2520 papers
By integrating regional energy modeling with biodiversity data, this study demonstrates that Greece can achieve its climate targets without compromising ecological conservation, provided that renewable energy deployment is strategically reallocated to accommodate spatial constraints while addressing regional equity concerns.
This comprehensive review highlights the significant ecological and human health risks posed by construction chemicals, such as superplasticizers, epoxy resins, and heavy metals, which degrade indoor air, soil, and water quality, while advocating for sustainable management strategies including eco-friendly alternatives and regulated application practices to mitigate these environmental impacts.
This study of street dust in Osogbo, Nigeria, reveals that while most toxic elements originate from geogenic sources, anthropogenic activities in commercial and waste areas have caused significant ecological contamination and pose elevated non-carcinogenic and carcinogenic health risks, particularly for children exposed to lead, cadmium, and chromium.
This study reveals that crabs from the Loukkos basin in Morocco exhibit multi-residue pesticide contamination exceeding regulatory limits, posing acceptable non-carcinogenic but potential long-term carcinogenic health risks, particularly for children, thereby highlighting the urgent need for enhanced environmental monitoring and stricter pesticide management.
This paper introduces "rosetta," a Python-based workflow within the Brightway framework that harmonizes Life Cycle Assessment (LCA) data and methods across different software and databases, revealing that discrepancies in software implementation and outdated inventories can cause significant variations in impact results, thereby demonstrating the tool's effectiveness in improving the consistency and comparability of LCA studies.
This study evaluates six GIS-based spatial interpolation methods for estimating precipitation in Moro Local Government Area, Nigeria, under dry and wet climatic extremes, finding that Radial Basis Functions (RBF) outperform other techniques, including kriging, in accurately mapping rainfall distribution in this data-sparse region.
This study demonstrates that integrating bias-corrected CMIP6 climate projections with machine learning models, particularly Random Forest, significantly improves streamflow prediction accuracy in the data-scarce Kulfo River basin, revealing a future trend of rising temperatures and declining annual streamflow with increased hydrological uncertainty under various climate change scenarios.
Using Kenyan data, this paper demonstrates that fetal health risks from climate variability are driven primarily by short-term temperature and rainfall anomalies, nonlinear extremes, and late-pregnancy exposure rather than average conditions, thereby reconciling mixed findings in existing literature.
This paper proposes and validates a cost-effective, simplified method for estimating deer population density in fenced Mediterranean landscapes by utilizing a stable "pellet groups per individual" (Pgi) value to bypass traditional defecation and decay rate calculations, demonstrating that strip transect sampling offers the highest precision-to-cost ratio.
This study constructs a coupled natural-cultural risk assessment framework for the Shandong Section of the Grand Canal National Cultural Park using multi-source data and the H-E-V model, revealing distinct spatial risk patterns and proposing a hierarchical protection strategy to address the superposition of natural and human-induced threats.