To explore the impact of green financial policy on regional economic development level and Air Quality Index (AQI), this paper selected two pilot regions reform to construct a quasi-experiment in Zhejiang Province. The results show that finance can reduce AQI pass parallel trend test placebo test, showing strong stability. Mechanism analysis shows improve environmental quality mainly by increas...

The rapid urbanization in China the last decade has brought about severe air pollution problems. To provide a theoretical basis for improving environment, this paper analyses quality’s spatial and temporal evolution 13 prefecture-level cities Hubei Province. It influence of various indicators on AQI. Based existing literature, selects six to measure level each city three dimensions: population,...

To prevent the spread of coronavirus disease 2019 (COVID-19), which emerged in late December 2019, Chinese government immediately adopted lockdown measures, such as restricting traffic and closing factories. By analyzing spatiotemporal distribution air quality index (AQI) values Dongying, a city dominated by petrochemical industry (specifically, petroleum exploration), during February 2020, whe...

The Monte Carlo (MC) method exhibits generality and insensitivity to the number of stochastic variables, but it is expensive for accurate Average Quality Index (AQI) or Parametric Yield estimation of MOS VLSI circuits or discrete component circuits. In this paper a variant of the Latin Hypercube Sampling MC method is presented which is an efficient variance reduction technique in MC estimation....

Abstract Air pollution is increasingly becoming a main environmental matter in the world. It can impact public health, weather, and climate. Riyadh's air poses significant health risks. The study aimed to analyze current future quality by using AQI. Main six pollutants are considered, nitrogen dioxide (NO 2 ), sulfur (SO particulate (PM), ground level ozone (O 3 carbon (CO monoxide (CO). Eleven...

With the development of science and technology, Industry, transportation other industries used to discharge a large number pollutants into atmosphere, which results in air pollution. When pollution become serious, it will do great harm human health. High-precision Air Quality Index(AQI) prediction is as important weather prediction. People could arrange traveling their life according highly pre...

Air-quality monitoring and forecasting are crucial for atmosphere pollution control management. We propose an innovative data-driven framework air quality index (AQI) prediction by integrating GNSS radio occultation (GNSS-RO) observation weather modeling. Empowered the state-of-the-art machine learning approach, our method can effectively predict regional AQI with a comparable accuracy much mor...

Fine particles (PM2.5) have adverse impacts and risks on air quality human health. The present research focuses the concentrations of PM2.5, index (AQI), assessment hospital admissions due to COPD attributed PM2.5 particle levels in Tehran during last 10 years from 2011 2020. effects meteorological parameters (i.e., wind speed, humidity, temperature) AQI were examined using data 21 active monit...

Accurate, timely air quality index (AQI) forecasting helps industries in selecting the most suitable pollution control measures and public reducing harmful exposure to pollution. This article proposes a comprehensive method forecast AQIs. Initially, work focused on predicting hourly ambient concentrations of PM2.5 PM10 using artificial neural networks. Once was developed, extended prediction ot...