High-resolution datasets for urban heat vulnerability assessment in urbanized areas of the Netherlands
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View abstract on PubMed
Summary
This summary is machine-generated.This study presents a dataset of modeled urban heat island intensity (UHImax) across Dutch municipalities in summer 2023. The data aids urban planning and heat mitigation strategies.
Area Of Science
- Environmental Science
- Urban Climatology
- Geographic Information Science
Background
- The urban heat island (UHI) effect negatively impacts urban quality of life.
- Existing weather station data inadequately represents intra-urban temperature variations.
- Detailed UHI data is essential for effective mitigation policy development.
Purpose Of The Study
- To present a high-resolution dataset of modeled daily maximum urban heat island intensity (UHImax) for 99 Dutch municipalities during summer 2023.
- To provide a complementary dataset of sky view factor (SVF) at a 5-meter resolution.
- To offer a methodology for calculating UHImax for different time periods.
Main Methods
- Implemented a semi-empirical equation using meteorological variables, sky view factor, and fractional vegetation cover.
- Generated UHImax and SVF datasets at a 5-meter spatial resolution.
- Ensured data compatibility by providing outputs in GeoTIFF format.
Main Results
- A high-resolution (5-meter) dataset of modeled UHImax for Dutch municipalities in summer 2023 was created.
- A corresponding high-resolution sky view factor dataset was generated.
- A reproducible methodology for UHImax estimation was documented.
Conclusions
- The presented datasets and methodology offer valuable resources for urban climate research in the Netherlands.
- This data supports improved urban planning and the development of targeted heat mitigation strategies.
- The study addresses a critical data gap for understanding and managing urban heat island effects.
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