Study on the Short-term Treatment Technology of Landfill Leachate

2018 9th International Conference on Environmental Science and Technology

生态环境科学

Li, Jin^1 ; Liu, Fengnan^2 ; Ding, Feng^3 ; Dong, Xueren^1 ; Xu, Qinqin^4

School of Mechanical Engineering, University of Jinan, Jinan, Shandong

250022, China^1

Safety Productionand Supervision Bureau of Yishui, Linyi, Shandong

276400, China^2

Inspection and Testing Center of Yishui, Linyi, Shandong

276400, China^3

School of Science, Nanjing University of Technology, Nanjing, Jiangsu

210094, China^4

关键词: Biochemical process;    BP neural networks;    Control parameters;    Electrolytic oxidation;    Landfill leachate treatment;    Landfill leachates;    On-line adjustment;    Treatment technologies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/182/1/012002/pdf
DOI  :  10.1088/1755-1315/182/1/012002

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Domestic garbage is mainly treated by sanitary landfill.The main characteristics of landfill leachate produced in the sanitary landfill process are high concentration of COD and BOD, high ammonia nitrogen content, high levels of refractory organics, heavy metal ions, poor biodegradability, unstable water quality, difficult handling and so on. If the treatment is not carried out, the environment will be severely damaged. According to the needs of the project, this paper proposes a set of short-term landfill leachate treatment process, which involves ozone oxidation, internal electrolytic oxidation technology, coagulation precipitation, deep oxidation of the chain reaction, microwave field catalytic oxidation, adsorption and other treatment processes. Eliminating the biochemical process, the entire process flow is relatively short, and the processing efficiency is high. And the use of PLC-based control system to achieve automatic control of landfill leachate treatment. Since the leachate water quality has a wide range of variation, the PID control method based on BP neural network adaptive control strategy is adopted to achieve on-line adjustment of PID control parameters. The final effluent water quality can meet the emission standards.