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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Quantifying nonlinear thresholds of grey-green space morphology on urban carbon metabolism across local climate zones: a machine learning study in Changchun city

  • Yuqing Gong
  • Wenjun Qin
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@article{gong2026quantifying,
  title = {{Quantifying nonlinear thresholds of grey-green space morphology on urban carbon metabolism across local climate zones: a machine learning study in Changchun city}},
  author = {Yuqing Gong and Wenjun Qin},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-77033-3},
  url = {https://www.nature.com/articles/s41598-026-77033-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Quantifying nonlinear thresholds of grey-green space morphology on urban carbon metabolism across local climate zones: a machine learning study in Changchun city
AU  - Yuqing Gong
AU  - Wenjun Qin
PY  - 2026
DA  - 2026/10/22
JO  - Scientific Reports
DO  - 10.1038/s41598-026-77033-3
UR  - https://www.nature.com/articles/s41598-026-77033-3
SN  - 2045-2322
ER  -