When and how to achieve a carbon peak is a concern for provincial regions within China under the context of achieving carbon neutrality in 2060. This study investigates the overall carbon peak environmental and resource impacts under current national targets and Shanghai's latest more aggressive carbon peak policy by using a dynamic multiple-region computable general equilibrium (CGE) model for the year 2030. Results show that (1) the national carbon peak and the more aggressive regional policy in Shanghai will result in energy consumption and carbon emissions decreases when compared to the business-as-usual scenario in most provinces; (2) although some cobenefits in water use reduction may occur in most provinces under the carbon policy scenarios, the results show positive and negative variations; (3) provincial level environmental and resources in transport, electricity, metal smelting and pressing, and agricultural production sectors are most influenced by Shanghai's aggressive carbon peak policy; and (4) the outsourced environmental and resource impacts from Shanghai to other provinces are very significant under Shanghai's aggressive carbon policy. These relevant results provide insights to facilitate broader governance decision-making for environmental resource nexuses while seeking an improved understanding of global sustainable development and climate governance.
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http://dx.doi.org/10.1021/acs.est.2c02884 | DOI Listing |
Small Methods
January 2025
Institute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, P. R. China.
With the proposal of the "carbon peak and carbon neutrality" goals, the utilization of renewable energy sources such as solar energy, wind energy, and tidal energy has garnered increasing attention. Consequently, the development of corresponding energy conversion technologies has become a focal point. In this context, the demand for electrochemical in situ characterization techniques in the field of energy conversion is gradually increasing.
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January 2025
School of Engineering and Materials Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK.
Antimicrobial resistance (AMR) is a major cause of death worldwide, with 1.27 M direct deaths from bacterial drug-resistant infections as of 2019. Dissemination of multidrug-resistant (MDR) bacteria in the environment, in conjunction with pharmapollution by active pharmaceutical ingredients (APIs), create and foster an environmental reservoir of AMR.
View Article and Find Full Text PDFMikrochim Acta
January 2025
Federal University of Uberlândia, Chemistry Institute, Uberlândia, MG, 38400-902, Brazil.
The use of 3D-printed electrodes is reported fabricated from in-house conductive filament composed of a mixture of recycled poly (lactic acid) (rPLA), graphite (Gpt), and carbon black (CB) for fast detection of the abused drug ketamine. Firstly, the performance of these electrodes was evaluated in comparison to 3D-printed electrodes produced employing a commercially available conductive filament. After a simple pretreatment step (mechanical polishing), the new 3D-printed electrodes presented better performance than the electrodes produced from commercial filament in relation to peak-to-peak separation of the redox probe [Fe(CN)]/ (130 mV and 759 mV, respectively), charge transfer resistance (R = 1.
View Article and Find Full Text PDFAnaesthesia
January 2025
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Introduction: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predictive model for 1-year mortality in patients undergoing complex non-cardiac surgery using a novel machine-learning technique called multi-objective symbolic regression.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
Nanoporous metals, a class of free-standing, high specific-area materials, evolve from interface-controlled self-organization in a selective dissolution (e.g., dealloying).
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