GX & Decarbonization Research

Yingwen Guo, Miao He, Weiyin Zhang

This study examines the impact of geographic proximity to cancer villages on firm valuation using Chinese listed firms from 2004 to 2022. A one-standard-deviation increase in proximity reduces Tobin's Q by about 1.7%, driven by higher compl…

Qian Wang, Siyu Chen

Using a panel of Chinese A-share firms (2007-2024), this study constructs a firm-level climate risk measure via annual report text analysis and shows that climate risk significantly raises the cost of debt. It identifies two transmission ch…

Taufiq Andre Setiyono, G. Solovida, Dessy Noor Farida

This study examines the impact of green accounting, carbon emission disclosure, and Islamic Social Reporting (ISR) on firm value (Tobin's Q) for companies listed on the Jakarta Islamic Index 70 (JII70). Using 2023-2024 data and regression a…

Nutchanat Buasri, P. Littidej, Benjamabhorn Pumhirunroj +2

This study analyzes population dynamics in flood-prone Thailand, finding that despite repeated flooding, some areas show late population growth (maladaptation). Using Random Forest and SHAP, flood frequency is the dominant predictor, with t…

Shashikala T K, S. R, J. Chandrashekhara

This paper proposes an edge-AI framework for real-time forest fire detection using YOLOv8 and IoT sensors. It enables low-latency, accurate detection with sensor fusion to reduce false alarms, offering scalable deployment for climate adapta…

Gaoming Wei, Ziyan Wang, Li Ma +4

This study experimentally and theoretically reveals the multiscale evolution of coal microstructure and permeability during liquid CO2-enhanced coalbed methane recovery (LCO2-ECBM). LCO2 impact and CO2 hydrate acid erosion cause mineral dis…

L. Lakshmanan, S. Nagarajan

This study proposes a semi-automated workflow for multi-level 3D building reconstruction by integrating airborne LiDAR point clouds with building footprints extracted from NAIP imagery using Mask R-CNN. The footprint extraction achieved a m…

S. Amoo, Ali Attajer, Ismahen Zaid +1

This study develops an optimization framework for sustainable AAC production using discrete-event simulation and machine-learning surrogates. It generates 116,640 production scenarios and trains ML models to predict CO2e emissions, cost, an…

Rakesh Patel, Himanshoo Verma, Jitendra Namdeo +1

This study proposes a sustainable design for RC beams by replacing low-stress concrete zones with bricks to reduce cement consumption and carbon emissions. Using the method of initial functions (MIFs), it analyzes stress and displacement in…

Weiwei Yao, Qi Wang, Shun Yin

This paper examines design-based carbon reduction strategies for green infrastructure, specifically cycling stations, under the dual-carbon background. It focuses on the potential for carbon emission reduction through infrastructure design,…

Risjunardi Damanik, Khadijah, Hanifah Sriamelia

This study evaluates concrete with a 1:1 blend of Chlorella and Spirulina as supplementary cementitious material. At 5% replacement, compressive strength drops only 6.4% while chloride resistance improves 12.3% and CO2 sequestration reaches…

Prasanna Svsndl, Sanjana Alugubelli, Yashwanth Pamu

This study conducts a life cycle assessment of a concrete bridge construction in Hyderabad using Open LCA and Ecoinvent. Cement is the most environmentally burdensome material, contributing a carbon footprint of about 10,105,721 m²a, and th…

M. Fąfara, Julia Mytnik, Ł. Łukaszewski

This study integrates BIM and LCA to assess environmental impacts of revitalizing a post-industrial site in Poland. It quantifies emissions from demolition and new material use versus reuse, showing significant reductions through circular s…

Yigit Yardimci, Emre Kuruçay, Ilker Erdogmus

This study compares deep Top-Down and shallow Cut-and-Cover metro stations on Istanbul's M7 line, using BIM-LCA and a Spatiotemporal Disruption Index (SDI) to assess embodied environmental impacts and surface occupation trade-offs. The deep…

Chinenye Elizabeth Onumadu, Adeel Patrick

Cement production accounts for ~8% of global CO2 emissions. This study recovers calcium, magnesium, and silica from wastewater to create a cement additive. At 10% replacement, compressive strength nearly matches control, and embodied CO2 is…

Ruolan Zhang, Wei Shen, Dejian Wei +2

This paper proposes a dynamic network framework integrating AIS and MRV data to assess shipping traffic resilience and green operations. Using real AIS and full-year DGX data, it computes functionality curves and Resilience-Green Index valu…

K. Sonawane, P. Saini, U. Biradar +3

This paper proposes an AI-driven integrated digital framework for CCUS to enhance containment assurance and carbon credit credibility. It integrates multi-modal data (DAS/DTS, microseismic, satellite) and uses anomaly detection, Bayesian in…

A. Leber, N. Urazova, N. Danilenko

This paper examines blockchain-based corporate reforestation projects to enhance efficiency, transparency, and investment attractiveness. It analyzes cases like Web3Eco and a pilot in Krasnoyarsk, and proposes a platform architecture and bu…

А.V. Zabrodin, M. A. Kostin

This paper explores the use of Hyperledger Fabric blockchain for storing and auditing lifecycle data of rolling stock. It designs and implements a decentralized architecture with Raft consensus, MSP access control, and private data collecti…

Angel Benjamin Fernandez Canchos, José Antonio Reyes Rodríguez, Ricardo Giancarlo Gamarra Condori +4

This study provides the first primary-data environmental characterization of a real system converting organic waste from a high-altitude mining canteen in northern Peru into biofertilizers via lactic fermentation. Combining ISO-compliant LC…