With the rapid development of economy and continuous improvement in people’s living standards, predictions air quality index have attracted wide attention. In this paper, a new feature selection method (Pearson-MI) combined model construction (modified inverse variance method) were proposed to study (AQI) its influencing factors Changchun. The Pearson-MI selects that affect AQI Changchun City f...

We use panel data from Germany to analyze the effect of population density on urban air pollution (nitrogen oxides, particulate matter, ozone, and an aggregate index for bad quality [AQI]). To address unobserved heterogeneity omitted variables, we present long difference/fixed effects estimates instrumental variables estimates, using historical soil as instruments. Using our preferred find that...

A versatile scheduling problem to model a three-way tradeoff between age of information (AoI), quality/distortion, and energy is considered. The considered called the quality (AQI) select which packets transmit at each time slot minimize linear combination utility driven by quality, AoI, transmission cost in an online fashion. AQI combines tradeoffs from some important distinct problems, such a...

Aerosol Optical Depth (AOD), quantifying the amount of aerosol in atmosphere, is widely regarded as a crucial indicator for research on atmospheric physics and regional air quality. At present, inversion AOD from observation satellite remote sensing sensors has become main technology large-scale monitoring load. The Huaihai Economic Zone connecting belt two key areas governance (the Yangtze Riv...

The WRF-CMAQ (Weather research and forecast-community multiscale air quality) simulation system is commonly used as the first prediction model of pollutant concentration, but its accuracy not ideal. Considering complexity quality high-performance advantages deep learning methods, this paper proposes a second method concentration based on Kalman-attention-LSTM (Kalman filter, attention long shor...