沙漠与绿洲气象2026，Vol.20Issue(1)：51-58,8.DOI:10.12057/j.issn.2097-6801.2408.22007
大兴安岭地区人工增雨生态效应遥感评估
Evaluation of Ecological Effect of Artificial Precipitation Enhancement in Daxinganling Range Based on Remote Sensing
摘要
Abstract
To accurately evaluate the restoration benefits of artificial precipitation enhancement on forest vegetation ecological quality in the Daxinganling Range,this study calculated the Vegetation Ecological Quality Index by integrating net primary productivity—derived from a light use efficiency model using EOS/MODIS monthly NDVI data—with vegetation coverage.This index was constructed to assess the ecological effects of artificial weather operations for forest restoration since 2012.The results showed that:(1)From 2000 to 2022,the ecological quality of forest vegetation during the growing season exhibited an overall improving trend.The proportion of areas classified as"Good"or"Medium"increased significantly.(2)Since the implementation of ecological restoration-oriented precipitation enhancement operations in 2012,the average Vegetation Ecological Quality Index in high,medium,and low frequency operation areas was 7.9%,5.5%,and 4.9%higher,respectively,than the average during 2000-2011.Remote sensing-based evaluation confirms that artificial precipitation enhancement operations have a significant positive effect on forest vegetation restoration and ecological improvement in the Daxinganling Range,providing valuable guidance for future weather modification initiatives and ecological conservation efforts.关键词
森林/遥感/人工增雨/生态效应/大兴安岭地区Key words
forest/remote sensing/artificial precipitation enhancement/ecological effect/Daxinganling Range area分类
资源环境引用本文复制引用
公衍铎,刘星光,吴霞,王承伟,韩基良,邓文佳,潘雪..大兴安岭地区人工增雨生态效应遥感评估[J].沙漠与绿洲气象,2026,20(1):51-58,8.基金项目
国家重点研发计划项目(2018YFC1507305) （2018YFC1507305）
中国气象局创新发展专项(CXFZ2023J011) （CXFZ2023J011）
黑龙江省自然科学基金联合引导项目LH2022D021 （）
