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ZHANG C L , MA J Y, LIAN G M, et al. Spatio-temporal patterns and correlation analysis of AQI and NDVI in the middle and lower reaches of the Yellow River and Haihe River Basin [J]. Journal of Henan Polytechnic University (Natural Science) , 2025, 44(4): 142-150.

黄河中下游地区和海河流域AQI与NDVI时空格局及相关分析

张成丽1,2, 马嘉玉1, 廉高敏1, 赵贺赢1, 刘梦洁1, 闫帅腾1, 马青霞1,3,4,5, 苏艳霞1,2,3,4,5

1.河南大学 地理科学与工程学部，河南 郑州  450046；2.海口经济学院 中德应用技术学院，海南 海口  570203；3.黄河中下游数字地理技术教育部重点实验室，河南 开封 475000；4.河南省环境与健康工程技术研究中心，河南 开封  475000；5.河南省土壤重金属污染控制与修复工程研究中心，河南 开封  475000

摘要: 目的 为探究大气污染物与植被生长状况之间的相互影响， 方法 基于美国国家航空航天局（national aeronautics and space adminidtration， NASA）提供的归一化植被指数（normalized difference vegetation index， NDVI）与空气质量在线监测分析平台提供的空气质量指数（air quality index， AQI），采用Kriging插值、一元线性回归和相关性分析等方法，对黄河中下游地区的河南省、山东省、山西省、陕西省，海河流域的河北省和重要城市（北京市和天津市）的AQI与NDVI时空分布特征进行解释，并分析其相关性。 结果 结果表明：（1）2014—2016年，AQI年均值呈显著下降趋势，每年AQI数值冬季最高，春秋相对较低，夏季最低，且呈现明显的区域差异性，出现中间高两侧低的“中心-外围”结构；2017年后，夏季AQI反而高于春秋季的。（2）2014—2020年，NDVI波动上升，上升斜率为0.004 1/a。总体上，NDVI上升的面积占研究区总面积的93.76%，且极显著和显著上升趋势的面积分别占16.32%和12.09%。 结论 黄河中下游地区和海河流域AQI与NDVI时空格局及相关分析结果可以为气候变化对环境的影响研究提供理论基础。 

关键词:黄河流域;海河流域;空气污染指数;归一化植被指数;时空变化

doi: 10.16186/j.cnki.1673-9787.2023050015

基金项目:国家自然科学基金资助项目（42105071）；河南省科技攻关计划项目（212102310418）

收稿日期:2023/05/10

修回日期:2024/04/08

出版日期:2025/06/19

Spatio-temporal patterns and correlation analysis of AQI and NDVI in the middle and lower reaches of the Yellow River and Haihe River Basin

Zhang Chengli1,2, Ma Jiayu1, Lian Gaomin1, Zhao Heying1, Liu Mengjie1, Yan Shuaiteng1, Ma Qingxia1,3,4,5, Su Yanxia1,2,3,4,5

1.Faculty of Geographical Science and Engineering， Henan University， Zhengzhou  450046， Henan， China；2.Sino-German College of Applied Technology， Haikou University of Economics， Haikou  570203， Hainan， China；3.Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions， Ministry of Education， Kaifeng  475000， Henan， China；4.Engineering Technology Research Center of Environment and Health， Kaifeng  475000， Henan， China；5.Henan Engineering Research Center for Control & Remediation of Soil Heavy Metal Pollution， Kaifeng  475000， Henan， China

Abstract: Objectives To study the interaction between air pollutants and vegetation growth， Methods Kriging interpolation， Univariate linear regression and correlation analysis were employed to explain and analyze the correlation of AQI and NDVI in Five provinces and two Cities located in the middle and lower reaches of the Yellow River （Henan Province， Shandong Province， Shanxi Province and Shaanxi Province ） and Haihe River Basin （Hebei Province， Beijing City and Tianjin City） based on the normalized vegetation index （NDVI） provided by NASA and the online air quality index （AQI） provided by air quality monitoring and analysis platform. Results The results showed that： （1） From 2014 to 2016， the annual average AQI， showed a significant downward trend， with  highest value in winter， relatively low in spring and autumn， the lowest in summer. It aso showed obvious regional differences， with a “center-periphery”  structure （higher in central areas and  lower in surrounding regions）. However， from 2017， the AQI value in summer is higher than that in spring and autumn. （2） From 2014 to 2020， NDVI values showed an upward trend， with a slope of 0.004 1/a. Overall， the area where NDVI values increased accounted for 93.76% of the total study region， and the areas with and the extremely significant and significant upward trends were 16.32% and 12.09%， respectively. Conclusions The spatio-temporal patterns and correlation analysis results of AQI and NDVI in the middle and lower reaches of the Yellow River and the Haihe River Basin can provide a theoretical basis for the study of the impact of climate change on the environment. 

Key words: Yellow River Basin; Haihe River Basin; AQI; NDVI; temporal and spatial changes