The Impact of Carbon Emission on Global Warming Based on LSTM Model and PCA
DOI:
https://doi.org/10.54097/x382yn02Keywords:
Carbon emission; global warming; LSTM; PCA.Abstract
Climate related topic has become a big topic in recent years. Frequent occurrence of extreme phenomenon has made people to are about the climate issue throughout the world, especially about the global warming. This study uses LSTM model to predict the temperature anomaly in the next 100 years and makes PCA to analyze the main contributor to global warming. The temperature anomaly this article used as the dependent variable will stay in a relatively stable stage and the highest anomaly is 1.24℃ while the lowest is 0.25℃. Among carbon dioxide emission, forest fires and volcanic eruption, the main factor that contributes to global warming id CO2. At end of the article, some practical suggestions are put forward to reduce carbon emission in normal life. This article aims to present a basic knowledge of global warming and climate change, and provide people with some measures to implement low carbon.
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