光伏系统
环境科学
全球变暖
气候变化
中国
草原
植被(病理学)
遥感
繁荣
可持续发展
分布(数学)
可再生能源
卫星
归一化差异植被指数
光伏
生态学
环境资源管理
太阳能
空间分布
全球变化
气象学
仰角(弹道)
地理信息系统
卫星图像
温室气体
生态指标
太阳能
生态系统
土地利用
全球变暖的影响
干旱
初级生产
持续性
作者
Liwen Yang,Luguang Jiang,Ye Liu
出处
期刊:Big earth data
[Taylor & Francis]
日期:2025-11-06
卷期号:10 (1): 378-399
被引量:4
标识
DOI:10.1080/20964471.2025.2583587
摘要
The global proliferation of photovoltaic power plants (PV) has greatly contributed to alleviating the energy crisis and addressing global warming caused by carbon emissions. Accurately assessing the ecological impacts of PV power plants is crucial for balancing ecological protection and the sustainable development of the PV industry. This study used the Google Earth Engine (GEE) platform to construct an object-oriented random forest model, obtaining annual spatial distribution data for PV in China from 2000 to 2023, and quantifying the ecological effects of PV installations at the regional level. The results revealed a phased expansion of PV power plants since 2000, including a germination phase, start-up phase, expansion phase, and boom phase. As of 2023, the total PV area in China was 7716.13 km2, with the northwest region having the largest installed PV capacity, accounting for 35.76% of the total PV area in China. Most PV installations were located in grassland, cropland, and barren land, which together accounted for more than 85% of the total. Compared to cropland, where about half of the samples improved, PV installations on barren land and grassland showed around 90% and 85% improvement respectively, with smaller NDVI declines and stronger recovery. Furthermore, large-scale PV construction enhanced ecological functions such as shading, cooling, wind-proofing, and sand fixation, thus contributing more effectively to promoting local vegetation growth. This study provides data support and a scientific basis for optimizing the distribution of PV power plants and promoting the development of “PV+” compound projects.
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