Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.

The purposes are to use water resources efficiently and ensure the sustainable development of social water resources. The edge computing technology and GIS (Geographic Information Science) image data are combined from the perspective of sustainable development. A prediction model for the water resou...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Yang Li, Jiancang Xie, Rengui Jiang, Dongfei Yan
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/795d37ca2260443b8e6a3136af314cac
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:795d37ca2260443b8e6a3136af314cac
record_format dspace
spelling oai:doaj.org-article:795d37ca2260443b8e6a3136af314cac2021-12-02T20:08:58ZApplication of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.1932-620310.1371/journal.pone.0254547https://doaj.org/article/795d37ca2260443b8e6a3136af314cac2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254547https://doaj.org/toc/1932-6203The purposes are to use water resources efficiently and ensure the sustainable development of social water resources. The edge computing technology and GIS (Geographic Information Science) image data are combined from the perspective of sustainable development. A prediction model for the water resources in the irrigation area is constructed. With the goal of maximizing comprehensive benefits, the optimal allocation of water quality and quantity of water resources is determined. Finally, the actual effect of the model is verified through specific instance data in a province. Results demonstrate that the proposed irrigation area ecological prediction model based on edge computing and GIS images can provide better performance than other state of the art models on water resources prediction. Specifically, the accuracy can remain above 90%. The proposed model for ecological water demand prediction in the irrigation area and optimal allocation of water resources is based on the principle of quality water supply. The optimal allocation of water resources reveals the sustainable development ideas and the requirements of the optimal allocation model, which is very reasonable. The improvement of the system is effective and feasible, and the optimal allocation results are reasonable. This allocation model aims at the water quality and quantity conditions, water conservancy project conditions, and specific water demand requirements in the study area. The calculation results have great practicability and a strong guiding significance for the sustainable utilization and management of the irrigation area.Yang LiJiancang XieRengui JiangDongfei YanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254547 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yang Li
Jiancang Xie
Rengui Jiang
Dongfei Yan
Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.
description The purposes are to use water resources efficiently and ensure the sustainable development of social water resources. The edge computing technology and GIS (Geographic Information Science) image data are combined from the perspective of sustainable development. A prediction model for the water resources in the irrigation area is constructed. With the goal of maximizing comprehensive benefits, the optimal allocation of water quality and quantity of water resources is determined. Finally, the actual effect of the model is verified through specific instance data in a province. Results demonstrate that the proposed irrigation area ecological prediction model based on edge computing and GIS images can provide better performance than other state of the art models on water resources prediction. Specifically, the accuracy can remain above 90%. The proposed model for ecological water demand prediction in the irrigation area and optimal allocation of water resources is based on the principle of quality water supply. The optimal allocation of water resources reveals the sustainable development ideas and the requirements of the optimal allocation model, which is very reasonable. The improvement of the system is effective and feasible, and the optimal allocation results are reasonable. This allocation model aims at the water quality and quantity conditions, water conservancy project conditions, and specific water demand requirements in the study area. The calculation results have great practicability and a strong guiding significance for the sustainable utilization and management of the irrigation area.
format article
author Yang Li
Jiancang Xie
Rengui Jiang
Dongfei Yan
author_facet Yang Li
Jiancang Xie
Rengui Jiang
Dongfei Yan
author_sort Yang Li
title Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.
title_short Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.
title_full Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.
title_fullStr Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.
title_full_unstemmed Application of edge computing and GIS in ecological water requirement prediction and optimal allocation of water resources in irrigation area.
title_sort application of edge computing and gis in ecological water requirement prediction and optimal allocation of water resources in irrigation area.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/795d37ca2260443b8e6a3136af314cac
work_keys_str_mv AT yangli applicationofedgecomputingandgisinecologicalwaterrequirementpredictionandoptimalallocationofwaterresourcesinirrigationarea
AT jiancangxie applicationofedgecomputingandgisinecologicalwaterrequirementpredictionandoptimalallocationofwaterresourcesinirrigationarea
AT renguijiang applicationofedgecomputingandgisinecologicalwaterrequirementpredictionandoptimalallocationofwaterresourcesinirrigationarea
AT dongfeiyan applicationofedgecomputingandgisinecologicalwaterrequirementpredictionandoptimalallocationofwaterresourcesinirrigationarea
_version_ 1718375132449210368