1482 papers
This study analyzes global PM2.5 trends and health outcomes to demonstrate that while emission reductions are necessary, sustained public health benefits require integrating health assessments with air quality management and adopting adaptive, equity-oriented policies, as evidenced by divergent results in Europe, China, and developing nations.
This study analyzes 49 rainfall-induced disasters in Japan from 1931 to 2025 to reveal that woody debris recruitment sources have shifted from a mix of natural wood, disaster waste, and anthropogenic wood to a predominance of natural wood since the 1960s, demonstrating that debris dynamics are driven by evolving human–natural systems rather than fluvial processes alone.
This study introduces a computational framework leveraging large-scale social media data and optimized BERT models to analyze public sentiment on environmental noise pollution, revealing that road traffic and construction are primary irritants causing widespread negative sentiment and sleep disruption, thereby offering a real-time, cost-effective tool for urban noise mitigation and policy design.
This mini literature review synthesizes evidence from twenty-one studies to argue that achieving sustainable clean water supply requires integrating formal engineering solutions with locally legitimate institutional arrangements, recognizing informal water systems as adaptive responses to state incapacity and emphasizing that the success of community-managed systems relies on organizational structure and participation rather than technology alone.
This mini literature review synthesizes twenty-one studies to argue that achieving sustainable water security requires the deliberate integration of advanced technical diagnostic tools, the recognition of informal institutional arrangements, and the strengthening of local government capacity, proposing a unified framework to bridge these previously separate scholarly strands.
By analyzing dynamic rupture simulations and natural earthquakes, this study demonstrates that self-arresting earthquakes require event-specific k-values rather than universal constants, leading to a physics-informed deep learning framework that significantly reduces stress drop estimation biases and reveals rupture mode diversity as the fundamental control on spectral characteristics.
This paper proposes and validates a reproducible Analytic Hierarchy Process (AHP) framework that, by integrating site-specific dynamics with multi-criteria decision-making, identifies a hybrid system of gabion and MSE walls as the superior alternative to traditional rigid concrete structures for mitigating debris-flow hazards in Andean-coastal gullies like El Pedregal, Peru.
This study of male park users in Tabriz, Iran, reveals that familiarity with plant species significantly enhances visual preference, with native and semi-native vegetation—particularly flowers—being most favored, thereby underscoring the need to integrate public cognitive recognition into urban landscape design.
This study analyzes 31 years of Landsat data in Chicago to reveal that despite local increases in vegetation and reductions in built-up intensity, rising ambient temperatures driven by broader climate change have intensified urban heat, highlighting persistent spatial disparities and the urgent need for coordinated, multi-scalar mitigation strategies.
This study employs a mixed-methods approach in Alpine regions to develop a validated taxonomy of 20 communication factors, revealing a systemic implementation gap in climate risk preparedness where policy actors perceive institutional performance more favorably than experts and community stakeholders.