顾及气候时滞效应的黄河流域NDVI演变归因分析  

Analysis of NDVI evolution in the Yellow River basin due to climate delay effects

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作  者:幸利华 涂平[1,2] 孙阵阵 Xing Lihua;Tu Ping;Sun Zhenzhen(Key Laboratory of Spatial Data Mining and Information Sharing of Education Ministry,Fuzhou 350108,China;Institute of Digital China,Fuzhou University,Fuzhou 350108,China)

机构地区:[1]空间数据挖掘与信息共享教育部重点实验室,福建福州350108 [2]福州大学数字中国研究院(福建),福建福州350108

出  处:《海南大学学报(自然科学版)》2024年第3期290-300,共11页Journal of Hainan University(Natural Science)

基  金:福建省自然科学基金项目(2023J01421)。

摘  要:采用Sen趋势分析和Mann-Kendall显著性检验、重力模型、多元线性回归方程、时滞偏相关、残差分析等地理统计方法,分析了黄河流域归一化植被指数(normalized difference vegetation index,NDVI)时空变化特征及其与气候的响应机制,评估了人类活动对NDVI的影响程度,得出以下结论:研究期内,流域内植被NDVI总体呈上升趋势,重心主要分布在流域东南部,东南部的NDVI增速增量明显大于西北部;流域内大部分地区的植被NDVI在生长季是以气温作为主要驱动因子;NDVI在植被生长季对气温的响应主要滞后约1个月,对降水的响应主要滞后约2个月;人类活动对流域内NDVI的影响程度由东南向西北递减,大部分地区的人类活动对植被NDVI起促进作用.In the report,the Sen trend analysis with Mann-Kendall significance test,gravity model,multiple lin⁃ear regression equation,time delay correlation and residual analysis,were used to analyze the Yellow River ba⁃sin vegetation and the response mechanism to climate and evaluate the influence of human activity on NDVI(Normalized difference vegetation index).The conclusions were obtained that during the study period,the ba⁃sin vegetation NDVI overall rise,the center of gravity is mainly distributed in the southeast of the basin,the growth rate increment of NDVI in the southeast is significantly greater than that in the northwest.The air temper⁃ature NDVI was used as the main driver factor during the growing season in the most areas of the watershed.The response of NDVI to temperature during the growing season was mainly lagged by about 1 month,the response of NDVI to temperature during the growing season was mainly lagged by about 2 months.The influence of human activity on NDVI in the basin decreases from the southeast to the northwest,and the human activity in most of the area promotes vegetation NDVI.

关 键 词:黄河流域 NDVI 趋势分析 重力模型 多元线性回归 时滞偏相关 残差分析 

分 类 号:Q948[生物学—植物学]

 

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