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一种基于地理信息系统的框架，用于评估城市系统中的热浪脆弱性和影响情景。

A GIS-based framework to assess heatwave vulnerability and impact scenarios in urban systems.

作者信息

D'Ambrosio Valeria, Di Martino Ferdinando, Miraglia Vittorio

机构信息

Dipartimento di Architettura, Università degli Studi di Napoli Federico II, Via Toledo 402, 80134, Naples, Italy.

Centro Interdipartimentale di Ricerca "A. Calza Bini", Università degli Studi di Napoli Federico II, Via Toledo 402, 80134, Naples, Italy.

出版信息

Sci Rep. 2023 Aug 11;13(1):13073. doi: 10.1038/s41598-023-39820-0.

DOI:10.1038/s41598-023-39820-0
PMID:37567928
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10421934/
Abstract

In this work, we propose a GIS-based platform aimed at the analysis of heatwave scenarios risks produced in urbanised environments, applied to assess vulnerability and impact heatwave scenarios. Our framework implements a hierarchical model that represents a good trade-off between forecast accuracy and portability in different urban fabrics, apart from the spatial scale of the data, using topographic and remote sensing spatial data provided by institutional agencies. The framework has been applied to two study areas: the dense city of Naples (Italy) and the intermediately populated city of Avellino (Italy) in order to evaluate its accuracy performances and portability in different urban fabrics. Our framework can be used by urban planners and decision makers as a tool to locate potential risk zones where it is necessary to implement climate-resilient solutions.

摘要

在这项工作中，我们提出了一个基于地理信息系统（GIS）的平台，旨在分析城市化环境中产生的热浪情景风险，用于评估热浪情景的脆弱性和影响。我们的框架实施了一个分层模型，该模型在不同城市结构中，除了数据的空间尺度外，在预测准确性和可移植性之间实现了良好的权衡，使用了机构提供的地形和遥感空间数据。该框架已应用于两个研究区域：意大利人口密集的那不勒斯市和意大利人口中等的阿韦利诺市，以评估其在不同城市结构中的准确性表现和可移植性。城市规划者和决策者可以使用我们的框架作为一种工具，来定位需要实施气候适应解决方案的潜在风险区域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/1cacdc33dd04/41598_2023_39820_Fig13_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/e0a42637e749/41598_2023_39820_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/116bed2a5da6/41598_2023_39820_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/b2ca6ac69cfd/41598_2023_39820_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/1b2ecc0006b3/41598_2023_39820_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/0c987716da53/41598_2023_39820_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/f1b7af813e6f/41598_2023_39820_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/c45e018cec13/41598_2023_39820_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/6283cebe8dd4/41598_2023_39820_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/1cacdc33dd04/41598_2023_39820_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/f7de96c4757a/41598_2023_39820_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/83f2dcfe9aff/41598_2023_39820_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/ba28bff51b24/41598_2023_39820_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/51b944650ef4/41598_2023_39820_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/e0a42637e749/41598_2023_39820_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/116bed2a5da6/41598_2023_39820_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/b2ca6ac69cfd/41598_2023_39820_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/1b2ecc0006b3/41598_2023_39820_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/0c987716da53/41598_2023_39820_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/f1b7af813e6f/41598_2023_39820_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/c45e018cec13/41598_2023_39820_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/6283cebe8dd4/41598_2023_39820_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9347/10421934/1cacdc33dd04/41598_2023_39820_Fig13_HTML.jpg

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