Environmental Pollution Control by Biotechnology based on Data Mining Algorithm

Abstract

With the rapid development of China's social economy, agricultural production efficiency has also been greatly improved. However, with the development of agriculture, the water environment pollution (WEP) continues to increase. As biotechnology comes from the biochemical reaction process of organic organisms in the natural environment, it is a renewable organic technology. Biotechnology occupies a very large advantage in cost and environmental protection. Therefore, this paper takes water pollution control as the research object, and analyzes the role of biotechnology in water pollution control based on Data Mining Algorithm(DMA). This paper briefly introduces the role of biotechnology and data mining in the treatment of WEP; This paper discusses the data analysis of DMA in water pollution control, including chemical analysis and water quality analysis; Finally, improve the data import and analysis of data mining technology, and analyze the implementation in sewage treatment system. The experimental results also verify the feasibility of data mining in biological sewage treatment.

Construction of urban low-carbon development and sustainable evaluation system based on the internet of things

“…With the continuous development of industry and the rapid growth of the population, air pollution has become very serious, especially the emission of motor vehicle exhaust, which has a huge impact on air quality and seriously affects the lives of people in cities. The burden of disease and death caused by environmental pollution challenges public health around the world [ 11 ]. Especially in developing countries, the kidneys are vulnerable to environmental pollutants, because most environmental toxins are concentrated by the kidneys during filtration [ 12 ].…”