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Catalytic ozonation in advanced treatment of kitchen wastewater: multi-scale simulation and pilot-scale study
Catalytic ozonation is regarded as a promising technology in the advanced treatment of refractory organic wastewater. Packed-bed reactors are widely...
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Modeling desirable futures at local scale by combining the nature futures framework and multi-objective optimization
Envisioning positive scenarios that recognize the multiple values of nature is fundamental for designing transformative changes in local...
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A hybrid multi-scale fusion paradigm for AQI prediction based on the secondary decomposition
With rapid industrialization and urbanization, air pollution has become an increasingly severe problem. As a key indicator of air quality, accurate...
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Watershed runoff modeling through a multi-time scale approach by multivariate empirical mode decomposition (MEMD)
Accurate runoff modeling has an important role in water resource management. Attributable to the effects of climate variability and vegetation...
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Coupled adsorption–phytoremediation treatment of cellulose-reactive blue dye in a sustainable multi-step pilot-scale process
A single-step dye removal strategy from wastewater is inadequate for concentrations above 100 mg/L. In order to address this limitation, the...
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Upscaling of Se(IV) sorption coefficients with hierarchical mineral characterization in multi-scale fractured granite
The radionuclides sorption on fractured rocks is greatly influenced by the constituent minerals and their spatial variations of the fracture matrix....
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Multi-scale Challenges in the Food–Energy–Water Nexus
This chapter addresses a critique of food–energy–water (FEW) nexus studies: that they often focus on large-scale dynamics that play out between...
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Combined advanced oxidation dye-wastewater treatment plant: design and development with data-driven predictive performance modeling
The recalcitrant nature of the industrial dyes poses a significant challenge to existing treatment technologies due to the stringent environmental...
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Multi-objective location-scale optimization model and solution methods for large-scale emergency rescue resources
The location of emergency rescue resources is the basis for the supply of all kinds of materials required for rescue work. Appropriate selection of...
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Reliable sustainable management strategies for flare gas recovery: technical, environmental, modeling, and economic assessment: a comprehensive review
The gas flaring network is an inseparable constituent commonly present in most of the oil and gas refineries and petrochemical facilities conferring...
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A systematic review of modeling approaches in green supply chain optimization
Over the past decade, the significance of optimizing green supply chain management (GSCM) has gained unprecedented attention from both scholars and...
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Effects of landscape structure on river water characteristics: a multi-scale analysis
This study aimed to assess the relationship between landscape characteristics and water quality in two distinct basins. Through the utilization of...
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Mathematical modeling of the anodic oxidation of organic pollutants: a review
Anodic oxidation is a promising method for removing organic pollutants from water due to its high nonselectivity and effectiveness. Nevertheless, its...
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Two-stage deep learning hybrid framework based on multi-factor multi-scale and intelligent optimization for air pollutant prediction and early warning
Effective prediction of air pollution concentrations is of great importance to both the physical and mental health of citizens and urban pollution...
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A carbon price hybrid forecasting model based on data multi-scale decomposition and machine learning
Accurate carbon price forecasting is of great significance to the operation of carbon financial markets. However, limited by the non-linearity and...
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How has China’s industrial eco-efficiency been improved? Evidence from multi-scale countrywide study
The process of industrialization often causes resource depletion and environmental pollution. To shed light on China’s resource use and pollution...
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Addressing uncertainty in Participatory Integrated Assessment: qualitative modeling approach for risk estimation
Participatory Integrated Assessment (PIA) has become a vital tool for decision-making for sustainable development, but it faces significant...
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Systematic scenario modeling for priority assessment of sustainable development goals in China under interaction and uncertainty
As an integrated and indivisible agenda encompassing the realms of economics, society, and the environment, the sustainable development goals (SDGs)...
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A review on the scaling properties in maximum rainfall marginal distributions: theoretical background, probabilistic modeling, and recent developments
The modeling of sub-daily extreme rainfall has long constituted a challenge for hydrologists in view of the limited availability of data, both in...
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Multi-scale habitat selection and impacts of climate change on the distribution of four sympatric meso-carnivores using random forest algorithm
BackgroundThe habitat resources are structured across different spatial scales in the environment, and thus animals perceive and select habitat...
