开源GIS软件和开放空间数据对气候变化下滑坡风险和危害重新评估的贡献

IF 0.7 Q4 GEOGRAPHY, PHYSICAL
V. Baiocchi, F. Vatore, M. Lombardi, F. Monti, R. Onori
{"title":"开源GIS软件和开放空间数据对气候变化下滑坡风险和危害重新评估的贡献","authors":"V. Baiocchi, F. Vatore, M. Lombardi, F. Monti, R. Onori","doi":"10.21163/gt_2021.163.12","DOIUrl":null,"url":null,"abstract":": Recent events, including the floods in central Europe in May 2021, have highlighted how climate change is giving rise to scenarios that were neither foreseen nor predictable. One problem this poses is the need to rethink the logic of various environmental constraints that are often based on return times of 20-50 years or 100-200. A single event does not change the statistical expectations for the recurrence of the event itself, but the recurrence of several extraordinary events in a few years is a clear indication of a changing trend. The prevention of the effects of such events is based on the definition of the areas at greater or lesser risk specifically based on the return times of the exceptional events, so it is foreseeable that a series of territorial plans, mostly carried out a few decades ago, will have to be updated or re-executed from scratch. These reworkings will be able to take advantage of the open-source software and open spatial data that have become available in the meantime, facilitating the entire process, and making it more open and shareable. In this paper we tested on a real case (the May 1999 pyroclastic flows in Campania, southern Italy) the actual possibility of implementing a model for forecasting such events using only open-source software and open data. It has been demonstrated that the entire process can be carried out using only open-source resources and it has been verified that the predictions of the hazard and risk model obtained with only input data prior to the event, give an output prediction that is significantly coincident with the events that actually occurred as documented by the authorities.","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Contribution of Open-Source GIS Software and Open Spatial Data for the Re-Evaluation of Landslide Risk and Hazard in View of Climate Change\",\"authors\":\"V. Baiocchi, F. Vatore, M. Lombardi, F. Monti, R. Onori\",\"doi\":\"10.21163/gt_2021.163.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Recent events, including the floods in central Europe in May 2021, have highlighted how climate change is giving rise to scenarios that were neither foreseen nor predictable. One problem this poses is the need to rethink the logic of various environmental constraints that are often based on return times of 20-50 years or 100-200. A single event does not change the statistical expectations for the recurrence of the event itself, but the recurrence of several extraordinary events in a few years is a clear indication of a changing trend. The prevention of the effects of such events is based on the definition of the areas at greater or lesser risk specifically based on the return times of the exceptional events, so it is foreseeable that a series of territorial plans, mostly carried out a few decades ago, will have to be updated or re-executed from scratch. These reworkings will be able to take advantage of the open-source software and open spatial data that have become available in the meantime, facilitating the entire process, and making it more open and shareable. In this paper we tested on a real case (the May 1999 pyroclastic flows in Campania, southern Italy) the actual possibility of implementing a model for forecasting such events using only open-source software and open data. It has been demonstrated that the entire process can be carried out using only open-source resources and it has been verified that the predictions of the hazard and risk model obtained with only input data prior to the event, give an output prediction that is significantly coincident with the events that actually occurred as documented by the authorities.\",\"PeriodicalId\":45100,\"journal\":{\"name\":\"Geographia Technica\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geographia Technica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21163/gt_2021.163.12\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographia Technica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21163/gt_2021.163.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
引用次数: 4

摘要

:最近发生的事件,包括2021年5月中欧发生的洪水,突显了气候变化如何导致既无法预见也无法预测的情况。这带来的一个问题是需要重新思考各种环境限制的逻辑,这些限制通常基于20-50年或100-200年的返回时间。单一事件不会改变对事件本身复发的统计预期,但几年内几起非常事件的复发清楚地表明了一种变化趋势。预防此类事件的影响是基于风险较大或较小地区的定义,特别是基于特殊事件的返回时间,因此可以预见的是,一系列领土计划,主要是几十年前实施的,将不得不从头开始更新或重新执行。这些重新工作将能够利用在此期间可用的开源软件和开放空间数据,促进整个过程,并使其更加开放和共享。在本文中,我们在一个真实的案例(1999年5月意大利南部坎帕尼亚的火山碎屑流)中测试了仅使用开源软件和开放数据来实现预测此类事件的模型的实际可能性。已经证明,整个过程可以仅使用开源资源进行,并且已经验证,在事件发生前仅使用输入数据获得的危害和风险模型的预测,给出的输出预测与当局记录的实际发生的事件非常一致。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Contribution of Open-Source GIS Software and Open Spatial Data for the Re-Evaluation of Landslide Risk and Hazard in View of Climate Change
: Recent events, including the floods in central Europe in May 2021, have highlighted how climate change is giving rise to scenarios that were neither foreseen nor predictable. One problem this poses is the need to rethink the logic of various environmental constraints that are often based on return times of 20-50 years or 100-200. A single event does not change the statistical expectations for the recurrence of the event itself, but the recurrence of several extraordinary events in a few years is a clear indication of a changing trend. The prevention of the effects of such events is based on the definition of the areas at greater or lesser risk specifically based on the return times of the exceptional events, so it is foreseeable that a series of territorial plans, mostly carried out a few decades ago, will have to be updated or re-executed from scratch. These reworkings will be able to take advantage of the open-source software and open spatial data that have become available in the meantime, facilitating the entire process, and making it more open and shareable. In this paper we tested on a real case (the May 1999 pyroclastic flows in Campania, southern Italy) the actual possibility of implementing a model for forecasting such events using only open-source software and open data. It has been demonstrated that the entire process can be carried out using only open-source resources and it has been verified that the predictions of the hazard and risk model obtained with only input data prior to the event, give an output prediction that is significantly coincident with the events that actually occurred as documented by the authorities.
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
Geographia Technica
Geographia Technica GEOGRAPHY, PHYSICAL-
CiteScore
2.30
自引率
14.30%
发文量
34
期刊介绍: Geographia Technica is a journal devoted to the publication of all papers on all aspects of the use of technical and quantitative methods in geographical research. It aims at presenting its readers with the latest developments in G.I.S technology, mathematical methods applicable to any field of geography, territorial micro-scalar and laboratory experiments, and the latest developments induced by the measurement techniques to the geographical research. Geographia Technica is dedicated to all those who understand that nowadays every field of geography can only be described by specific numerical values, variables both oftime and space which require the sort of numerical analysis only possible with the aid of technical and quantitative methods offered by powerful computers and dedicated software. Our understanding of Geographia Technica expands the concept of technical methods applied to geography to its broadest sense and for that, papers of different interests such as: G.l.S, Spatial Analysis, Remote Sensing, Cartography or Geostatistics as well as papers which, by promoting the above mentioned directions bring a technical approach in the fields of hydrology, climatology, geomorphology, human geography territorial planning are more than welcomed provided they are of sufficient wide interest and relevance.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信