Geological hazard risk assessment and rural settlement site selection using GIS and random forest algorithm

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-09-04 DOI:10.1016/j.ecolind.2024.112554
Bo Shu, Yang Liu, Chen Wang, Hao Zhang, Majid Amani-Beni, Ruizhi Zhang
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Abstract

It has been over 20 years since the world entered the 21st century, and the economy and science and technology of various countries have developed rapidly. However, the threat and losses of natural disasters to humanity have never diminished. Global disaster risk is increasing year by year in new forms and scales. Sichuan Province, as one of the provinces with the highest number of geological disasters in China, and its rural settlements, as a high-risk area for geological disasters, are the key and difficult points for disaster prevention in China. This article selects rural settlements in Yibin City, Sichuan Province as the research area. By analyzing historical disasters and local geographical characteristics, statistical methods are used to screen and construct a geological hazard risk assessment model for rural settlements in Yibin City. A quantitative and qualitative analysis was conducted on the key indicators of geological hazard risk in rural settlements in Yibin City. Multiple models were used to comprehensively evaluate the risk of geological hazards in rural settlements in Yibin City and a zoning study was conducted. Then, the accuracy of different models was compared, and the random forest model was selected as the computation model for disaster avoidance site selection in rural settlements in Yibin City. Thus obtaining the zoning map of geological hazard risk level in Yibin City. Finally, we conducted a site selection analysis for Rural settlements with different levels of geological hazard risk. And propose strategies for optimizing site selection.
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利用地理信息系统和随机森林算法进行地质灾害风险评估和农村居民点选址
世界进入 21 世纪已经 20 多年了,各国的经济和科学技术发展迅速。然而,自然灾害给人类带来的威胁和损失却从未减少。全球灾害风险正以新的形式和规模逐年增加。四川省作为中国地质灾害高发省份之一,其农村居民点作为地质灾害高发区,是中国防灾的重点和难点。本文选择四川省宜宾市农村居民点作为研究区域。通过分析历史灾害和当地地理特征,运用统计方法筛选并构建了宜宾市农村居民点地质灾害危险性评估模型。对宜宾市农村居民点地质灾害危险性的主要指标进行了定量和定性分析。采用多种模型对宜宾市农村居民点地质灾害危险性进行综合评价,并进行分区研究。然后,比较不同模型的准确性,选择随机森林模型作为宜宾市农村居民点避灾选址的计算模型。从而得到了宜宾市地质灾害风险等级区划图。最后,我们对不同地质灾害风险等级的农村居民点进行了选址分析。并提出优化选址的策略。
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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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