Urban Resources, Ecology & Environment
The construction and demolition of buildings in cities pose considerable risks in the urban environment. This study selected Fuzhou, Xiamen, and Quanzhou as three typical cases, to analyze and predict
As the world’s top material consumer, China has created intense pressure on national or global demand for natural resources. Building an accurate material stocks and flows account of China
Song, L., Han, J., Li, N. et al. China material stocks and flows account for 1978–2018. Sci Data 8, 303 (2021). https://doi.org/10.1038/s41597-021-01075-7.
Urban Environmental Events and Tone data is collected from GDELT. This dataset describes the environmental events of every countries and identifies the people, locations, organizations, themes, sources, emotions, counts, quotes
Hao, M.; Wang, P; Song L.-L.; Dai, M.; Ren, Y; and Chen, W.-Q. Journal of Cleaner Production, 2020, 261: 121260.
Song Lulu, Wang Peng*, Hao Min, Dai Min, Xiang Keying, Li Nan, and Chen Weiqiang*. Journal of Cleaner Production, 2020, 262: 121393.
Lulu Song , Peng Wang , Keying Xiang , Wei-Qiang Chen *. Journal of Environmental Management, 2020, 271: 111035.
Yupeng Liu, Jiajia Li, Linlin Duan, Min Dai, Wei-qiang Chen*. Regional Sustainability, 2020, 1(1): 31-36.
Haojie Lu, Wanjun Wang, Min Dai, Wei-qiang* Chen, Lei Shi. China Environmental Science, 2021,41(1):451~462.
Lulu Song, Shaoqing Dai, Zhi Cao, Yupeng Liu, Wei-Qiang Chen*. Journal of Cleaner Production, 2021, 297: 126482.
A grid-level (~1km*1km) solid waste dataset has been created by coupling material flow analysis (MFA) and geographic information system (GIS) based on bottom-up (scaling-up) and top-down (scaling-down) approaches. The
We have developed a stock-driven metabolism model by coupling material flow analysis (MFA) and geographic information system (GIS) to quantify urban material stock and flows. We also create grid-level (~1km*
Urban Population Dataset includes Real-time Population Density Data, etc.
Night Lights Data was collected from NASA.
Qian Cao, Yupeng Liu*, Matei Georgescu, Jianguo Wu. Landscape Ecology, 2020, 35(6): 1269-1290.
Min Hao, Lulu Song, Min Dai, Yupeng Liu, Tao Dai, Wei-Qiang Chen. Resources & Industries:1-9[2021-08-31].
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