大兴安岭地区人工增雨生态效应遥感评估OA
Evaluation of Ecological Effect of Artificial Precipitation Enhancement in Daxinganling Range Based on Remote Sensing
为了大范围精确地评估人工增雨作业对大兴安岭地区森林植被生态质量的恢复效益,基于EOS/MODIS逐月NDVI数据,依据光能利用率模型得到植被净初级生产力,结合植被覆盖度计算植被生态质量指数,评估2012年以来开展的森林生态修复型人工影响天气作业的生态效应.结果表明:(1)2000-2022年生长季,森林植被生态质量状况整体呈改善趋势,评价等级为中等偏好的区域占整体的比例呈显著增加趋势.(2)2012年开展生态修复型人工增雨作业以来,作业的高频区、中频区和低频区的植被生态质量指数平均值分别较2000-2011年平均值偏高7.9%、5.5%和4.9%.通过遥感手段对大兴安岭地区人工增雨作业的生态效应进行评估,对未来该地区人工影响天气作业的实施及生态环境保护具有指导意义.
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.
公衍铎;刘星光;吴霞;王承伟;韩基良;邓文佳;潘雪
黑龙江省气象台,黑龙江 哈尔滨 150030黑龙江省气象科学研究所,黑龙江 哈尔滨 150030黑龙江省生态气象中心/东北卫星气象数据中心/龙凤山区域大气本底站/五营国家气候观象台,黑龙江 哈尔滨 150030黑龙江省气象台,黑龙江 哈尔滨 150030哈尔滨市气象服务中心,黑龙江 哈尔滨 150036黑龙江省人民政府人工降雨办公室,黑龙江 哈尔滨 150030黑龙江省生态气象中心/东北卫星气象数据中心/龙凤山区域大气本底站/五营国家气候观象台,黑龙江 哈尔滨 150030
资源环境
森林遥感人工增雨生态效应大兴安岭地区
forestremote sensingartificial precipitation enhancementecological effectDaxinganling Range area
《沙漠与绿洲气象》 2026 (1)
51-58,8
国家重点研发计划项目(2018YFC1507305)中国气象局创新发展专项(CXFZ2023J011)黑龙江省自然科学基金联合引导项目LH2022D021
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