Your browser doesn't support javascript.
loading
Development and application of a multi-centre cloud platform architecture for water environment management.
Chen, Gang; Zhang, Wanshun; Liu, Xin; Peng, Hong; Zhou, Feng; Wang, Hao; Ke, Qian; Xiao, Boyang.
Afiliação
  • Chen G; School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
  • Zhang W; School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China; China Institute of Development Strategy and Planning, Wuhan University, Wuhan, 430079, China; School of Water Resources and Hydropower Engineering, State Key Laboratory of Water Resources and Hydropower Engineerin
  • Liu X; School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
  • Peng H; School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan, 430072, China.
  • Zhou F; School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
  • Wang H; School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China; China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
  • Ke Q; Institute for Housing and Urban Development Studies, Erasmus University Rotterdam, Rotterdam, 3062PA, the Netherlands.
  • Xiao B; Powder Metallurgy Research Institute, Central South University, Changsha, 410083, China.
J Environ Manage ; 344: 118670, 2023 Oct 15.
Article em En | MEDLINE | ID: mdl-37517116
ABSTRACT
To promote the intelligent and accurate management of river basins, especially large basins which involve many catchments, it is highly required to develop a useful platform to effectively coordinate arithmetic resources and data, and simultaneously help to make decisions based on the real-time calculation. In this study, a multi-centre cloud platform architecture called 3L4C was constructed, which includes a Cloud-edge-terminal Layer (3L), data centre, model centre, control centre, and customer-service centre (4C). Data fusion technology and an air-land-water coupled model were constructed. Based on HTML5, JavaScript, and Java, an integrated water environment management platform was created and applied to the Three Gorges Reservoir Basin, China. The platform was tested and successfully used for automatic water quality prediction, water environment pollution analysis and control, early warning of abnormal water quality, and emergency water pollution incident evaluation. This platform quickly and accurately forecasts and perfectly displays past, present and future state of the water environment, and offers beneficial support for management decisions in various water environment departments.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Computação em Nuvem Tipo de estudo: Clinical_trials / Prognostic_studies País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Computação em Nuvem Tipo de estudo: Clinical_trials / Prognostic_studies País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article