Pub Date : 2021-08-12DOI: 10.1504/ijetm.2021.10040308
Di Yao
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.
{"title":"Application of GIS remote sensing information integration in eco-environmental quality monitoring","authors":"Di Yao","doi":"10.1504/ijetm.2021.10040308","DOIUrl":"https://doi.org/10.1504/ijetm.2021.10040308","url":null,"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.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46674624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.116828
Zhongfeng Jiang, Gao Hongbin, Li Wu, Yanan Li, Bifeng Cui
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 shallo...
为了解决浅层地下水污染在预测过程中受水质影响，导致浅层地下水预测指标和水质指标偏低的问题。。。
{"title":"A prediction model of shallow groundwater pollution based on deep convolution neural network","authors":"Zhongfeng Jiang, Gao Hongbin, Li Wu, Yanan Li, Bifeng Cui","doi":"10.1504/ijetm.2021.116828","DOIUrl":"https://doi.org/10.1504/ijetm.2021.116828","url":null,"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 shallo...","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41891009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.116826
Aina Qi, Qi Wu, Guanglei Zhao
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.
{"title":"Research on the vulnerability of ecological water resources under continuous precipitation based on spatial heterogeneity","authors":"Aina Qi, Qi Wu, Guanglei Zhao","doi":"10.1504/ijetm.2021.116826","DOIUrl":"https://doi.org/10.1504/ijetm.2021.116826","url":null,"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.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47087251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.10037562
Lede Niu, Anlin Li, Yan Zhou, Liran Xiong
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.
{"title":"Analysis on evolution characteristics of spatial expansion pattern of urban agglomeration construction land based on environmental characteristics","authors":"Lede Niu, Anlin Li, Yan Zhou, Liran Xiong","doi":"10.1504/ijetm.2021.10037562","DOIUrl":"https://doi.org/10.1504/ijetm.2021.10037562","url":null,"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.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49262744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.10039854
Fang Lian Li, Yue Xu
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%.
{"title":"Study on plant landscape planning method based on discrete particle swarm optimisation","authors":"Fang Lian Li, Yue Xu","doi":"10.1504/ijetm.2021.10039854","DOIUrl":"https://doi.org/10.1504/ijetm.2021.10039854","url":null,"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%.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46044679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.116806
Hongbing Yu
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%.
{"title":"The purification mechanism of industrial wastewater by aquatic garden plants","authors":"Hongbing Yu","doi":"10.1504/ijetm.2021.116806","DOIUrl":"https://doi.org/10.1504/ijetm.2021.116806","url":null,"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%.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45335517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.10039852
Hongxia Liu, Aidan Moore
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.
{"title":"The detection method for uneven settlement of foundation in the area of industrial waste miscellaneous filling","authors":"Hongxia Liu, Aidan Moore","doi":"10.1504/ijetm.2021.10039852","DOIUrl":"https://doi.org/10.1504/ijetm.2021.10039852","url":null,"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.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48300939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.116830
Min Yu
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.
{"title":"Research on urban landscape planning method based on GIS","authors":"Min Yu","doi":"10.1504/ijetm.2021.116830","DOIUrl":"https://doi.org/10.1504/ijetm.2021.116830","url":null,"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.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48317099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.116829
Sumin Li, Liang Wu, Weifeng Qin, Bing Han, Feng Liu
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.
{"title":"A prediction method of urban water pollution based on improved BP neural network","authors":"Sumin Li, Liang Wu, Weifeng Qin, Bing Han, Feng Liu","doi":"10.1504/ijetm.2021.116829","DOIUrl":"https://doi.org/10.1504/ijetm.2021.116829","url":null,"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.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43212957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-23DOI: 10.1504/ijetm.2021.116808
Yuan Ding
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%.
{"title":"Ecological garden plant configuration method based on attribute analytic hierarchy process model","authors":"Yuan Ding","doi":"10.1504/ijetm.2021.116808","DOIUrl":"https://doi.org/10.1504/ijetm.2021.116808","url":null,"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%.","PeriodicalId":13984,"journal":{"name":"International Journal of Environmental Technology and Management","volume":" ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49493024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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