In the field of environmental science, traditional methods for predicting PM2. 5
concentrations primarily focus on singular temporal or spatial dimensions. This approach …

The development of low-cost sensors and novel calibration algorithms provides new hints to
complement conventional ground-based observation sites to evaluate the spatial and …

In recent years, as the level of fine particulate matter (PM 2.5) concentration has become
more closely monitored in Thailand and its harmful effects on health have been widely …

Traffic information from the distance matrix application program interface (API), which is a
part of the Google Maps API service, was used to develop a near real-time traffic emissions …

Air quality is one of the problems cities face today. The COVID-19 pandemic provided a
unique opportunity to study the influence of traffic reduction on air quality during 2020, 2021 …

Abstract Fine particulate matter (PM 2.5) poses a potential threat to human health. The
effects on PM 2.5 before and after implementing a reversible lane were analysed based on a …

Catchment runoff scale relationships comprise an important theoretical support for water
resource management. However, previous understandings of the scale effect were mostly …

In recent years, China's urban air pollution has caused widespread concern in the academic
world. As one of China's economic and financial centers and one of the most densely …

Statistical methods such as multiple linear regression (MLR) and classification and
regression tree (CART) analysis were used to build prediction models for the levels of …

Context: The intensifying utilization of glyphosate has provoked global scientific concern due
to the potential large-scale impact on ecosystems. In 2015, the International Agency for …