Abstract
Recurring cyanobacterial blooms have seriously hindered the sustainable development of cities. In this study, the variation trend of cyanobacterial blooms was analyzed by taking Lake Chaohu in China as the study area, and the Normalized Difference Vegetation Index (NDVI) derived from Landsat observations combined with the development index of surrounding cities from 2009 to 2019 was used to quantitatively analyze the response of cyanobacterial blooms to urban development and climate change. The results showed that the NDVI of the Northwest Lake region was significantly higher than that of other regions. Summer and autumn were the main seasons for the outbreak of cyanobacterial blooms. The NDVI of Lake Chaohu and Baohe Lake region showed a significant correlation with the gross domestic product (GDP) growth rate of Hefei city (HF), the districts and counties around the lake (DCL), Baohe District (BH), and the population (P). As the economic regions gradually focused on BH rather than on HF and DCL, there was an increasing trend correlation between the NDVI of Baohe Lake region and the GDP growth rate. However, the elimination of GDP in BH did not affect the consistency relationship between the economic growth of other regions and the NDVI of Lake Chaohu on a large scale. In addition, the results of relative importance analysis indicated that the GDP growth rate of BH and the area of Hefei except DCL (HF-DCL) accounted for important contribution to the [Formula: see text] of the regression. This study has momentous reference value for understanding the coupling relationship between urban development and lake environment.
Highlights
With the acceleration in the development process of industrial and agricultural modernization and urbanization, human activities have intensified the eutrophication of lakes in surrounding cities, leading to the frequent occurrence of cyanobacterial blooms (Deng et al, 2016; Zhang et al, 2018)
Interannual variation in the Normalized Difference Vegetation Index (NDVI) showed an upward trend from southeast to northwest, and the outbreak degree of cyanobacterial blooms in 2009–2014 was more serious than that in 2015–2019, mainly because of the rapid development of the Binhu New District and the discharge of domestic pollutants, which resulted in the high incidence of cyanobacterial blooms in the Northwest Lake region
We used NDVI values derived from Landsat remote sensing data to extract information on cyanobacterial blooms in Lake Chaohu and analyzed the variation trend of NDVI values of cyanobacterial blooms from 2009 to 2019 and their dependence on socioeconomic and meteorological factors
Summary
With the acceleration in the development process of industrial and agricultural modernization and urbanization, human activities have intensified the eutrophication of lakes in surrounding cities, leading to the frequent occurrence of cyanobacterial blooms (Deng et al, 2016; Zhang et al, 2018). Frequent cyanobacterial blooms worsen the sensory properties of water bodies and damage the overall balance of the lake ecosystem and have a serious impact on human health, residential life, and economic development (Shi et al, 2017; Zhou et al, 2008). According to the environmental consensus, there is a strong link between the frequent occurrence of cyanobacterial blooms and the economic process, population growth, and industrial and agricultural production of surrounding cities (Deng et al, 2016; Paerl et al, 2014). Studying the response of cyanobacterial blooms to urban development and climate change can advance the research paradigm of cyanobacteria influencing factors, effectively predict the growth trend of cyanobacterial bloom, optimize the spatial development pattern between cities and lakes, and provide an important decision-making basis for the sustainable development of urban planning and industrial layout
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