Urban–rural integrated development is a promising strategy for advancing China’s low-carbon economy at the county level. This study uses satellite data sets to examine the relationship between urban–rural integration and low-carbon economic development across Chinese counties. We focus on three key dimensions: spatial integration, ecological protection, and urban–rural linkages. Our findings show that spatial integration may inadvertently hinder low-carbon economic progress. However, this negative impact is mitigated in counties with higher GDP per capita and optimized industrial structures. Furthermore, ecological protection is shown to enhance low-carbon economic status, particularly in counties with lower rural population densities. Urban–rural linkages also exhibit a positive influence on county-level low-carbon outcomes, with significant effects noted in counties with high urban per capita GDP or low rural population density. These findings illuminate the intricate relationships between urban–rural integration and low-carbon economic development, emphasizing the necessity for targeted policy interventions.

Resource availability drives viral ecological strategies across soil depths

To address the issues of carbon trading cost allocation and emission reduction incentives in integrated energy system, a low-carbon economic dispatch strategy considering multi-agent green certificate-carbon trading bidirectional interaction and cost allocation is proposed. First, by introducing green certificate trading and a tiered carbon emission trading mechanism, a bidirectional interaction model for green certificates and carbon quotas is constructed, and the low-carbon value of electricity-heat-hydrogen hybrid energy storage is quantified. Second, a multi-agent carbon trading cost allocation model is designed, and a leader-follower game model is established with energy marketer as the leader and energy supplier and load aggregator as followers. Dynamic time-of-use carbon pricing is used to guide the optimization of equipment output and energy consumption strategies. On this basis, a triple incentive strategy based on electricity price incentives, green certificate revenue, and carbon trading compensation is proposed to enhance the economic feasibility of electricity-heat-hydrogen hybrid energy storage. Additionally, a lifespan degradation model is established to more accurately evaluate its long-term operational costs.Research findings indicate that adopting a dual-interaction mechanism combining green certificates and tiered carbon trading reduced the comprehensive operating costs of IES by 1.72% and lowered carbon emissions by 0.53%. The triple incentive strategy increased the operational revenue of the electricity-heat-hydrogen hybrid energy storage system by 76.16%, while improving the utilization rates of wind and solar power generation by 1.26% and 2.6%, respectively. The multi-party carbon trading cost-sharing mechanism boosted the system's overall total revenue by 3.71%, reduced total costs by 11.97%, lowered carbon trading costs by 21.06%, and decreased total carbon emissions by 19%. • A novel GCT–CET bidirectional mechanism quantifies the low-carbon value of electricity-heat-hydrogen hybrid energy storage. • Master–slave game with dynamic TOU carbon pricing guides energy dispatch and allocates multi-agent carbon trading costs. • Electricity price, GCT, and CET incentives drive hybrid storage to improve renewable integration and peak-valley regulation. • The strategy cuts system carbon emissions by 19% and lowers operational costs by 11.97% versus conventional methods. • A lifetime degradation model for electrolyzers and batteries enables more accurate long-term system cost assessment.

In the face of global population growth, climate volatility and mounting ecological pressures, agricultural science is shifting from traditional yield-centered paradigms toward integrated, sustainable development models. This study employs CiteSpace (version 6.1.5) to conduct a comprehensive bibliometric analysis of 1780 scholarly publications on agricultural science research from 2000 to 2024, drawn from both the Web of Science and China National Knowledge Infrastructure (CNKI) databases. By adopting a systematic process of article selection as represented by the PRISMA flowchart, the dataset was refined through rigorous inclusion and exclusion criteria to ensure analytical robustness. CiteSpace, a powerful visualization and analysis tool, and VOSviewer were used to conduct keyword co-occurrence mapping, cluster analysis, temporal evolution modeling and institutional collaboration analysis. The results reveal three dominant global research themes: climate change adaptation, agricultural system resilience and technological innovation. Global trends augment precision agriculture, carbon management and digitalization. Chinese studies continue to focus on yield increment and improvement of principal crops, underlined by the growing application of smart agriculture, ecological administration and rural revitalization policies. Institutional research finds Jiangsu University to be an essential node in China's agricultural science network. By synthesizing cross-regional, bilingual datasets, this study offers new evidence for the converging but also diverging paths of agricultural research worldwide and in China. Such evidence is supportive of the use of evidence-based policy making, academic strategy and innovative agricultural reform in the context of sustainable development. © 2025 Society of Chemical Industry.

Understanding the spatial variability and environmental drivers of soil organic carbon (SOC) is critical for improving carbon management in fragile karst landscapes. This study collected 110 topsoil samples across county Yangshan, southern China, and applied an interpretable machine learning framework combining Random Forest (RF) and SHapley Additive exPlanations (SHAP) to explore the spatial heterogeneity and key environmental controls of SOC. The measured contents ranged from 3.33 to 44.20 g/kg, with a coefficient of variation of 43.5%, indicating moderate variability. RF-based spatial predictions revealed that higher SOC levels were mainly concentrated in the northern and southern subregions associated with clastic rocks, while lower SOC values clustered in central areas dominated by carbonate bedrocks. SHAP analysis indicated that soil physicochemical properties contributed over 53% to SOC, with total nitrogen and cation exchange capacity exerting the strongest influences, particularly in karst zones. Hydrological, vegetation, and terrain-related factors showed moderate importance, especially in high-elevation areas with natural vegetation and complex topography that promoted SOC accumulation. In contrast, climatic variables had relatively weak impacts, with their influences clustered in lowlands dominated by anthropogenic land uses. These findings revealed spatially heterogenous controls on SOC between karst and non-karst landscapes, emphasizing the dominant role of soil properties under shallow, erosion-prone conditions and highlighting the role of topography and vegetation in enhancing SOC stocks in mountainous areas. The integrated use of interpretable machine learning approaches improves the understanding of localized SOC dynamics and provides a valuable reference for precision carbon management and ecological restoration in other environmentally sensitive regions. • RF-SHAP framework effectively identified key environmental drivers on SOC. • Local SHAP values visualized spatial heterogeneity in karst and non-karst areas. • TN and CEC dominated contributions of SOC, especially under karst landscapes. • Hydrology, vegetation, and terrain influenced SOC in high-elevation clastic zones. • Climatic impacts clustered in lowlands associated with anthropogenic disturbance.

Impact of microalgae-integrated windows on building performance: Energy, daylight, and carbon analysis using an innovative simulation method

Treatment and resource recovery of N,N-Dimethylformamide waste liquids: A review of processes and prospects

Cyanobacteria-driven morphology and adaptive microbial succession: Resilience mechanisms in algal-bacterial granular sludge under tripartite stress.

Shifting daily commutes from private cars to walking, cycling, or public transit can simultaneously reduce household expenses, ease pressure on public budgets, and mitigate social and environmental externalities. Using an origin-destination survey combined with administrative data for Quebec, this study develops an integrated cost-benefit framework to evaluate modal-shift scenarios. Results indicate that up to one-third of car commutes in the province's largest metropolitan area (Montreal) could potentially shift to sustainable alternatives, generating annual public savings of about CAD 1.2 billion, reduced external costs of CAD 2.5 billion, and lower commuting-related carbon emissions by 12 percentage points. Extending the analysis to the provincial level doubles total savings to nearly CAD 7 billion per year and cuts total carbon emissions by roughly 1 p.p. Modest active mobility infrastructure upgrades along key routes could unlock about 20% of this potential, while achieving the full triple-win will require more ambitious and coordinated policies. • Modal shifts to active and public transportation reduce private, public, and external costs. • Walking and cycling save up to $0.07 per dollar spent, while driving costs $0.78. • Shifting car trips under 5–10 km could cut Quebec's annual GHG emissions by 1%. • These shifts could save $4–$7 billion annually, including $1.8–$3.4 billion in external costs. • Modest active mobility infrastructure upgrades could unlock about 20% of this potential. • Achieving the full triple-win will require coordinated policies targeting infrastructures and behaviors.

Multi-stage dolomitization of Upper Triassic–Lower Jurassic carbonates in the Kurdistan Region, northeastern Arabian Plate: Insights from cathodoluminescence, SEM–EDX, and stable isotope data

Differentiated pathways for enhancing green innovation quality in the automotive industry guided by ESG frameworks and energy policies

Solution-mined salt caverns are in versatile use for large-scale storage-withdrawal of petroleum products (collectively underground gas storage—UGS), as well as novel applications essential for transition to net zero carbon economy: hydrogen gas (UHS) and compressed air energy storage (CAES). We present the first comprehensive Canada-wide review of bedded and halokinetic halite formations suitable for cavern storage. Such halites occur at depths of ~200-2000 m in the industrially developed regions (Fig. 1): Western Canada sedimentary basin (WCSB) in the Prairie provinces; Salina Group in Ontario; and in the Maritimes sedimentary basin (the Gulf of St. Lawrence and onshore mostly in New Brunswick, Nova Scotia, and Newfoundland). The Devonian salt beds of WCSB are undeformed, and the size of caverns is limited by thickness of halite beds (40-100 m, maximum 200 m). There are 196 caverns in Alberta and Saskatchewan, most of them active. In Ontario, Salina Group halite beds are of variable thickness with complex, dissolution-controlled outlines. This region counts 142 active and historical caverns. The Maritimes Basin is a “saline giant” with thick Mississippian-age halites forming diapirs and walls. Several gas storage prospects were recently launched in the Maritimes, most notably in southern Newfoundland. Underexplored and untapped potential for salt caverns exists in frontier regions: the northern WCSB where Cambrian halites were partly involved in halokinesis to form walls and diapirs, in Hudson Bay depocenter (undeformed Devonian halites), and in the Canadian Arctic Archipelago where salt tectonics had formed domal structures potentially suitable for large (> 1 Mm 3 ) caverns.

Transition to a low-carbon economy and its implications for financial stability in Russia

• ‘Green jobs’ (GJ) discourse circulates among climate policymakers and campaigners. • I show that the promise of green jobs has limited resonance for some communities. • It lacks resonance for people who are attached to traditional industries. • Repurposing people’s industrial attachments might sow the seeds of support for GJ. • This is important to achieve net zero transformations. ‘Green jobs’ discourse circulates with intensity among climate policy networks in the United Kingdom and internationally. Social actors assume that the promise of the mass delivery of green jobs will help to build public support for a net zero industrial transition among communities with affective ties to high-carbon industries. In this paper, I use interview and ethnographic data collected in a northern English town to critically examine this assumption. Drawing on conceptual work about the nature of ‘attachments’, I show that proposals for the delivery of new green jobs and industries are felt to lack credibility and have limited resonance with some communities. By making this argument, I put forward a novel analysis within energy and industrial geographies about the tension between imagined sustainable futures (envisaged by policymakers and environmental campaigners) and the materiality of attachments to traditional industries (experienced by communities). I conclude by exploring how low carbon infrastructures might be rendered more affecting. One response lies in recognising and repurposing people’s industrial attachments; this necessitates forms of investment attuned to place-specific sensitivities.

Removal of nitrate by aerobic denitrification granular sludge under strongly alkaline and low carbon to nitrogen ratio conditions: Performance and mechanism.

Two distinct patterns for advanced simultaneous nitrogen and phosphorus removal treating low C/N wastewater in a low DO anaerobic/oxic/anoxic-aerobic granular sludge (AOA-AGS) system.

In situ micro-nano bubbles for enhanced and regenerative lithium extraction from salt lake brines.

Low carbon integrated energy system management framework considering multiple energy production and supply uncertainties

Metallurgical solid waste-derived skeleton enables shape-stabilized phase change materials with robust properties for high-temperature (≥600 °C) thermal energy storage

Pilot-scale sulfur-fed vibrating membrane bioreactor for efficient mainstream autotrophic nitrogen removal.