📄 Category

earth_science

2385 papers

📄 earth science

Asymmetrical structuralist analysis of institutional coordination and ecological integration in localising urban climate governance across Pune and Curitiba

This paper employs an asymmetrical structuralist analysis to demonstrate how Pune's fragmented institutional coordination leads to severe ecological degradation, whereas Curitiba's durable, integrated planning model successfully localizes SDGs 11 and 13 through effective green-blue infrastructure and cross-cutting governance.

Vivek Singh, Gaurav Sushant2026-09-28
📄 earth science

Multidimensional Landslide Vulnerability and Risk Assessment Using Principal Component Analysis in Lumbini Province, Nepal

This study presents an integrated ward-level risk assessment for Lumbini Province, Nepal, by combining a Weight of Evidence-based landslide susceptibility model with Principal Component Analysis-derived multidimensional vulnerability indices to demonstrate that while physiography drives susceptibility, socio-economic and institutional factors are critical determinants of actual risk, enabling targeted disaster reduction strategies.

Niroj Timalsina, Motilal Ghimire, Pradeep Paudyal, Smaran Dahal, Badri Budathoki, Bishnu Adhikari2026-09-28
📄 earth science

A scenario-based framework for characterising subsurface uncertainties in shallow mine thermal flow systems

This paper presents a scenario-based modelling framework using Glasgow Geoenergy Observatory data to demonstrate that the extent of hydraulically connected mine voids, rather than total stored heat, is the dominant control on the long-term performance and thermal lifetime of shallow mine thermal flow systems, highlighting the critical need to account for subsurface architectural uncertainties in project risk assessments.

Adetomiwa Aderemi, Elli Maria Charalampidou, Vasily Demyanov, Denis Voskov2026-09-28
📄 earth science

Physics-Informed Machine Learning for Climate-Sensitive Agricultural Pesticide Exposure Modeling and Water-Quality Validation

This study develops and validates a physics-informed machine learning model that successfully predicts agricultural pesticide exposure in California using application and decay data, demonstrating strong performance for specific chemicals and revealing that population-weighted exposure could double by mid-century under warming scenarios, while transparently reporting limitations in generalizing to unseen chemicals.

Pardeep Bhardwaj, Bhanwar Gupta, Sanjeev Rana2026-09-28
📄 earth science

Intensifying phosphorus limitation accelerates the global decline of the CO₂ fertilization effect

This study demonstrates that intensifying phosphorus limitation, rather than water stress, is a primary driver of the global decline in the CO₂ fertilization effect, challenging current Earth system models that often overlook dynamic phosphorus cycling and consequently overestimate future carbon sink potential.

Jing Peng, Zhuo Zhang, Chengjin Chu, Wenjie Dong, Li Dan, Yaping Chen2026-09-28
📄 earth science

Gaussian process reconstruction and seasonal change in tidal non-linearity in a monsoon-influenced estuary

This study analyzes over seven years of water-level data from the monsoon-influenced Bang Pakong estuary to characterize its flood-dominant tidal distortion and seasonal variability in shallow-water constituents, while demonstrating that a Gaussian process reconstruction effectively handles data gaps to enhance tidal cycle detection without altering harmonic amplitudes.

Pattharaporn Thongnim2026-09-28
📄 earth science

The future fate of groundwater-dependent wetlands globally driven by groundwater dynamics and land cover change

This study projects that global groundwater-dependent wetlands will decline by mid-century under all climate and land-use scenarios, with the magnitude and primary drivers of loss (groundwater dynamics versus land conversion) varying significantly across different socioeconomic pathways.

Nicole Gyakowah Otoo, Edwin H. Sutanudjaja, Michelle van Vliet, Aafke Schipper, Marc Bierkens2026-09-28