论文标题
使用机器学习对印度各种气候变化参数的分析
Analysis of various climate change parameters in India using machine learning
论文作者
论文摘要
印度的气候变化是我们社区面临的最令人震惊的问题之一。由于过去几年气候的不利和突然变化，人类受到威胁。气候变化的各种影响包括极端热量，变化的降雨模式，干旱，地下水，冰川融化，海平面上升等等。机器学习可用于使用以前的数据来分析和预测变化图，从而设计一个模型，该模型将来可以用来催化有影响力的气候变化工作，并采取措施朝着方向迈出方向，以帮助印度与即将到来的气候变化作斗争。在本文中，我们分析了有关印度的17个气候变化参数。我们已将线性回归，指数回归和多项式回归应用于参数，并评估了结果。使用设计的模型，我们将预测2025,2030，2035年的这些参数。因此，这些预测的价值将有助于我们的社区预防和采取对人类不利和危险影响的行动。我们已经设计并创建了此模型，该模型可为所有17个参数提供准确的结果。因此，预测的价值将有助于印度能够充分利用气候变化。这些数据在印度人民提供的情况下将有助于提高人们的意识，并将帮助我们从气候变化的偶然影响中拯救我们的国家。
Climate change in India is one of the most alarming problems faced by our community. Due to adverse and sudden changes in climate in past few years, mankind is at threat. Various impacts of climate change include extreme heat, changing rainfall patterns, droughts, groundwater, glacier melt, sea-level rise, and many more. Machine Learning can be used to analyze and predict the graph of change using previous data and thus design a model which in the future can furthermore be used to catalyze impactful work of climate change and take steps in the direction to help India fight against the upcoming climate changes. In this paper, we have analyzed 17 climate change parameters about India. We have applied linear regression, exponential regression, and polynomial regression to the parameters and evaluated the results. Using the designed model, we will predict these parameters for the years 2025,2030, 2035. These predicted values will thus help our community to prevent and take actions against the adverse and hazardous effects on mankind. We have designed and created this model which provides accurate results regarding all 17 parameters. The predicted values will therefore help India to be well equipped against climate change. This data when made available to the people of India will help create awareness among them and will help us save our country from the haphazard effects of climate change.
