Data · dataset · 2024
A dataset of carbon emission projections for Yangtze River Delta Urban Agglomeration, China, 2020-2035.
Listed in ScienceDB
The characteristics of spatial networks within urban agglomerations determine that the peak carbon path of a single city is inevitably affected by neighboring cities, but the prediction of peak carbon considering the spatial correlation is still not well researched.
Description
To address this situation, we developed a spatially embedded deep learning forecasting model and conducted carbon emission forecasts for 2020-2035 based on the 2000-2019 data of China's Yangtze River Delta city cluster.
The prediction scenarios include a baseline scenario and a green scenario. The provided dataset includes the projected carbon emissions of 41 cities under these two scenarios for the period 2020-2035. This dataset can be used for the study of the development of a global strategy for carbon peaking in urban agglomerations.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.17027 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Urban and regional planning 73%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.17027 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3304 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |