Finding locations suitable for disposal of solid waste is one of the fundamental challenges facing municipal cities and environmental stability. The present study aims to identify the most suitable solid waste disposal site using Geographic Information System (GIS), remote sensing, and the multi criteria decision-making (MCDM) technique. In addition, the study compares the proposed method for suitability with the traditional analytic hierarchy process (AHP) approach. A new validation approach was applied to evaluate the accuracy of the AHP and Fuzzy logic methods based on the selected solid waste locations. Remote sensing data (ASTER GDEM) and field/reference maps were used to derive 12 conditioning factors required to produce a suitable location for solid waste disposal. The result shows that the accuracy of AHP, based on the consistency index (CI), is acceptable (greater than 0.1). However, Fuzzy logic was shown to be more accurate than AHP. The total surface areas of suitable locations based on AHP and Fuzzy models are 4.4 km² and 13.35 km², respectively. This study showed that AHP, Fuzzy logic and GIS can be integrated for waste management decision issues related to site selection to reduce negative effects on the environment and inhabitants.

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The reoccurrence of sandstorms in Nasiriyah city (Southern Iraq) throughout the Summer season is a very important phenomenon and distinctive case that comes from the nearby regions. These storms restrict the financial activities of the city with expanded municipal effort as well as other well-being and environmental problems, and then bring a huge risk to the local residents. This paper uses Geographic Information System (GIS) and Remote Sensing Imagery to dimensionally discover the reasons causing sandstorms, understand the changes within certain periods of time, and then measure the sand-plume coverage during storms. This work has also made an attempt to get the correlation between meteorological records and spatial outputs to predict the direction and coverage range of the predicted future sandstorms which could help to take protective and preventive measures for the sake of the human being. The periods between 1972 and 2018 have been adopted to study the phenomena by using the information archive of the Nasiriyah Meteorological Center together with NASA's open-source climate data and Landsat satellite imagery.