2455 papers
This study integrates multi-source data to establish a detailed sequence stratigraphic framework and sedimentary system model for the Tertiary Qaidam Basin, proposing that tectonic uplift and fault evolution control lake dynamics and ultimately identifying optimal hydrocarbon exploration zones around the Shizigou–Mangya and Yiliping depocenters.
This study presents a statistically validated, physically interpretable framework for flood susceptibility mapping in Nepal's Triyuga River Watershed, utilizing spatial cross-validation and SHAP-derived environmental thresholds to demonstrate that a cumulative indicator of five critical hydro-geomorphic factors significantly enhances predictive accuracy and provides a transparent decision-support tool for risk management.
This study identifies a critical disconnect between biophysical research and land-use planning in addressing wetland salinization, demonstrating through bibliometric analysis and a case study of the Indian Sundarbans that surface water expansion is driven by marine and infrastructure factors rather than rainfall, thereby arguing that effective wetland adaptation requires an integrated managed-transition framework combining hydrological management with strategic zoning.
This study demonstrates that in urban Atlantic Forest fragments, environmental filtering primarily drives tree species richness while land-use legacies from past management practices significantly shape abundance-weighted diversity, underscoring the necessity of multidimensional approaches for effective biodiversity conservation and restoration.
By leveraging deep learning analysis of a decade of remote sensing imagery across 507 off-grid communities, this study reveals that socio-spatial contagion significantly accelerates residential PV adoption through a dynamic process where initial range expansion transitions into spatial consolidation as the technology matures.
This study demonstrates that a sequential Fenton reaction followed by biodegradation significantly enhances the removal of decabromodiphenyl ether (BDE-209) from contaminated soil slurries compared to biodegradation alone, achieving a total removal of 97.51% through optimized chemical oxidation and subsequent microbial degradation involving specific bacterial communities.
This study evaluates physicochemical and macroinvertebrate-based indicators to diagnose urban impacts on large river wetlands, identifying specific metrics like EQRmacro, IMRP, and family densities that effectively distinguish between reference and urbanized sites across seasonal water levels.
This study utilizes over two decades of satellite data and national household surveys to demonstrate that drought exposure, particularly agricultural drought, significantly increases school dropout rates among children in India, with females and older children facing the highest risks due to financial hardships and increased labor demands.
This study of ten native tree species in Delhi reveals that while foliar particulate accumulation varies significantly by season and site, species like *Ficus benghalensis* demonstrate high pollution capture alongside physiological resilience, suggesting that urban forestry decisions should integrate particulate load data with biochemical and structural leaf traits rather than relying on single screening criteria.
This study utilizes GIS, Remote Sensing, and AHP techniques to map groundwater potential zones in Kishoreganj District, revealing a critical inverse relationship where the most intensive agricultural areas coincide with the lowest groundwater potential, thereby highlighting urgent needs for sustainable water management strategies.