Revealing the ecological impact of low-speed mountain wind power on vegetation and soil erosion in South China: A case study of a typical wind farm in Yunnan

被引:9
|
作者
Ma, Bingran [1 ,2 ]
Yang, Juhua [1 ,3 ]
Chen, Xuehong [4 ]
Zhang, Lixiao [1 ]
Zeng, Weihua [1 ,5 ]
机构
[1] Beijing Normal Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Cont, Beijing 100875, Peoples R China
[2] Chinese Res Inst Environm Sci, Inst Ecol, Beijing 100012, Peoples R China
[3] China Huadian Corp, Strateg Planning Dept, 2 Xuanwumennei St, Beijing 100031, Peoples R China
[4] Beijing Normal Univ, Jointly Sponsored Beijing Normal Univ & Aerosp Inf, Inst Chinese Acad Sci, Fac Geog Sci, Beijing 100875, Peoples R China
[5] Chinese Acad Sci, Northwest Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining 810001, Peoples R China
关键词
Wind power; Low-speed mountain wind farm; NDVI; Vegetation impact; Soil erosion; South China; TEMPORAL PATTERNS; NDVI;
D O I
10.1016/j.jclepro.2023.138020
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Due to the limited local electricity consumption in northeastern, northwestern, and northern China, developers are committed to unlocking wind resource-rich areas in the mountainous regions of southern China, leading to the southward movement of wind power. Construction processes destroy vegetation (especially forests) and may cause subsequent ecological impacts. However, due to the scarcity of cloudless remote sensing images in southern China, the ecosystem impact of low-speed wind farm construction in southern China remains unclear, which is not conducive to decision-making. This study used the flexible spatiotemporal data fusion (FSDAF) model to fuse the normalized difference vegetation index (NDVI) value obtained by Landsat 5 satellite Thematic Mapper (TM)/Landsat 8 satellite Operational Land Imager (OLI) and the NDVI value obtained by Moderateresolution Imaging Spectroradiometer (MODIS) images. Cloudless and high-resolution (30 m) fusion results were used to establish a system framework for evaluating and quantifying the impact of low-speed mountain wind farms on vegetation and soil erosion. The results showed that wind farm construction led to a significant decline in mountain vegetation growth. The impact ranges of wind farm roads were mainly within the 0-30 m buffer zone (the reduction range of NDVI was 0.04-0.22), and the impact ranges of wind turbine foundations were mainly within the 0-60 m buffer zone (the reduction range of NDVI was 0.00-0.26). In addition, the NDVI in regions damaged by mountain wind farm construction was more sensitive to climate change. After vegetation damage, the synergistic effect of factors such as rain and terrain may lead to the doubling of soil erosion (compared to 2010, the increase in soil erosion could reach 1195.96%). In the study area, roads should be scientifically planned to reduce their length, and vegetation restoration and environmental supervision should be strengthened.
引用
收藏
页数:13
相关论文
共 3 条
  • [1] Risk Assessment of Low-Speed Wind Power Projects Based on an Aggregated Cloud Method: A Case in China
    Wu, Yunna
    Ji, Shaoyu
    Wang, Jing
    Song, Zixin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [2] A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China
    Wu, Yunna
    Liao, Mingjuan
    Hu, Mengyao
    Lin, Jiawei
    Zhou, Jianli
    Zhang, Buyuan
    Xu, Chuanbo
    Energy, 2020,
  • [3] A decision framework of low-speed wind farm projects in hilly areas based on DEMATEL-entropy-TODIM method from the sustainability perspective: A case in China
    Wu, Yunna
    Liao, Mingjuan
    Hu, Mengyao
    Lin, Jiawei
    Zhou, Jianli
    Zhang, Buyuan
    Xu, Chuanbo
    ENERGY, 2020, 213