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.

This study assesses groundwater quality GWQ at the east side of Mosul city for different purposes during 2014–2017. Eighteen shallow wells distributed in residential areas are selected and assessed by analyzing their physical, chemical and biological properties. This study reviews the textures of sub-layers by using groundwater modelling system (GMS) to show the probability of infiltration of nearby wastewater and gray water. This study analyzes epidemiological data about diarrhea cases that were increased during that period and calculating the relative, attributed and odd risk. There are three types of assessment are conducted including ranking assessment, weighted assessment and geographical information systems (GIS) assessment. A final map is created to show the most suitable area for live stock and irrigation purposes. The results show that the studied groundwater samples are unsuitable for drinking. High damage can happen for crops with sensitivity for salinity. Most wells are acceptable for live stock purpose.

There is a continuous need to assess Groundwater Quality (GWQ) for human beneficial uses especially in areas suffering a shortage of nearby surface water. This study aims to assess GWQ of 56 wells located at Al-Shekhan area for drinking, irrigation, and livestock purposes. Analytical Hierarchical Process (AHP) technique is used to extract weights of parameters that are needed in the calculation of Simple Additive Weighting (SAW) technique. Maps are created using Geographical Information Systems (GIS), and these maps shows the classes of suitable areas for each purpose depending upon the calculated indices which are extracted from SAW technique. The results show that the final map classifi es the suitable parts according to the drinking, irrigation and livestock purposes, and it shows that the north eastern part of the studied area is suitable for irrigation and livestock only. A model of GIS and AHP is built to assess the suitability of GWQ in Al-Shekhan area, and can be a raw model to be applied to assess GWQ in any other area after inserting the values of their parameters.

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The present study assesses RO stations at four sites in Al-Mahalabea area – Nineveh governorate, Iraq during the summer of 2013. The performance of RO stations are ranked by two methods: the Simple Additive Weight (SAW) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Two groups of samples were collected from feed and permeate water for two periods (at zero time of operation and after ten weeks of operation) with eleven parameters for each sample were analysed. The highest overall rejection R efficiency appeared with the first set of parameters more than 90% (SO4, TDS, NO3, TH, and turbidity), while the second set was the least (Cl, Na, and total alkalinity – TA) ranged between 65 and 85%. It is observed that both the SAW and the TOPSIS methods are accurate to predict the performance efficiency.