城市化与气候驱动因素:调查波兰河流洪水的变化

IF 3.9 3区 环境科学与生态学 Q1 ENGINEERING, CIVIL Stochastic Environmental Research and Risk Assessment Pub Date : 2024-04-10 DOI:10.1007/s00477-024-02717-z
Nelson Venegas-Cordero, Luis Mediero, Mikołaj Piniewski
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引用次数: 0

摘要

冲积洪水是气候和人为因素相互作用造成的严重危害。最关键的人为因素是城市化,它增加了土地的不透水率。本研究采用配对流域法研究城市化与气候驱动因素对波兰河流洪水的影响。研究使用了四个选定的城市集水区及其非城市集水区 2020 年前的长期每日河流流量数据,以及基于过程的土壤与水评估工具 (SWAT) 模型生成的极端降水、土壤水分超标和融雪数据。使用哥白尼的两种先进产品对不透水面积的变化进行了评估,结果显示所有选定的城市集水区的不透水面积都呈持续上升趋势。采用了一系列统计方法来评估洪水的规模和频率以及洪水驱动因素的变化,包括佩蒂特检验、曼-肯德尔(MK)多时检验、泊松回归检验、多时相关分析和多元线性回归。MK 检验结果显示,在所分析的四对集水区中,有三对的城市集水区(增加)和非城市集水区(无变化)的表现截然不同。只有一个城市集水区的洪水频率明显增加。多元回归分析表明,非城市集水区的洪水与气候驱动因素之间的关系始终强于城市集水区,尽管残差分析的结果在统计上并不显著。总之,城市化对洪水影响的证据是适度的。这项研究强调了在分析波兰河流洪水动态时同时评估气候因素和人为因素的重要性。
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Urbanization vs. climate drivers: investigating changes in fluvial floods in Poland

Fluvial floods are a severe hazard resulting from the interplay of climatic and anthropogenic factors. The most critical anthropogenic factor is urbanization, which increases land imperviousness. This study uses the paired catchment approach to investigate the effect of urbanization vs. climate drivers on river floods in Poland. Long-term daily river flow data until 2020 was used for four selected urban catchments and their non-urban counterparts, along with extreme precipitation, soil moisture excess, and snowmelt data generated from the process-based Soil & Water Assessment Tool (SWAT) model. Changes in impervious areas were assessed using two state-of-the-art Copernicus products, revealing a consistent upward trend in imperviousness across all selected urban catchments. A range of statistical methods were employed to assess changes in the magnitude and frequency of floods and flood drivers, including the Pettitt test, the Mann Kendall (MK) multitemporal test, the Poisson regression test, multi-temporal correlation analysis and multiple linear regression. The MK test results showed a contrasting behaviour between urban (increases) and non-urban (no change) catchments for three of the four analysed catchment pairs. Flood frequency increased significantly in only one urban catchment. Multiple regression analysis revealed that non-urban catchments consistently exhibited stronger relationships between floods and climate drivers than the urban ones, although the results of residual analysis were not statistically significant. In summary, the evidence for the impact of urbanization on floods was found to be moderate. The study highlights the significance of evaluating both climatic and anthropogenic factors when analysing river flood dynamics in Poland.

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来源期刊
CiteScore
7.10
自引率
9.50%
发文量
189
审稿时长
3.8 months
期刊介绍: Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas: - Spatiotemporal analysis and mapping of natural processes. - Enviroinformatics. - Environmental risk assessment, reliability analysis and decision making. - Surface and subsurface hydrology and hydraulics. - Multiphase porous media domains and contaminant transport modelling. - Hazardous waste site characterization. - Stochastic turbulence and random hydrodynamic fields. - Chaotic and fractal systems. - Random waves and seafloor morphology. - Stochastic atmospheric and climate processes. - Air pollution and quality assessment research. - Modern geostatistics. - Mechanisms of pollutant formation, emission, exposure and absorption. - Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection. - Bioinformatics. - Probabilistic methods in ecology and population biology. - Epidemiological investigations. - Models using stochastic differential equations stochastic or partial differential equations. - Hazardous waste site characterization.
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