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Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction

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Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction. / Li Guoqing; Zhang Chunhua; Zhang Li et al.
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2016. p. 1304-1306 (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Li Guoqing, Zhang Chunhua, Zhang Li & Zhang Meng 2016, Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction. in 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, pp. 1304-1306. https://doi.org/10.1109/IGARSS.2016.7729331

APA

Li Guoqing, Zhang Chunhua, Zhang Li, & Zhang Meng (2016). Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 1304-1306). (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)). IEEE. https://doi.org/10.1109/IGARSS.2016.7729331

Vancouver

Li Guoqing, Zhang Chunhua, Zhang Li, Zhang Meng. Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE. 2016. p. 1304-1306. (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2016.7729331

Author

Li Guoqing ; Zhang Chunhua ; Zhang Li et al. / Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction. 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2016. pp. 1304-1306 (IEEE International Geoscience and Remote Sensing Symposium (IGARSS)).

Bibtex

@inproceedings{ece4e1cf00114118b816180da7b00378,
title = "Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction",
abstract = "Utilizing MOD13Q1-NDVI data from 2000 to 2014, vegetation change in a 50 km buffer area around the Huitengliang wind farm, Inner Mongolia, was analyzed. Combining meteorological data in this analysis, the impact of wind direction on vegetation growth was discussed. Compared with the construction phase (2000-2008), the operation phase (2008-2014) has a more obvious impact on the growth of vegetation. However, the results showed that vegetation impact was uneven: (1) a zone 30-40 km from the center of the wind farm, on the windward side, is likely to be the area of greatest vegetation impact from the wind farm; (2) the proportion of vegetation restoration in the windward/leeward areas, especially in the windward area, is much higher than in the buffer or farm areas; (3) within the wind farm area, the wind farm is not conducive to vegetation growth, while it is helpful to vegetation growth in windward/leeward area.",
keywords = "Wind farm, vegetation change, Huitengliang, grassland",
author = "{Li Guoqing} and {Zhang Chunhua} and {Zhang Li} and {Zhang Meng}",
year = "2016",
month = jul,
day = "15",
doi = "10.1109/IGARSS.2016.7729331",
language = "English",
isbn = "9781509033331",
series = "IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",
pages = "1304--1306",
booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)",

}

RIS

TY - GEN

T1 - Wind farm effect on grassland vegetation due to its influence on the range, intensity and variation of wind direction

AU - Li Guoqing, null

AU - Zhang Chunhua,

AU - Zhang Li,

AU - Zhang Meng,

PY - 2016/7/15

Y1 - 2016/7/15

N2 - Utilizing MOD13Q1-NDVI data from 2000 to 2014, vegetation change in a 50 km buffer area around the Huitengliang wind farm, Inner Mongolia, was analyzed. Combining meteorological data in this analysis, the impact of wind direction on vegetation growth was discussed. Compared with the construction phase (2000-2008), the operation phase (2008-2014) has a more obvious impact on the growth of vegetation. However, the results showed that vegetation impact was uneven: (1) a zone 30-40 km from the center of the wind farm, on the windward side, is likely to be the area of greatest vegetation impact from the wind farm; (2) the proportion of vegetation restoration in the windward/leeward areas, especially in the windward area, is much higher than in the buffer or farm areas; (3) within the wind farm area, the wind farm is not conducive to vegetation growth, while it is helpful to vegetation growth in windward/leeward area.

AB - Utilizing MOD13Q1-NDVI data from 2000 to 2014, vegetation change in a 50 km buffer area around the Huitengliang wind farm, Inner Mongolia, was analyzed. Combining meteorological data in this analysis, the impact of wind direction on vegetation growth was discussed. Compared with the construction phase (2000-2008), the operation phase (2008-2014) has a more obvious impact on the growth of vegetation. However, the results showed that vegetation impact was uneven: (1) a zone 30-40 km from the center of the wind farm, on the windward side, is likely to be the area of greatest vegetation impact from the wind farm; (2) the proportion of vegetation restoration in the windward/leeward areas, especially in the windward area, is much higher than in the buffer or farm areas; (3) within the wind farm area, the wind farm is not conducive to vegetation growth, while it is helpful to vegetation growth in windward/leeward area.

KW - Wind farm

KW - vegetation change

KW - Huitengliang

KW - grassland

U2 - 10.1109/IGARSS.2016.7729331

DO - 10.1109/IGARSS.2016.7729331

M3 - Conference contribution/Paper

SN - 9781509033331

T3 - IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 1304

EP - 1306

BT - 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE

ER -