title: A baseline study characterizing the municipal solid waste in the State of Kuwait.
abstract: This paper provides a new reference line for municipal solid waste characterization in Kuwait. The baseline data were collected in accordance with the Standard Test Method for the Determination of the Composition of Unprocessed Municipal Solid Waste (ASTM). The results indicated that the average daily municipal waste generation level is 1.01 kg/person. Detailed waste stream surveys were conducted for more than 600 samples of municipal solid waste (MSW). The waste categories included paper, corrugated fibers, PET bottles, film, organic matter, wood, metal, glass, and others. The results indicated that organic waste dominated the characterization (44.4%), followed by film (11.2%) and then corrugated fibers (8.6%). Analysis of variance (ANOVA) was used to investigate the influence of season and governorate on waste composition. A significant seasonal variation was observed in almost all waste categories. In addition, significant differences in proportions between the current level and 1995 baseline were observed in most waste categories at the 95% confidence level.
authors.affiliation: Civil Engineering Department, College of Engineering and Petroleum, Kuwait University, Khaldia Bldg. # 14KH, 2nd Floor, P.O. Box 5969, Safat 13060, Kuwait, Kuwait. Electronic address: rawa@civil.kuniv.edu.kw.
authors.forename: Rawa
authors.initials: R
authors.lastname: Al-Jarallah
authors.affiliation: Industrial and Management Systems Engineering Department, College of Engineering and Petroleum, Kuwait University, Khaldia Bldg. # 8KH, 3rd Floor, P.O. Box 5969, Safat 13060, Kuwait, Kuwait. Electronic address: e.aleisa@ku.edu.kw.
authors.forename: Esra
authors.initials: E
authors.lastname: Aleisa
mesh_terms: D000704:Analysis of Variance; D003625:Data Collection; D005163:Factor Analysis, Statistical; D007730:Kuwait; D012044:Regression Analysis; D062611:Solid Waste / Q000032:analysis*
chemical_list: D062611:Solid Waste
keywords: Kuwait; Municipal solid waste; Regression; Statistical analysis; Waste characterization; Waste composition