研究美国内华达州里诺市社会脆弱性、土地覆被动态和热暴露之间的关系

IF 3.8 Q2 ENVIRONMENTAL SCIENCES Remote Sensing Applications-Society and Environment Pub Date : 2024-11-20 DOI:10.1016/j.rsase.2024.101400
Consolata Wangechi Macharia, Lawrence Kiage
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引用次数: 0

摘要

酷热是一个持续存在的城市挑战,其影响有损人类健康。与高温相关的影响对得不到充分服务的人群造成了不成比例的影响。通过增加不透水率对城市景观进行改造,加剧了地表温度,导致热暴露风险增加。虽然适应气候的努力取得了进展,但这些努力不足以应对气候变化的不确定性以及与气候相关的危害的长期风险。此外,尽管对美国各城市的高温脆弱性进行了大量研究,但对里诺市的研究大多不足。为了填补这些空白,本研究考察了内华达州里诺市的社会脆弱性时空模式、生物物理特性变化和高温危害之间的关系。我们利用疾病预防控制中心的人口普查数据绘制了社会脆弱性指数 (SVI) 图,并利用 1990 年至 2023 年的 Landsat 卫星数据分析了陆地表面温度 (LST) 趋势,从而对热模式进行了时空比较研究。此外,我们还采用归一化差异植被指数(NDVI)分析植被范围。分区统计工具有助于评估不同土地利用特征对地表温度的影响。结果表明,被确定为社会脆弱性热点的地区往往与受极端气温影响较大的地区重合,反之亦然。我们的研究结果还揭示了热脆弱性热点从城市核心地区向郊区的延伸。我们观察到植被覆盖地区的平均 LST 值下降,而不透水地区的平均地表温度上升。这些发现强调了增加植被以缓解高温的必要性。
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Examining the nexus of social vulnerability, land cover dynamics, and heat exposure in Reno, Nevada, USA
Intense heat is a persistent urban challenge whose impacts are detrimental to human health. Heat-related effects disproportionately impact underserved populations. Modification of urban landscapes through increased imperviousness intensifies surface temperatures, leading to heightened heat exposure risks. While climate adaptation efforts have advanced, they are inadequate in addressing the uncertainties of climate change and the long-term risks of climate-related hazards. In addition, despite the numerous heat vulnerability studies across U.S. cities, the City of Reno is largely understudied. To address these gaps, the research examined the relationship between the spatiotemporal patterns of social vulnerability, changes in biophysical properties, and the heat hazard in Reno, Nevada. We utilized CDC census data to map the Social Vulnerability Index (SVI) and Landsat satellite data from 1990 to 2023 to analyze Land Surface Temperature (LST) trends for a temporal comparative study of heat patterns. Additionally, we employed the Normalized Difference Vegetation Index (NDVI) for vegetation extent. The zonal statistics tool helped assess the influence of different land use features on surface temperatures. The results showed that regions identified as social vulnerability hotspots often coincided with areas highly exposed to extreme temperatures and vice versa. Our findings also revealed an extension of heat vulnerability hotspots from the urban core to suburban regions. We observed a decline in mean LST values in regions covered by vegetation and a rise in mean surface temperatures in regions encompassed with imperviousness. These findings underscore the need for increased vegetation for heat mitigation.
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来源期刊
CiteScore
8.00
自引率
8.50%
发文量
204
审稿时长
65 days
期刊介绍: The journal ''Remote Sensing Applications: Society and Environment'' (RSASE) focuses on remote sensing studies that address specific topics with an emphasis on environmental and societal issues - regional / local studies with global significance. Subjects are encouraged to have an interdisciplinary approach and include, but are not limited by: " -Global and climate change studies addressing the impact of increasing concentrations of greenhouse gases, CO2 emission, carbon balance and carbon mitigation, energy system on social and environmental systems -Ecological and environmental issues including biodiversity, ecosystem dynamics, land degradation, atmospheric and water pollution, urban footprint, ecosystem management and natural hazards (e.g. earthquakes, typhoons, floods, landslides) -Natural resource studies including land-use in general, biomass estimation, forests, agricultural land, plantation, soils, coral reefs, wetland and water resources -Agriculture, food production systems and food security outcomes -Socio-economic issues including urban systems, urban growth, public health, epidemics, land-use transition and land use conflicts -Oceanography and coastal zone studies, including sea level rise projections, coastlines changes and the ocean-land interface -Regional challenges for remote sensing application techniques, monitoring and analysis, such as cloud screening and atmospheric correction for tropical regions -Interdisciplinary studies combining remote sensing, household survey data, field measurements and models to address environmental, societal and sustainability issues -Quantitative and qualitative analysis that documents the impact of using remote sensing studies in social, political, environmental or economic systems
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