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casestudies, etc ; energy; hydrogen; normal distribution; uncertainty; Show all 5 Subjects
Abstract:
... Hydrogen management in an uncertain environment is an important aspect considering environmental and economic perspectives. In this paper, a novel framework and analysis for minimizing compression work in hydrogen allocation network (HAN) with parametric uncertainties are presented which includes stochastic and robust optimization approaches. The applicability of the proposed approaches is applied ...
casestudies, etc ; green infrastructure; models; risk; watersheds; China; Show all 6 Subjects
Abstract:
... Urban green space (UGS) contributes significantly to urban settlements with respect to frequent rainstorm events and population agglomeration issues, but there is limited understanding of the spatial match between green space supply and social demand. This study established an integrated evaluation framework relating to the supply–demand balance of UGS. In a case study of Beijing, the urban waterl ...
casestudies, etc ; acrylamides; chemical species; food chemistry; potatoes; Show all 5 Subjects
Abstract:
... This study developed a simple, rapid, stable, and reliable technique for acrylamide (AAm) detection through surface-enhanced Raman scattering (SERS) on an AgNPs substrate with an aggregating agent. Specifically, the agglomeration effects of five types of salt solutions (NaCl, KCl, MgCl₂, Na₂SO₄, and MgSO₄) were investigated at different concentrations and optimized using an orthogonal experiment. ...
casestudies, etc ; aerosols; air pollution; dust; rain; China; Show all 6 Subjects
Abstract:
... Fugitive road dust (FRD) contributes a great deal to urban rainwater and air pollution and is commonly controlled by water-sprinkling in most Chinese cities. However, there is a lack of information on its effectiveness. We used the Testing Re-entrained Aerosol Kinetic Emissions from Roads (TRAKER) method to monitor different types of roads in Baoding city before and within 1 hr after water-sprinkl ...
casestudies, etc ; cliffs; environment; evolution; water power; Italy; Show all 6 Subjects
Abstract:
... Procida Island, located in the Gulf of Naples (southern Italy), is characterized by steep cliffed coasts, articulated in a succession of headlands and small embayments with narrow pocket beaches, such as Ciraccio and Chiaia, often characterized by instability. In this study, a methodology for coastal cliff susceptibility assessment has been conceived based on hydraulic and geomorphological charact ...
casestudies, etc ; compliance; environment; food industry; stakeholders; supply chain; sustainable development; Show all 7 Subjects
Abstract:
... Due to its strategic position and direct relationship with multiple stakeholders, the HoReCa sector can be a crucial node for the promotion of sustainability in the agri-food chain. However, the sector is currently responsible for a high environmental, social, and economic load. A recent response to these impacts is the diffusion of initiatives that assess and promote sustainable practices at the ...
casestudies, etc ; anisotropy; canopy; normal distribution; standard deviation; turbulent flow; winter; China; Show all 8 Subjects
Abstract:
... The turbulent standard deviations and the turbulent third-order and fourth-order moments are the key turbulence dispersion parameters in Lagrangian dispersion models. However, the characteristics of these parameters under heavy haze conditions in urban areas have not been fully investigated, and the commonly used similarity relations of these parameters in models were based on observations in high ...
casestudies, etc ; carbon; electricity; heat transfer; models; prices; seasonal variation; temperature; thermal energy; Show all 9 Subjects
Abstract:
... The optimal design of borehole thermal energy storage systems can ensure their techno-economical goals are met. Current design optimization methods either employ detailed modelling unsuitable for numerical optimization or use simplified models that do not consider operational conditions. This paper proposes an optimization-oriented model and a non-convex optimization formulation that, differently ...
casestudies, etc ; altitude; basins; models; rain; snow; snowmelt; soil water; spring; summer; temperature; Show all 11 Subjects
Abstract:
... Shallow landslides (SLs) are rapid soil mass movements, typically occurring in the mountain areas, involving the most superficial soil layers up to 5 to 10 m in depth. Damages, and casualties due to shallow landslides are recorded globally, and in literature a variety of models to study landslides have been implemented hitherto. Often times, shallow landslides occur in the wake of snowfall events, ...
casestudies, etc ; cooling; energy efficiency; feasibility studies; renewable energy sources; waste heat recovery; weather; Show all 7 Subjects
Abstract:
... The energy consumption of data centers (DC) has increased rapidly over the past years. Regional studies are an effective way to find the optimal integration of renewable energy, free cooling and waste heat recovery technologies to improve the energy efficiency of DCs. In this study, the feasibility of a net zero energy DC was evaluated. As a case study a bank DC in Kocaeli, Turkey was monitored ho ...
casestudies, etc ; air; carbon dioxide; combustion; environment; inventories; resource allocation; spatial data; transportation industry; China; Show all 10 Subjects
Abstract:
... Emission inventory plays an important role in designing effective emission control strategies. Currently, there is unbalanced development of CO₂ and air pollutant emission inventories in China and the spatial information of both cannot be obtained simultaneously, which prevents a collaborative control strategy. In this study, we developed a unified emission inventory including both CO₂ and air pol ...
casestudies, etc ; algorithms; artificial intelligence; energy; geometry; greenhouse gases; models; natural gas; prediction; regression analysis; Show all 10 Subjects
Abstract:
... Energy consumption prediction is an integral part of planning and controlling energy used in the building sector which accounts for 40% of the global energy consumption and a significant portion of greenhouse gas emissions. However, very few studies focused on the combined effect of building characteristics, building geometry, and urban morphology on energy performance. Such a research gap is addr ...
casestudies, etc ; algorithms; carbon; energy; issues and policy; models; renewable energy sources; system optimization; systems engineering; Show all 9 Subjects
Abstract:
... To achieve the target of carbon neutrality, the present work proposes a lifecycle carbon reduction subsidy policy to promote the exploitation of renewable energy technologies in remote areas. The hierarchical optimization of policy and design for a standalone hybrid renewable energy system is further conducted based on the proposed subsidy policy. The upper-level policy optimization model aims to ...
casestudies, etc ; absorption; chemical oxygen demand; color; environment; lakes; models; satellites; water quality; China; Yangtze River; Show all 11 Subjects
Abstract:
... Chemical oxygen demand concentration (CCOD) is widely used to indicate the degree of organic pollution of lakes, reservoirs and rivers. Mastering the spatiotemporal distribution of CCOD is imperative for understanding the variation mechanism and controlling of organic pollution in water. In this study, a hybrid approach suitable for Sentinel 3A/Ocean and Land Colour Instrument (OLCI) data was deve ...
casestudies, etc ; absorption; adulterated products; chromatography; dielectric spectroscopy; electrochemistry; food chemistry; oils; peanuts; principal component analysis; Show all 10 Subjects
Abstract:
... Traditional approaches to characterize edible oils such as chemical, chromatographic and light absorption techniques are laborious, expensive, and bulky to implement. This paper presents the electrochemical impedance spectroscopy of 13 types of edible oils, a rapid robust approach to characterizing the electrical behavior of oils without sample preparation. This is achieved through probing the oil ...
... Data on the occurrences of legacy and alternative per- and polyfluoroalkyl substances (PFASs) in glioma are scarce. It remains unclear if PFASs exposure is related to the prevalence of glioma. A total of 137 glioma and 40 non-glioma brain tissue samples from patients recruited from the Nanfang Hospital, South China were analyzed for 17 PFAS compounds. Perfluorohexanoic acid, perfluorooctanoic acid ...
... The reduction of the total amount of coal, a priority energy to achieve the goal of carbon peak and carbon neutralization, has become the focus of domestic and foreign scholars. Taking coal consumption in Shandong Province as the research object, this paper builds a methodology system that uses aggregate reduction indicators to force coal consumption control path research based on the method of sc ...
casestudies, etc ; Bayesian theory; data collection; ecosystems; environment; freshwater; lakes; models; phosphorus; poisonous algae; spring; uncertainty; Lake Erie; Show all 13 Subjects
Abstract:
... Ecological models help provide forecasts of ecosystem responses to natural and anthropogenic stresses. However, their ability to create reliable predictions requires forecasts with track records sufficiently long to build confidence, skill assessments, and treating uncertainty quantitatively. We use Lake Erie harmful algal blooms as a case study to help formalize ecological forecasting. Key challe ...
... Two 3-month-old goats (Capra aegagrus hircus and C. hircus coreanae) died after ataxia. In both goats, white nodules 3 mm in diameter were scattered from the duodenum to the ileum and well-raised white nodules 2–3 mm–diameter in the mucosa of the small intestine. Histopathologically, numerous mucosal polyps with coccidial oocysts were observed in the small intestine and several schizonts, macrogam ...
casestudies, etc ; agricultural land; environment; flood control; forests; fractal dimensions; grasses; land cover; landscapes; neural networks; remote sensing; shrubs; urban development; Show all 13 Subjects
Abstract:
... Evaluating flood susceptibility, identifying flood-prone areas, and planning reasonable landscape patterns are important measures in promoting sustainable urban development and flood mitigation. To this end, this study evaluated the flood susceptibility using a neural network model depending on a flood inundation map created from satellite data from 2010 to 2020, and explanatory factors for flood ...