GLOBAL WARMING
P VAMSIDHAR REDDY
MALLA REDDY UNIVERSITY
(MASTERS OF BUSINESS ADMINISTRATION – MBA)
Global warming is a long-term trend of rising global temperatures caused mostly by human activities that emit greenhouse gases into the atmosphere. Rising sea levels, more frequent and severe weather events, and changes in ecosystems are all consequences of global warming.
The fundamental driver of global warming is the release of greenhouse gases, which trap heat in the Earth's atmosphere. The combustion of fossil fuels such as coal, oil, and gas produces the most greenhouse gas emissions, followed by deforestation, agriculture, and industrial operations. These emissions have gradually increased over the last century, and if unchecked, they will continue to warm the earth and inflict extensive environmental damage.
One of the most major effects of global warming is the melting of polar ice caps, which leads to rising sea levels. As the earth heats, glaciers and ice sheets in Greenland and Antarctica melt faster, forcing sea levels to rise faster. This rise in sea levels is already causing floods in coastal areas and is expected to create even more catastrophic flooding in the future Global warming is also causing more frequent and severe weather events.
The warmer atmosphere contains more moisture, resulting in more rainfall and flooding. Furthermore, the warming of the oceans is creating more frequent and strong hurricanes and typhoons. These catastrophic weather occurrences are causing significant damage to houses, infrastructure, and agricultural regions..
Another big impact of global warming is the changes it is generating in ecosystems. Rising temperatures are prompting plant and animal species to alter their ranges, resulting in changes in ecosystems and, potentially, extinctions. Furthermore, global warming is causing coral reefs to bleach and die, resulting in a loss of habitat for many fish species
Abstract
Biogas generation rate plays an important role in the technoeconomic feasibility of biogas plants. In the present study, the biogas is generated from different types of food wastes in combination with cow dung. An artificial neural network modelling has been applied to predict the biogas yield as output and input as various proportions of food wastes using two different types of backpropagation algorithms, such as the Levenberg–Marquardt and scaled conjugate gradient. Simulated results are compared with experimental results. Finding and using renewable sources of energy is one of the methods to combat the ever increasing global warming effectively.
