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Machine Learning Algorithm for Background Analysis of Remote Sensing Image Pollution Monitoring 遥感图像污染监测背景分析的机器学习算法
Water Pollution Prevention and Control Project Pub Date : 2023-04-10 DOI: 10.38007/wppcp.2023.040203
{"title":"Machine Learning Algorithm for Background Analysis of Remote Sensing Image Pollution Monitoring","authors":"","doi":"10.38007/wppcp.2023.040203","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040203","url":null,"abstract":"","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130024845","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}
引用次数: 0
Anomaly Detection of Water Pollution Prevention Ecosystem Based on Artificial Intelligence 基于人工智能的水污染防治生态系统异常检测
Water Pollution Prevention and Control Project Pub Date : 2023-04-10 DOI: 10.38007/wppcp.2023.040201
{"title":"Anomaly Detection of Water Pollution Prevention Ecosystem Based on Artificial Intelligence","authors":"","doi":"10.38007/wppcp.2023.040201","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040201","url":null,"abstract":"","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"59 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114111041","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}
引用次数: 1
The Early Warning Model of Sudden Water Pollution Based on the Latent Factor 基于潜在因子的突发性水污染预警模型
Water Pollution Prevention and Control Project Pub Date : 2023-04-10 DOI: 10.38007/wppcp.2023.040202
{"title":"The Early Warning Model of Sudden Water Pollution Based on the Latent Factor","authors":"","doi":"10.38007/wppcp.2023.040202","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040202","url":null,"abstract":"","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"98 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114271349","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}
引用次数: 0
Water Pollution Prevention Engineering Device Based on Intelligent Recognition 基于智能识别的水污染防治工程装置
Water Pollution Prevention and Control Project Pub Date : 2023-04-10 DOI: 10.38007/wppcp.2023.040205
{"title":"Water Pollution Prevention Engineering Device Based on Intelligent Recognition","authors":"","doi":"10.38007/wppcp.2023.040205","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040205","url":null,"abstract":"","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114908904","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}
引用次数: 0
Early Warning System for Urban Industrial Wastewater based on Remote Sensing Technology and Image Analysis 基于遥感技术和图像分析的城市工业废水预警系统
Water Pollution Prevention and Control Project Pub Date : 2023-04-10 DOI: 10.38007/wppcp.2023.040204
{"title":"Early Warning System for Urban Industrial Wastewater based on Remote Sensing Technology and Image Analysis","authors":"","doi":"10.38007/wppcp.2023.040204","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040204","url":null,"abstract":"","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117121653","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}
引用次数: 0
Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model 基于灰色BP神经网络模型的水污染防治与预测
Water Pollution Prevention and Control Project Pub Date : 2023-02-20 DOI: 10.38007/wppcp.2023.040101
Tatik Maftukhah
{"title":"Water Pollution Prevention and Prediction Based on Grey BP Neural Network Model","authors":"Tatik Maftukhah","doi":"10.38007/wppcp.2023.040101","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040101","url":null,"abstract":": With the acceleration of economic development, the problem of water pollution (WP) has also become a problem for many countries around the world. In the process of development, many countries have experienced serious WP phenomena, which have had a very serious impact on the ecological environment. The main reason why people attach importance to the problem of WP is that water is indispensable for the development of society and the survival of human beings, and if serious WP problems occur, people's water safety will not be guaranteed. Based on the grey BP neural network (BPNN) model, this paper predicts the pollution emissions in 2023 for the industrial and livestock pollution emission coefficient of M city from 2016 to 2020. The results show that the combination of grey system theory and BPNN can effectively predict the WP emissions. Through analyzing the WP prevention and control problems in M city, this paper puts forward prevention and control strategies, hoping that this study can also provide reference and suggestions for WP control in other cities.","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128663165","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}
引用次数: 0
Raman Spectroscopy System for Water Pollution Control based on Artificial Neural Network 基于人工神经网络的水污染控制拉曼光谱系统
Water Pollution Prevention and Control Project Pub Date : 2023-02-20 DOI: 10.38007/wppcp.2023.040103
D. Rustandi
{"title":"Raman Spectroscopy System for Water Pollution Control based on Artificial Neural Network","authors":"D. Rustandi","doi":"10.38007/wppcp.2023.040103","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040103","url":null,"abstract":": Water resources are an important material resource for living and production. China is a country with poor water resources, and at the same time, the existing water resources in China are all polluted to varying degrees, especially the quality of surface water is closely related to the quality of people's production and life. With the boom in artificial neural network (ANN) research, neural networks have now been used in a number of fields such as graphics processing, expert decision making systems, sound processing, etc. due to the advantages of ANNs themselves, which have achieved amazing results. The theory has turned into a new multifaceted avant-garde discipline associated with multiple fields. In recent years, ANN research has been gradually applied to environmental science, some of which have applied ANN research to areas such as water eutrophication prediction and water quality prediction. The application of ANN technology to surface water quality prediction is at an early stage, and its characteristics make it a great advantage in this field. This paper investigates the use of BP ANNs to predict surface water quality, to make rapid and accurate predictions of surface water pollution, and to provide decisions for the protection of water resources and pollution prevention.","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128382315","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}
引用次数: 0
Model Construction of Water Pollution Prevention Project Based on Small Sample Learning and Data Fusion 基于小样本学习和数据融合的水污染防治项目模型构建
Water Pollution Prevention and Control Project Pub Date : 2023-02-20 DOI: 10.38007/wppcp.2023.040105
Gachuno Onesmus
{"title":"Model Construction of Water Pollution Prevention Project Based on Small Sample Learning and Data Fusion","authors":"Gachuno Onesmus","doi":"10.38007/wppcp.2023.040105","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040105","url":null,"abstract":": At present, the problem of water pollution in China is becoming more and more serious. In view of the scarcity of water resources and deterioration of environmental quality, it is necessary to effectively control pollutants in water bodies. This paper mainly studies the causes of pollutants in small sample data through learning and experiment methods, and takes them as the precondition to connect with the actual environment. On this basis, the improvement measures based on indoor water pollution monitoring and prediction are constructed to analyze, sort out and model the above problems. The emission concentration distribution map obtained by MATLAB software combined with laboratory simulation is used to verify that the above theoretical model is feasible and effective to solve the harmful problems caused by water quality deterioration. The test results show that, based on small sample learning and data fusion technology, It has a certain effect on the water pollution prevention project and can monitor the water pollution.","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125354924","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}
引用次数: 0
Optimization Method of River Water Pollution Prevention and Early Warning System Supporting Spectrum Classification and 3D Remote Sensing Technology 支持光谱分类和三维遥感技术的河流水污染防治预警系统优化方法
Water Pollution Prevention and Control Project Pub Date : 2023-02-20 DOI: 10.38007/wppcp.2023.040102
Baiming Liu
{"title":"Optimization Method of River Water Pollution Prevention and Early Warning System Supporting Spectrum Classification and 3D Remote Sensing Technology","authors":"Baiming Liu","doi":"10.38007/wppcp.2023.040102","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040102","url":null,"abstract":": In recent years, people around the world are living in better and better conditions, and people are demanding more and more from their environment, and pollution of the water environment has become the most serious environmental hazard. In many areas, due to the strong development of agriculture and industry, their pollutants are discharged directly into nearby river basins, leading to eutrophication of water bodies. Failure to carry out river water pollution (WP) prevention and control not only poses a major threat to the health of the people in society, but also has a serious impact on the harmonious and stable development of society. Therefore, this paper uses 3D remote sensing technology (RST) to collect images of river basins, generate remote sensing maps of river basins, extract features of remote sensing images using spectrum classification, and establish river water quality monitoring stations to obtain water quality data of each basin section. The application of spectrum classification and 3D RST provides technical support for the construction of river WP prevention and early warning system (EWS), helps to monitor the water quality in river basins and early warning WP accidents, is conducive to promoting the development of WP prevention, and improves the current crisis of river WP prevention in China.","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115383462","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}
引用次数: 1
A Neural Network-based Approach for Assessing the Energy Value of Regional Water Environment Pollution Losses and Its Application 基于神经网络的区域水环境污染损失能量值评估方法及其应用
Water Pollution Prevention and Control Project Pub Date : 2023-02-20 DOI: 10.38007/wppcp.2023.040104
{"title":"A Neural Network-based Approach for Assessing the Energy Value of Regional Water Environment Pollution Losses and Its Application","authors":"","doi":"10.38007/wppcp.2023.040104","DOIUrl":"https://doi.org/10.38007/wppcp.2023.040104","url":null,"abstract":"","PeriodicalId":383666,"journal":{"name":"Water Pollution Prevention and Control Project","volume":"24 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113934723","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}
引用次数: 0
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