The accumulation of large quantities of solid waste inside Mosul city becomes a real residential and municipal management problem. There are many reasons including the existence of unplanned dumping sites within the city boundaries, and the absence of scientific researches which applies modern techniques for selecting the optimal solid waste landfill. This study uses geographic information system (GIS) and analytic hierarchical process (AHP) which is used to extract the weights with the help of Super Decision SD software. The studied variables data can be classified according to specified processing method into two types: continuous data, and discrete data. The ranking map has been designed after multiplying each variable with its extracted weight, then the final map has been created based on the values obtained from the ranking map. The results show that the optimal landfill area is located at south west Mosul city. This study aims at building a model by using GIS to determine the optimal and potential solid waste landfill site.
The field study involved 4 sites and 15 samples according to the wind directions: North, East, South and West. The analysis was conducted through the use of Atomic Absorption spectroscopy (AAS). Ten types of heavy metals were identified as indicators for pollution namely Mg, Ca, Mn, Fe, Cu, Zn, Pb, Ni, Cr, and Cd. The results indicated that the concentration of Fe was the most dominant per specific distances and depths and exceeded the minimum standard in North, East and West directions. While Cu was the second most dominant with concentration exceeding minimum standard per specific distance and depth, mainly in the West direction. The results have shown presence of bacterial species including Pseudomonas, Mirococcus, Actinomyces, Neisseria, Bacillus and Klebsiella. These pathogens can infect wounds and cause sepsis and mortality and can even occur with such organisms to cause secondary infection. These groups of organisms are almost impossible to control since they are ubitiquous.
One of the major problems human beings are confronted with in urban setting is the removal of urban waste. This problem has persuaded the urban authorities to use various tools such as Geographic Information System (GIS) to locate landfills. To do that, Sloan Digital Sky Survey (SDSS) has been used in which or multi-criteria decision making (MCDM) methods and GIS are combined. The selection of the burial place and landfill has great importance and different criteria must be considered. SDSS, using MCDM is able to investigate locating landfill using various criteria simultaneously and it determines its importance. This research aims at presenting suitable solution through using computer and GIS related to solid urban waste and their locating in Hamadan based on standard criteria. A comprehensive model based on GIS, to get the suitable burial place and landfill can help to save time and cost. The model of locating burial place of urban solid waste has been presented.
Mass balance of selected heavy metals (Cu, Cr, Pb, Hg, Zn, Cd) released from waste into leachate during 8 years of landfill exploitation has been calculated. The average release of all analyzed heavy metals did not exceed 1.7%. Heavy metals released in the largest quantities were Cr (0.025 –1.685%), Hg (0.033–1.540%) and Cd (0.082–0.701%). Release of Pb, Cu, Zn was 0.008–0.152%; 0.012–0.085% and 0.007–0.152%, respectively. Cr and Hg do not form an insoluble sulfide precipitate and that is why they are released in a larger amount. Cd and Pb concentrations are positively correlated with the amount of the atmospheric precipitation and the amount of leachates, which means that infiltrating rainfall can leach out these metals from waste. Favorable conditions for leaching of these metals are probably a result of their precipitation as carbonates. A strong correlation between Cu, Zn, and Cr indicates they do not precipitate as carbonates and further they can be subject to desorption processes. In the case of Cu, Zn, Cr and Hg, a positive correlation with the amount of deposited waste was also observed.
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