-First: Lede Author-X-Name-Last: Niu Title: A study on the spatial and temporal evolution and dynamic simulation of urban resilience in Yunnan Province Abstract: To explore urban resilience in Yunnan Province, this paper uses entropy weight-TOPSIS, geographic detector and BP neural network model to demonstrate urban resilience, influencing factors and future level. The results are as follows: 1) the overall resilience level of cities in Yunnan Province is low, while the areas with higher resilience are mainly distributed in the urban agglomerations of central Yunnan; meanwhile, the resilience levels among regions are quite different, but the gap tends to decrease; 2) the importance of factors affecting the urban resilience are as follows: the society > the economy > the engineering > the ecology; 3) in 2025, 2030 and 2035, the city's resilience developed slowly, with both the increase and decrease in the urban resilience. The urban resilience level was mainly divided into the low and relatively low grades, while high-level resilience cities accounted for a small part. Journal: Int. J. of Environmental Technology and Management Pages: 382-399 Issue: 3/4/5 Volume: 26 Year: 2023 Keywords: Yunnan Province; urban resilience; influential factors; temporal and spatial differentiation; dynamic simulation. File-URL: http://www.inderscience.com/link.php?id=130802 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijetma:v:26:y:2023:i:3/4/5:p:382-399