Abstract
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.
Highlights
As the social economy develops and the population increases rapidly, the world faces three major challenges: population, environment, and resources; especially, water resource has become one of the key issues [1]
There is no shortage of water quality in the irrigation area; instead, the total water is in shortage, which requires optimizing the allocation of water resources in the irrigation area
The proposed ecological water demand prediction model based on mobile edge computing and GIS performs better than the prediction model
Summary
As the social economy develops and the population increases rapidly, the world faces three major challenges: population, environment, and resources; especially, water resource has become one of the key issues [1]. Ecological water requirement prediction and optimal allocation of water resources in irrigation area
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