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Landfill Site Selection using GIS and AHP: a Case Study: Behbahan, Iran
Zeinab Ghaed Rahmat,Mehdi Vosoughi Niri,Nadali Alavi,Gholamreza Goudarzi,Ali Akbar Babaei,Zeinab Baboli,Mohsen Hosseinzadeh 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.1
Finding a suitable site to dispose solid waste is a difficult task for municipality because it is necessary to consider the different factors and criteria in the landfill siting process. In this study, in order to consider all parameters, a combination of Geographic Information System (GIS) and the Analytic Hierarchy Process (AHP) was used for landfill site selection. For the purpose of making decisions in landfill site selection a hierarchy structural was formed and different parameters have been identified, including distance to groundwater, distance to surface water, sensitive ecosystems, land cover, distance to urban and rural areas, land uses, distance to roads, slope, soil type and distance to waste generation places. At first, the rating method was used to evaluate each criterion individually. Then, the relative importance of criteria to each other was determined by an analytic hierarchy process (AHP). Simple Additive Weighting (SAW) method was applied to evaluate the land suitability. The results showed that 38% of the study area have high suitability for land filling. Finally, five sites were a candidate for field investigation with more details.
Afshin Takdastan,Samira Samarbaf,Yaser Tahmasebi Birgani,Nadali Alavi,Ali Akbar Babaei 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.78 No.-
Heavy metals are kind of toxic substances which are abundant in all municipal, agricultural, industrialand treated wastewaters. In this research, a comparative study was carried out for adsorptive removal ofCd2+ from aqueous solution using raw oak waste and NaOH-activated oak waste at different experimentalconditions namely, pH of solution (2–8), contact time (5–240 min), adsorbent dosages (0.1–10 g/L) andinitial Cd2+ concentrations (25–100 mg/L). In addition, the experimental data of Cd2+ adsorption werefitted with different isotherm and kinetic models to determine the most appropriate model. Artificialneural network (ANN) model was also used tofind the effect of each individual parameter on Cd2+adsorptive removal. Based on the results of batch experiments, adsorbent dosages and initial Cd2+concentrations had direct and indirect relationships with Cd2+ removal, respectively. Furthermore,among all applied isotherm and kinetic models, Langmuir isotherm model and Avrami fractional-orderkinetic models could best-fitted with the experimental data of Cd2+ removal. The results ofthermodynamic studies revealed that the adsorption of Cd2+ onto the surfaces of oak waste adsorbentsis exothermic and spontaneous. Finally, according to thefindings of ANN studies, this approach couldmodel the role of each parameter on Cd2+ removal with high coefficient of correlation (>0.99). Accordingly, pH of solution and temperature had the highest and lowest influence on removal of Cd2+from solution, respectively. The results implied that oak waste can be selected as a promising andenvironmentally friendly adsorbent for the effective remediation of water bodies containing heavymetals.