Bouzghiba Houria, Mendyl Abderrahmane, Khomsi Kenza, Géczi Gábor
{"title":"Short-term predictions of PM10 and NO2 concentrations in urban environments based on ARIMA search grid modeling","authors":"Bouzghiba Houria, Mendyl Abderrahmane, Khomsi Kenza, Géczi Gábor","doi":"10.1002/clen.202300395","DOIUrl":"10.1002/clen.202300395","url":null,"abstract":"<p>Air pollution poses a persistent challenge for urban management departments and policymakers due to its significant health and economic impacts. Various cities worldwide have implemented diverse strategies and initiatives to enhance air quality monitoring and modeling standards. However, the outcomes of these efforts often manifest over the long term, leading to a preference for short-term statistical methods. The autoregressive integrated moving average (ARIMA) search grid modeling approach has gained widespread use for forecasting air quality. This paper presents a comprehensive time series analysis conducted to predict air quality in urban areas of Budapest, Hungary, with a focus on nitrogen dioxide (NO<sub>2</sub>) and particulate matter (PM<sub>10</sub>), using air quality data spanning from 2018 to 2022 for four monitoring categories: Urban traffic, industrial background, urban background, and suburban background. The study employs the ARIMA search grid method to forecast concentrations of these pollutants at multiple air quality monitoring stations based on Akaike information criteria (AIC) and the Bayesian information criteria (BIC) criteria along with the results of augmented Dickey–Fuller (ADF) test. The results demonstrate varying levels of forecast accuracy across different stations, indicating the model's effectiveness in short-term predicting of air quality. These findings are essential for assessing the reliability of air quality forecasts in Budapest and can inform decisions regarding air quality management and the development of strategies to address air pollution and particulate matter concerns in the region.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 6","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202300395","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140678792","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":"Masthead: Clean Soil Air Water. 4/2024","authors":"","doi":"10.1002/clen.202470042","DOIUrl":"https://doi.org/10.1002/clen.202470042","url":null,"abstract":"","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 4","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202470042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140606413","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}
Proloy Deb, Pragnaditya Malakar, Pradip Kumar Bora, Swatantra Kumar Dubey
{"title":"Univariate versus multivariate flood frequency analysis in tropical region: Employing two classes of hydrological models","authors":"Proloy Deb, Pragnaditya Malakar, Pradip Kumar Bora, Swatantra Kumar Dubey","doi":"10.1002/clen.202300351","DOIUrl":"10.1002/clen.202300351","url":null,"abstract":"<p>Flood frequency analysis is critical in flood planning and management and hydraulic structures design. While univariate flood frequency analysis (using the peak flow) is still widely employed in developing countries, how does it compare to the robust copula-based bivariate flood frequency analysis remains unknown. Moreover, there is also a decade-long critical question whether less data requiring hydrological models can be an alternate to the data-intensive models in flood prediction, especially in a developing tropical country like India? To answer these questions, this study aims in comparing two types of hydrological models (IHACRES, a less data requiring model, and VIC-3L, a data-intensive model) in simulating the peak flows, following which the simulated peak flows are used in a detailed comparison of the univariate and bivariate flood frequency analysis. The results indicate that the data-intensive fully distributed hydrological model performs poorly relative to the conceptually lumped IHACRES model at the study catchment in simulating the peak flows. Moreover, both univariate and copula-based bivariate flood frequency analyses show similar peak flows for a given return period at the study catchment. Given that bivariate flood frequency analysis accounts for both peak flow and flood volume, it is recommended over the univariate flood frequency analysis since the results are widely applicable for flood planning and hydraulic structure designing the developing countries.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"53 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140598441","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}
Muradiye Şahin, Yasin Arslan, Fatma Tomul, Füsun Akgül, Rıza Akgül
{"title":"Green synthesis of metal nanoparticles from Codium macroalgae for wastewater pollutants removal by adsorption","authors":"Muradiye Şahin, Yasin Arslan, Fatma Tomul, Füsun Akgül, Rıza Akgül","doi":"10.1002/clen.202300187","DOIUrl":"10.1002/clen.202300187","url":null,"abstract":"<p>Algae have adsorption properties and reducing agents due to their rich content. In this study, palladium nanoparticles (Pd NP), platinum nanoparticles (Pt NP), and iron oxide nanoparticles (Fe<sub>3</sub>O<sub>4</sub> NP) were prepared from <i>Codium macroalgae</i> using green synthesis. The structure of the synthesized nanoparticles was elucidated by X-ray diffractometry, Fourier transforms infrared spectroscopy, Brunauer–Emmett–Teller analysis, transmission electron microscopy, ultraviolet-visible spectroscopy and scanning electron microscopy-energy dispersive X-ray spectrometry and their use as nanoadsorbents for the removal of pollutants from aqueous media was investigated in detail. Naproxen (NPX), an anti-inflammatory drug, and the dyes methylene blue (MB) and cresol red (CR) were selected as pollutants for this study. Batch adsorption experiments were conducted using both real wastewater obtained from the Organised Industrial Zone of Isparta Province and synthetic water samples prepared with tap water from Burdur Province and pure water. Under optimum adsorption conditions, Pd NP showed significant efficiency in the real wastewater sample, with an adsorption capacity of 37.19 and 50.03 mg g<sup>–1</sup> for CR and NPX, respectively, within 150 min. In comparison, Pt NP showed an adsorption capacity of 40.01 mg g<sup>–1</sup> for MB within the same timeframe. These findings indicate that while Pd NP showed the highest adsorption capacity for both CR and NPX, Pt NP showed the highest adsorption capacity for MB. The Langmuir model and the pseudo-second-order equation were more suitable to describe the adsorption behavior of CR, MB, and NPX. In addition, studies on the desorption and reusability of the nanoadsorbents were carried out under the same optimum experimental conditions.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 5","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202300187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140598597","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":"Assessment of environmental odor pollution using a dispersion model in an industrialized urban area of Kocaeli, Turkey","authors":"Burcu Ergün Yüksel, Şenay Çetin Doğruparmak, Beyhan Pekey, Hakan Pekey","doi":"10.1002/clen.202300221","DOIUrl":"10.1002/clen.202300221","url":null,"abstract":"<p>The main goal of the present study was to highlight how crucial odor evaluation methods may be for raising the general standard of living in a region. For this, the dispersion of odor concentrations detected by an olfactometric method in an area of Kocaeli, Turkey, where odor problems are frequently experienced, was investigated using the AERMOD atmospheric dispersion modeling system. According to the findings of the olfactometric measurement, the mean odor concentrations in the industrial area was high at 1342 OU m<sup>–3</sup>, while in the residential areas the values were lower, at 578 OU m<sup>–3</sup> within the selected study area. As a result of the modeling study, the maximum odor concentration was 2081 OU m<sup>–3</sup> at the 1 h. The model also showed that the coordinate points where the maximum odor concentration was observed changed with time, and that the concentrations recorded at the 1 h may decrease by as much as 88%–91% at the 24 h. In the study, a survey was also conducted to identify possible effects of odor pollution on people. The survey findings showed a statistically significant difference (<i>p</i> < 0.05) between the two areas (industrial and residential) for seven variables of a total 28. We suggest that measuring odor concentrations, modeling their distribution, and conducting surveys are effective methods when managing the urban planning process.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 5","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202300221","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140301654","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}
Meixia Gu, Guangxue Zhou, Wei Zhu, Shuhai Guo, Jianing Dong, Lingyan Tian, Hongbo Dai, Dehui Kong, Xiaoshuang Yin, Bin Lou, Fushan Wen, Nan Shi, Dong Liu
{"title":"Remediation of petroleum-contaminated soil by Fenton oxidation–pyrolysis","authors":"Meixia Gu, Guangxue Zhou, Wei Zhu, Shuhai Guo, Jianing Dong, Lingyan Tian, Hongbo Dai, Dehui Kong, Xiaoshuang Yin, Bin Lou, Fushan Wen, Nan Shi, Dong Liu","doi":"10.1002/clen.202300082","DOIUrl":"10.1002/clen.202300082","url":null,"abstract":"<p>Petroleum-contaminated soil (PCS) is urgently to be remediated due to its risk to ecological environment and human health. In this study, a Fenton oxidation–pyrolysis strategy was employed to accomplish effective petroleum removal and PCS remediation. The highest total petroleum hydrocarbon removal efficiency could achieve 99.6% after 2 h Fenton oxidation, with H<sub>2</sub>O<sub>2</sub>/Fe<sup>2+</sup>, 6:1, and pH 3, followed by pyrolysis at 370°C. The organic compositions of the soil after Fenton oxidation, the kinetics and process of the pyrolysis, morphologies and structures of the treated soil, as well as energy consumption and cost savings were comprehensively researched and analyzed. Through the Fenton oxidation–pyrolysis treatment, the macromolecules were effectively degraded and the contents of asphaltenes and resins were significantly reduced in the soil. Graphitized carbon was dominatingly existed after the pyrolysis. A 1.5 order reaction model was proposed to reasonably describe the pyrolysis remediation process of PCS. The Fenton oxidation–pyrolysis treatment can reduce energy consumption and cost compared with pyrolysis alone. This work not only offered an alternative approach of PCS remediation, but also provided theoretical guidance for practical soil remediation.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 5","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140200188","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":"Masthead: Clean Soil Air Water. 3/2024","authors":"","doi":"10.1002/clen.202470032","DOIUrl":"https://doi.org/10.1002/clen.202470032","url":null,"abstract":"","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 3","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clen.202470032","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140181607","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}
Arturo Angel-Hernandez, Ixbalank Torres-Zúñiga, Carlos Alberto García-Munguía, Rogelio Costilla-Salazar, Glenda Edith Cea-Barcia
{"title":"Comparative assessment of methane emissions from the manure of Mexican Creole Hairless Pigs and Commercial Pigs fed the same diet","authors":"Arturo Angel-Hernandez, Ixbalank Torres-Zúñiga, Carlos Alberto García-Munguía, Rogelio Costilla-Salazar, Glenda Edith Cea-Barcia","doi":"10.1002/clen.202300166","DOIUrl":"10.1002/clen.202300166","url":null,"abstract":"<p>Pig production contributes significantly to the high environmental footprint of the livestock sector. Therefore, in this framework, a transition toward more sustainable production is essential. Local natural livestock resources, such as Mexican Creole Hairless Pigs, provide a good opportunity to achieve sustainable pig production. In the present study, a first approximation to compare the carbon emissions of Mexican Creole Hairless Pig manure from Commercial Pig manure is presented. Under the same feeding and housing conditions, the specific methane emissions of both Mexican Creole Hairless Pigs and Commercial Pigs manure were determined experimentally at room temperature. In addition, specific methane production kinetics was modeled using the Gompertz equation to estimate the specific methane production rate. The methane emission factors for Mexican Creole Hairless Pig manure (0.33 ± 0.02 kg[CO<sub>2</sub>-eq]/LU per day) were half those of Commercial Pig manure (0.7 ± 0.04 kg[CO<sub>2</sub>-eq]/LU per day), and biochemical manure analysis suggested that Mexican Creole Hairless Pigs had better digestibility of the diet. In general, due to physiological factors such as food intake rate and gut microbiota development, which could influence the fat and fiber digestibility of Creole genotypes, pig genotype should be included as an additional factor to estimate greenhouse gas emissions from pig manure. The production of Mexican Creole Hairless Pigs in an extensive local system is therefore an attractive option for developing new sustainable markets.</p>","PeriodicalId":10306,"journal":{"name":"Clean-soil Air Water","volume":"52 4","pages":""},"PeriodicalIF":1.7,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140026070","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}