基于gis空间分析模型的滑坡风险识别与评价。案例研究:罗马尼亚Bicazu Ardelean

Nova Geodesia Pub Date : 2022-09-30 DOI:10.55779/ng2352
Andrei FÎRȚALĂ-CIONCUȚ, Ștefan Bilașco, I. Fodorean, S. Roșca, I. Vescan
{"title":"基于gis空间分析模型的滑坡风险识别与评价。案例研究:罗马尼亚Bicazu Ardelean","authors":"Andrei FÎRȚALĂ-CIONCUȚ, Ștefan Bilașco, I. Fodorean, S. Roșca, I. Vescan","doi":"10.55779/ng2352","DOIUrl":null,"url":null,"abstract":"Having a strong impact on human activities, landslides represent one of the most frequent hazards encountered throughout the world, but also in Romania. As a result, various exhaustive scientific approaches try to identify the areas affected by this phenomenon or at risk, among the proposed methods being those offered by G.I.S. techniques of spatial analysis in tandem with statistical methods. In the present study, G.I.S. methods of spatial analysis were used, with a focus on methodologies capable of determining the probability of occurrence of landslides, possible and viable within any territory. The analysis was carried out in the area of the commune of Bicazu Ardelean, Neamț County, Romania, where multiple areas with a medium-high and high probability of vulnerability were identified, by means of a deterministic “white-box” type model, followed by an evaluation from the point of view of the risk induced on the territorial infrastructures. Both the model and the evaluation generated suitable results, validated in G.I.S. and in the field. The obtained results attested the viability of the working method, as well as the potential of its application in any other areas with similar morphometric characteristics.","PeriodicalId":109211,"journal":{"name":"Nova Geodesia","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Identification and evaluation of the risk induced by landslides based on G.I.S. models of spatial analysis. Case study: Bicazu Ardelean, Romania\",\"authors\":\"Andrei FÎRȚALĂ-CIONCUȚ, Ștefan Bilașco, I. Fodorean, S. Roșca, I. Vescan\",\"doi\":\"10.55779/ng2352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Having a strong impact on human activities, landslides represent one of the most frequent hazards encountered throughout the world, but also in Romania. As a result, various exhaustive scientific approaches try to identify the areas affected by this phenomenon or at risk, among the proposed methods being those offered by G.I.S. techniques of spatial analysis in tandem with statistical methods. In the present study, G.I.S. methods of spatial analysis were used, with a focus on methodologies capable of determining the probability of occurrence of landslides, possible and viable within any territory. The analysis was carried out in the area of the commune of Bicazu Ardelean, Neamț County, Romania, where multiple areas with a medium-high and high probability of vulnerability were identified, by means of a deterministic “white-box” type model, followed by an evaluation from the point of view of the risk induced on the territorial infrastructures. Both the model and the evaluation generated suitable results, validated in G.I.S. and in the field. The obtained results attested the viability of the working method, as well as the potential of its application in any other areas with similar morphometric characteristics.\",\"PeriodicalId\":109211,\"journal\":{\"name\":\"Nova Geodesia\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nova Geodesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.55779/ng2352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nova Geodesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55779/ng2352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

山体滑坡对人类活动有着强烈的影响,是世界上最常见的灾害之一,在罗马尼亚也是如此。因此,各种详尽的科学方法试图确定受这一现象影响或处于危险中的地区,其中拟议的方法是由地质调查局空间分析技术与统计方法相结合提供的方法。在本研究中,使用了地理信息系统的空间分析方法,重点是能够确定在任何领土内可能发生和可行的滑坡发生概率的方法。分析是在罗马尼亚neamanian县Bicazu Ardelean公社地区进行的,通过确定性“白盒”型模型确定了多个具有中高和高脆弱性的地区,然后从对领土基础设施造成的风险的角度进行了评估。模型和评价结果均得到了较好的结果,并在gis和现场得到了验证。所获得的结果证明了该工作方法的可行性,以及其在具有类似形态特征的任何其他领域的应用潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Identification and evaluation of the risk induced by landslides based on G.I.S. models of spatial analysis. Case study: Bicazu Ardelean, Romania
Having a strong impact on human activities, landslides represent one of the most frequent hazards encountered throughout the world, but also in Romania. As a result, various exhaustive scientific approaches try to identify the areas affected by this phenomenon or at risk, among the proposed methods being those offered by G.I.S. techniques of spatial analysis in tandem with statistical methods. In the present study, G.I.S. methods of spatial analysis were used, with a focus on methodologies capable of determining the probability of occurrence of landslides, possible and viable within any territory. The analysis was carried out in the area of the commune of Bicazu Ardelean, Neamț County, Romania, where multiple areas with a medium-high and high probability of vulnerability were identified, by means of a deterministic “white-box” type model, followed by an evaluation from the point of view of the risk induced on the territorial infrastructures. Both the model and the evaluation generated suitable results, validated in G.I.S. and in the field. The obtained results attested the viability of the working method, as well as the potential of its application in any other areas with similar morphometric characteristics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effect of soil and water conservation practices and slope gradient on organic carbon stocks micronutrients: A case study on Kulkullessa sub-watershed, Eastern Ethiopia Introduction pages, Nova Geodesia 4(1), 2024 The cross-disciplinary influence of aerial measurement techniques: Exploring archaeological studies through photogrammetry and LiDAR The complementary role of indigenous knowledge systems in landslide disaster management in Kanungu District, Uganda Exploring distinctive morphological traits in Beilschmiedia mannii georeferenced by GPS: Implication for conservation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1