Mechanical Biological Treatment Process of MSW is a new garbage disposal technology for the main purpose to improve the efficiency of garbage sorting. Malodorous gas, namely provisions to limit emissions of the emitted pollutant discharge standard was collected and analyzed, and 64 major VOCs emissions in the process of MBT were also analyzed by gas chromatography-mass spectrometry (GC-MS). The results showed that, First, odor concentration of the top ten odorous substances of VOCs in MSW were successively toluene, ethyl acetate, methylene chloride, methyl ethyl ketone, xylene, styrene, 1,2- dichloropropane, trichlorethylene, ethylbenzene, trimethylbenzene, Accounted for 93.57% of the volume of total VOCs. Therefore, the above VOCs were key control object during MBT process; Second, at trommel link of Mechanical separation process, ammonia, hydrogen sulfide, carbon disulfide, dimethyl sulfide odor concentration were higher 11.67%, 3.8%, 25.42%, 128.93% compared to artificial selection as background value; Third, during biological treatment processes, NH3, H2S were the main control substances. ketones was detected in the end of the biological treatment, indicating that local anaerobic reactor engendered in the composting process. Therefore, proper ventilating was needed to control VOCs production and release in biological process.

This paper aims to characterize the evolution of organic matter during the composting of municipal solid waste (MSW). During the 46-day composting process, six samples with different composting time were collected from Songjiang Solid Waste Biological Treatment Plant in Shanghai, China. Dissolved organic matter (DOM) was extracted by ultra-pure water, and the UV-Visible (UV-Vis) spectra of DOM were scanned and investigated. The results showed that, during the composting process, non-humus substances in DOM were gradually transformed into humus substances, the aromatization, molecular weight and humification of humus substances increased. Correlation analysis showed that the absorbance value at 280 nm (SUVA280), and the area of 226~400 nm (A226~400) correlated positively with each other. The dissolved organic carbon (DOC) concentration exhibited a negative correlation with the parameters S275~295, SUVA280 and A200~226, and the correlation coefficients between the DOC content and the A220~226 value was the best (r= -0.976, P=0.001). The absorbance ratio bewteen 465 and 665 nm (E465/E665) showed a significant correlation with SUVA280 (r=-0.892, P=0.017), A226~400 (r=-0.909, P=0.012) and DOC (r=0.840, P=0.036). The absorbance ratio of 250 to 365 nm (E250/E365) correlated significantly with DOC (r=-0.880, P=0.021), and showed no correlation with the other parameters. Absorption curve slope in the range of 275~295nm (S275~295) showed a significantly positive correlation with the DOC content (r=0.961, P=0.002). Among all parameters, the A200~226, A226~400 and S275~295 values reflected compost maturity best.

MATLAB software is widely used in scientific computation and simulation area, and has also been increasingly used in the water science and related fields. In this paper, the FUZZY-AHP toolbox was developed based on MATLAB digital and Image processing technology. As an example the rural drinking water safety assessment was tested by the use of FUZZY-AHP toolbox. This study could also provide some new ideas for rapid assessment in drinking water safety & other related issues and a visualization method for evaluation results exhibition.