Assessing land surface temperature dynamics and urban heat island effects in Delhi: a multi-temporal analysis and future projections
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View abstract on PubMed
Summary
This summary is machine-generated.Urban expansion significantly increases land surface temperature (LST) in Delhi, with bare land and urban areas showing the highest heat. This study highlights the need for adaptive urban planning to mitigate rising temperatures by 2041.
Area Of Science
- Environmental Science
- Urban Planning
- Remote Sensing
Background
- Land use/land cover (LULC) changes significantly impact land surface temperature (LST).
- Understanding these dynamics is crucial for sustainable urban development and climate change adaptation.
- Delhi, India, faces rapid urbanization, necessitating an analysis of LULC-LST relationships.
Purpose Of The Study
- To analyze the spatiotemporal dynamics of LULC and LST in Delhi from 2001 to 2021.
- To evaluate the district-level implications of LST variations.
- To predict seasonal LST trends for North Delhi in 2041 using time series modeling.
Main Methods
- Utilized Landsat thermal data (2001, 2011, 2021) resampled to 30-m resolution.
- Employed the Random Forest (RF) approach for LULC classification.
- Applied statistical analyses (ANOVA, Pearson correlation, linear regression) and the SARIMA model for LST prediction.
Main Results
- Significant LULC-driven LST variations were observed, with urban expansion and bare lands showing higher temperatures.
- Vegetation and water bodies consistently exhibited lower LST.
- Surface urban heat island intensity was highest in densely built-up areas; projections indicate rising temperatures by 2041.
Conclusions
- Urban expansion strongly correlates with increased LST, emphasizing the need for strategic urban planning.
- Integrating vegetation buffers and green spaces is vital for mitigating urban heat.
- Findings inform future urban development policies, including Master Plan Delhi 2041, for climate resilience.
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