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Municipal management involves making decisions on various technical issues, and one such crucial aspect is the multicriteria decision-making process. When choosing suitable locations for wastewater treatment plants, it becomes necessary to consider a range of factors such as technical feasibility, economic viability, environmental impact, ecological aspects, and management requirements. However, evaluating these criteria and dealing with uncertainties can be complex. To address this challenge in the Tabuk region, a combination of two powerful analytical methods, the fuzzy analytical hierarchy process (FAHP) and geographical information system (GIS), were employed. The FAHP methodology allows for considering uncertainties and subjective judgements, while GIS provides spatial analysis capabilities. By combining FAHP and GIS, a thorough evaluation of potential wastewater treatment plant locations was conducted by determining the relative weights for each geospatial parameter. These weights were then used to generate a suitability map, visually representing the most favourable areas for site selection. The FAHP analysis resulted in higher importance given to the treatment plant's distance to urban areas, followed by the distance to roads among the seven investigated parameters. The integrated FAHP-GIS model results show that the western parts of the region are most suitable for constructing wastewater treatment plants. These findings are valuable in facilitating multicriteria decision-making for identifying the optimum site in the area. In summary, integrating FAHP and GIS in the assessment process enables decision-makers to consider various technical, economic, environmental, ecological, and management aspects, thereby providing a comprehensive framework for site selection that can be replicated in other regions with different conditions. This approach enhances the decision-making process in municipal management and promotes more informed and effective planning in the Tabuk region. [ABSTRACT FROM AUTHOR]

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In this work, the residues of green coffee waste were probed for elimination of the toxic anionic dyes Congo red and Eriochrome Black-T taken from the water phase after washing with de-ionised water, and followed by drying at up to 150°C in an air oven for 3 h. In their dried form, the residues of green coffee waste, before and after adsorption of anionic dyes, were characterised by Fourier transformed infrared spectroscopy (FT-IR), scanning electron spectroscopy (SEM), and energy dispersive x-ray analysis (EDX). The FT-IR findings showed that the surface of green coffee residues exhibited sufficient oxygen features (O – H, C – O, C = O, C – O – C). The SEM and EDX analyses showed positive adsorption of both the Congo red and Eriochrome Black-T on the green coffee residues. The adsorption output showed that the percentage of removal of CR and EBT had a substantial effect on the pH solution and the maximum removal of both dyes (CR and EBT) obtained at pH-4 and pH-6 respectively. Pseudo-first-order models for CR and pseudo-second-order models for EBT were better suited to the kinetic tests. The EBT adsorption was well defined by the Freundlich isotherm model, while CR adsorption was best suited to the Langmuir isotherm model for green coffee waste residues. CR and EBT have been found to have maximum adsorption capacities of 20.04 and 60.60 mg/g respectively. The EBT and CR adsorption mechanisms mainly involved electrostatic attraction, chemical reactions, pi-pi interactions and hydrophobic force growth. Compared with other crop residues, the adsorbent showed better removal efficiency of dyes, suggesting possible and beneficial use of green coffee waste residues to effectively decontaminate dye-contaminated wastewater. [ABSTRACT FROM AUTHOR]

This paper investigated the possibility of utilizing SCImago Journal Rank (SJR), Eigenfactor Score and Google H5 index indicator as an alternative to the Journal Impact Factor (JIF) for quality assessment in the field of biochemistry and molecular biology. Principal factors such as researchers and librarians concerns of methods of scientific journal ranking, publication of language, analysis time and self-citation impact are looked into across indicated options and alternatives. The SJR, ES, Google H5 and JIF scores and ranking order of biochemistry and molecular biology journals were downloaded from their relevant websites. Pearson's and Spearman's correlation coefficients were gauged to weigh relationship between these journal quality metrics. Nominated coefficients were embraced for evaluating direct and monotonic relationships of chosen variables and ranking measures. A constructive correlation was detected among the scores and ranking order based on SJR, ES, Google H5 and JIF of selected biochemistry and molecular biology journals. Consequently, scholars, academics and researchers in biochemistry and molecular biology can use the SJR, ES and Google H5 indicators as replacements to JIF for appraisal of scientific journals in the field. [ABSTRACT FROM AUTHOR]