As for the satellite-based data, the prediction of PM1, PM2.5, and PM10 from 2009 through 2012 was based on an assumption that the association of PM with its variables remained consistent over this period. However, this assumption could not be verified, as ground monitoring data were ...
demonstrated superior predictive accuracy, making it a promising model for quality prediction in cigar tobacco leaves during air-curing process. Overall, VNIR-HSI based on DR-CNN can effectively predict the quality of cigar tobacco leaves at different air-curing levels. The curing process is a crit...
version 4.2.1 (Skamarock et al.2019). The model was initialized with the National Center for Environmental Prediction Final (NCEP FNL) Operational Global Analysis data (NCEP2021) and was run in nested mode with two domains: the outer domain...
In the context of environmental concerns, microplastic (MPs) pollution emerges as one of the burning issues. The goal of this multifaceted analysis is to p
Several such prediction methods are used and tested using cross-validation. The most effective method, which in particular predicts well high the oxidant values we are more concerned with, involved only the other monitoring stations as predictors, with no weather variables used, intercept set to ...
Accurate air quality forecasting is crucial in providing reliable early warning information to the public. However, predictions generated by three-dimensional chemical transport models, such as the widely used Community Multiscale Air Quality (CMAQ) model, often exhibit considerable biases compared to obs...
(M)’ cases), for instance, at all three sites the correlation exceeds 0.8 and the number of points within a factor of two of the observations is greater than 0.9; the likely explanation for the slight under-prediction of concentrations at Jagtvej (Fb −0.206) and over-prediction at Go...
relatively larger, and the relative years of these two cities have more serious air pollution, which is consistent with the reality that Zhaoqing was at the bottom of the 21 prefecture-level cities in the province when Guangdong was first ranked according to the new air quality standards in ...
To address this, we designed a machine learning (ML) framework that leverages data from personal air quality monitors, health records, lifestyle, and living condition information to build models that perform short-term prediction of COPD exacerbations. The framework employs (i) k-means clustering ...
1)air quality大气质量 1.Study on optimal weighted combination method of air quality mid-long term prediction;最优化权值组合法用于大气质量中长期预测的研究 2.Integrated evaluation of recreation development effects on air quality in Zhangjiajie National Forestry Park, China.;旅游开发利用对张家界国家森林公...