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.

doi: 10.16186/j.cnki.1673-9787.2023050015

Received: 2023/05/10

Revised: 2024/04/08

Published: 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