从卫星夜间光照数据监测马来西亚半岛城市洪水脆弱性的时空变化

IF 2.4 3区 环境科学与生态学 Q2 ENGINEERING, CIVIL Journal of Hydro-environment Research Pub Date : 2024-05-26 DOI:10.1016/j.jher.2024.05.003
Ghaith Falah Ziarh , Eun-Sung Chung , Ashraf Dewan , Md Asaduzzaman , Mohammed Magdy Hamed , Zafar Iqbal , Shamsuddin Shahid
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引用次数: 0

摘要

城市洪水脆弱性监测需要定期收集大量的社会经济和环境数据。然而,收集如此大量的数据对评估洪水脆弱性的变化造成了很大的限制。本研究提出了一种新方法,利用卫星夜光(NTL)数据监测城市洪水脆弱性的时空变化。马来西亚半岛被选为研究地区,因为洪水是该地区最具破坏性且经常发生的现象。该研究根据单一年份的社会经济和环境数据制定了洪水脆弱性指数(FVI)。然后,利用自适应神经模糊推理系统(ANFIS)机器学习算法将该 FVI 与 NTL 数据联系起来。利用行政单位规模的数据对模型进行了校准和验证,随后利用 NTL 数据以 10 千米的空间分辨率预测了 2000-2018 年的森林植被覆盖率。最后,使用 Mann-Kendall 趋势法评估了不同网格点上估计的洪水脆弱性指数的变化,以确定洪水脆弱性在时间和空间上的变化。结果显示,NTL 与人口密度、基尼系数和外国公民比例等洪水脆弱性因素之间存在非线性关系。ANFIS 技术在根据 NTL 数据估算 FVI 方面表现出色,归一化均方根误差为 0.68,Kling-Gupta 效率为 0.73。洪水脆弱性指数显示,西部沿海城市化地区的洪水脆弱性较高(洪水脆弱性指数在 0.5 至 0.54 之间),这与马来西亚半岛洪水损失的主要成因地区非常吻合。趋势评估显示,从 2000 年到 2018 年,研究区域的洪水脆弱性显著增加。趋势的空间分布表明,城市化沿海平原的洪水脆弱性指数有所上升,尤其是在快速发展的西部和南部城市地区。结果表明,该技术在利用免费提供的卫星近地轨道数据进行城市洪水脆弱性评估方面具有潜力。
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Monitoring spatiotemporal changes in urban flood vulnerability of Peninsular Malaysia from satellite nighttime light data

Urban flood vulnerability monitoring requires a large amount of socioeconomic and environmental data collected at regular time intervals. However, collecting such a large volume of data poses a significant constraint in assessing changes in flood vulnerability. This study proposed a novel method to monitor spatiotemporal changes in urban flood vulnerability from satellite nighttime light (NTL) data. Peninsular Malaysia was chosen as the research region as floods are the most devastating and recurrent phenomena in the region. The study developed a flood vulnerability index (FVI) based on socioeconomic and environmental data from a single year. This FVI was then linked to NTL data using an Adaptive neuro-fuzzy inference system (ANFIS) machine learning algorithm. The model was calibrated and validated with administrative unit scale data and subsequently used to predict FVI at a spatial resolution of 10 km for 2000–2018 using NTL data. Finally, changes in estimated FVI at different grid points were evaluated using the Mann-Kendall trend method to determine changes in flood vulnerability over time and space. Results showed a nonlinear relationship between NTL and flood vulnerability factors such as population density, Gini coefficient, and percentage of foreign nationals. The ANFIS technique performed well in estimating FVI from NTL data with a normalized root-mean-square error of 0.68 and Kling-Gupta Efficiency of 0.73. The FVI revealed a high vulnerability in the urbanized western coastal region (FVI ∼ 0.5 to 0.54), which matches well with major contributing regions to flood losses in Peninsular Malaysia. Trend assessment showed a significant increase in flood vulnerability in the study area from 2000 to 2018. The spatial distribution of the trend indicated an increase in FVI in the urbanized coastal plains, particularly in rapidly developing western and southern urban regions. The results indicate the potential of the technique in urban flood vulnerability assessment using freely available satellite NTL data.

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来源期刊
Journal of Hydro-environment Research
Journal of Hydro-environment Research ENGINEERING, CIVIL-ENVIRONMENTAL SCIENCES
CiteScore
5.80
自引率
0.00%
发文量
34
审稿时长
98 days
期刊介绍: The journal aims to provide an international platform for the dissemination of research and engineering applications related to water and hydraulic problems in the Asia-Pacific region. The journal provides a wide distribution at affordable subscription rate, as well as a rapid reviewing and publication time. The journal particularly encourages papers from young researchers. Papers that require extensive language editing, qualify for editorial assistance with American Journal Experts, a Language Editing Company that Elsevier recommends. Authors submitting to this journal are entitled to a 10% discount.
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