📄 Category

earth_science

2485 papers

📄 earth science

Rainfall-Driven Variability of Physicochemical Water Quality Parameters in the Meghna River, Bangladesh: A Preliminary Monthly Assessment Using Correlation, Regression, and Principal Component Analysis

This preliminary study analyzes 2023 monthly data from the Meghna River in Bangladesh to explore rainfall-driven variability in physicochemical water quality parameters, revealing strong correlations between rainfall and specific pollutants like COD while explicitly acknowledging the statistical limitations imposed by a small sample size of six months.

Abu Bakor Siddique Patwary2026-07-30
📄 earth science

Habitat contractions to drive future planktonic foraminifera distribution and diversity change

This study projects that global warming will drive planktonic foraminifera to shift poleward and experience significant abundance declines and diversity losses in low latitudes by 2100, with profound implications for oceanic carbon cycling and marine food webs.

Annabelle Gao, Sonia Chaabane, Gregory Beaugrand, Thibault de Garidel-Thoron, Thomas Chalk, Ralf Schiebel, Julie Meillan (…)2026-07-30
📄 earth science

Morphometric Properties and Land Cover Dynamics of River Shemankar Upper Drainage Basin, Plateau State, Nigeria

This study analyzes the morphometric properties and land cover dynamics of the 6th-order River Shemankar Upper Drainage Basin in Plateau State, Nigeria, revealing significant agricultural expansion and vegetation decline alongside strong correlations between land use changes and basin characteristics, while validating the comparable utility of SRTM and other DEMs for hydrological modeling.

Peter Damulak DAKUNG, Aderemi ADEDIJI, Samson Akintunde OGUNYEMI, Damilola Bolarinwa FAGBOHUN, Samuel Adeyemi SAMSON, Ar (…)2026-07-30
📄 earth science

Spatio-temporal Assessment of PM10 and its Correlation with Meteorological Parameters: A Case Study in Cumilla, Bangladesh

This study analyzes spatiotemporal variations of PM10 in Cumilla, Bangladesh, from January to April 2026, revealing peak concentrations in February that exceed national limits and a strong negative correlation with temperature and rainfall, thereby providing a basis for forecasting pollution peaks and designing seasonal mitigation policies.

Abu Bakor Siddique Patwary2026-07-30
📄 earth science

El Nino Southern Oscillation-Driven Variability in Vegetation Indices and Carbon Fluxes over Rajasthan, India: A Non-parametric District-level Analysis (2000-2024)

This non-parametric district-level analysis of Rajasthan (2000–2024) reveals that El Niño events significantly suppress kharif vegetation and carbon fluxes, particularly in arid regions, while identifying strong positive long-term trends and enabling accurate 2026 forecasts based on ENSO and monsoon rainfall dynamics.

Priyanka Swami2026-07-30
📄 earth science

Analysis of Habitat Factors Influencing Natural Forest Regeneration Status of Tilaghor Eco-park in Bangladesh

This study evaluates the natural regeneration status of Tilaghor Eco-park in Bangladesh by analyzing 100 plots and applying NMDS and GLM models to determine that tree height, tree richness, and seedling metrics are the primary habitat factors significantly influencing seedling richness and abundance, thereby providing evidence-based guidelines for prioritizing indigenous species conservation and area-specific plantation strategies.

Lubaba Noshin, Rabeya Sultana, Kazi Mohammad Masum2026-07-30
📄 earth science

Benchmarking Machine Learning and Seismic-Derived Heat Flow Models to Decipher the Lithospheric Thermal Architecture of the Arabian-Nubian Shield

This study presents a novel benchmarking framework that combines a data-driven Random Forest model and a physics-based Velocity-Temperature conversion to map the thermal architecture of the Arabian-Nubian Shield, revealing that while both methods capture large-scale patterns, the machine learning approach offers superior predictive precision for geothermal resource assessment in complex tectonic settings.

Menna Haggag, Mohamed Sobh, Hosni H. Ghazala2026-07-30
📄 earth science

Wetting-induced carbon allocation shifts amplify drought-induced carbon loss in boreal forest

This study reveals that increased precipitation in Eurasian boreal deciduous forests drives a shift in carbon allocation from leaves to woody tissues, which boosts woody biomass storage but simultaneously heightens the ecosystem's vulnerability to severe carbon loss during subsequent drought events.

Guanpeng Dong, Yujie Dou, Luwei Feng, Xiaoye Tong, Wenmin Zhang, Feng Tian, Qing Tian2026-07-30