Existing methods for fine-scale air quality assessment have significant gaps in their reliability. Purely data-driven methods lack any physically-based mechanisms to simulate the interactive process of air pollution, potentially leading to physically inc
Present study furthermore compares the value of the air quality co-benefits with the macroeconomic cost of climate change mitigation policies, the latter also depending on the relative ambition levels across countries through industry competitiveness and international trade. We find that the value of ...
A systematic monitoring network in support of a successful implementation plan to reduce regional air pollution exposure must represent most of the population, and cover a diverse range of topography, meteorology, emissions, and air quality in the region. If possible, multiple pollutants and precursors...
The air quality modeling system WRF–CMAQ was applied to the European domain for the year 2010 in the frame of the Air Quality Model Evaluation International Initiative (AQMEII), Phase 2. The model system was set up for a domain of 5000×5000 km2 size with horizontal resolution of 25km....
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Therefore, high-income groups with sensitivity to air quality are prone to negative emotions due to air pollution. 4.4. Robustness Test To improve the reliability and credibility of this study, this paper analyzes the robustness of the results from three aspects: a variable substitution test, a ...
electronics Article A Cost-Effective Air Quality Supervision Solution for Enhanced Living Environments through the Internet of Things Gonçalo Marques and Rui Pitarma * Unit for Inland Development, Polytechnic Institute of Guarda, Avenida Doutor Francisco Sá Carneiro N◦ 50, 6300-559 Guarda, ...
Senseair part of an Indoor Air Quality Alliance The general public has become much more aware about the risks associated with poor indoor air quality. We now know that Covid-19 is transmitted through aerosol particles in the air, and we are all concerned about the spread of Covid-19... ...
7 to visualize the quality and the predictive power of the four models. Additionally, we calculated the importance of predictors for predicting Ta at different MODIS overpassing times (Fig. 6) and their relative importance in each trained model (Supplementary Table 9). On average, ERA5 land ...
Protect yourself from tiny particles. A PM1.0 Filter traps ultrafine particles using an electrostatic precipitator. Colored lights show the current air quality and a sensor detects when the air is dirty, so it can be automatically cleaned⁶. And the washable filter is cost-effective to maintain...