{"title":"城市洪水管理的智能解决方案:德国城市的文献、趋势和应用综述","authors":"Neven Josipovic, Kathrin Viergutz","doi":"10.3390/smartcities6020046","DOIUrl":null,"url":null,"abstract":"The paper outlines the challenges municipalities face when it comes to dealing with flood disasters and identifies general concepts for smart solutions that address the challenges and help cities to improve their flood resilience. It follows a unique and novel transdisciplinary approach in that it condenses the scientific literature to the most salient concepts in the fields of big data, digital twins, and remote sensing and support. As for big data applications, their main improvement to conventional flood management stems from the integration of different data streams to improve situational awareness. Digital twins not only help to improve the speed and quality of management decisions by visualizing complex data in a simple and accessible way during a disaster; they can also simulate the evolution of a disaster while taking into account the unique characteristics and conditions of a city, thereby acting as a critical element of an early warning system. Remote sensing and support with UAV solve the problem of physical and informational access to a disaster zone. In conclusion, the paper shows that smart solutions can be of great benefit for flood management, and that cities should strive to enhance existing infrastructure and processes with digital technologies.","PeriodicalId":34482,"journal":{"name":"Smart Cities","volume":" ","pages":""},"PeriodicalIF":7.0000,"publicationDate":"2023-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Smart Solutions for Municipal Flood Management: Overview of Literature, Trends, and Applications in German Cities\",\"authors\":\"Neven Josipovic, Kathrin Viergutz\",\"doi\":\"10.3390/smartcities6020046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper outlines the challenges municipalities face when it comes to dealing with flood disasters and identifies general concepts for smart solutions that address the challenges and help cities to improve their flood resilience. It follows a unique and novel transdisciplinary approach in that it condenses the scientific literature to the most salient concepts in the fields of big data, digital twins, and remote sensing and support. As for big data applications, their main improvement to conventional flood management stems from the integration of different data streams to improve situational awareness. Digital twins not only help to improve the speed and quality of management decisions by visualizing complex data in a simple and accessible way during a disaster; they can also simulate the evolution of a disaster while taking into account the unique characteristics and conditions of a city, thereby acting as a critical element of an early warning system. Remote sensing and support with UAV solve the problem of physical and informational access to a disaster zone. In conclusion, the paper shows that smart solutions can be of great benefit for flood management, and that cities should strive to enhance existing infrastructure and processes with digital technologies.\",\"PeriodicalId\":34482,\"journal\":{\"name\":\"Smart Cities\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2023-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Smart Cities\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.3390/smartcities6020046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Cities","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.3390/smartcities6020046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Smart Solutions for Municipal Flood Management: Overview of Literature, Trends, and Applications in German Cities
The paper outlines the challenges municipalities face when it comes to dealing with flood disasters and identifies general concepts for smart solutions that address the challenges and help cities to improve their flood resilience. It follows a unique and novel transdisciplinary approach in that it condenses the scientific literature to the most salient concepts in the fields of big data, digital twins, and remote sensing and support. As for big data applications, their main improvement to conventional flood management stems from the integration of different data streams to improve situational awareness. Digital twins not only help to improve the speed and quality of management decisions by visualizing complex data in a simple and accessible way during a disaster; they can also simulate the evolution of a disaster while taking into account the unique characteristics and conditions of a city, thereby acting as a critical element of an early warning system. Remote sensing and support with UAV solve the problem of physical and informational access to a disaster zone. In conclusion, the paper shows that smart solutions can be of great benefit for flood management, and that cities should strive to enhance existing infrastructure and processes with digital technologies.
期刊介绍:
Smart Cities (ISSN 2624-6511) provides an advanced forum for the dissemination of information on the science and technology of smart cities, publishing reviews, regular research papers (articles) and communications in all areas of research concerning smart cities. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, with no restriction on the maximum length of the papers published so that all experimental results can be reproduced.