International Journal of Environmental Science and Technology最新文献

{"title":"How the paper industry is devastating Pakistani environment: an application of the MILP and MOGA","authors":"R. Shoukat,&nbsp;Z. Xiaoqiang","doi":"10.1007/s13762-023-05073-7","DOIUrl":"10.1007/s13762-023-05073-7","url":null,"abstract":"<div><p>The case studies are introduced in this study, highlighting freight transportation via road and road rail between satellite cities in Pakistan’s Punjab and Sindh provinces. The case study analysis contributes to developing environmentally friendly and cost-effective transportation solutions and reducing nitrous oxide (N₂O) and carbon dioxide (CO₂) emissions associated with road and intermodal freight transit. We developed a mixed-integer linear programming (MILP) model to formulate the bi-objective problem, including real-life constraints, emissions at starting nodes, ending notes, and between the arc. In the mathematical model, the cost and emissions functions are developed to minimize the primary and secondary objective functions in the road and intermodal transportation. Furthermore, five distinct sets (locations, starting stations, ending stations, transport orders, and transport service) with parameters relating to container movement between the starting and ending nodes are a necessary part of the MILP formulation. The multiobjective optimization problem is solved by metaheuristic techniques such as the multiobjective genetic algorithm as the goal of applying a metaheuristic algorithm is to find the search space to search the near to optimized solutions. The Pareto front solutions are provided for balancing the costs and emissions of transporting supplies from Punjab to Sindh using the MATLAB solver toolbox. We gathered data from one of Pakistan’s most well-known logistics service providers in the paper industry. According to the findings, intermodal transportation is 72% more cost-effective than road transportation. Additionally, by substituting intermodal transportation for road transportation, N₂O, and CO₂ emissions can be reduced by 74% and 57%, respectively.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"21 2","pages":"1889 - 1904"},"PeriodicalIF":3.0,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43772715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The sulfonated natural silica-based catalyst prepared from rice straw for hydrolysis of microcrystalline cellulose","authors":"Z. Esmaeili,&nbsp;M. Bazarganipour,&nbsp;H. Zilouei,&nbsp;K. Zargoosh","doi":"10.1007/s13762-023-05085-3","DOIUrl":"10.1007/s13762-023-05085-3","url":null,"abstract":"<div><p>A sulfonated silica-based catalyst (SSRS-Cat) was prepared from rice straw (RS) and its performance on the hydrolysis of pretreated microcrystalline cellulose (PMCC) was investigated by determining glucose and total reduced sugars (TRS) yields. The physicochemical and morphological properties of SSRS-Cat were investigated with scanning electron microscopy–energy-dispersive X-ray (SEM–EDX), Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and Brunauer–Emmet–Teller (BET) analysis. The total acidic site density in SSRS-Cat was assessed using NH₃ temperature-programmed desorption (NH₃-TPD) analysis, and also, elemental CHNS analysis was used for the determination of the SO₃H amount in the catalyst. A porous structure with a surface area of 467.38 m²/g and total and sulfonic acidic functional groups with densities of 1.31 and 0.13 mmol/g was observed for the SSRS-Cat sample. The influence of different parameters such as temperature (130, 150, and 170 °C), time (1, 2, 3, and 4 h), and catalyst-to-substrate ratio (<i>C</i>/<i>S</i>) (0, 0.25, 0.5, and 1 g/g) was investigated on the hydrolysis performance of SSRS-Cat. The maximum TRS yield of PMCC was achieved about 51.89% in a <i>C</i>/<i>S</i> ratio of 0.5 g/g at 150 °C after 3 h. But the highest glucose yield of 35.24% was obtained after 2 h with a <i>C</i>/<i>S</i> ratio of 0.5 g/g at 150 °C. The synthesized SSRS-Cat was reused three times with a moderate loss of its catalytic performance. So that the glucose efficiency was decreased by about 25% after three times of catalyst recovery.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"20 9","pages":"9757 - 9766"},"PeriodicalIF":3.1,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4683072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-criteria evaluation of the extraction methods of rare earth elements from aqueous streams","authors":"A. Sadeghi,&nbsp;S. T. Kermani Alghorayshi,&nbsp;M. Shamsi,&nbsp;F. Mirjani","doi":"10.1007/s13762-023-05081-7","DOIUrl":"10.1007/s13762-023-05081-7","url":null,"abstract":"<div><p>This study aims to evaluate the extraction methods of rare earth elements (REEs) from aqueous solution streams using the analytic hierarchy process (AHP) method. However, their extraction from aqueous solutions is challenging due to their low concentration and complex chemical properties. The AHP method is a multi-criteria decision-making tool that allows for the prioritization of different criteria based on their relative importance. In this study, eight extraction methods were evaluated based on three criteria: economic justification, technical justification, and environmental justification. The eight methods included adsorption, biosorption, chemical precipitation, electrocoagulation, ion flotation, ion exchange, membrane filtration, and solvent extraction. The results showed that flotation was the most efficient method for REE extraction, with a score of 0.176, followed by adsorption, with a score of 0.149. Biosorption and solvent extraction had lower scores of 0.147 and 0.136, respectively. Besides, another AHP was conducted to prioritize the three surfactant categories used in the ion flotation process based on seven criteria: capacity, cost, efficiency, recovery duration, repeatability, scalability, and selectivity. The three surfactant categories included bio-based, chemo-based, and nano-based surfactants. The results indicate that nano-surfactants were the most suitable surfactants for REE extraction by ion flotation with a score of 0.465, followed by chemo-surfactants with a score of 0.390. Overall, this study provides valuable insights into evaluating different REE extraction methods using the AHP methodology. The findings can help researchers and industry professionals decide on selecting appropriate REE extraction methods based on their specific needs and priorities.</p><h3>Graphical abstract</h3>\u0000 <figure><div><div><div><picture><source><img></source></picture></div></div></div></figure>\u0000 </div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"20 9","pages":"9707 - 9716"},"PeriodicalIF":3.1,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-023-05081-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4495395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of Iran’s biosphere reserves based on representative criteria and proposal of new options","authors":"M. Alborzi Manesh,&nbsp;J. Imani Harsini,&nbsp;A. DanehKar,&nbsp;M. Robati,&nbsp;A. Alambeigi","doi":"10.1007/s13762-023-04981-y","DOIUrl":"10.1007/s13762-023-04981-y","url":null,"abstract":"<div><p>Man and the Biosphere Program (MaB) was established by UNESCO in the early 1970s to resolve the conflict between humans and nature. The biogeography representative was determined by UNESCO/MaB as one of the main criteria for registering an area as a biosphere reserve (BR). Therefore, countries require selecting appropriate areas for BRs to complete the criterion of representativeness of the global biogeography protection network. This study aimed to analyze the study process of biogeography representatives at the global and national levels based on the research objectives. The results revealed the necessity of combining the map of Iran’s biogeography produced at the global level with the map of the macroecosystems of national production to identify the representative ecosystem units (REUs). The production of this map led to the identification of 112 REUs in the country. The compliance maps of BRs and REUs showed that 13 BRs of the country have covered only 23% of Iran’s REUs. The results of the studies of biogeography provenances, biological hot spots and ecoregions led to the definition of 5 quantitative indicators for screening and prioritizing the country’s REU. The description of this issue, which is very brief in the abstract, is given in the text of the article. A total of 18 REUs were specified with priority for selecting new BRs using identified indicators and Entropy Shannon VIKOR models. Based on the results, 27% of the REUs proposed can be covered by modifying existing BRs boundaries. All proposed BRs could select more than one REU. In addition, 15 REUs with about 17% of the country’s area may be covered with the registration of seven new priority BRs.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"20 9","pages":"9465 - 9480"},"PeriodicalIF":3.1,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-023-04981-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4495393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An efficient hybrid weather prediction model based on deep learning","authors":"A. Utku,&nbsp;U. Can","doi":"10.1007/s13762-023-05092-4","DOIUrl":"10.1007/s13762-023-05092-4","url":null,"abstract":"<div><p>Weather events directly affect human activities. In particular, extreme weather events with global warming, forest fires, and high air temperatures that cause drought make human life difficult. Effective and accurate weather prediction models are needed to take precautions against such climatic events. Therefore, it is essential to develop models that make precise weather predictions. Technological developments contributed significantly to developing successful deep learning-based weather prediction models. With a high success rate, this study proposed a hybrid weather prediction model based on Convolutional Neural Networks and Recurrent Neural Networks models. The proposed hybrid model was applied to the Jena dataset, which contains 14-parameter, large-scale meteorological data that were never utilized for weather prediction. The experimental results were compared with popular deep learning, machine learning, and statistical methods such as Auto-Regressive Integrated Moving Average, Convolution Neural Networks, Long-Short Term Memory, Multilayer Perceptron, Random Forest, Recurrent Neural Networks, and Support Vector Machine. As a result of these comparisons, the proposed hybrid model obtained the best prediction result for all metrics. For example, according to the weather prediction results for Jena, Germany, the proposed hybrid model got the results of Mean Squared Error: 0.035, Root-Mean-Squared Error: 0.189, Mean Absolute Error: 0.126, and R-Squared: 0.987.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"20 10","pages":"11107 - 11120"},"PeriodicalIF":3.1,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-023-05092-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24849887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elimination performance of Nile blue from wastewater using by carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide)/kaolin nanocomposite hydrogel","authors":"E. Jafarian,&nbsp;A. Hekmatiyan,&nbsp;A. Cheraghdar,&nbsp;H. Safarzadeh,&nbsp;M. Shamsi","doi":"10.1007/s13762-023-05096-0","DOIUrl":"10.1007/s13762-023-05096-0","url":null,"abstract":"<div><p>In this study, we synthesized carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide) copolymer hydrogels and carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide)/kaolin nanocomposite with a free radical mechanism to adsorb pollutants of Nile blue dye. Nanocomposite hydrogels performed best at pH = 11, a temperature of 25 °C, a contact time of 90 min, a concentration of pollutant 10 ppm, and an adsorbent dose of 1.5 mg. The increased adsorption rate of NB dye pollutants after adding kaolin-type clay nanoparticles from 96.49 to 98.91% showed the successful addition of nanoparticles to hydrogel copolymer structures. The best isotherm performance was the Langmuir isotherm model, and maximum adsorption capacity for carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide) copolymer hydrogels and for carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide) nanocomposite hydrogel was 138.49 and 149.82, respectively. In the analysis of kinetic models, Elovich's kinetic model had the best performance, where the α value for carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide) copolymer hydrogels are 0.783 and for carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide)/kaolin nanocomposite hydrogel obtained a value of 9.58, which indicates a high adsorption value. On the other hand, the enthalpy parameters (Δ<i>H</i>°) for adsorption process using carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide) and carboxymethyl cellulose-graft-poly(methacrylic acid-co-acrylamide)/kaolin nanocomposite hydrogels were − 61.512 kJ/mol and − 77.281 kJ/mol, respectively. The negativity of Δ<i>H</i>° indicates that the process is exothermic at 5–50 °C using both adsorbers. Furthermore, this process could be spontaneous because the Gibbs free energy (Δ<i>G</i>°) for adsorption processes was negative in experiment temperature range.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"20 9","pages":"9933 - 9944"},"PeriodicalIF":3.1,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4496212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Facile synthesis of niobium oxide as an effective catalytic material for degradation of methylene blue dye","authors":"C. Karthikeyan, R. C. Barik, V. Rajesh kannan","doi":"10.1007/s13762-023-05084-4","DOIUrl":"https://doi.org/10.1007/s13762-023-05084-4","url":null,"abstract":"","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43693905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-layered planter box raingarden for zinc and copper removal from stormwater","authors":"M. Ramezanianpour, R. Khadka, M. Sivakumar","doi":"10.1007/s13762-023-05060-y","DOIUrl":"https://doi.org/10.1007/s13762-023-05060-y","url":null,"abstract":"","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"20 1","pages":"12611 - 12624"},"PeriodicalIF":3.1,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48025075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Elemental ratios as tracers of the sources of mineral dust in north-eastern Sahara","authors":"M. Boraiy,&nbsp;M. El-Metwally,&nbsp;A. Borbon,&nbsp;S. Chevaillier,&nbsp;B. Laurent,&nbsp;S. Lafon,&nbsp;F. F. El Sanabary,&nbsp;M. Masmoudi,&nbsp;S. C. Alfaro","doi":"10.1007/s13762-023-05077-3","DOIUrl":"10.1007/s13762-023-05077-3","url":null,"abstract":"<div><p>The objective of this study is to confirm the possibility of tracing sources of airborne mineral dust using elemental ratios. The region of study is the north-eastern part of the Sahara where dust compositional data were lacking; 272 mineral dust samples collected at 3 experimental stations of Egypt were analyzed by X-ray fluorescence. Based on the mineral dust concentration, 65% of the samples correspond to moderate (3–10 μg m⁻³), 22% to medium (10–25 μg m⁻³), and 13% to intense (&gt; 25 μg m⁻³) dust events. The Ca/Al and (Mg + Ca)/Fe ratios were found to be strongly correlated and their ranges of variation to cover are more than one order of magnitude, which confirms their interest for the tracing of the dust sources. Using a combination of MODIS satellite observations, HYSPLIT back-trajectory analysis, and simulations with dust emission models, the large (&gt; 6) and intermediate (2–6) Ca/Al ratios were shown to correspond to dust originating from saline playas (chotts) and calcareous surfaces, respectively. Conversely, the lowest (&lt; 2) ratios correspond to dust emitted by siliceous sand seas (ergs). Therefore, a classification of the dust in 3 categories (erg-like, calcareous, and chott-like) based on Ca/Al is proposed. The events of moderate to medium intensity are dominated by chott-like and calcareous dust, which suggests that these sources are activated during erosion events of limited (local) extension. Conversely, the fact that the dust composition is more likely to be of the erg-like type during intense events underlines the dominant role played by sand dune fields during major erosion events.</p></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"21 2","pages":"1875 - 1888"},"PeriodicalIF":3.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s13762-023-05077-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42532028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computational investigation of an innovative solar photovoltaic thermal collector with spiral shaped absorber using bifluid coolant","authors":"A. Ranjan,&nbsp;B. Podder,&nbsp;B. Das,&nbsp;A. Biswas","doi":"10.1007/s13762-023-05088-0","DOIUrl":"10.1007/s13762-023-05088-0","url":null,"abstract":"<div><p>In this work, an innovative solar photovoltaic thermal (PVT) collector is developed that has a spiral shaped absorber tube fitted underneath the PV panel in such a manner that a bifluid cooling system extracts heat from the PV panel. The methodology adopted in the present study is to conduct a detailed computational investigation in order to understand the impact of important operating and environmental parameters such as mass flow rates and solar radiations on the overall performance of the bifluid PVT collector. One of the fluids, i.e., a nanofluid (Al₂O₃ in water) with nanoparticle volumetric fraction 5% is passed through the spiral tube, whereas a rectangular air duct is attached below the PV panel for extracting heat from it and delivering the same to the flowing air, thereby making a bifluid coolant system for the PVT collector. Detailed CFD simulations are performed in ANSYS Fluent 19.2 platform for analyzing the thermal performance of the collector. The effects of mass flow rate variations of each individual fluid and in combination (i.e., bifluid) on the PVT efficiency, i.e., thermal, electrical and overall efficiency are observed. The results indicate that with increase in mass flow rate of the fluids, these efficiencies increase up to a certain level but after that, there is only incremental increase with further increase of the latter. When the fluids are used individually or in combination, higher thermal and electrical efficiency are obtained with nanofluid mass flow rate less than that of air. Further, the bifluid is able to transfer heat effectively from the PV panel with less temperature variation between inlet and outlet. Out of all the combinations of varying mass flow rates of individual fluids and bifluid, the best bifluid combination is such that lead to an overall efficiency of 79% corresponding to nanofluid mass flow rate 0.0247 kg/s and air mass flow rate 0.034 kg/s. The computational model developed in this present study will help in designing and developing a more energy efficient, environment friendly and sustainable PVT technology for effective utilization of solar energy.</p><h3>Graphical abstract</h3><div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":589,"journal":{"name":"International Journal of Environmental Science and Technology","volume":"21 3","pages":"2827 - 2842"},"PeriodicalIF":3.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44346617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}