荷兰城市化地区城市热脆弱性评估的高分辨率数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Maha M. Habib , Marjolein van Esch , Maarten van Ham , Wim J. Timmermans
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引用次数: 0

摘要

城市热岛效应对城市生活质量的影响越来越大,详细的数据对于制定缓解政策至关重要。然而,气象站主要位于城市环境之外,限制了它们代表街道峡谷内变化的空气温度的能力。本数据论文通过展示2023年夏季荷兰99个城市的模拟日最大城市热岛(UHImax)效应数据集来解决这一限制。这是通过实施一个半经验方程来实现的,该方程结合了现成的气象变量和两个关键的城市形态指标,即天空景观因子和植被覆盖度。本文给出了两个主要数据集:(1)模拟UHImax的高分辨率数据集,(2)Sky View Factor数据集。这两个数据集都以5米空间分辨率的GeoTIFF格式提供。此外,本文提出了一种简单的方法来获得其他时期的UHImax值。这些数据集和随附的方法为推进荷兰的城市气候研究、城市规划和热量缓解战略提供了宝贵的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Resolution Datasets for Urban Heat Vulnerability Assessment in Urbanized Areas of the Netherlands
The urban heat island effect is increasingly affecting the quality of life in cities, and detailed data is crucial in designing mitigation policies. However, weather stations are predominantly situated outside urban environments, limiting their ability to represent the varying air temperatures within street canyons. This data paper addresses this limitation by presenting a dataset of the modeled daily maximum Urban Heat Island (UHImax) effect across 99 Dutch municipalities during the summer of 2023. This is achieved by implementing a semi-empirical equation which incorporates readily available meteorological variables and two key urban morphological indicators, namely the sky view factor and fractional vegetation cover. Two primary datasets are presented: (1) a high-resolution dataset of modeled UHImax, and (2) a Sky View Factor dataset. Both datasets are provided in GeoTIFF format at a 5-meter spatial resolution. Additionally, this paper presents a straightforward methodology for obtaining UHImax values for other periods. The datasets and accompanying methodology provide valuable resources for advancing urban climate research, urban planning, and heat mitigation strategies in the Netherlands.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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