International Journal of Global Warming (10 papers in press)

Regular Issues

• A GPC-Based Framework for Urban Carbon Footprint: a Community-Scale Case Study from Turkey  
  by Özlem Yurtsever, Eralp Ozil 
  Abstract: Assessing Greenhouse Gas (GHG) emissions for local governments is important for sustainable development. This study develops a GHG inventory for a mid-sized Turkish county, using standardised principles and Turkey-specific emission factors based on the Global Protocol for Community-Scale GHG Inventories (GPC). The research focuses on residential stationary energy consumption and examines neighbourhood-level energy usage patterns. The study presents mitigation strategies, highlighting that improved insulation in residential buildings can reduce energy use by 10%. It contributes to the literature by offering insights into the spatial distribution of urban GHG emissions and the effectiveness of localised mitigation strategies.
  Keywords: Greenhouse Gas Emissions; Urban Carbon Footprint; GPC; Sustainable Urban Development; Neighborhood-Based Approach; Sustainable Development; Sustainability.
  DOI: 10.1504/IJGW.2025.10072304
   
  
• Does the Coordinated Development of Two-Way FDI Reduce CO2 Emissions by Technological Progress? Evidence from China  
  by Ruirui Yang, Haoran Mao, Sijia Gao, Na Liu 
  Abstract: This study applies a spatial Durbin model and a panel threshold model to assess the impact of coordinated development of two-way FDI (TWFDI) on CO2 emissions, using panel data from 30 Chinese provinces spanning 2003 to 2023. The results indicate that TWFDI significantly reduces CO2 emissions in both local and neighboring regions, particularly in light-emission provinces and after environmental policy revision. Mechanism analysis suggests that the TWFDI mitigates CO2 emissions by promoting technological progress. Threshold effects further reveal that its impact varies with FDI synergy and technological levels. These findings provide valuable insights for policymakers striving for sustainable development.
  Keywords: coordinated development of two-way FDI; technological progress; CO2 emissions; spatial spillover effect; mediation effect; threshold effect.
  DOI: 10.1504/IJGW.2025.10072827
   
  
• Exploration of Low-Carbon and Environmentally Friendly Green Industries based on Deep Learning Algorithms  
  by Yunhao Zhang, Zishuo Zhang, Bohan Dun, Xingjian Yang, Wei He, Zan Yang, Xingjian Wang 
  Abstract: Amid global green and low-carbon industry development, traditional environmental management struggles with inefficiency and high cost. This study identifies key driving factors using deep learning and policy simulation, verifying three hypotheses: (1) a "high carbon price + subsidy" policy achieves a 24.5% emission cut, with coordinated policy design crucial for guiding enterprise transformation; (2) deep learning methods exceed 85% accuracy, serving as enabling tools for green industry growth; (3) the Yangtze River Delta’s comprehensive index (0.85) outperforms other regions, highlighting path dependence and technological lock-in in regional green development.
  Keywords: Low-carbon and Environment-friendly; Green Industry; Deep Learning; Harmonious Development.
  DOI: 10.1504/IJGW.2025.10072889
   
  
• Legal Comparative Study on Coordinated Development of Energy and Environmental Protection in Resource-Based Cities  
  by Weixian Chen, Yilin Zhang 
  Abstract: In order to ensure the stable development of resource-based cities and avoid excessive problems during the development process of resource-based cities. This article briefly analyses the main content of the coordinated development of energy and environmental protection in resource-based cities. Through legal comparison and slack-based measure (SBM) superstitious calculation, the backend operation and maintenance operations have been completed. Based on the big data front-end framework, implement mobile terminal operation mode monitoring. The efficiency of this method is about 32% higher than that of traditional methods.
  Keywords: Resource-based city; Energy; Environmental protection; Comparative law.
  DOI: 10.1504/IJGW.2026.10073257
   
  
• Forestry Carbon Storage Monitoring and Carbon Neutrality Assessment Based on Remote Sensing and Big Data  
  by Xiaolong Fan 
  Abstract: Traditional forestry carbon storage monitoring has the problems of insufficient spatial coverage and neglect of carbon absorption dynamics. This paper integrates remote sensing technology, machine learning, and time series analysis and proposes a dynamic monitoring method: extracting forest structure parameters through high-resolution satellite and drone images, combining ground data to build a multivariate linear regression model, establish the relationship between biomass and carbon storage, and optimise the carbon conversion coefficient. The prediction accuracy is improved by integrating multi-source data through SVM. Finally, the carbon absorption potential is simulated in combination with the RCPs climate scenario, and carbon emissions from human activities are quantified. Experiments show that the prediction accuracy is 96.5% (MSE = 0.025), effectively quantifying the effect of the carbon neutrality strategy.
  Keywords: Remote Sensing Technology; Carbon Storage Monitoring; Machine Learning; Time Series Analysis; Carbon Absorption Simulation.
  DOI: 10.1504/IJGW.2025.10073415
   
  
• Image Processing Techniques for Monitoring Environmental Changes due to Global Warming  
  by Palanikumar S, Shrina Patel, Nagalakshmi T.J., N. Ashok Kumar 
  Abstract: This project used Google Earth Engine (GEE) to map and track how climate change changes public water sources. It shows a picture of the world's surface water in V1.4 size. We used the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Temperature-vegetation measure (TVX). After any of these weather events, the water might be different. Another is the amount of water and rain lost and given off. From 2000 to 2021, the study was done. The LUB has less open water because the Earth's surface is warmer. It was found that the rising and falling water levels were connected. What AT and ETa do to the LUB water is very important. They should all be -0.65 or -0.68. There wasn't a strong link between where the lake or river was and how much rain it got if the rho number was +0.25.
  Keywords: Support vector machine (SVM); Support Vector Regression (SVR); Land Surface Temperature (LST); Mann–Kendall (MK); NDVI-LST.
  DOI: 10.1504/IJGW.2026.10073448
   
  
• Coordinated and Sustainable Development of Energy Resources based on Low-Carbon Economy  
  by Rijie Cong, Xin Zhang 
  Abstract: This paper explores the role of a low-carbon economy (LCE) in sustainable development (SD), using multiple regression analysis. Carbon emissions under the low-carbon economy model have declined since 2014. The output of low-carbon industries will reach RMB 23 trillion in 2030, accounting for 16% of GDP. The number of employees in low-carbon industries will exceed that of coal and natural gas industries in 2026 and will exceed 63 million in 2030. The study concludes that a low-carbon economy will become a global industrial trend, making significant contributions to environmental and economic goals.
  Keywords: Sustainable Development; Low-Carbon Economy; Energy Consumption; Ecological Environment; Resource Allocation.
  DOI: 10.1504/IJGW.2025.10073457
   
  
• Impact of Green Development on the Achievement of China's Common Prosperity Goal and Its Spatial Characteristics  
  by Song Wang, Chaoquan Wang, Yuyao Cao, Xionghe Qin 
  Abstract: This study aims to explore the impact and spatial characteristics of green development on common prosperity, providing recommendations for government and relevant institutions. Based on uneven regional development and new economic geography theories, this study uses mediation and spatial econometric models to conclude that: 1) Green development promotes common prosperity, achieved by consumption, prosperity of capital and commodity markets. 2) Green development promotes convergence of certain regions common prosperity. 3) Green development promotes common prosperity in both local and neighbouring areas. Finally, this study proposes a series of green policies and measures to achieve the goal of common prosperity.
  Keywords: Common prosperity; Green development; Impact mechanism; Spatial effects; China.
  DOI: 10.1504/IJGW.2026.10073852
   
  
• Detection of Trends in Precipitation and Temperature in Sub-Arid regions of Algeria using the Mann-Kendall Statistical Test statistical test  
  by Fatma Slimani, Tarek Daifallah, Omar Ramzi Ziouch, Maria Giovanna Tanda, Valeria Todaro, Khaldia Si Tayeb, Naouel Dali, Horiya Bouali, Aicha Khemili 
  Abstract: This paper aims to detect trends in annual and seasonal mean temperature and rainfall to highlight the impact of climate change in the sub-arid area of Algeria. Here, observed precipitation and temperature data collected from five weather stations over the period of 19902020 in the Constantine highlands watershed (Northeastern Algeria) were analysed, employing the non-parametric Mann-Kendall statistical test for this analysis. The results indicate an upward trend, particularly during summer, which has been statistically significant for all stations except Setif and Banta, which have shown a negative trend for seasonal periods. Conversely, the annual and summer rainfall exhibited a negative trend at 5%. This confirms a clear warming trend in the region, especially in summer, which could have significant impacts on water resources, agriculture, and ecosystem stability. Understanding these trends is vital for developing effective adaptation and mitigation strategies in response to the changing climate in this vulnerable area.
  Keywords: Algeria; Mann-Kendall test; Precipitation; Statistically; Temperature; Trends.
  DOI: 10.1504/IJGW.2025.10073858
   
  
• Enhancing SWAT Model Performance for Climate Change Impact Studies in Watersheds with Missing Flow Data  
  by Abdulkadir Baycan, Gamze Tuncer Evcil, Osman Sönmez 
  Abstract: Hydrological models play a crucial role in assessing the impacts of climate change on water resources. This study evaluates the performance of single- and multi-site calibration approaches for the SWAT model in the Mudurnu River Basin, located in the Black Sea Region of Turkiye. The results indicate that both single- and multi-site calibration approaches yielded high model accuracy without significant differences in performance, providing 0.87, 0.87 R2, 0.87, 0.87 NSE, 3.6, 3.7 PBIAS, and 0.36, 0.36 RSR for validation, respectively. These findings suggest that single-site calibration at the basin outlet may be a practical alternative to multi-site calibration in small basins.
  Keywords: Climate change; SWAT model; hydrological calibration; missing flow data; water resource management.
  DOI: 10.1504/IJGW.2026.10074046