The utilization of regional water resources has the potential to impact carbon emissions. Maintaining a decoupled relationship between water resources and carbon emissions facilitates harmonious regional development. Understanding the mechanism of their coordination is conducive to achieving the "Double Carbon" goal and control of regional carbon emissions and water resource consumption. This study examines the decoupling relationship between water resource utilization and carbon emissions in Poyang Lake area, China, employing the Tapio decoupling model and the LMDI(logarithmic mean divisia index) decomposition model. The results indicate that carbon emissions in Poyang Lake area exhibited a gradual increase, accompanied by an annual growth rate of 5.99 %. The water supply exhibited a slow expansion. They have exhibited state of affairs strong negative decoupling and expansive negative decoupling over the past 15 years. Moreover, this situation is most acute and worsening in the secondary industry. The water use structure effect and water economic benefit effect are the primary factors affecting carbon emission increases, contributing 57.93 % and 65.66 %, respectively. Carbon emissions intensity is the largest inhibiting factor, which accounts for a maximum contribution of 42.96 %. The order of potency of the driving factors is as follows: water economic benefit > carbon emission intensity > water use structure > water use efficiency. In summary, this research recognised the enhancement of the water economic efficiency index not only facilitates the decoupling phenomenon but also improves the water-carbon relationship, especially in the secondary industry. It serves as a compelling illustration of the significance of elucidating the interrelationship between regional water and carbon dynamics, and charting the course for the formulation of regional policies that would facilitate the advancement of environmentally conscious and carbon-neutral development, as well as water conservation.
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http://dx.doi.org/10.1016/j.heliyon.2024.e36292 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Department of Environmental Engineering, Kwangwoon University, Seoul 01897, Republic of Korea.
The advancement of highly efficient and cost-effective electrocatalysts for electrochemical water splitting, along with the development of triboelectric nanogenerators (TENGs), is crucial for sustainable energy generation and harvesting. In this study, a novel hybrid composite by integrating graphitic carbon nitride (GCN) with an earth-abundant FeMg-layered double hydroxide (LDH) (GCN@FeMg-LDH) was synthesized by the hydrothermal approach. Under controlled conditions, with optimized concentrations of metal ions and GCN, the fabricated electrode, GCN@FeMg-LDH demonstrated remarkably low overpotentials of 0.
View Article and Find Full Text PDFEnergy Fuels
January 2025
Geothermal Energy and Geofluids Group, Institute of Geophysics, Department of Earth and Planetary Sciences, ETH Zurich, Zurich 8092, Switzerland.
Carbon capture and storage (CCS) and CO-based geothermal energy are promising technologies for reducing CO emissions and mitigating climate change. Safe implementation of these technologies requires an understanding of how CO interacts with fluids and rocks at depth, particularly under elevated pressure and temperature. While CO-bearing aqueous solutions in geological reservoirs have been extensively studied, the chemical behavior of water-bearing supercritical CO remains largely overlooked by academics and practitioners alike.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Electrical and Electronic Engineering, Bangladesh University of Business and Technology, Dhaka-1216, Bangladesh.
Effectively managing and optimizing energy resources to accommodate population growth while minimizing carbon emissions has become increasingly intricate. A proficient approach to this dilemma is accurately predicting energy usage and emissions across diverse sectors. This paper unveils a genetic algorithm (GA)-optimized support vector regression (SVR) model designed to (i) predict electricity generation, (ii) predict energy consumption in four primary sectors-residential, industrial, commercial, and agricultural, and (iii) estimate sector-specific carbon emissions.
View Article and Find Full Text PDFHeliyon
January 2025
College of Politics and Governance, Mahasarakham University, Kantharawichai District, Mahasarakham, 44150, Thailand.
The imperative of addressing climate change has accentuated the pivotal role of reducing greenhouse gas emissions and harnessing the potential of community forests. This study meticulously explores the governance structures and mechanisms underpinning greenhouse gas emissions trading within community forests, aimed at curbing carbon emissions, and enhancing adaptive capacities in Thailand. With a central focus on cultivating enduring climate resilience, this research delves into the interplay of community perspectives with greenhouse gas emissions trading mechanisms, while also dissecting the genesis of sustainable strategies in the Thai context.
View Article and Find Full Text PDFACS Sustain Resour Manag
January 2025
Sandia National Laboratories, Albuquerque, New Mexico 87123, United States.
Wind energy offers a low emission source of energy while also being among the cheapest forms of electricity generation in the United States. While most materials in a wind turbine can be recycled at the end of their life, large composite blades are often treated as waste, leading to potential strains on regional landfills, a loss of durable materials, and forfeiture of embodied energy. Numerous approaches exist for recycling composite wind blades at various levels of technological and commercial maturity.
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