The increasing global water consumption, especially due to industrial growth, results in a proportional generation of wastewater that must be treated before reuse or return to nature. Effective solutions are especiall...
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The increasing global water consumption, especially due to industrial growth, results in a proportional generation of wastewater that must be treated before reuse or return to nature. Effective solutions are especially needed for treating oily wastewater, a common industrial effluent with serious environmental and public health consequences when discharged untreated. Membrane separation processes have emerged as a promising technology to replace conventional methods for oil-water separation due to their selectivity and environmental benefits. While polymeric membranes currently dominate industrial oily wastewater treatment, challenges such as fouling susceptibility and poor stability against chemicals hinder their long-term sustainability. In response, highly hydrophilic ceramic membranes, especially silicon carbide (SiC), have gained significant attention owing to their remarkable attributes, including high durability, chemical resistance, and mechanical stability. SiC membranes enable the treatment of oil solutions with high concentrations, bypassing the need for additional pretreatment steps. Notably, SiC membrane separation is considered an environmentally friendly method for reducing oil, dissolved organic matter, and salt in the crude oil-water-rich phase, enhancing the industrial viability of oily wastewater separation in various processes, including wastewater treatment plants, petroleum, food, and pharmaceuticals. This review article provides a comprehensive overview of the state-of-the-art in SiC membranes for efficient oily wastewater treatment, encompassing processing methods, membrane properties, and performance evaluation. Moreover, it delves into the challenges and future directions of SiC membranes, including fouling mitigation, cost-effectiveness, and scalability. By shedding light on the untapped potential of SiC membranes, this review aims to contribute to the advancement of sustainable oily wastewater treatment technologies.
Interactive data visualization can be a viable way to discover patterns in patient-generated health data and enable health behavior changes. However, very few studies have investigated the design and usability of such...
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Interactive data visualization can be a viable way to discover patterns in patient-generated health data and enable health behavior changes. However, very few studies have investigated the design and usability of such data visualization. The present study aimed to (1) explore user experiences with sleep data visualizations in the Fitbit app, and (2) focus on end users' perspectives to identify areas of improvement and potential solutions. The study recruited eighteen pre-medicine college students, who wore Fitbit watches for a two-week sleep data collection period and participated in an exit semi-structured interview to share their experience. A focus group was conducted subsequently to ideate potential solutions. The qualitative analysis identified six pain points (PPs) from the interview data using affinity mapping. Four design solutions were proposed by the focus group to address these PPs and illustrated by a set of mock-ups. The study findings informed four design considerations: (1) usability, (2) transparency and explainability, (3) understandability and actionability, and (4) individualized benchmarking. Further research is needed to examine the design guidelines and best practices of sleep data visualization, to create well-designed visualizations for the general population that enables health behavior changes.
The technical landscape of railyard sites brings together a multidisciplinary set of expertise and needs. It entails the union of engineering and landscape design concerns, to redefine these spaces in the way they are...
The technical landscape of railyard sites brings together a multidisciplinary set of expertise and needs. It entails the union of engineering and landscape design concerns, to redefine these spaces in the way they are maintained and potentially transformed. The paper gives an overview of this interplay, focusing on the Dutch panorama to describe experimental procedures to manage and leverage railyards' green spaces in their transformation. It is presented a specific case study, the design for Amsterdam PHS, where technological advancement allowed to redefine the railyard section, providing a new urban park for the city. Ultimately is explored the potentialities and impact of translating this approach in another territorial context, the Italian one, where abandonment phenomena are widespread. The originality of the contribution lies in correlating aspects usually disconnected, such as technical needs, design, and ecological thinking, to propose an alternative management and redevelopment outlook.
Chlorine residual concentrations in water distribution systems could be utilized as a microbiological contamination indication. In this study, the method which parameterizes a parallel first-order equation to describe...
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Chlorine residual concentrations in water distribution systems could be utilized as a microbiological contamination indication. In this study, the method which parameterizes a parallel first-order equation to describe the chlorine decay induced by microbial suspensions over a wide range of conditions based on a limited number of batch experiments was tested. Recent evidence in the literature contradicted this idea. Furthermore, the results showed that the suggestion of a parallel first-order decay model for calculating the chlorine decay generated by microbial suspensions, which included empirical equations for each of the parameters of the model, is not universal. Finally, this study certified that EPANET-MSX could be used to simulate the chlorine concentration when a contaminant was introduced in a drinking water distribution system, specifically to determine its minimum value.
The first case of COVID-19 in Brazil was registered in the city of Sao Paulo on February 26, 2020;however, restrictive measures and social distancing were only determined in the city on March 17, 2020. A partial lockd...
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The first case of COVID-19 in Brazil was registered in the city of Sao Paulo on February 26, 2020;however, restrictive measures and social distancing were only determined in the city on March 17, 2020. A partial lockdown aimed to mitigate the advance of the virus by raising the social isolation rates, by limiting the operation of several services and the mobility of the population. Thus, this study aims to analyze the relationship between the social isolation index in the city of Sao Paulo and the emission levels of the main air pollutants (PM10, PM2.5, NOx, NO, NO2, SO2 and CO), as well as air temperature. We analyzed the data collected from three urban air quality monitoring stations located in the city center of Sao Paulo from March 16, 2020 to July 20, 2020. The data for 2020 were compared with those of the previous period in 2020 and the same period in the previous 5 years (2015-2019), and also to the city's official indices of social isolation. The relationships between pollutant concentrations and the social isolation index showed that the decrease in mobility influenced the reduction in air pollution. Pollutants NO2, NOx, NO and CO had the strongest negative associations (Pearson's correlation = - 0.582;0.481;- 0.433 and - 0.367, respectively). Our results showed that the partial lockdown (from March 17, 2020, to July 20, 2020) had a positive impact on air quality, with a reduction in the emission of pollutants NO (31.75%), NO2 (20.60%), NOx (27.21%) and CO (29.95%). The greatest reductions in the emission of pollutants were observed when the social isolation index reached an average of 52.20%. Small negative fluctuations in the social isolation index broke the most significant reductions observed at the beginning of social isolation.
The Funda similar to o Dam rupture in Mariana, Brazil spilled contaminated tailings across the Doce River basin reaching several towns such as Ipaba. Ibapa's agricultural and fishing activities declined by 50% due...
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The Funda similar to o Dam rupture in Mariana, Brazil spilled contaminated tailings across the Doce River basin reaching several towns such as Ipaba. Ibapa's agricultural and fishing activities declined by 50% due to the toxicity of sodium and ether-amine, followed by a reduction of nitrate resulting in inhibition of plant growth and biota. A settler's community in Ipaba composed of 51 families whose main sources of income were agriculture and fishing activities have abandoned their properties because the land became unproductive after the Funda similar to o dam rupture, and the rural exodus is a current concern in the town. However, previous research has demonstrated that the remediation of sodium and ether-amine, as well as the recovery of soil fertility is feasible, enabling the establishment of the native Atlantic Forest and crop species. Such procedures are recommended to recover the agricultural production in Ipaba. Aiming at protecting these cropping areas against flooding, we propose the creation of riparian forests in the floodplains. In order to make the settlers able to properly manage their lands in a post-disaster scenario, a recovery plan for Ipaba may be implemented via nature based solutions supported by social capital actions such as agroforestry technical training schools and social association, which are shown through schemes and three-dimensional modelling.
Measuring window to wall ratios (WWRs) is key to assessing building performance as facade apertures control the admission of light, wind and heat. However, this data is not always publicly available. This paper detail...
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ISBN:
(数字)9781713852889
ISBN:
(纸本)9781713852889
Measuring window to wall ratios (WWRs) is key to assessing building performance as facade apertures control the admission of light, wind and heat. However, this data is not always publicly available. This paper details a methodology for automatically extracting and rectifying street-view facade imagery while utilizing a Machine Learning model to detect WWRs with architectural generalization in mind. Although several models of detection have emerged to categorize facade features, some lack robustness when presented with greater design diversity. Hence, the training and validation process of the Convolutional Neural Network (CNN) model utilized is centered around three main data categories;environmental conditions, design diversity and context. The results show that the proposed workflow sufficiently represents the WWRs of buildings in an area in Lisbon under varied design conditions. We find that the distribution of prediction accuracy, tested on 864 facades, shows that 72% of buildings are detected within the 10% error range.
This paper investigates the corrosion factor to the global strength of aging offshore jacket platforms in different marine zones. The time-dependent corrosion wastage model from Melchers, an active corrosion expert, b...
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This paper investigates the corrosion factor to the global strength of aging offshore jacket platforms in different marine zones. The time-dependent corrosion wastage model from Melchers, an active corrosion expert, by considering different marine zones, i.e., atmospheric, splash, and immersion. In addition, three aged jacket platform models of the originally installed platform were selected to investigate the effect of corrosion wastage on global strength. The jacket platform's global strength is calculated by the Reserve Strength Ratio (RSR) value. RSR is obtained via nonlinear static pushover analysis and is always used to estimate overall structure strength reserves. Safety assessment is evaluated by the PETRONAS Technical Standard (PTS). According to this study, immersion zone corrosion is the most influential zone after splash zone corrosion. Furthermore, the study also predicts the lifetime of each jacket platform, and it is useful for structural engineers to estimate corrosion allowance at the early design stage.(c) 2022 Society of Naval Architects of Korea. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).
Accurate and precise values of hydrodynamic parameters are needed for groundwater modeling and management. Pumping test in the aquifer is the standard method to estimate the transmissivity, hydraulic conductivity, and...
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Accurate and precise values of hydrodynamic parameters are needed for groundwater modeling and management. Pumping test in the aquifer is the standard method to estimate the transmissivity, hydraulic conductivity, and storage coefficient as the key hydrodynamic parameters. Analytical solutions with curve matching and numerical modeling are two methods to estimate these parameters in the aquifer. Graphical analyses are commonly applied to time-drawdown/water table data which are time-consuming and approximate. Graphical type-curve methods as promising tools are used extensively in water resources studies, while applying these methods is still new in pumping test analysis. In the current study, the first effort based on our knowledge, we have reviewed the literature type-curve graphical methods in pumping test analysis. To achieve this goal, we reviewed and compared the journal articles regarding the characteristics and capabilities of the modeling process from 2000 to 2022. We have clustered the reviewed papers into graphical, modeling, and hybrid categories. Then, a comprehensive review of the selected papers was presented to delineate the highlight of every paper. This review could guide researchers in pumping test analysis. Also, we have presented various recommendations for future research to improve the quality of hydrodynamic parameter estimation.
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