Using Tencent location based service data and machine learning mapping produced by multi-sources geospatial data to investigate the health risk of short-term exposure to PM2.5..
Cities play an essential role in low-carbon development. However, Estimating CO$_2$ emissions at the urban scale, including both un-gridded (i.e., administrative unit maps) and gridded maps, cannot avoid the propagation of uncertainties from input to result, which highlights the importance of being aware of uncertainty estimation, especially in gridded maps due to its implications for the precision mitigation of CO$_2$ emissions. We proposed an analytic workflow to analyze the propagated uncertainties caused by the gridded model and the input for gridded CO$_2$ emission maps.
Using Tencent location based service data and machine learning mapping produced by multi-sources geospatial data to investigate the health risk of short-term exposure to PM2.5.
This paper presented the spatial database collected in 2013 for mitigating the urban carbon emissions of Jinjiang city, China. The database included the high-resolution $CO_2$ emissions gridded maps, urban form fragmentation evaluation maps, and …
The “Scale effect” has always been the hot topic in landscape ecology research. Although, there are many studies on the driving force of urban environmental problems by using landscape metrics. Most studies are carried out in regional, continental and global scales. However, in this study, we explored the relationship between the urban form fragmentation and $CO_2$ emissions in the city scale from the perspective of dual resolution sizes and summarized the research conclusions that can be used in urban internal management based on the analysis results of small towns.
Cities are typical sources of carbon and a focus of climate-change mitigation. Although there is great potential for reducing emissions in cities, constructing low-carbonemission cities under the carbon-emission reduction target of the 2016 Paris …
High concentrations of PM2.5 are a primary cause of haze in the lower atmosphere. A better understanding of the spatial heterogeneity and driving factors of PM2.5 concentrations is important for effective regional prevention and control. In this …
The spatiotemporal distribution pattern of the surface temperatures of urban forest canopies (STUFC) is influenced by many environmental factors, and the identification of interactions between these factors can improve simulations and predictions of …