Danlu Chen
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View article: A Study on Flood Susceptibility Mapping in the Poyang Lake Basin Based on Machine Learning Model Comparison and SHapley Additive exPlanations Interpretation
A Study on Flood Susceptibility Mapping in the Poyang Lake Basin Based on Machine Learning Model Comparison and SHapley Additive exPlanations Interpretation Open
Floods are among the most destructive natural disasters, and accurate flood susceptibility mapping (FSM) is crucial for disaster prevention and mitigation amid climate change. The Poyang Lake basin, characterized by complex flood formation…
View article: Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism
Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism Open
Air pollution over China has attracted wide interest from public and academic community. PM2.5 is the primary air pollutant across China. Quantifying interactions between meteorological conditions and PM2.5 concentrations are essential to …
View article: The control of anthropogenic emissions contributed to 80 % of the decrease in PM <sub>2.5</sub> concentrations in Beijing from 2013 to 2017
The control of anthropogenic emissions contributed to 80 % of the decrease in PM <sub>2.5</sub> concentrations in Beijing from 2013 to 2017 Open
With the completion of the Beijing Five-year Clean Air Action Plan by the end of 2017, the annual mean PM2.5 concentration in Beijing dropped dramatically to 58.0 µg m−3 in 2017 from 89.5 µg m−3 in 2013. However, controversies exist to arg…
View article: Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM <sub>2.5</sub> concentrations, source apportionment, and the relative contribution of local emission and regional transport
Evaluating the “2+26” regional strategy for air quality improvement during two air pollution alerts in Beijing: variations in PM <sub>2.5</sub> concentrations, source apportionment, and the relative contribution of local emission and regional transport Open
To comprehensively evaluate the effects of the recent “2+26” regional strategy for air quality improvement, we compared the variations in PM2.5 concentrations in Beijing during four pollution episodes with different emission-reduction stra…
View article: Predictive Ensemble Learning with Application to Scene Text Detection
Predictive Ensemble Learning with Application to Scene Text Detection Open
Deep learning based approaches have achieved significant progresses in different tasks like classification, detection, segmentation, and so on. Ensemble learning is widely known to further improve performance by combining multiple compleme…
View article: The control of anthropogenic emissions contributed to 80 % of the decrease in PM <sub>2.5</sub> concentrations in Beijing from 2013 to 2017
The control of anthropogenic emissions contributed to 80 % of the decrease in PM <sub>2.5</sub> concentrations in Beijing from 2013 to 2017 Open
With the completion of the Beijing Five-year Clean Air Action Plan by the end of 2017, the annual mean PM2.5 concentrations in Beijing dropped dramatically to 58.0 μg/m3 in 2017 from 89.5 μg/m3 in 2013. However, controversies exist to argu…
View article: Evaluating the Recent 2+26 Regional Strategy for Air Quality Improvement During Two Orange Air Pollution Alerts in Beijing: variations of PM <sub>2.5</sub> concentrations, source apportionment, and the relative contribution of local emission and regional transport
Evaluating the Recent 2+26 Regional Strategy for Air Quality Improvement During Two Orange Air Pollution Alerts in Beijing: variations of PM <sub>2.5</sub> concentrations, source apportionment, and the relative contribution of local emission and regional transport Open
To comprehensively evaluate the effects of the recent 2+26 regional strategy for air quality improvement, we compared the variations in PM2.5 concentrations in Beijing during four pollution episodes with different emission-reduction strate…
View article: Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data
Understanding the Influence of Crop Residue Burning on PM2.5 and PM10 Concentrations in China from 2013 to 2017 Using MODIS Data Open
In recent years, particulate matter (PM) pollution has increasingly affected public life and health. Therefore, crop residue burning, as a significant source of PM pollution in China, should be effectively controlled. This study attempts t…
View article: Understanding meteorological influences on PM <sub>2.5</sub> concentrations across China: a temporal and spatial perspective
Understanding meteorological influences on PM <sub>2.5</sub> concentrations across China: a temporal and spatial perspective Open
With frequent air pollution episodes in China, growing research emphasis has been put on quantifying meteorological influences on PM2.5 concentrations. However, these studies mainly focus on isolated cities, whilst meteorological influence…
View article: Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data
Understanding Temporal and Spatial Distribution of Crop Residue Burning in China from 2003 to 2017 Using MODIS Data Open
Crop residue burning, which is a convenient approach to process excessive crop straws, has a negative impact on local and regional air quality and soil structures. China, as a major agricultural country with a large population, should take…
View article: Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data
Examining the Influence of Crop Residue Burning on Local PM2.5 Concentrations in Heilongjiang Province Using Ground Observation and Remote Sensing Data Open
Although a many studies concerning crop residue burning have been conducted, the influence of crop residue burning on local PM2.5 concentrations remains unclear. The number of crop residue burning spots was the highest in Heilongjiang prov…
View article: Understanding meteorological influences on PM <sub>2.5</sub> concentrations across China: a temporal and spatial perspective
Understanding meteorological influences on PM <sub>2.5</sub> concentrations across China: a temporal and spatial perspective Open
With frequent haze events in China, growing research emphasis has been put on quantifying meteorological influences on PM2.5 concentrations. However, these studies mainly focus on isolated cities whilst meteorological influences on PM2.5 c…
View article: Deep Reinforcement Learning for Accelerating the Convergence Rate
Deep Reinforcement Learning for Accelerating the Convergence Rate Open
In this paper, we propose a principled deep reinforcement learning (RL) approach that is able to accelerate the convergence rate of general deep neural networks (DNNs). With our approach, a deep RL agent (synonym for optimizer in this work…