Study on the Influence of Land Use Change on Carbon Emissions Using System Modeling under the Framework of Dual Carbon Goals

Q3 Engineering
Pingli Zhang, Zhengyu Yang, Qianqian Ma, Jingjing Huang, Jia Jia, Hongchao Li, Hongfei Liu
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引用次数: 0

Abstract

At the crucial period of addressing climate change, especially to the carbonization of land use change, it is vital that relevant actions are taken to enable two ambitious dual-carbon goals, namely, ensuring that carbon emissions peak before 2030 and achieving carbon neutrality before 2060. This research investigates the impacts of land use changes on carbon emissions using a novel approach that integrates Light Detection and Ranging (LiDAR) with Geographic Information System (GIS). This approach is innovative due to its high quality three-dimensional representation to quantified exact carbon stock and forest emissions occurring due to specific land-use change. Therefore, through actual LiDAR, this research helps demarcate the pattern emitting different land-use measures, including deforestation, urban programs, agricultural differences, and forest and land changes, over historical change records and verified carbonization formulas. Similar qualitative levels between LiDAR and GIS analysis help determine the varying degrees of carbonization occurring due to enhanced deforestation, urban additions, and agricultural contributions while reporting the possible procedural carbons acquired during reforestation and other measurements. The results helped clarify that the most distinct level of land utilization shows the least level of carbon sent into the air. Therefore, the implication is that strategic land use measures and better working conditions can curb carbon indications. These signals support land-use policy and preparedness goals in a low carbon level. This study creates valuable records for the land utilization and cartograph, created through the power of LiDAR and GIS analysis.
双碳目标框架下利用系统建模研究土地利用变化对碳排放的影响
在应对气候变化,特别是土地利用变化碳化的关键时期,必须采取相关行动,以实现两个宏伟的双碳目标,即确保在 2030 年之前碳排放达到峰值,以及在 2060 年之前实现碳中和。本研究采用光探测与测距(LiDAR)与地理信息系统(GIS)相结合的新方法,调查土地利用变化对碳排放的影响。这种方法的创新之处在于其高质量的三维表现形式,可精确量化特定土地利用变化导致的碳储量和森林排放量。因此,通过实际的激光雷达,该研究有助于根据历史变化记录和经过验证的碳化公式,划定不同土地利用措施的排放模式,包括森林砍伐、城市项目、农业差异以及森林和土地变化。激光雷达和地理信息系统分析之间相似的定性水平有助于确定由于加强森林砍伐、城市增加和农业贡献而出现的不同程度的碳化,同时报告在重新造林和其他测量过程中可能获得的程序性碳。研究结果表明,最独特的土地利用方式所排放到空气中的碳量最少。因此,这意味着战略性的土地利用措施和更好的工作条件可以抑制碳排放。这些信号支持低碳水平下的土地利用政策和准备目标。这项研究通过激光雷达和地理信息系统的分析,为土地利用和制图创造了宝贵的记录。
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来源期刊
EAI Endorsed Transactions on Energy Web
EAI Endorsed Transactions on Energy Web Energy-Energy Engineering and Power Technology
CiteScore
2.60
自引率
0.00%
发文量
14
审稿时长
10 weeks
期刊介绍: With ICT pervading everyday objects and infrastructures, the ‘Future Internet’ is envisioned to undergo a radical transformation from how we know it today (a mere communication highway) into a vast hybrid network seamlessly integrating knowledge, people and machines into techno-social ecosystems whose behaviour transcends the boundaries of today’s engineering science. As the internet of things continues to grow, billions and trillions of data bytes need to be moved, stored and shared. The energy thus consumed and the climate impact of data centers are increasing dramatically, thereby becoming significant contributors to global warming and climate change. As reported recently, the combined electricity consumption of the world’s data centers has already exceeded that of some of the world''s top ten economies. In the ensuing process of integrating traditional and renewable energy, monitoring and managing various energy sources, and processing and transferring technological information through various channels, IT will undoubtedly play an ever-increasing and central role. Several technologies are currently racing to production to meet this challenge, from ‘smart dust’ to hybrid networks capable of controlling the emergence of dependable and reliable green and energy-efficient ecosystems – which we generically term the ‘energy web’ – calling for major paradigm shifts highly disruptive of the ways the energy sector functions today. The EAI Transactions on Energy Web are positioned at the forefront of these efforts and provide a forum for the most forward-looking, state-of-the-art research bringing together the cross section of IT and Energy communities. The journal will publish original works reporting on prominent advances that challenge traditional thinking.
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