Long-Term Impacts of 250 Wind Farms on Surface Temperature and Vegetation in China: A Remote Sensing Analysis DOI Creative Commons

Xiaohui Han,

Lu Chen, Jiao Wang

и другие.

Remote Sensing, Год журнала: 2024, Номер 17(1), С. 10 - 10

Опубликована: Дек. 24, 2024

Wind energy is widely considered a clean and renewable resource, yet the environmental impacts of wind farm (WFs) installations, particularly on local climate ecosystems, remain underexplored large scale. This study presents comprehensive assessment long-term effects 250 WFs across China land surface temperature (LST) vegetation using remote sensing data. By comparing inside outside LST peak normalized difference index (NDVI) trends before after five years construction, we identified key changes. Results indicated that significantly increased nighttime by 0.20 °C decreased daytime 0.11 °C, with pronounced seasonal variability during daytime. A total 75.20% negatively impacted vegetation, no discernible seasonality in this effect. Geographical factors such as latitude, longitude, elevation showed weak correlations these impacts. Our findings provide valuable insights into consequences power development contribute to more informed planning for sustainable generation adaptation strategies.

Язык: Английский

Mechanisms underlying the impacts of cropland wind farms on local carbon and water fluxes DOI Creative Commons
Dongliang Dang, Xiaobing Li,

Xin Lyu

и другие.

Environmental Research Letters, Год журнала: 2025, Номер 20(5), С. 054039 - 054039

Опубликована: Апрель 22, 2025

Abstract In recent years, the rapid expansion of wind power industry has increased awareness its ecological impacts. A thorough understanding these impacts is essential for scientifically planning farms (WFs) in future. While previous studies have evaluated influences WFs on vegetation and climate indicators, analyses underlying mechanisms remain limited. Here, we focused 169 cropland eastern China to investigate this prevalent type WF. Specifically, developed an analytical framework that first environmental factors. Ridge regression was then applied identify differences variables inside outside affect gross primary productivity (GPP) evapotranspiration (ET). Finally, structural equation modeling used delineate pathways by which influence GPP ET. The results show reduce daytime land surface temperature 0.186 °C, significantly increase soil moisture (0.003 m 3 −3 ), decrease vapor pressure deficit 0.095 hPa. These changes subsequently contributed a significant rise (25.181 gC −2 ) ET (3.785 mm). By elucidating complex from pathway perspective, study reveals interactions among factors influenced local scale effects WFs, providing deeper their valuable insights future research.

Язык: Английский

Процитировано

1
Impact pathways of wind farms on grassland carbon and water cycles DOI

Ning Su,

Xiaobing Li,

Xin Lyu

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 388, С. 126036 - 126036

Опубликована: Май 30, 2025

Язык: Английский

Процитировано

0
Long-Term Impacts of 250 Wind Farms on Surface Temperature and Vegetation in China: A Remote Sensing Analysis DOI Creative Commons

Xiaohui Han,

Lu Chen, Jiao Wang

и другие.

Remote Sensing, Год журнала: 2024, Номер 17(1), С. 10 - 10

Опубликована: Дек. 24, 2024

Wind energy is widely considered a clean and renewable resource, yet the environmental impacts of wind farm (WFs) installations, particularly on local climate ecosystems, remain underexplored large scale. This study presents comprehensive assessment long-term effects 250 WFs across China land surface temperature (LST) vegetation using remote sensing data. By comparing inside outside LST peak normalized difference index (NDVI) trends before after five years construction, we identified key changes. Results indicated that significantly increased nighttime by 0.20 °C decreased daytime 0.11 °C, with pronounced seasonal variability during daytime. A total 75.20% negatively impacted vegetation, no discernible seasonality in this effect. Geographical factors such as latitude, longitude, elevation showed weak correlations these impacts. Our findings provide valuable insights into consequences power development contribute to more informed planning for sustainable generation adaptation strategies.

Язык: Английский

Процитировано

0