Application Of Data Analysis In Cost-Efficient Manngement Of Pollution Control

Data usually are used to record the inherent uncertainty and complexity of environement issues. However, when enormous amount of data carry innumerable information about environment to us, data analysis has become an important approach to solve these environmental problems.This dissertation took complex system about pollution control and resource recovery as the research object, data analysis as tool, and a series of pollution control and resource recovery issues as instances. It focused on how to apply data analysis for solving the environmental problems. First, it gave an overview of the theories for complex system, rough set, assessment, and mathematical statistics, respectively. Then, following problems were solved based on those theories:1. Took the activated sludge process as an example of environmental complex system, established multi-objective optimization method for optimizing both treatment cost and multiple effluent quality indexes in a wastewater treatment plant. Artificial neural network was introduced to determine the set of decision factors according to expectation, thus more precise optimization was enabled.2. Took the environmental dredging as an example of rough set, established the intelligent dredging method. This precise dredging method avoided the adverse effect on the benthic environment caused by traditional dredging, and could save the operational cost and subsequent disposal cost of the dredged polluted sediments.3. Took the waste biomass pyrolysis as an example of information extraction, using life cycle assessment to find out the influences of pyrolysis and different use of its products on environment, energy and economy. The best scheme was proposed to take bio-oil as fuel and biochar as soil restoration agent.4. Took the comparison of two wastewater treatment processes (AAO and inverted AAO process) as an example of data characteristic, using statistics method to find out the optimum operation conditions. It was found that inverted AAO process performed better in phosphorus removal and adaptability, but worse in nitrogen removal and stability compared to AAO process.