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Plastic pollution load Model based on Stepwise regression Analytic hierarchy process
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Researchers developed a plastic pollution load model using stepwise regression and analytic hierarchy process methods to estimate plastic pollution levels across regions based on factors like population density, vegetation cover, and industrial activity. The model aims to quantify plastic pollution burden and identify where intervention will have the greatest impact.
This paper focuses on plastic pollution, which is the key problem in national environmental problems. With the increasing influence of plastic pollution, in order to measure the impact of plastic pollution, reasonable intervention measures are put forward, and environmental load rate model is established. In this paper, the stepwise regression method is used to estimate the maximum pollution level that can be achieved in the world from the aspects of population density, vegetation cover, industrial level and economic level, so as to provide reference for global pollution control.
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When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.