📄 Category

earth_science

1371 papers

📄 earth_science

Sea Level Change Assessment along the Egyptian Mediterranean Coast Using Multi-Source Data and Machine Learning Models

This study assesses sea level rise risks along the Egyptian Mediterranean coast by integrating multi-source data (GPS, tide gauges, GRACE, and satellite altimetry) with machine learning models, identifying XGBoost as the most accurate predictor and forecasting a continued rise of 2.8 to 4.09 mm/year through 2050 that threatens coastal cities like Alexandria, Port Said, and El Arish.

Sana Saeed, Soliman Slama, Fawzi H. Zarzoura, Mahmoud El-, Mewafi Shetiwi2026-08-28
📄 earth_science

Spatial accounting of greenhouse gas emissions and removals across global land

This study presents a high-resolution, observation-based global assessment of annual gross greenhouse gas emissions and removals from 2016 to 2024, revealing that while land acts as a net sink of -3.6±4.1 Gt CO2e yr⁻¹, these fluxes are highly concentrated spatially, with half of emissions occurring in just 4.5% of emitting land.

David Gibbs, Melissa Rose, Erin Glen, Philippe Ciais, Matthew Hansen, Tomislav Hengl, Mustafa Isik, Peter Potapov, Angel (…)2026-08-28
📄 earth_science

Energy Intensity, Food Security, and Trade Dependence: Structural Insights from Meat Supply Chains in the Americas

This study utilizes a multi-regional input–output framework to analyze the energy intensity of meat supply chains across the Americas, revealing that trade dependence, logistics performance, and structural institutional conditions are more critical determinants of efficiency than income levels or renewable energy shares, thereby offering new insights for integrating food security and energy policy.

Fumiya Nagashima, Tetsuji Tanaka2026-08-28
📄 earth_science

Social Vulnerability and Compound Heat-Flood Exposure in Houston, Miami, and Norfolk: A Census-Tract-Level Analysis

This study reveals that in Houston, Miami, and Norfolk, compound heat-flood exposure is disproportionately concentrated in socially vulnerable census tracts, with the strongest associations found in Miami and locally concentrated neighborhoods in Houston, indicating that these dual hazards track social inequality in an additive rather than multiplicative manner.

Md Jubier Ahammed, M Shahriar Sonet2026-08-28
📄 earth_science

Comparative formation of disinfection byproducts and human health risk under different chlorinated disinfectant types and water matrices

This study comprehensively evaluates and compares the formation of disinfection byproducts and associated human health risks between conventional and cyanuric acid-stabilized chlorine disinfectants across tap and swimming pool water matrices, revealing that stabilized disinfectants generally yield lower carcinogenic risks while highlighting significant inhalation hazards from volatile compounds and current toxicological data gaps.

Yeonjeong Ha2026-08-28
📄 earth_science

Assessing Urban Heat Stress and Thermal Vulnerability in Colombo Using Remote Sensing and Spatial Statistics for Sustainable Urban Planning

This study utilizes remote sensing and spatial statistics to analyze the 2020 heatwave in Colombo, revealing significant spatial clustering of urban heat stress, land surface temperature, and anthropogenic heat flux in densely built-up areas while highlighting the cooling influence of water bodies to inform sustainable urban planning.

HSR Hettikankanama, SM Dassanayake, TS De Silva, I Mahakalanda2026-08-28
📄 earth_science

Causal Effect Exploration of Landslide Susceptibility in Chongqing Using a T-Learner

This study applies a T-learner to Chongqing's landslide data to estimate the causal effects of environmental factors like evapotranspiration and precipitation on landslide risk, offering an exploratory framework that complements traditional machine learning association analyses while highlighting the need for future temporal and confounding-controlled research.

Yongxiu Zhou, Xiaojuan Zhang, Yuanjun Gong2026-08-28
📄 earth_science

Fault-network topology and coupled controls of overpressure, hydrocarbon expulsion, and polygonal fault intensity on tight-oil accumulation in the Songliao Basin

This study characterizes the T2 polygonal fault network in the Songliao Basin's Sanzhao Sag and establishes a quantitative coupled threshold of overpressure, hydrocarbon expulsion intensity, and fault intensity that effectively predicts favorable tight-oil enrichment zones, revealing that fault intensity rather than connectivity is the primary control on hydrocarbon accumulation.

Yougong Wang, Xiangyu Li, Fangju Chen, Shanchi Chen, Rong Chu, Qi Wang2026-08-28
📄 earth_science

Power, Pollution and Policy: The Environmental and Community Costs of AI Data Centre Expansion

Using Virginia as a case study, this paper argues that the rapid expansion of AI data centers imposes severe environmental and community burdens that are obscured by inadequate efficiency metrics and weak regulatory frameworks, ultimately calling for enhanced transparency and enforceable policies to prevent the disproportionate shifting of costs onto local populations.

Claire Kennedy, Mahmoud Al-Kilani2026-08-28