Optimizing Land Use for Carbon Neutrality: Integrating Photovoltaic Development in Lingbao, Henan Province

Abstract

This study aims to examine the impact of land use variations on carbon emissions by incorporating the development of photovoltaics as a scenario. To meet this end, we investigate the carbon emissions fluctuations resulting from different development scenarios: natural development, low-carbon strategies, and widespread adoption of photovoltaic technology. We identify important influencing factors related to these changes and utilize multi-objective optimization and the PLUS model to simulate land use patterns in Lingbao City projected for 2035, with a focus on achieving carbon neutrality. Through multiple scenarios, we analyze differences in carbon emissions, economic benefits, ecological impacts, and land use allocations. Our findings demonstrate that the photovoltaic scenario leads to a substantial 3500-ton reduction in carbon emissions and boosts overall benefits by RMB 85 million compared to the low-carbon scenario. This highlights the significant role of photovoltaic systems inefficient land utilization, meeting carbon emission targets, and generating economic gains. This research explores the relationship between land use alterations and carbon emissions, aiming to achieve ambitious carbon reduction objectives by integrating photovoltaic applications across diverse land types. It provides fresh perspectives for examining urban land utilization and strategies to reduce carbon emissions.

Spatiotemporal Effects and Optimization Strategies of Land-Use Carbon Emissions at the County Scale: A Case Study of Shaanxi Province, China

“…The second step involved scrutinizing the spatiotemporal dynamics of carbon emissions from land use. A model for estimating land-use carbon emissions was formulated by referencing pertinent research [48] while ensuring the precision and availability of actual data. Specifically, direct carbon emission coefficients were utilized to quantify emissions from forest, grassland, cultivated land, shrubland, wetland, water, and bareland.…”

Spatial Optimization of Land Use Allocation Based on the Trade-off of Carbon Mitigation and Economic Benefits: A Study in Tianshan North Slope Urban Agglomeration

“…In the existing research on the relationship between carbon emission and land use, the literature is often based on the energy perspective, with carbon emission efficiency and carbon neutrality as one-dimensional objectives, and economic benefits are only regarded as constraints [25][26][27][28]. Secondly, divided by the methodological purpose of the research in this field, scholars have already used the main tools such as the multi-objective programming model (MOP), gray linear programming (GM (1, 1)), system dynamics, etc.…”