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It is used for: forecasting of air quality, air pollution dispersion, and acid rain; tracking radioactive emissions and volcanic ash discharges; analysis of accidental air pollutant releases and assisting in emergency response; and long-term environmental impact analysis. It is an integrated model that includes boundary layer dispersion modelling.
Another research focus is the analysis of urban pollution problems, [11] especially with regard to particulate matter and nitrogen dioxide pollution. [12] Numerical simulations and measurements are used to develop and evaluate urban concepts that can be used to reduce the exposure of the population to air pollutants.
Implementation of such processes reduces the severity and/or number of hazards posed to both public health and the environment. Prevention of pollution preserves natural resources and can also have significant financial benefits in large scale processes. [3] If companies produce less waste, they do not have to worry about proper disposal.
When used in the workplace, AI also presents the possibility of new hazards. These may arise from machine learning techniques leading to unpredictable behavior and inscrutability in their decision-making, or from cybersecurity and information privacy issues. Many hazards of AI are psychosocial due
Digital pollution refers to the negative impact of digital technology and electronic waste on the environment and human health. This can include emissions from electronic devices, toxic chemicals in electronic waste, and the proliferation of e-waste in landfills. Technology users contribute to digital pollution on a daily basis, which include:
The nation’s rivers and streams remain stubbornly polluted with nutrients that contaminate drinking water and fuel a gigantic dead zone for aquatic life in the Gulf of Mexico, according to a ...
Nutrient pollution, a form of water pollution, refers to contamination by excessive inputs of nutrients.It is a primary cause of eutrophication of surface waters (lakes, rivers and coastal waters), in which excess nutrients, usually nitrogen or phosphorus, stimulate algal growth. [1]
The efficiency of algorithms affects the amount of computer resources required for any given computing function and there are many efficiency trade-offs in writing programs. Algorithm changes, such as switching from a slow (e.g. linear) search algorithm to a fast (e.g. hashed or indexed) search algorithm can reduce resource usage for a given ...