2353 papers
This study reveals that groundwater in Azzan City, Yemen, suffers from severe multi-component contamination driven by petroleum activities and geogenic processes, evidenced by elevated toxic metals, dominant petrogenic PAHs, and PCBs that pose significant non-carcinogenic and carcinogenic health risks to local populations.
This study demonstrates that the mobility of per- and polyfluoroalkyl substances (PFAS) in soil–groundwater systems is primarily governed by molecular structure, soil organic matter content, and groundwater geochemistry, with adsorption decreasing in deeper soils and in the presence of dissolved ions, thereby providing a screening-level framework for evaluating PFAS leaching risks.
This study demonstrates that perfluorooctanoic acid (PFOA) released from thawing permafrost significantly suppresses methane emissions by directly inhibiting methanogenic microbes and enriching methanotrophs, thereby reshaping microbial communities and altering Arctic carbon cycle feedbacks.
This study reveals that projected increases in extreme ocean wave heights across major mid-latitude regions often diverge from trends in mean wave conditions, underscoring the necessity of dedicated extreme-value assessments to accurately evaluate future coastal hazards.
This study quantifies the 2024 e-waste generation in Gazipur City, Bangladesh, revealing that nearly half of the 6,245 tonnes produced is managed by the informal sector, and recommends integrating informal recyclers into regulated systems under Extended Producer Responsibility to mitigate environmental risks and advance sustainable urban resource management.
This study assesses the 2024 E-waste generation and management landscape in Gazipur City, Bangladesh, revealing that informal recycling practices pose significant environmental and health risks due to inadequate infrastructure and weak policy implementation, while proposing a framework for sustainable management through Extended Producer Responsibility and circular economy strategies.
This paper presents a multi-objective spatial optimization framework for Indonesia's community forests that leverages high-resolution data to strategically allocate land, revealing that targeted placement can double the combined restoration, conservation, and poverty alleviation benefits compared to random allocation while addressing regional disparities.
This study proposes an integrated GIS and statistical modelling framework, utilizing Multi-Criteria Decision Analysis to generate a Surface Risk Index that effectively zonation open-cast mining areas based on key environmental and social factors, thereby enabling sustainable mine planning and safety management.
This quasi-experimental study analyzing Bogotá's Car-Free Days from 2016 to 2025 reveals a statistically significant reduction in PM₁₀ concentrations alongside a suggestive but uncertain decline in PM₂.₅, underscoring the importance of sustained sustainable mobility measures for improving urban air quality.
This study utilizes 16 years of meteorological and satellite data from four Iraqi cities to demonstrate that a multiple linear regression model effectively estimates Total Precipitable Water by leveraging its significant correlations with PM2.5, CAPE, IVT, and cloud top temperature, thereby offering a promising tool for extreme weather forecasting and air quality management.