📄 earth science

Understanding built-up land supply-demand coordination in China: A local and tele-coupling perspective

This study utilizes EE-MRIO, LTCCD, and HistGradientBoosting models to analyze China's built-up land supply–demand dynamics from 2012 to 2020, revealing a shift toward tele-coupled supply, an improving but spatially uneven coordination degree, and the critical role of multi-mechanism interactions in guiding future land governance toward stock optimization and interregional equity.

Xingzhi Li, Shengfu Yang, Yinqi Li, Peng Zhang, Xingyue Mao, Rongrong Luo, Yan Zheng, Lilin Zou, Shougeng Hu2026-10-19
📄 earth science

Machine Learning-Based Spatial Mapping, Source Apportionment and Health Risk Prediction of Heavy Metal Contamination in Zanjan Province, Iran

This study utilizes machine learning models and multivariate statistical analysis to map heavy metal contamination sources in Zanjan Province, Iran, revealing that Gradient Boosting and Support Vector Regression effectively predict health risks while highlighting that children face significantly higher non-carcinogenic and carcinogenic risks from cadmium, copper, and nickel exposure compared to adults.

Hossein Ali Maleki, Fatemeh Rajaei, Munna Kumar, Yogesh Kumar Vishwakarma, R. S. Singh2026-10-19
📄 earth science

Sinking particle fluxes and nitrogen loss in the eastern tropical North Pacific oxygen deficient zone measured using incubating sediment traps

This study utilizes in situ sediment trap experiments in the eastern tropical North Pacific oxygen deficient zone to reveal an inverted particle flux driven by local cyanobacteria and migrating zooplankton, demonstrating that sinking particles are the dominant source of nitrogen loss and providing the first direct measurements of in situ N2 production rates that align with previous nitrogen deficit estimates.

Megan Duffy, Clara Fuchsman, Hilary Palevsky, Jacquelyn Neibauer, Wendi Ruef, Gabrielle Rocap, Allan Devol, Richard Keil2026-10-19
📄 earth science

Indoor Air Quality and Thermal Environment Across Three Leather Footwear Facilities in Agra India

This 27-month study of three leather footwear facilities in Agra, India, reveals that indoor air quality and thermal conditions vary significantly by facility scale and ventilation, with the smallest cottage facility exhibiting substantially higher levels of particulate matter, gases, and CO2 compared to the organized facility, while seasonal factors primarily influenced particulate matter and thermal variables rather than gas-phase pollutants.

Mohd Arif, Rajendra Yadav, Sujoy Kumar Dey, Shailendra Singh2026-10-19
📄 earth science

Estimating Evapotranspiration Using the SEBAL Model and Remote Sensing: Spatiotemporal Dynamics in Quara District, Northwest Ethiopia

This study utilizes the SEBAL model with Landsat-8 remote sensing data to quantify the spatiotemporal dynamics of evapotranspiration in Quara District, Northwest Ethiopia, demonstrating the effectiveness of satellite-based energy balance approaches for water resource management in data-scarce, semi-arid regions.

Mulatu Ayalew, Balew Yeneneh, Muktar Asmamaw2026-10-19
📄 earth science

Baseline radiological assessment of soils in an active limestone mining environment in Ibese southwestern Nigeria

This study establishes a baseline radiological assessment of surface soils in the Ibese limestone mining area of southwestern Nigeria, revealing that while ⁴⁰K levels exceed global averages, all measured radionuclides and associated hazard indices remain below international safety limits, indicating negligible radiological risk to workers and residents.

Kayode Abayomi Onabiyi, Oluwaseyi Jegede, Olusegun Sowole2026-10-19
📄 earth science

Integrated debris-flow susceptibility assessment along the Karakoram highway using statistical, multi- criteria, and explainable machine-learning models

This study evaluates debris-flow susceptibility along the Karakoram Highway by comparing multi-criteria decision-making, statistical, and machine learning models using a 104-site inventory, finding that Random Forest achieved the highest accuracy and revealing that topography and precipitation are the primary controlling factors for hazard mitigation in the China-Pakistan Economic Corridor.

Niaz Muhammad, Shibiao Bai, Aref Alshameri, Aftab Ahmad Khan, Nisar Ali Shah, Aminur Rahman, Muhammad Tahir Amin, Nayab (…)2026-10-19