GIS

High-Resolution Mapping of Direct CO$_2$ Emissions and Uncertainties at the Urban Scale

This study gridded the CO$_2$ Emissions at the urban scale and quantified the uncertainties.

High-resolution mapping of direct CO$_2$ emissions and uncertainties at the urban scale

Mapping direct carbon emissions at high-resolution in urban environments could help in the development of measures to mitigate carbon emissions through optimizing the layout of inner structures. It requires the use of a mapping method combining the …

Individual and Interactive Influences of Anthropogenic and Ecological Factors on Forest PM2.5 Concentrations at an Urban Scale

Integration of Landsat images and multisource data using spatial statistical analysis and geographical detector models can reveal the individual and interactive influences of anthropogenic activities and ecological factors on concentrations of …

Research on the effects of different policy tools on China’s emissions reduction innovation(Chinese)

The impact that environmental regulation has on technology innovation is a hot spot in currently research which already has a large number of empirical studies based on Porter Hypothesis. However there are still controversies in academia about the …

Research on the effects of command-and-control and market-oriented policy tools on China’s energy conservation and emissions reduction innovation

The impact of environmental regulation on technology innovation is a hot spot in current research where a large number of empirical studies are based on Porter Hypothesis (PH). However, there are still controversies in academia about the …

Landscape-Scale Simulation Analysis of Waterlogging and Sponge City Planning for a Central Urban Area in Fuzhou City, China

We want to know how the pattern of grassland and water influence the hydrological process of cities.

The Environmental Effect of Urban Form on PM2.5, A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration

This study analyzed the environmental effect of urban form on PM2.5 by multi-sources data.

The Environmental Effect of Urban Form on PM2.5: A Case Study of Beijing-Tianjin-Hebei Urban Agglomerations(Chinese)

Air Pollution Map

We used multi-sources data, machine learning and spatial statistics to devlop the accurate air pollution map.

Urban Carbon Cycle

We used machine learning, spatial statistics, ecological process model and remote sensing to construct map of urban carbon cycle.