Impact Of Air Pollution Research Articles

Breathing in pollution, breathing out efficiency: how does air pollution affect labour productivity in China’s service sector?

ABSTRACT This paper examines the impact of air pollution on labour productivity in the service industry in China. Utilizing the Chinese National Tax Survey Database and the contemporaneous air pollution data for 2007–2016, we employ an instrumental variable method and find that the average labour productivity for service firms decreases by 2.11% for every 1ug/m3 increase in PM2.5 concentration. The influence is more pronounced among producer services firms, non-state-owned firms, small-scale firms, and firms located in less environmentally regulated regions, northern regions, central and western regions, and coastal regions. The detrimental effect of air pollution increases as air quality worsens. Additionally, a 1ug/m3 increase in PM2.5 concentration leads to a significant 2.83% increase in overall labour costs, which squeezes out firms’ capital investment and distorts their factor structure. This paper contributes to the literature by providing new evidence on adverse impact of air pollution on labour productivity in the service sector.

Impact of air pollution on coronary artery disease: A qualitative study

Impact of air pollution on coronary artery disease: A qualitative study

The impact of industrial air pollution in areas not specifically designated for industrial areas:

The impact of industrial air pollution in areas not specifically designated for industrial areas:

Effects of major air pollutants on cognitive function in middle-aged and elderly adults: Panel data evidence from China Health and Retirement Longitudinal Study.

Although numerous studies have discussed about the impact of air pollution on cognitive function, a consensus has yet to be reached, necessitating further exploration of their relationship. The aim of this study is to reveal the effects of major air pollutants on cognitive function in Chinese middle-aged and older adults, while considering the lagged effects of pollution. Panel data were constructed by integrating the air pollutants concentration (particulate matter diameter ≤1 µm (μm) (PM1), PM2.5, PM10, nitrogen dioxide (NO2), and ozone (O3)) among 28 provinces in China and the personal characteristics from China Health and Retirement Longitudinal Study participants during the period of 2011-2015. To explore the effects of single pollutants and their interactions on cognitive function, panel linear regression using ordinary least squares method was employed, and first-order lag effects (two-year interval) of air pollution were introduced into the models. Our study revealed that, after adjusting for confounding factors, higher levels of particulate matter (PM1, coefficient (Coef.) = -0.093, P = 0.001; PM2.5, Coef. = -0.051, P = 0.001; PM10, Coef. = -0.030, P = 0.001) and NO2 (Coef. = -0.094, P = 0.006) were associated with lower cognitive function scores among the participants. Moreover, the interaction between the five major pollutants exhibited a negative effect on cognitive function(Coef. = -2.89, P = 0.004). PM1, PM2.5, PM10 have detrimental effects on the cognitive function of middle-aged and elderly adults in China, where increasing particle diameter correlates with a less negative impacts, providing theoretical underpinnings for the formulation of environmental protection policies.

Inhaling Poor Health: The Impact of Air Pollution on Cardiovascular Kidney Metabolic Syndrome.

Air pollution, mostly from fossil fuel sources, is the leading environmental cause of global morbidity and mortality and is intricately linked to climate change. There is emerging evidence indicating that air pollution imposes most of its risk through proximate cardiovascular kidney and metabolic (CKM) etiologies. Indeed, there is compelling evidence linking air pollution to the genesis of insulin resistance, type 2 diabetes, hypertension, and other risk factors. Air pollution frequently coexists with factors such as noise, with levels and risks influenced substantially by additional factors such as social determinants and natural and built environment features. Persistent disparities regarding the impact and new sources of air pollution, such as wildfires attributable to climate change, have renewed the urgency to better understand root sources, characterize their health effects, and disseminate this information for personal protection and policy impacts. In this review, we summarize evidence associating air pollution with cardiovascular health, the impact of air pollution on CKM health, and how interactions with other exposures and personal characteristics may modify these associations. Finally, we discuss new integrated approaches to capture risk from air pollution in the context of an exposomic framework.

Impact of Ambient Air Pollution with PM2.5 on Stroke Occurrence: Data from Kaunas (Lithuania) Stroke Register (2010–2022)

Background: Ambient particulate matter of ≤2.5 μm in diameter (PM2.5) is named as a risk factor for cerebrovascular diseases. This investigation aimed to evaluate the impact of ambient air pollution with PM2.5 on stroke occurrence. Methods: The study was performed in Kaunas, Lithuania, from 2010 to 2022. The daily numbers of ISs, subarachnoid hemorrhages (SAHs), and intracerebral hemorrhages (ICHs) were obtained from the Kaunas Stroke Register. The association between stroke occurrence and PM2.5 exposure was assessed by time- and seasonally stratified Poisson regression. Results: Among middle-aged persons, 3377 had a stroke, of which 2686 (79.5%) had an IS, 469 (13.9%) had an ICH, and 222 (6.6%) had SAH. The relative risk (RR) of SAH was increased by 1.7% with an increase in daily PM2.5 by 1 μg/m3 on the same day and at a lag of 1 day, and by 2.2% with an increase in mean PM2.5 concentration at a lag 0–1 days by 1 μg/m3. The RR of having a SAH was increased by 0.7% with an increase in daily PM2.5 by 1 μg/m3 on the same day. Conclusions: Significant associations between stroke occurrence and air pollution with PM2.5 were found in the SAH and HS patients, and only in middle-aged subjects.

Exposure to household air pollution and childhood multimorbidity risk in Jimma, Ethiopia

BackgroundChildhood multimorbidity, characterized by the simultaneous occurrence of multiple medical conditions in children, is a global concern. Notably, exposure to household air pollution has been linked to various health issues, particularly affecting vulnerable segments of the population residing in poorly ventilated homes. However, evidence regarding the impact of household air pollution on the risk of multimorbidity in low-income settings remains scarce. Therefore, this study aims to investigate the association between household air pollution and childhood multimorbidity in Jimma, Ethiopia.MethodsA comparative cross-sectional study was conducted to collect data from 280 children under the age of five who lived in households using solid fuel (n = 140) and clean fuel (n = 140). The Demographic Health Survey morbidity questionnaire was used to collect information from mothers about common childhood illnesses. Multiple logistic regression analysis was employed to explore the relationship between the use of solid fuel for cooking in households and the likelihood of childhood multimorbidity. In addition, Poisson regression estimation was used to determine if exposure to solid fuel could increase the number of morbidities.ResultsThe overall prevalence of childhood multimorbidity was 34.3% [95% CI: 0.29–0.40]. Among these cases, 23.9% were among children from solid fuel user households, whereas about 10.4% were from clean fuel user households. Adjusted for all possible socioeconomic, demographic, water, sanitation, hygiene, and health care covariates, children living in solid fuel user households had more than three times the odds of childhood multimorbidity compared to children living in clean fuel user households (AOR = 3.14, 95% CI [1.42–6.95], p < 0.001). Moreover, household air pollution from solid fuel use was positively associated with an increased number of individual morbidity conditions, with an adjusted β coefficient of 0.46 (IRR = 1.58, 95% CI [1.17–2.13], p = 0.003).ConclusionSolid fuel use was an independent predictor of childhood morbidity risk. Efficient policies and strategies, such as the integration of environmental regulation policies into the healthcare system aimed at the reduction of harmful air pollutants and their adverse health effects on children, need to be implemented.

The associations between exposure to ambient air pollution and coagulation markers and the potential effects of DNA methylation

Previous studies have illustrated the pivotal role of coagulation biomarkers in the link between air pollution and cardiovascular disease (CVD). However, inconsistencies remain in the conclusions, with limited studies conducted in rural areas of China. We conducted a panel study in rural areas of Henan Province, China. Considering the potential effect modifications of atherosclerotic cardiovascular disease (ASCVD) risks, 104 participants were enrolled, comprising two matched groups: 52 with high ASCVD risks and 52 with low ASCVD risks. DNA methylation at CpG sites and coagulation indices were measured for all participants. Linear mixed-effect regression models were used to evaluate the associations between ambient air pollution, coagulation biomarkers, and DNA methylation. We observed that for every 5-day standard deviation (SD) increment of PM2.5 (11.91μg/m³) and PM10 (13.65μg/m³), fibrinogen increased by 7.70% (95%CI: 2.27, 13.12) and 8.50% (95%CI: 2.46, 14.55), respectively. SO2 (6.95μg/m³) was associated with 40.25% (95%CI: 14.83, 65.67) increase in plasminogen activator inhibitor-1 (PAI-1). Decreased methylation at CpG sites was associated with exposure to air pollution. However, DNA methylation did not mediate the association between ambient air pollution and coagulation. Our study revealed the harmful impact of ambient air pollution on coagulation function but found no significant mediation effects of DNA methylation.

What Are the Likely Air Pollution Impacts of Carbon Capture and Storage?

What Are the Likely Air Pollution Impacts of Carbon Capture and Storage?

THE RELATIONSHIP BETWEEN AIR QUALITY AND FINANCIAL RISK AVERSION: A VIEW OF HETERO‐GENEOUS RESPONSE TO AIR POLLUTION

This paper conducts experiments on a sample of subjects from Chengdu and Wuhan, China, who are mostly unconcerned about air pollution. We provide evidence on the relationship between air quality and financial risk aversion by assessing the plausibility of two channels: affects and cognitive ability. We find that air pollution increases the financial risk aversion of subjects who are concerned about it by altering their emotional responses. However, the cognitive abilities of our subjects are not affected by air pollution, regardless of whether they are concerned about the pollution or not. Meanwhile, we show that reference dependence effect can explain why most subjects in our sample are not highly concerned about air quality. The results of our study stress the importance of beliefs about the impact of air pollution in determining the relationship between air pollution and human behavior.

Confidence intervals of difference and ratio between two means of delta-Birnbaum-Saunders distributions

During the dry season, the northern region of Thailand consistently grapples with compromised air quality, notably an excessive level of particulate matter with a diameter of less than 2.5 microns (PM2.5), which poses implications for public health. Wind speed emerges as the primary factor that diminishes the concentration of PM2.5, making the evaluation of wind speed changes crucial in understanding and potentially mitigating the impact of air pollution on public health in the region. The wind speed data contain zero and positive values. This can be estimated through the confidence intervals of the difference and ratio between two means of delta-Birnbaum-Saunders distributions using various methods, including the generalized confidence interval (GCI), bootstrap confidence interval (BCI), and generalized fiducial confidence interval (GFCI). These methods rely on variance stabilizing transformations (VST), the Wilson and Hannig methods. According to the simulation, for small sample sizes, the GCI based on the VST and Hannig was the most effective method in terms of coverage probabilities and average lengths. For medium sample sizes, it was found that the performance of GFCI based on the VST method was superior to other methods. Additionally, when confronted with a large sample size, the BCI based on the VST method becomes relevant and will be introduced. To demonstrate the efficacy of our proposed methods, we applied them to wind speed data gathered from Chiang Mai Airport station in Thailand from January to February in both 2022 and 2023.

Forecasting mortality and DALYs from air pollution in SAARC nations

This study investigates the projected impact of air pollution on mortality and Disability-Adjusted Life Years (DALYs) across SAARC countries. Utilizing Time Series and Machine Learning methodologies such as Autoregressive Integrated Moving Average, Exponential Smoothing, and Neural Network, the research aims to accurately forecast the mortality and DALYs attributed to air pollution from 2020 to 2030. Statistical analyses reveal a consistent upward trend in deaths and DALYs during the forecasting period, primarily driven by Ambient Particulate Matter Pollution (APM) and Ambient Ozone Pollution (AOP). Comparing the predictive accuracy of the models, Neural Network outperformed other methods, as indicated by Root Mean Square Error (RMSE) values. Specifically, the study finds that deaths and DALYs due to Ambient Particulate Matter pollution are least prevalent in the Maldives, while India and Pakistan exhibit the highest rates, and deaths and DALYs due to Ambient Ozone pollution are lowest in the Maldives and highest in Bangladesh and Pakistan. Moreover, deaths and DALYs attributed to Household Air Pollution (HAP) are lowest in Pakistan and highest in Nepal. These findings underscore the urgent need for air pollution control measures and informed policymaking in SAARC countries to mitigate the escalating health burden associated with air pollution.

Site Suitability and Air Pollution Impacts of Composting Infrastructure for California's Organic Waste Diversion Law.

California's organic waste diversion law, SB 1383, mandates a 75% reduction in organics disposal by 2025 to reduce landfill methane emissions. Composting will likely be the primary alternative to landfilling, and 75-100 new large-scale composting facilities must be sited in the state to meet its diversion goal. We developed a strategy for evaluating site suitability for commercial composting by incorporating land-use, economic, and environmental justice criteria. In our Baseline scenario, we identified 899 candidate sites, and nearly all are within a cost-effective hauling distance of cropland and rangelands for compost application. About half of sites, mostly in rural areas, are not within a cost-effective collection distance of enough municipal organics to supply an average-sized facility. Conversely, sites near cities have greater access to organics but cause greater health damages from ammonia and volatile organic compounds emitted during the composting process. The additional required composting capacity corresponds to $266-355 million in annual damages from air pollution. However, this excludes avoided emissions from landfilling, and damages could be reduced by 56% if aerated static piles are used instead of windrows. Siting a higher number of smaller decentralized facilities could also help equally distribute air pollution to avoid concentrating burdens in certain communities.

Air Pollution Reduces the Individuals’ Life Satisfaction Through Health Impairment

Abstract Background The impact of air pollution on individuals’ happiness and life satisfaction (LS), and its relationship to other factors became the focus of recent research. Though, the underlying mechanism of how air pollution impacts LS remains unclear. In this study, we examined the direct and indirect effect of air pollution on individuals’ LS through health mediation. Methods We used longitudinal individual-level data from “Understanding-Society: the UK Household-Longitudinal Study” on 59,492 individuals with 347,377 repeated responses across 11 years (2009-2019) that was linked to yearly concentrations of NO2, SO2, and particulate-matter (PM10, PM2.5) pollution. Generalized structural equation models with multilevel ordered-logistic regression were used to examine the direct effect of air pollution on LS and the indirect effect from health impairment. Results Higher concentrations of NO2 (coefficient = 0.009, 95%CI = 0.007,0.012, p < 0.001), SO2 (coefficient = 0.025, 95%CI = 0.017,0.034, p < 0.001), PM10 (coefficient = 0.019, 95%CI = 0.013, 0.025, p < 0.001), and PM2.5 (coefficient = 0.025, 95%CI = 0.017,0.033, p < 0.001) pollutants were associated with poorer health, while poorer health was associated with reduced LS (coefficient = -0.605, 95%CI = -0.614,-0.595, p < 0.001). Mediation path analysis showed that air pollution impacted individuals’ LS directly and indirectly. The percent of total effect mediated through health was 44.03% for NO2, 73.95% for SO2, 49.88% for PM10, and 45.42% for PM2.5 and the ratio of indirect to direct effect was 0.79 for NO2, 2.84 for SO2, 0.99 for PM10, and 0.83 for PM2.5. Conclusions Health plays a major mediating role in the relationship between air pollution and LS. To alleviate the impact of air pollution on LS, future strategies should focus on health promotion besides reducing air pollution emissions. Key messages • Air pollution is related to lower life satisfaction directly and indirectly through health impairment. • Strategies and policies aiming at reducing air pollution emissions and better health would improve the individual’s life satisfaction and lower the mental health burden.

The burden of lung cancer attributable to ambient PM2.5 exposure: a systematic literature review

Abstract Background Lung cancer is recognized as one of the most common causes of cancer morbidity and mortality worldwide and is the second cause of death with highest years of life lost in highly developed regions. Ambient exposure to particulate matter (PM2.5) is the leading global environmental risk factor. Long-term exposure to PM2.5 is associated with several health outcomes, including lung cancer, ischemic heart disease, and chronic obstructive pulmonary disease. Aim To review and estimate the impact attributable to PM2.5 exposure due to lung cancer. Methods A systematic review and a meta-analysis were conducted to determine whether long-term exposure to PM2.5 increases the risk of lung cancer and to derive exposure-response relationships between PM2.5 and lung cancer. The literature search was performed in databases (i.e., Pubmed/Scopus) and studies published from January 1, 2010 onwards were considered. Studies describing the association between long-term exposure to the pollutant under research and the incidence, prevalence, and mortality of lung cancer, considering a relative measure of association were included, with no restriction in geographical area. Results In the literature review, 2215 articles were considered for the first step of data synthesis, all articles were screened, considering the screening of titles (first step), abstracts (second step) and full-text (third step) considering the inclusion criteria. In a second step the data was extracted from the included articles (n = 129) and considering the variables related to the characteristics of the study and the study population, exposure, and outcome measurement, and details of risk of bias assessment. Conclusions These findings provide data to synthesize effect size estimates using a Meta-Regression - Bayesian, Ensemble, Regularized, Trimmed (MR-BRT) model, important to provide evidence data on the impact of air pollution on human health, which is crucial for decision-making. Key messages • Long-term exposure to PM2.5 increases lung cancer risk so the estimating of the impact of the exposure is an urgent need to provide evidence-based data for air quality improvement. • Meta-analysis aims to establish a relation between PM2.5 exposure and the burden of lung cancer.

Age and sex differences in the effects of short- and long-term exposure to air pollution on endothelial dysfunction

Abstract Background Endothelial dysfunction is an integrated index of risk factor burden and a marker of atherosclerotic cardiovascular disease. Air pollution is widely acknowledged as a significant non-traditional risk factor for cardiovascular disease. However, the impact of air pollutants at varying concentrations and exposure durations on endothelial function in different populations remains unclear. Purpose We aimed to use brachial artery flow-mediated dilatation (FMD) to identify demographic differences in the effects of short- and long-term exposure to air pollution on endothelial dysfunction. Methods We measured FMD in 850 participants from October 2016 to January 2020. Location-specific concentrations of fine particulate matter <2.5 μm aerodynamic diameter (PM2.5), inhalable particulate matter <10 μm aerodynamic diameter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3) measured by fixed ambient air monitoring stations were collected for short- and long-term exposure assessment. We used the moving average 7- and 14-day exposures before the date of FMD measurements to estimate the short-term exposure effects and the moving average 12-month exposures before the date of FMD measurements to estimate the long-term exposure effects. Multiple linear regression models and restricted cubic splines were used to assess the associations before and after stratified by age and sex. Results This study eventually included 828 participants [551 (66.5%) younger than 65 years and 553 (66.8%) men]. Each 10 μg/m³ increase in 12-month exposure to PM10 and NO2 was significantly and linearly associated with -0.20% (95% CI: -0.37 to -0.03) and -0.58% (95% CI: -0.99 to -0.18) changes in FMD in all participants. 12-month exposure to gaseous pollutants was also significantly but nonlinearly associated with lower FMD. 7-day exposure to Quartile 4 of SO2 was significantly associated with a 0.70% decrease in FMD compared to Quartile 1 (β = -0.70, 95% CI: -1.40 to -0.008). No relationships were observed between 7- and 14-day exposure to PM2.5, PM10, NO2, CO, and endothelial dysfunction. Although interaction effects were limited to SO2 and sex, significant associations with different air pollutants were only found in men and those younger than 65 years after stratified. Conclusions Long-term exposure to air pollution is strongly associated with decreased endothelial function, and susceptibility to air pollution varies significantly with age and sex. Further identification of different susceptible populations and proactive measures to mitigate air pollution may be beneficial in reducing the burden of cardiovascular disease.

Building bridges in Climate Pact activities and Climate Action - example from Serbia

Abstract The European Climate Pact is a movement of citizens united around a common cause, each taking steps in their own worlds to build a more sustainable Europe. Launched by the European Commission, the Pact is part of the European Green Deal and is helping the EU to meet its goal to become climate-neutral by 2050. This work presents examples of activities of the EU Climate pact ambassador in different directions (international and national/local level), with an unique goal, to increase awareness of importance of action, change of mindset, and exchange positive experiences. Climate Action is presented: • through educational activities in EUGLOH project (European Global Health Universities Alliance) - by organizing Course Climate Action for Health and presenting to students at international level different Climate actions activities. • engagement of citizens through Rotary Climate Action in RD 2483 and wither in Rotary international community - as citizens activities - Rotary Climate Action with the aim to increase awareness of climate change and health consequences. • as mentorship activities with PhD students in the field (climate change and air pollution impact on respiratory diseases) - as a research activities. • as an example of cooperation with media in Serbia - increasing of awareness among journalists. There are a lot of possibilities to work in the long-term in the community, using glocal principles and trying to find a way to change the behaviour of citizens towards acceptance of climate neutrality as an important goal. Key messages • Climate Action is citizens action. • Climate action is a way to change the behaviour of citizens towards acceptance of climate neutrality as an important goal.

The Impact of Poor Air Quality on Hospitalisation of Multi-morbid Patients: A Systematic Review

Abstract Background Exposure to poor air quality worsen existing health conditions, particularly amongst vulnerable patients, leading to increased healthcare utilization. We conducted a systematic review to explore the impact of exposure to poor quality on healthcare requirements in multi-morbid patients. Methods We searched six major databases (Medline via Ovid, Embase via Ovid, Web of Science, CINAHL, Global Health, and Scopus) using search terms grouped into sets relating to ‘air pollution,’ ‘multimorbidity,’ “association” and ‘hospitalisation.’ We were interested in the impact of common air pollutants (PM2.5, PM10, SO2, NO2, O3, and CO) and articles were screened independently by two researchers. The review was registered with The International Prospective Register of Systematic Reviews (CRD42022369757) and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results A total of nineteen studies were included. All six air pollutants increased hospitalisation amongst multi-morbid patients, especially those with diabetes and cardiovascular comorbidity. Females and the elderly (>65 years old) were the most vulnerable to the effects of air pollution, with an increase in hospitalisations of 9.23% and 6.35% when exposed to PM2.5 and PM10, respectively. Patients >65 years had a higher likelihood of hospitalisation for ischemic and haemorrhagic stroke when exposed to PM2.5 or PM10 at warm season. Patients (≥70 years) who had cardiovascular and pulmonary comorbidity were 3.9% more likely to be hospitalised for a cardiopulmonary event with a rise in NO2 levels. We found an intersectional effect (referred to as “the CADC effect” - Climatic changes, Air pollutant, Demographics, Chronic conditions) that influenced the likelihood of hospitalisation. Conclusions Future research is required to further understand this CADC effect in other high-risk population. Key messages • Females, elderly, those with cardiovascular, and pulmonary comorbidity are at the highest risk of hospitalisation with poor air quality. • The CADC effect explains the intersectional effect between hospitalisation in multimorbid patients, patients demographics and chronic conditions, and air pollution and temperature effects.

Climate Change, Air Pollution, African Dust Impacts on Public Health and Sustainability in Europe

Abstract Climate change poses a significant threat to environmental sustainability and public health, leading to extreme weather events, rising sea levels, and biodiversity loss. Research on air pollution from African dust adversely associated with climate change highlights its significant role in trapping heat in the atmosphere and causing heat-related illnesses, cardiovascular disorders, and respiratory ailments. Smog, dust, acid rain, and ozone depletion also negatively impact ecosystems. The methods of the study also include the dynamics of climate change-induced air pollution. The implications for public health and environmental sustainability through GWR modeling and MODIS-NDVI analysis of controlling air pollution are crucial for reducing the climate crisis, safeguarding public health, and maintaining ecosystem sustainability. Results from particulate matter (PM 2.5-10), which consists of tiny particles with varying diameters, can enter the respiratory system through inhalation. This can lead to a diameter of less than 10 μm (PM 2.5-10). According to the relevant legislation, the limit value refers to the daily average value and must not exceed 50 μg/m3. While ozone in the stratosphere serves a protective function against ultraviolet radiation, excessive levels at ground level can be harmful and have been recorded in atmospheric samples ranging from 146.6 μg/m3 up to 702.3 μg/m3. impacting the respiratory and cardiovascular systems. Policy leaders, businesses, and individuals need to be proactive in reducing air pollution, adopting clean energy technology, and implementing stricter pollution rules. Stricter pollution rules, environmentally friendly transportation choices, and the adoption of clean energy technology. The sustainability of the ecosystem and public health are significantly impacted by climate change linked to air pollution. To solve these global problems and move toward a healthier, cleaner future for future generations, we must act now on climate justice. Key messages • Examine the impact of African dust air pollution on public health and its significant impacts from climate change, provide solutions to mitigate its effects on environmental sustainability in Europe. • Public health workers, Policymakers and stakeholders must prioritize reducing emissions and enforcing strict air quality laws to mitigate the negative impact of African dust on European populations.

Assessment of eco-environment quality using multi-source remote sensing data

ABSTRACT Accurate analysis of regional eco-environment quality (EEQ) changes is essential for urban sustainability. Most of the widely used EEQ indicators ignore the impact of air pollution caused by urbanization and economic growth. This study proposed a remote sensing-based approach using a time-series comprehensive evaluation index (CEI), which was developed by PM2.5 concentration, Land surface temperature (LST), and vegetation coverage (VC) to assess the EEQ in the Demonstration Zone of Green and Integrated Ecological Development of The Yangtze River Delta (demonstration zone) from 2000 to 2020. The EEQ changes of all districts and townships were classified into five levels. The results suggested that from 2000 to 2020, the CEI was significantly decreased (p < 0.01) in the demonstration zone, indicating an overall improvement of the EEQ. Differences in the mean annual CEI values and EEQ changes were found among districts and to wnships. Higher CEI values, which indicated a lower degree of EEQ were found in areas where build-up land comprised a higher percentage of the total area. Townships with degraded EEQ change exhibited a higher percentage of increase in build-up land (32.3%) than others (8.67% to 16.68%) from 2000 to 2020. Moreover, the change of annual CEI at the administrative district scale was found to be strongly correlated with the proportion of the secondary sector in GDP in three districts. The results of our study indicated the importance of land use optimization, air pollution reduction, and vegetation coverage enhancement to improve the regional EEQ in the urban wetland ecosystems with rapid urbanization.