In order to select a visibility parameterization scheme that can be applied well to the Beijing-Tianjin-Hebei (BTH) region and provide better forecasting, a modified parameterization of visibility based on the aerosol volume concentration and RH is developed in this study. This upgraded parameterization scheme (S1) and other schemes based on PM and RH (S2) and Mie theory (S3) are evaluated using forecast data from Rapid refresh Multi-scale Analysis & Prediction System-CHEM (RMAPS-CHEM v1.0). A performance test using data from February 2017 showed that:① The concentration of PM is forecast well in the BTH region. The correlation coefficients of the observed and forecast daily average PM in most areas are higher than 0.8, and the forecasted values are close to those observed. The mean errors (ME) are -7.54, -0.46, and -11.0μg·m for the forecast domain, south and north of Hebei province, and 12.04, 2.02, and -13.31 μg·m for the cities of Beijing, Tianjin, and Shijiazhuang, respectively. The correlation coefficients for the forecast and observed hourly relative humidity in the three typical cities are above 0.78, and the mean errors are lower than 3.91%. ② All three parameterization schemes predict the time evaluation of visibility in the BTH region during February 2017 well. In general, the visibility predicted with S1 is the lowest, while that of S3 is the highest; the predictions of S2 are intermediate. In most areas of the BTH region, S1 has the minimum root mean squared error (RMSE) and normalized mean error (NME) between the observed and forecast visibility, while S3 has the maximum RMSE and NME. The error of S2 is between that of S1 and S3, but it shows the best performance in the Beijing area. ③ When the observed visibility is higher than 10 km, the predicted visibilities of the three schemes are all lower than the observed visibility, and S3 has the lowest mean error (ME) and RMSE. S1 has the lowest MB, RMSE, and NME when the visibility is lower than 10 km, especially for visibilities of 1 km to 5 km, which occurred more frequently during heavy haze episodes. The comparison of the results indicated that S1 is best for application to haze forecasting in the BTH region.
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http://dx.doi.org/10.13227/j.hjkx.201808244 | DOI Listing |
Environ Pollut
January 2025
School of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, 710049, China.
Air pollution carries different disease burdens across all age groups, with the elderly and children being the most affected. Therefore, it is of practical significance to study air pollution exposure characteristics of different age groups in the context of accelerating aging in China. In this study, we used the number of people and air pollutant concentration data at the township-level scale (the smallest administrative unit in China) to calculate population-weighted PM concentration exposure (PM PWE) values of different age groups in the Beijing-Tianjin-Hebei (BTH) region, quantified the pollution exposure disparities among different groups, and analyzed the spatiotemporal changes in such differences and their driving factors.
View Article and Find Full Text PDFJ Clin Gastroenterol
January 2025
Division of Gastroenterology and Hepatology, Virginia Mason Medical Center, Seattle, WA.
Background And Aims: Gastric outlet obstruction (GOO) is a clinical manifestation of mechanical obstruction at the antropyloric region or proximal small bowel. The goal of endoscopic management is to relieve the obstruction so patients can resume per oral intake. Most studies have focused on malignant causes of GOO; yet only a handful have explored outcomes related to benign etiologies.
View Article and Find Full Text PDFPLoS One
December 2024
School of Economics and Management, Yanshan University, Qinhuangdao, China.
Background: Internet searches offer an indicator of public attention and possible demand for certain things. Studying the spatiotemporal characteristics of the public's concern for vaccination can determine the spatiotemporal distribution of demand for vaccines in China, and capture the changes in the health awareness of the Chinese population, thus informing future vaccination strategies.
Methods: Based on the collection of Baidu search indices for vaccination-related keywords in 363 cities in China, This paper seeks to explore the spatiotemporal changes and regional differences in public attention toward vaccination in China by using the seasonal index, seasonal concentration index, Herfindahl index, Moran index, and Dagum Gini coefficient.
J Environ Manage
January 2025
Business School, Shanghai University of Finance and Economics, Shanghai, 200080, PR China. Electronic address:
Amidst the global consensus on green transformation and sustainable development, the digital economy has emerged as a pivotal catalyst for enhancing carbon emission efficiency. Analyzing panel data of 49 cities in Beijing-Tianjin-Hebei (BTH), Yangtze River Delta (YRD), and Pearl River Delta (PRD) from 2011 to 2022, this study explores the U-shaped journey of the digital economy towards green development. The rebound effect on energy consumption from early digital infrastructure investments delays the long-term benefits of digital applications in boosting carbon performance, and the thresholds of DE in BTH, YRD, and PRD regions are 0.
View Article and Find Full Text PDFHuan Jing Ke Xue
December 2024
School of Economics and Management, Hebei University of Technology, Tianjin 300401, China.
With the rapid development of urbanization in China, the energy consumption and carbon emissions in the building sector will continue to grow. Therefore, the future dynamic evolution of building carbon emissions must be crucially investigated to achieve the "dual carbon" target in China. A system dynamics model of "urbanization-building carbon emissions" was constructed from the perspective of urbanization for revealing the mechanism of urbanization-related factors on building carbon emissions.
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