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Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning

The process of rapid urbanization causes so many water security issues such as urban waterlogging, environmental water pollution, water shortages, etc. It is, therefore, necessary for us to integrate a variety of theories, methods, measures, and means to conduct ecological problem diagnosis, ecologi...

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Detalles Bibliográficos
Autores principales: Cai, Xinhong, Xu, Dawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394889/
https://www.ncbi.nlm.nih.gov/pubmed/34444132
http://dx.doi.org/10.3390/ijerph18168382
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author Cai, Xinhong
Xu, Dawei
author_facet Cai, Xinhong
Xu, Dawei
author_sort Cai, Xinhong
collection PubMed
description The process of rapid urbanization causes so many water security issues such as urban waterlogging, environmental water pollution, water shortages, etc. It is, therefore, necessary for us to integrate a variety of theories, methods, measures, and means to conduct ecological problem diagnosis, ecological function demand assessment, and ecological security pattern planning. Here, EC (Edge Computing) technology is applied to analyze the hydrological spatial structure characteristics and ecological planning method of waterfront green space. First, various information is collected and scientifically analyzed around the core element of ecological planning: water. Then, in-depth research is conducted on the previous hydrological spatial analysis methods to identify their defects. Subsequently, given these defects, the EC technology is introduced to design a bottom-up overall architecture of intelligent ecological planning gateway, which can be divided into field devices, EC intelligent planning gateway, transmission system, and cloud processing platform. Finally, the performance of the overall architecture of the intelligent ecological planning gateway is tested. The study aims to optimize the performance of the hydrological spatial analysis method and ecological planning method in Xianglan town of Jiamusi city. The results show that the system can detect the flood control safety system planning, analysis of water source pollution. Additionally, the system also can use the EC technology, depending on the types, hydrological characteristics, pollutants to predict treatment sludge need to put in the pollutant treatment medicament composition and dosage, protection of water source nearby residents public health security. Compared with previous hydrological spatial analysis and ecological planning methods, the system is more scientific, efficient, and expandable. The results provide a technical basis for the research in related fields.
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spelling pubmed-83948892021-08-28 Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning Cai, Xinhong Xu, Dawei Int J Environ Res Public Health Article The process of rapid urbanization causes so many water security issues such as urban waterlogging, environmental water pollution, water shortages, etc. It is, therefore, necessary for us to integrate a variety of theories, methods, measures, and means to conduct ecological problem diagnosis, ecological function demand assessment, and ecological security pattern planning. Here, EC (Edge Computing) technology is applied to analyze the hydrological spatial structure characteristics and ecological planning method of waterfront green space. First, various information is collected and scientifically analyzed around the core element of ecological planning: water. Then, in-depth research is conducted on the previous hydrological spatial analysis methods to identify their defects. Subsequently, given these defects, the EC technology is introduced to design a bottom-up overall architecture of intelligent ecological planning gateway, which can be divided into field devices, EC intelligent planning gateway, transmission system, and cloud processing platform. Finally, the performance of the overall architecture of the intelligent ecological planning gateway is tested. The study aims to optimize the performance of the hydrological spatial analysis method and ecological planning method in Xianglan town of Jiamusi city. The results show that the system can detect the flood control safety system planning, analysis of water source pollution. Additionally, the system also can use the EC technology, depending on the types, hydrological characteristics, pollutants to predict treatment sludge need to put in the pollutant treatment medicament composition and dosage, protection of water source nearby residents public health security. Compared with previous hydrological spatial analysis and ecological planning methods, the system is more scientific, efficient, and expandable. The results provide a technical basis for the research in related fields. MDPI 2021-08-08 /pmc/articles/PMC8394889/ /pubmed/34444132 http://dx.doi.org/10.3390/ijerph18168382 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cai, Xinhong
Xu, Dawei
Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning
title Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning
title_full Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning
title_fullStr Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning
title_full_unstemmed Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning
title_short Application of Edge Computing Technology in Hydrological Spatial Analysis and Ecological Planning
title_sort application of edge computing technology in hydrological spatial analysis and ecological planning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394889/
https://www.ncbi.nlm.nih.gov/pubmed/34444132
http://dx.doi.org/10.3390/ijerph18168382
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