Solid waste collection and disposal are among the most vital services provided to about 700 770 residents of the city of Erbil in northern Iraq. As such, proper waste management systems that consider both the quantity and composition of domestic solid waste are strongly required to address the increasing amount of solid waste. Unfortunately, these essential data are not easily available. The present study sought to gather data on the quantity and composition of domestic solid waste collected from different quarters in Erbil, and the feasibility of recycling these wastes. The solid waste generation rate (GR), uncompacted density, and weight percentages of combustible and incombustible materials were determined based on the collected materials (i.e., food, plastic, paper, metal, glass and cloth). The results show that the average GR and uncompacted density were 0.654 kg capita(-1) day(-1) and 175.72 kg m(-3), respectively. The weight percentages of food, plastic, paper, metal, glass, and cloth as components of domestic solid waste were 79.34, 6.28, 5.9, 3.6, 3.42 and 1.45%, respectively.
Areca catechu fronds show higher capability for removal of color and COD and were utilized as an adsorbent for adsorption
process. Areca catechu fronds activated carbon (AC) undergoes activation process after carbonization under purified
carbon dioxide and turned as activated carbon. Three variables were chosen for the preparation optimization which
consists of temperature, activation time and impregnation ratio in order to study the effect toward the removal of color
and COD from cotton textile mill wastewater. For this study, the response surface methodology (RSM) was employed.
Quadratic model were develop based on three variables and responses of color and COD. High values of the coefficient
determination, R2
were obtained from analysis of variance (ANOVA) for both responses. The optimum Areca catechu
fronds activated carbon (AC) preparation condition was established at temperature 797 °C for 1.57 hour of activation
time and 2.75 impregnation ratios, corresponding to the removal of color and COD with 78.83 and 62.41%, respectively.
The effect of unmanageable construction waste is an unstable land settlement and groundwater pollution. In addition to environmental pollution, construction waste could incur construction cost. The most construction waste is the material used at sites and tile is also a part of the waste generated in construction. The objectives of this study are to determine the tile waste generated in construction stages and linear regression analysis for the amount of tile waste generated. The method used in this study was the Linear Regression Model. The regression model established in the sample data reported an R2 value of 0.793; therefore, the model can predict approximately 79.3% of the factor (area) of tile waste generation. The linear regressions can be applied as tools to predict the tile waste generated at construction sites and help the contractor to track the sources of missing waste.