Research on the optimal use of industrial wastewater for sustainable regeneration based on big data background

Abstract

Industry, as one of the most important areas of water use in China, will use 102.89 billion cubic metres of water in 2020, accounting for 17.7 per cent of the country's total water use, and industrial wastewater discharges will account for about one fifth of the country's sewage discharges. In recent years, positive progress has been made in the recycling of industrial wastewater in China, with the water reuse rate for industries above designated size increasing from 89 per cent in 2015 to 92.5 per cent in 2020, and the water consumption of 10,000 yuan of industrial added value in 2020 decreasing by 39.6 per cent compared with 2015. The current status of research on life cycle carbon emissions of different wastewater recycling technologies and processes was analysed and summarised, taking wastewater recycling products such as reclaimed water, energy, microbial proteins and guano as research targets. The analysis pointed out that wastewater reclamation and value-added utilisation have considerable carbon reduction benefits, but quantitative assessment should be carried out at the system level in conjunction with the utilisation scenarios. This paper researches and analyses industrial wastewater based on the technical foundation of big data. On the basis of analysing the industrial wastewater treatment in China in recent years and at the same time combining the background of big data and treatment technology, it pushes the development of industrial wastewater treatment into a new field and mileage.