Applications of Advanced Technologies in the Development of Urban Flood Models
Over the past 10 years, urban floods have increased in frequency because of extreme rainfall events and urbanization development. To reduce the losses caused by floods, various urban flood models have been developed to realize urban flood early warning. Using CiteSpace software’s co-citation analysi...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/15/4/622 |
| _version_ | 1797617796033544192 |
|---|---|
| author | Yuna Yan Na Zhang Han Zhang |
| author_facet | Yuna Yan Na Zhang Han Zhang |
| author_sort | Yuna Yan |
| collection | DOAJ |
| description | Over the past 10 years, urban floods have increased in frequency because of extreme rainfall events and urbanization development. To reduce the losses caused by floods, various urban flood models have been developed to realize urban flood early warning. Using CiteSpace software’s co-citation analysis, this paper reviews the characteristics of different types of urban flood models and summarizes state-of-the-art technologies for flood model development. Artificial intelligence (AI) technology provides an innovative approach to the construction of data-driven models; nevertheless, developing an AI model coupled with flooding processes represents a worthwhile challenge. Big data (such as remote sensing, crowdsourcing geographic, and Internet of Things data), as well as spatial data management and analysis methods, provide critical data and data processing support for model construction, evaluation, and application. The further development of these models and technologies is expected to improve the accuracy and efficiency of urban flood simulations and provide support for the construction of a multi-scale distributed smart flood simulation system. |
| first_indexed | 2024-03-11T07:59:51Z |
| format | Article |
| id | doaj.art-88670709fac34621a05615a7afd9fa69 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-11T07:59:51Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-88670709fac34621a05615a7afd9fa692023-11-16T23:51:13ZengMDPI AGWater2073-44412023-02-0115462210.3390/w15040622Applications of Advanced Technologies in the Development of Urban Flood ModelsYuna Yan0Na Zhang1Han Zhang2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, ChinaOver the past 10 years, urban floods have increased in frequency because of extreme rainfall events and urbanization development. To reduce the losses caused by floods, various urban flood models have been developed to realize urban flood early warning. Using CiteSpace software’s co-citation analysis, this paper reviews the characteristics of different types of urban flood models and summarizes state-of-the-art technologies for flood model development. Artificial intelligence (AI) technology provides an innovative approach to the construction of data-driven models; nevertheless, developing an AI model coupled with flooding processes represents a worthwhile challenge. Big data (such as remote sensing, crowdsourcing geographic, and Internet of Things data), as well as spatial data management and analysis methods, provide critical data and data processing support for model construction, evaluation, and application. The further development of these models and technologies is expected to improve the accuracy and efficiency of urban flood simulations and provide support for the construction of a multi-scale distributed smart flood simulation system.https://www.mdpi.com/2073-4441/15/4/622artificial intelligence technologyremote sensingcrowdsourcing geographic dataInternet of Thingsspatial data management and analysisdistributed smart flood simulation system |
| spellingShingle | Yuna Yan Na Zhang Han Zhang Applications of Advanced Technologies in the Development of Urban Flood Models Water artificial intelligence technology remote sensing crowdsourcing geographic data Internet of Things spatial data management and analysis distributed smart flood simulation system |
| title | Applications of Advanced Technologies in the Development of Urban Flood Models |
| title_full | Applications of Advanced Technologies in the Development of Urban Flood Models |
| title_fullStr | Applications of Advanced Technologies in the Development of Urban Flood Models |
| title_full_unstemmed | Applications of Advanced Technologies in the Development of Urban Flood Models |
| title_short | Applications of Advanced Technologies in the Development of Urban Flood Models |
| title_sort | applications of advanced technologies in the development of urban flood models |
| topic | artificial intelligence technology remote sensing crowdsourcing geographic data Internet of Things spatial data management and analysis distributed smart flood simulation system |
| url | https://www.mdpi.com/2073-4441/15/4/622 |
| work_keys_str_mv | AT yunayan applicationsofadvancedtechnologiesinthedevelopmentofurbanfloodmodels AT nazhang applicationsofadvancedtechnologiesinthedevelopmentofurbanfloodmodels AT hanzhang applicationsofadvancedtechnologiesinthedevelopmentofurbanfloodmodels |