Objective
European countries use landfill as a disposal method for 60% of their municipal and hazardous waste. One of the main problems associated with landfills is leakage of potentially toxic liquids into soil and groundwater. Biological and chemical wastewater tr eatment units separately do not achieve high removal efficiency - microbial population is not able to survive in such contaminated environment. There is a need to develop new effective and inexpensive methods, based on both microbial and non-microbial leve rage and find the way for safe and efficient landfills' water treatment in accordance with EC Landfill Directive.The leachate is generated in the result of the aerobic and anaerobic decomposition of the landfill waste. Treatment of leachate is a complex ta sk due to its nature. A typical leachate is highly contaminated with ammonia, organic contaminants, halogenated hydrocarbons and heavy metals, also with high concentrations of inorganic salts. This wastewater profile is changing from landfill to landfill a s well as with time within the same landfill. The key factors that must be considered and influence treatment facilities design include leachate character and loads, costs and effluent discharge regulations. Research is designed to evaluate optimal leachat e treatment technology based on a modular solution and to develop an integral operational system for wastewater analysis and feedback for working regimes optimisation. The novelty of the proposed technology is the flexible modular approach with "smart" fee dback for selection of treatment regimes relevant for processing of the varying in composition wastewater. The envisaged on-site adaptive leachate treatment system consists of the specific technological modules with integrated operational system for regime optimisation according wastewater composition and quantity. The envisaged "on-line" system design is based on decision-table and expert systems techniques for knowledge processing.'
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologyenvironmental engineeringwater treatment processeswastewater treatment processes
- natural scienceschemical scienceselectrochemistryelectrolysis
- natural scienceschemical sciencesorganic chemistryhydrocarbons
- natural sciencescomputer and information sciencesartificial intelligenceexpert systems
Call for proposal
FP6-2002-SME-1
See other projects for this call
Funding Scheme
Data not availableCoordinator
ZUDAIRE (NAVARRA)
Spain