493 papers
Using the Weather Research and Forecasting model under a pseudo-global warming framework, this study projects that climate change will increase total precipitation in California's Sierra Nevada while shifting it inland and converting snowfall to rainfall, including at higher elevations, thereby threatening the future viability of ski resorts.
This study utilizes the SWAT model to demonstrate that significant land-use changes and climate variability have substantially increased runoff in the Hasdeo River catchment, with future projections under RCP scenarios indicating intensified seasonal streamflow and heightened flood risks.
This study analyzes panel data from 14 Asia-Pacific countries (2000–2019) using an ARDL model and causality tests to reveal that international tourism significantly exacerbates environmental degradation by increasing energy consumption and CO2 emissions while accelerating deforestation, thereby highlighting the ineffectiveness of current green tourism policies and the urgent need for renewable energy adoption and eco-friendly initiatives.
This study demonstrates that combining VNIR-SWIR spectroscopy with multivariate statistical techniques using satellite data (Sentinel-2, PRISMA, and EnMAP) and laboratory spectra effectively maps key physicochemical properties of soils and reservoir sediments in Brazil's semiarid region, thereby supporting sediment reuse strategies for agricultural management.
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.