南水北调中线工程水源区NDVI时空模式及影响因素研究  

Spatiotemporal patterns of NDVI and influencing factors in the water source region of the Middle Route of the South-to-North Water Diversion Project

作　　者：王丽美 姜永涛 鲁春阳 陈联君 张志敏 WANG Li-mei;JIANG Yong-tao;LU Chun-yang;CHEN Lian-jun;ZHANG Zhi-min(School of Surveying and Urban Spatial Information,Henan University of Urban Construction,Pingdingshan 467036,China)

机构地区：[1]河南城建学院测绘与城市空间信息学院,平顶山467036

出　　处：《河南城建学院学报》2025年第1期91-97,共7页Journal of Henan University of Urban Construction

基　　金：河南省科技攻关项目(242102321123,242102320345);河南省高等学校重点科研项目(24B420002,25A420006);河南城建学院高层次人才引进启动项目(K-Q2024012)。

摘　　要：了解植被变化的趋势及成因对制定水源区生态政策至关重要。利用Sen斜率、二元线性回归等统计方法,分析2000—2022年水源区归一化差值植被指数(NDVI)的时空变化特征,评估NDVI的主要影响因子,并探讨植被变化的驱动因素。研究结果表明:(1)水源区表现出较高的植被覆盖率,约95.2%区域的NDVI均值大于0.7;NDVI分布具有明显的垂直分异特征,表现为随海拔增加NDVI均值逐渐增加。(2)2000—2022年水源区NDVI增加趋势显著,整体增长率为0.0033;约76.99%区域的植被覆盖增加,主要集中在中低海拔地区,高海拔地区植被较为稳定。(3)水源区LST与NDVI整体呈负相关,LST回归系数与NDVI变化趋势在空间分布上具有一致性;PRE与NDVI呈显著正相关,但相关系数较小。在高海拔高植被覆盖区域,气象因素和地形因素对植被变化的解释度较高,在中低海拔植被变化显著的区域,土地利用对植被变化的影响更加显著。Understanding vegetation change trends and their driving factors is crucial for formulating effective ecological policies and practices in the water source region of the Middle Route of the South-to-North Water Diversion Project.This study applies statistical methods,including Sen′s slope estimator and bivariate linear regression,to analyze the spatiotemporal dynamics of the normalized difference vegetation index(NDVI)in the water source region from 2000 to 2022.It also assesses the key factors influencing NDVI and explores the underlying drivers of vegetation change.The main findings are as follows:(1)The water source region exhibits high vegetation coverage,with approximately 95.2%of the area having an average NDVI greater than 0.7.NDVI distribution shows significant vertical differentiation,with average NDVI values increasing with elevation.(2)Between 2000 and 2022,the NDVI in the water source region demonstrated a notable upward trend,with an overall growth rate of 0.0033.Approximately 76.99%of the region experienced an increase in vegetation cover,predominantly in low-to mid-elevation areas,while vegetation in high-altitude zones remained relatively stable.(3)NDVI and LST exhibit negative correlation,with a clear spatial relationship between LST regression coefficients and NDVI trends.PRE shows a positive correlation with NDVI changes but explains a smaller proportion of the variation.In high-altitude regions with dense vegetation,meteorological and topographic factors play a dominant role in driving vegetation change.In contrast,in low-to mid-altitude areas with more pronounced vegetation changes,human land use and management practices exert a greater influence.

关 键 词：南水北调中线工程水源区 植被变化 NDVI 驱动因素 统计分析 

分 类 号：Q948[生物学—植物学] TV68[水利工程—水利水电工程]