基于VSD框架的地质灾害脆弱性全链综合评价与多情景模拟——以云南省为例

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Li Xu , Shucheng Tan , Runyang Li
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引用次数: 0

摘要

随着全球气候变化和人为干扰地质环境的加剧,地质灾害发生的频率和破坏性日益加剧。因此,科学评估和预测地质灾害,制定防灾减灾政策,对促进区域可持续发展具有重要意义。然而,目前的地质灾害评价往往忽视了承灾体的适应能力,主要侧重于不同区域在特定时间点的横断面比较,对时空动态的关注不足。本文以中国地质灾害最严重的地区之一云南省为研究对象。在脆弱性范围图(VSD)框架的基础上,建立了一个评估过去和现在地质灾害脆弱性并模拟未来情景的全链动态分析框架。该框架综合了暴露度、敏感性和适应能力,建立了反映该地区独特经济和生态特征的指标体系。利用多种数学模型,定量分析了2000 - 2020年云南省gdp的空间分异及其演化趋势。在此基础上,结合有序加权平均(OWA)算法和粒子群优化-支持向量机(PSO-SVM)模型,模拟了2030-2050年以环境为导向、以现状为导向和以经济为导向的3种发展偏好下的未来GDV情景。结果表明:2030—2050年云南省gdp总体处于中高水平,呈现“以昆明为中心,向外呈放射状增加”的空间分布格局;从时间上看,GDV呈先上升后下降的趋势,区域主要聚集为高-高和低-低GDV区。此外,预测的GDV结果因不同的发展偏好而异。在以经济为导向的情景下,国内生产总值主要稳定在中等水平,而在以环境为导向的情景下,国内生产总值增长最快,但随后出现小幅反弹。这些发现表明,将经济发展或环境保护放在首位的单一焦点决策会导致不可持续的gdp改善。因此,决策者在制定不同地区、不同阶段的战略发展目标时,应考虑不同情景下的gdp波动,确保本地化和适应性调整。本研究旨在从云南案例中为全球地质灾害易发地区的灾害治理与区域经济发展的平衡提供启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Full-chain comprehensive assessment and multi-scenario simulation of geological disaster vulnerability based on the VSD framework: a case study of Yunnan province in China
With increasing global climate change and human-induced disturbances to geological environments, the frequency and destructiveness of geological disasters are intensifying. Thus, scientifically assessing and predicting geological disasters and formulating disaster prevention and mitigation policies are of critical importance for promoting regional sustainable development. However, current evaluations of geological disasters often overlook the adaptive capacity of the disaster-bearing body and focus primarily on cross-sectional comparisons across different regions at specific time points, with insufficient attention to spatiotemporal dynamics. This study selects Yunnan Province, one of the most severely affected regions by geological disasters in China, as a case study. Based on the Vulnerability Scoping Diagram (VSD) framework, a full-chain dynamic analysis framework was developed to assess past and present geological disaster vulnerability (GDV) and simulate future scenarios. This framework integrates exposure, sensitivity, and adaptive capacity to establish an indicator system that reflects the unique economic and ecological characteristics of the region. Using various mathematical models, the spatial differentiation and evolutionary trends of GDV in Yunnan Province from 2000 to 2020 were quantitatively analyzed. Furthermore, the Ordered Weighted Averaging (OWA) algorithm and the Partical Swarm Optimization-Support Vector Machine (PSO-SVM) model were combined to simulate future GDV scenarios for 2030–2050 under three development preferences: environment oriented, status quo, and economically oriented. The results show that from 2030 to 2050, GDV in Yunnan Province is generally at a medium–high level, with a spatial distribution pattern of “centered on Kunming, with a radial increase extending outward.” Temporally, GDV exhibits an initial increase followed by a decline, with regions clustering primarily as high-high and low-low GDV areas. Additionally, the predicted GDV outcomes vary across different development preferences. In the economically oriented scenario, GDV predominantly stabilizes at moderate levels, while in the environment oriented scenario, GDV improves the fastest but subsequently shows a slight rebound. These findings suggest that single-focus decisions prioritizing either economic development or environmental protection result in unsustainable GDV improvements. Therefore, decision-makers should consider GDV fluctuations under various scenarios when setting strategic development goals for different regions and phases, ensuring localized and adaptive adjustments. This study aims to provide insights from the Yunnan case for balancing disaster governance and regional economic development in global regions prone to geological disasters.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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