Ecological Engineering Environmental Technology最新文献

{"title":"Production of the Microfiltration Membranes of Wide Range Porosity, High Mechanical, Thermal and Chemical Stability by \"Green\" Fabrication Method","authors":"Nino Mkheidze, Raul Gotsiridze, Svetlana Mkheidze, Ketevan Tenieshvili","doi":"10.12912/27197050/171608","DOIUrl":"https://doi.org/10.12912/27197050/171608","url":null,"abstract":"In the modern technological processes, the microfiltration membranes are used for removal of the suspended particles, colloids and microorganisms from the liquid solutions, as well as for use of the biologically active sub - stances. Their demand at the world market rises day by day and if their production from the polymeric materials having wide range porosity, as well as high mechanical, thermal and chemical stability is provided the field of their use will expand even more. Proceeding from all above, fluoroplastic (F-4) was chosen, as the thermo-and chemi - cally stable polymer used in medicine and food industry for production of the wide range porosity microfiltration membranes. The methods used for modification of membranes in the process of the research do not require any toxic solvents or complicated appliances or high power inputs. The thermo-and chemical stability of the produced membranes allows their multiple use in the process of filtration, which also allows implementing the principles of ,,green” technology. Pore sizes distribution of membranes was researched on Porometer by using the method of capillary flow porometry in compliance with the standards of ACTM F-316-03, which rules out using of the toxic (or hazardous substances), ex. mercury.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"7 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135111759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Landslide Hazard Assessment in the Heterogeneous Geomorphological and Environmental Context of the Rif Region, Morocco – A Machine Learning Approach","authors":"Maryem Hamidi, Tarik Bouramtane, Shiny Abraham, Ilias Kacimi, Laurent Barbiero, Nadia Kassou, Vincent Valles, Gad Levy","doi":"10.12912/27197050/172569","DOIUrl":"https://doi.org/10.12912/27197050/172569","url":null,"abstract":"Landslides are considered to be one of the most significant and critical natural hazards in the heterogeneous geomor - phological setting of the Rif region of Morocco. Despite the high susceptibility to landslides, the region lacks detailed studies. Therefore, this research introduces four advanced machine learning methods, namely Support Vector Machine (SVM), Classification and Regression Trees (CART), Multivariate Discriminant Analysis (MDA), and Logistic Regres - sion (LR), to perform landslide susceptibility mapping, as well as study of the connection between landslide occurrence and the complex regional geo-environmental context of Taounate province. Fifteen causative factors were extracted, and 255 landslide events were identified through fieldwork and satellite imagery analysis. All models performed very well (AUC > 0.954), while the CART model performed the best (AUC= 0.971). However, SVM demonstrated superior performance compared to other methods, achieving the highest accuracy (89.92%) and F1-measure (81.66%) scores on the training data, and the highest accuracy (83.01%), precision (81.74%), and specificity (79.46%) scores on the test data. The results do not necessarily indicate that LR and MDA have the lowest predictive ability, as they demonstrated high accuracy in terms of AUC and in some classification tasks. Moreover, they provide the significant advantage of easy interpretation of the geo-environmental processes that control landslides. Rainfall is the primary triggering factor of landslides in the study area. The majority of landslides occurred on slopes, particularly those located along rivers and faults, suggesting that landslides in the region are closely associated with active tectonics and precipitation. All four models predicted similar spatial distribution patterns in landslide susceptibility. The results showed that almost half of the area mainly in the north and northwest, has a very high susceptibility to landslides. The findings provide valuable references for land use management and the implementation of effective measures for landslide prevention.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"9 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135111994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eco-Friendly Utilisation of Agricultural Coproducts – Enhancing Ruminant Feed Digestibility through Synergistic Fungal Co-Inoculation with <i>Fusarium solani</i>, <i>Fusarium oxysporum</i>, and <i>Penicillium chrysogenum</i>","authors":"Mohamed Benaddou, Hassan Hajjaj, Mohamed Diouri","doi":"10.12912/27197050/171590","DOIUrl":"https://doi.org/10.12912/27197050/171590","url":null,"abstract":"This study aims to explore the synergistic effects of co-inoculation with Fusarium solani (F.s), Fusarium oxyspo-rum (F.o), and Penicillium chrysogenum (P.ch) to enhance the digestibility and quality of lignocellulosic biomass for ruminant feeding. Wheat straw (WS), olive pomace (OP), and cedar wood (CW) were assessed as substrates. Results indicated varying impacts on lignin loss (L_loss), cellulose improvement (C_imp), and in vitro true di-gestibility improvement (IVTD_imp). F.o and P.ch co-inoculation exhibited the highest mean L_loss (53.74%), surpassing F.s and P.ch co-inoculation (18.23%) and F.s and F.o co-inoculation (19.23%). F.o_P.ch co-inoculation notably increased cellulose content (C_imp = 29.86 ± 18.19%) and IVTD_imp (40.74% ± 20.51%), while F.o_F.s showed minimal IVTD_imp (0.14 ± 11.42%). Substrates differed in fiber change and dry matter loss, with OP having the highest C_imp (25.6 ± 20.7%). Treatment duration influenced L_loss and IVTD_imp, increasing from 4 to 12 weeks. Co-inoculating F.o and P.ch enhances lignin degradation and biomass digestibility, improving their suitability for ruminant feed. Thoughtful selection of fungal combinations is crucial for optimizing co-inoculation. These findings support the utilisation of lignocellulosic biomass in ruminant feed.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"195 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135062894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Water Source Analysis for Birra Peja – Focus on Physicochemical Attributes","authors":"Arsim Elshani, Indrit Loshi, Kastriot Pehlivani, Afrore Zhara","doi":"10.12912/27197050/172072","DOIUrl":"https://doi.org/10.12912/27197050/172072","url":null,"abstract":"","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"6 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135111761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Remote Sensing at the Service of Wetlands Mapping: A Case of the Lower Loukkos Complex (North-West Morocco)","authors":"Badreddine Fathi, Abdelghani Afailal Tribak, Mariam Wahbi, Mustapha Maätouk, Boutaina Sebbah","doi":"10.12912/27197050/171782","DOIUrl":"https://doi.org/10.12912/27197050/171782","url":null,"abstract":"Despite their highly recognized ecological values and ecosystem services, approved by the scientific community, wetlands are in perpetual degradation and their global spatial extension in significant regression. The conservation and sustainability of such ecosystems begins with their monitoring and delimitation. This study aims to develop an approach using open access remote sensing data to make this delineation. Applied to the coastal wetland complex of the lower Loukkos in the Mediterranean area, the methodology followed a two-step process. Firstly, it predicted the spaces favourable for water accumulation conditions, and secondly, it identified the presence of water and its response on the soil and vegetation. The approach was based on a theoretical modelling adopting the potential, existing, efficient wetland (PEEW) approach. The recordings from Sentinel sensors served as the basis for calculat - ing indices Beven-Kirkby Index (BKI), Buffer zone Index (BZI), Normalized Difference Moisture Index (NDMI), Normalized Difference Vegetation Index (NDVI) and Modified Normalized water difference index (MNDWI) to pre-locate and model potential wetland areas (PW). Photointerpretation was used to map the existing wetland areas (EW). The estimated area of wetlands in the lower Loukkos region is 379 km 2 for potential areas identified from topographic data and the hydrographic network, 120 km 2 for areas dominated by wetlands detected by remote sensing of water bodies , vegetation and soil moisture, and 33 km 2 for natural wetlands identified by photo-inter - pretation. As a result, the area of current wetlands is only about 9.5% of their theoretical past extent. The validity of this method was confirmed through a comparison of the results with field investigations and hydromorphic traits in soil surveys, as well as external soil mapping data, showing an 84% concordance.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"5 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135111766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Benzene Migration Parameters Resulting from Continuous Flow in a Mountain River","authors":"Vladyslav Shuryhin, Vasyl Karabyn, Andriy Kuzyk","doi":"10.12912/27197050/171529","DOIUrl":"https://doi.org/10.12912/27197050/171529","url":null,"abstract":"Using a mathematical model that includes the influence of bottom sediments, a comprehensive study of the mi - gration of benzene (C 6 H 6 ) as a result of its continuous release into a mountain river was conducted. The adopted migration model consists of two equations that accurately describe the movement of pollutants within the river system, considering crucial factors such as flow velocity, diffusion, sorption, and desorption by river sediments. Through meticulous laboratory experiments, the distribution parameters that govern the behavior of benzene (C 6 H 6 ) within the water-sediment system were successfulully determined. Leveraging advanced computer modeling techniques, intricate spatiotemporal profiles illustrating benzene (C 6 H 6 ) concentrations in both water and sediments were generated. Furthermore, consistent patterns in the fluctuations of benzene (C 6 H 6 ) concentrations that exhibit strong correlation with the specific composition of river sediments were identified. Importantly, these foundational relationships can be extrapolated to diverse river systems and various categories of pollutants.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"198 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135062892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Utilizing Pyrolysis of Plastic Debris for Refuse-Derived Fuel Production and Viable Substitute to Wood Debris","authors":"Mega Mutiara Sari, Takanobu Inoue, Regil Kentaurus Harryes, Iva Yenis Septiariva, Kuriko Yokota, Suprihanto Notodarmodjo, Shigeru Kato, Rizal Muhammad Al Ghifari, Sapta Suhardono, I Wayan Koko Suryawan, Wisnu Prayogo, Nur Novilina Arifianingsih","doi":"10.12912/27197050/171443","DOIUrl":"https://doi.org/10.12912/27197050/171443","url":null,"abstract":"This research explores the viability of converting discarded Polyethylene Terephthalate (PET) plastic waste into a valuable resource through the implementation of pyrolysis and refuse-derived fuel (RDF) technologies. The objec-tive is to assess the potential of PET charcoal waste as an efficient source for RDF generation, surpassing the en - ergy recovery and recycling potential of PET waste. The study introduces three RDF variants: RDF PET100, RDF PET50, and RDF PET0. RDF PET100 is comprised entirely of PET charcoal, RDF PET50 combines 50% PET charcoal with 50% wood debris, and RDF PET0 consists entirely of wood debris. Comprehensive assessments of water content, ash content, and calorific value were conducted to evaluate the quality of these RDF formulations. Results indicate that RDF PET100 exhibits a water content of 2.63%, ash content of 0.73%, and calorific value of 5,976 MJ/kg. Similarly, RDF PET50 showcases a water content of 3.6%, ash content of 1.05%, and calorific value of 5,587 MJ/kg. RDF PET0 presents a water content of 7.51%, ash content of 1.36%, and calorific value of 4,198 MJ/kg. The outcomes underline the potential of PET plastic waste repurposing through RDF and pyrolysis techniques. Particularly, RDF PET100 emerges as a high-caliber fuel option characterized by its minimal water and ash content, coupled with a substantial calorific value. This innovation holds promise in mitigating plastic waste challenges, particularly pertinent in the context of Indonesia.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"197 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135062893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Magnetic Composite for Efficient Adsorption of Iron and Magnesium Ions from Aqueous Solution","authors":"Widia Purwaningrum, Hasanudin Hasanudin, Addy Rachmat, Fahma Riyanti, Poedji Loekitowati Hariani","doi":"10.12912/27197050/171678","DOIUrl":"https://doi.org/10.12912/27197050/171678","url":null,"abstract":"","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"193 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135062896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Removal of Dyes by Adsorption Process Using Date Pits as Environmentally Friendly Material","authors":"Abderrazzak Adachi, Faiçal El Ouadrhiri, Ibtissam El Manssouri, Fatima Moussaoui, Soukaina El Bourachdi, Amal Lahkimi","doi":"10.12912/27197050/171494","DOIUrl":"https://doi.org/10.12912/27197050/171494","url":null,"abstract":"This study is based on the use of a natural material in the adsorption process to remove organic pollutants. The objective is to assess its effectiveness in adsorbing the organic pollutant MB from an aqueous solution, while op - erating in an open system. The DP bioadsorbent was characterized using FTIR and SEM. To determine their effect on adsorption efficiency, a number of variables were examined, including contact time, concentration of pollutant MB, adsorbent mass, pH, temperature, and adsorbent particle size. The effect of these variables on adsorption ef - ficiency shows that a removal rate of 92.66% is achieved under optimum conditions, including a contact time of 35 minutes, a concentration of pollutant MB of 22.5 mg·l -1 , an adsorbent mass (m DP ) of 1.1 g·l -1 and a solution pH of 5.6. In addition, a progressive decrease in adsorption efficiency is observed with increasing temperature and adsorbent mass. On the other hand, this efficiency increases with increasing a concentration of pollutant MB. Three popular models, the Freundlich, Langmuir, and Dubin-Radushkevich models, have been used to examine the adsorption isotherms of the MB dye on DP. With a correlation factor of 0.98, it was discovered that MB ad - sorption monitored by the Freundlich isotherm. The Langmuir and Dubinin-Radushkevich models, however, do not adequately describe the data. The kinetic results were studied using the pseudo-first-order and pseudo-second-order equations, and show that MB dye adsorption on DP (adsorbent) follows the pseudo-second-order model. Also estimated were thermodynamic parameters such as (ΔH°), (ΔS°), (ΔG°), enthalpy, entropy, Gibbs free energy respectively to anticipate the character of adsorption. The results indicate that the adsorption process of MB on the bioadsorbent is exothermic. The results derived from the ΔG° values lead to the conclusion that the adsorption of MB occurs spontaneously.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"190 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135062899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS and Index-Based Methods for Assessing the Human Health Risk and Characterizing the Groundwater Quality of a Coastal Aquifer","authors":"Atif Foufou, Nadjib Haied, Mohamed Azlaoui, Samira Khadri, Adel Boussaid, Rabah Kechiched","doi":"10.12912/27197050/171444","DOIUrl":"https://doi.org/10.12912/27197050/171444","url":null,"abstract":"The massive dune aquifer of Bouteldja is one of the most exploited aquifers in Algeria; as a result, its piezometric level has declined. Such pressure on the dune aquifer, in addition to its moderate-to-severe vulnerability to pollution, may lead to deterioration of groundwater quality. This study is intended to assess the quality of aquifer groundwater for drinking, irrigation and industrial purposes, and also to evaluate health risks. To this end, we analyzed data of 16 physicochemical parameters collected from 25 groundwater samples. Using the Durov diagram, principal component analysis (PCA), and Pearson’s correlation matrix, we found that most major ions show similar origins related to ion exchange and the proximity of the sea. Our results showed that, overall, the groundwater intended for drinking purposes was of good or excellent quality over most the aquifer, where the majority of wells are located. However, the groundwater is mostly unsuitable for irrigation purposes according to the Kelly index (KI), percentage of sodium (Na %), magnesium hazard (MH), and irrigation water quality index (IWQI). Further, calculations of corrosivity ratios (CRs) indicated that the groundwater is unsuitable for industrial uses. Finally, a health risk assessment of iron heavy metal related to the hazard index (HI) for both ingestion and dermal exposure in children and adults showed negligible-to-low risk from iron exposure.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135062888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}