The fractal characteristics and risk indicators of urban ecological environment vulnerability evolution

IF 7.3 2区 环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2025-05-01 Epub Date: 2025-01-18 DOI:10.1016/j.ecoinf.2025.103033
Xuefeng Wu , Xing Huang , Sidai Guo
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Abstract

Exploring whether the evolution system of urban ecological environment vulnerability had fractal characteristics is an important basis for objectively evaluating the risk of urban ecological environment vulnerability and improving the reliability of risk warning. Existing research focused on explaining the performance characteristics of complex systems through single scale and multi-dimensional features, and could not dynamically depict the infinite fine approximation characteristics between local development and overall situation of complex systems, resulting in weak reliability of urban ecological environment vulnerability risk warning. Introducing fractal theory into the study of the characteristics of urban ecological environment vulnerability systems, a systematic framework for judging the fractal characteristics of urban ecological environment vulnerability evolution was established around the nonlinear, long-range correlation, and scale-free aspects of fractal theory. Based on the 20 years panel data of 35 cities in China, the fractal characteristics of urban ecological environment vulnerability systems were verified, and the relationship between Hurst index and fractal dimension in continuous time windows was further established. The complexity of urban ecological environment vulnerability systems in continuous time windows was accurately characterized by fractal dimension, providing effective indicators for risk assessment. The results showed that the vulnerability evolution system of urban ecological environment had complexed nonlinear characteristics, and the random Hurst indexes calculated by rescaled range analysis (R/S) was close to 0.5, indicating that the vulnerability evolution system had long-term memory. The vulnerability evolution system described by the random walk model follows a power-law relationship, indicating that the vulnerability evolution system had scale-free self-similarity characteristics. The risk level of the vulnerability evolution system described by the fractal dimension is consistent with reality, indicating that the fractal dimension had strong indicative effect on the risk judgment of the vulnerability evolution system.
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城市生态环境脆弱性演化的分形特征及风险指标
探讨城市生态环境脆弱性演化系统是否具有分形特征,是客观评价城市生态环境脆弱性风险、提高风险预警可靠性的重要依据。现有研究多侧重于通过单一尺度和多维特征来解释复杂系统的性能特征,无法动态描述复杂系统局部发展与整体状况之间的无限精细逼近特征,导致城市生态环境脆弱性风险预警的可靠性较弱。将分形理论引入城市生态环境脆弱性系统特征的研究中,围绕分形理论的非线性、长程关联和无标度方面,建立了判断城市生态环境脆弱性演化分形特征的系统框架。基于中国35个城市20年面板数据,验证了城市生态环境脆弱性系统的分形特征,并进一步建立了连续时间窗内Hurst指数与分形维数的关系。用分形维数准确表征了连续时间窗内城市生态环境脆弱性系统的复杂性,为风险评价提供了有效的指标。结果表明:城市生态环境脆弱性演化系统具有复杂的非线性特征,经重新标度极差分析计算的随机Hurst指数(R/S)接近0.5,表明脆弱性演化系统具有长期记忆性;随机游走模型描述的脆弱性演化系统遵循幂律关系,表明脆弱性演化系统具有无标度的自相似特征。分形维数描述的脆弱性演化系统的风险等级与实际情况一致,说明分形维数对脆弱性演化系统的风险判断具有较强的指示作用。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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