Assessing heat risk in a sub-saharan African humid city, Lagos, Nigeria, using numerical modelling and open-source geospatial socio-demographic datasets

IF 3.9 Q2 ENVIRONMENTAL SCIENCES
Oluwafemi Benjamin Obe, Tobi Eniolu Morakinyo, Gerald Mills
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引用次数: 0

Abstract

In Sub-Saharan Africa, many cities are facing an increased risk of heat due to climate change and rapid urbanization. This poses a particular threat in areas with limited adaptive capacity. However, there is a lack of comprehensive heat risk assessment in the region, possibly due to the absence of high-resolution weather data. This study aims to address this gap by proposing and demonstrating a methodology for mapping high-risk areas in a tropical humid city, specifically focusing on Lagos, Nigeria. The approach utilises advanced numerical modelling techniques and open-source geospatial data.

The urbanised Weather Research and Forecasting (WRF) model is employed to simulate Humidex-based heat stress during a specific heatwave event in March 2020. Open-source high resolution geospatial datasets were used to assess heat exposure and vulnerability. The urban areas were classified based on the Local Climate Zone (LCZ) scheme. Spatial analysis techniques, including Moran’s I test and Optimized Hot Spot Analysis (OHSA), were used to identify spatial clustering patterns and hot spots of heat risk areas.

Moreover, using Gi* statistics in OHSA, the risk layer was categorised into hot, cold, and non-significant spots at various levels of significance (90 %, 95 %, and 99 %). Mapping the hot spots at the highest confidence level of 99 % identified Critical Heat Risk Zones (CHRZ), covering an area of approximately 423 km2. The results showed significant heat risk in highly urbanised LCZs. Further investigation indicated that the largest proportion of high-risk zones corresponded to densely populated and highly urbanised LCZs- LCZ3 (59 %), LCZ 6(21 %), and LCZ 7(17 %). Notably, these areas coincide with two well-known slums in Lagos, emphasizing the need for targeted interventions and planning measures in these areas.

The findings highlight the magnitude and extent of heat risk within the city and emphasize the urgent need for targeted climate change adaptation and mitigation strategies in the identified high-risk zones.

利用数值模拟和开源地理空间社会人口数据集评估撒哈拉以南非洲潮湿城市尼日利亚拉各斯的热风险
在撒哈拉以南非洲,由于气候变化和快速城市化,许多城市正面临着越来越大的高温风险。这对适应能力有限的地区构成了特别的威胁。然而,该地区缺乏全面的热风险评估,可能是由于缺乏高分辨率的天气数据。本研究的目的是通过提出和展示一种方法来解决这一差距,该方法用于绘制热带潮湿城市的高风险地区,特别关注尼日利亚的拉各斯。该方法利用先进的数值模拟技术和开源地理空间数据。城市化的天气研究与预报(WRF)模型用于模拟2020年3月特定热浪事件期间基于humidex的热应激。利用开源高分辨率地理空间数据集评估热暴露和脆弱性。根据当地气候区(LCZ)方案对城市区域进行分类。利用Moran’s I检验和优化热点分析(OHSA)等空间分析技术,对热风险区的空间聚类模式和热点进行了识别。此外,利用OHSA中的Gi*统计数据,根据不同的显著性水平(90%、95%和99%),将风险层分为热点、冷点和非显著点。以99%的最高置信度绘制热点地图,确定了关键热危险区(CHRZ),覆盖面积约423平方公里。结果显示,高度城市化的lcz存在显著的热风险。进一步的调查表明,高危区所占比例最大的是人口密集和高度城市化的LCZ - LCZ3 (59%), lcz6(21%)和lcz7(17%)。值得注意的是,这些地区与拉各斯两个著名的贫民窟重合,强调需要在这些地区采取有针对性的干预措施和规划措施。研究结果强调了城市内热风险的大小和程度,并强调了在确定的高风险区域迫切需要有针对性的气候变化适应和缓解战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
City and Environment Interactions
City and Environment Interactions Social Sciences-Urban Studies
CiteScore
6.00
自引率
3.00%
发文量
15
审稿时长
27 days
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