1371 papers
This paper employs a mixed-methods comparative case study of two Canadian cities to map the non-linear, multidimensional pathways through which urban nature-based climate solutions are amplified over time, proposing an expanded typology that includes "enriching" to better capture the diversity and quality of their co-benefits.
This paper presents a neuro-symbolic dashboard developed within the Tech4You project that integrates LSTM-based prediction with logic-driven interactive visualization to enable real-time, climate-resilient water quality monitoring and decision support, as demonstrated through a case study in Southern Italy.
This study combines regression and cluster analyses of 34 European cities to reveal that while socio-economic and spatial factors like GDP and built-up area significantly influence green space allocation, distinct urban typologies exist that highlight a critical trade-off between social accessibility to public spaces and total green coverage, offering nuanced insights for context-sensitive urban planning.
This study employs a Bayesian framework and high-resolution archaeological markers from the Tyrrhenian coast to isolate regional isostatic adjustment from local vertical land motion, yielding a refined Holocene sea-level reconstruction that significantly improves the calibration of future sea-level projections beyond current IPCC standards.
This study employs life cycle assessment to demonstrate that while the HEFA process integrated with co-generation offers superior near-term environmental performance for waste oil-to-jet fuel production, its carbon mitigation benefits diminish with grid decarbonization and the use of wind-powered electrolytic hydrogen introduces significant human toxicity risks due to wind equipment manufacturing.
This study introduces a standardized Regulatory Coding Framework and Harmonization Index to systematically benchmark industrial particulate matter emission regulations across the EU, US, China, and Uzbekistan, revealing significant regulatory divergences beyond numerical limits and providing a robust, reproducible tool for evidence-based policy modernization and international comparison.
Using the MaxEnt model, this study predicts that the invasive ambrosia beetle *Xylosandrus crassiusculus* will experience a slight expansion in its highly suitable habitat by 2080 under climate change scenarios, driven primarily by precipitation and temperature factors, thereby highlighting the need for enhanced monitoring and management strategies.
Using longitudinal data from India, this study reveals that higher rainfall anomalies negatively impact multiple dimensions of adolescent wellbeing—including subjective life satisfaction, self-efficacy, self-esteem, and emotional distress—primarily through mechanisms of food insecurity and child health, without significant buffering from major social welfare programs.
This study reconstructs the early Holocene paleoenvironment of the Khor Abdullah region in southern Iraq by analyzing four faunal groups (Foraminifera, Ostracoda, Mollusca, and Bryozoa) in subbottom cores, revealing a transition from freshwater conditions to a marine transgression in a marshy, turbid setting followed by regression.
This study introduces a Multi-Task Residual Network (MTRNet) framework to analyze and project the Water-Energy-Food (WEF) Nexus across 300+ Chinese cities, revealing that sustainable development pathways foster synergy while high-carbon scenarios risk divergence, thereby advancing the field from static description to mechanism-aware forecasting.