1482 papers
This study presents an attribution framework demonstrating that climate change-driven crop yield reductions in rural Burkina Faso have already measurably increased child mortality and farmer out-migration, underscoring the urgent need for ambitious adaptation policies in the Sahel.
This study utilizes Remote Sensing and GIS to analyze the spatio-temporal dynamics of Land Surface Temperature, rainfall, and vegetation in Tamil Nadu between 2015 and 2020, revealing moderate negative correlations between temperature and rainfall and highlighting the effectiveness of geospatial technologies for sustainable environmental management.
This study demonstrates that active restoration of an offshore European flat oyster reef in the German Bight successfully initiated ecosystem recovery within five years, evidenced by steady oyster population growth and significant increases in benthic species richness and abundance, thereby validating its potential for marine protected area management and compensatory measures.
This study demonstrates the efficacy of high-resolution ground magnetic data processing, including Reduction to the Equator, 3D Euler Deconvolution, and Source Parameter Imaging, in delineating shallow, structurally controlled gold mineralization targets within the Itagunmodi area of the Ilesha Schist Belt, Nigeria.
This study analyzes stakeholder perspectives on urban water sustainability in rapidly growing Parramatta, Sydney, revealing that while diverse groups recognize broad sustainability goals, current management is hindered by fragmented governance and infrastructure constraints, necessitating an integrated, place-based approach aligned with global sustainability targets.
This study reveals that accelerating Greenland ice sheet melting drives hemispheric atmospheric circulation shifts that exacerbate Euro-Mediterranean heatwaves, marine heatwaves, and destructive convective storms, a cascading mechanism currently missed by climate models due to their inability to accurately simulate North Atlantic freshening, suggesting future risks are being significantly underestimated.
This study utilizes a combination of OLS, Getis-Ord, and MGWR models to analyze Senegal's malaria incidence from 2000 to 2020, revealing a significant overall decline driven by increased ITN coverage while highlighting persistent southern hotspots and spatially varying climatic and environmental determinants that necessitate geographically targeted control strategies.
The authors developed ILS-Japan-1km, a high-resolution (1 km) integrated land surface model coupling MATSIRO and CaMa-Flood to simulate terrestrial physical processes over Japan for assessing climate change impacts and informing adaptation strategies.
This study employs an integrated modeling approach to demonstrate that while China's urban building floor area will continue to grow through 2060, future thermal energy demand will vary significantly across its 336 cities due to diverse socioeconomic and climate drivers, necessitating tailored policies that leverage compact urban development and energy efficiency to mitigate the substantial shifts caused by global warming.
This paper evaluates five regression-based machine learning models using historical data from Nepal's Sikta Weather Station to identify XGBoost as the most accurate predictor for forecasting heavy rainfall and drought, thereby supporting improved agricultural planning and water resource management in rural areas.