INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING
The research is aimed at the development and testing of the system for operational river flood forecasting. The system is based on the use of a complex of hydrological and hydrodynamic models, as well as in situ and satellite data integrated processing, and implemented on the basis of a service-orie...
Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2019
|
Subjects: | |
Online Access: | https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019 https://doaj.org/article/0fb7db32d2b6457694bc73c609132b5c |
id |
ftdoajarticles:oai:doaj.org/article:0fb7db32d2b6457694bc73c609132b5c |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:0fb7db32d2b6457694bc73c609132b5c 2023-05-15T16:02:58+02:00 INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING V. A. Zelentsov S. A. Potryasaev I. Y. Pimanov M. R. Ponomarenko 2019-08-01T00:00:00Z https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019 https://doaj.org/article/0fb7db32d2b6457694bc73c609132b5c EN eng Copernicus Publications https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/477/2019/isprs-archives-XLII-3-W8-477-2019.pdf https://doaj.org/toc/1682-1750 https://doaj.org/toc/2194-9034 doi:10.5194/isprs-archives-XLII-3-W8-477-2019 1682-1750 2194-9034 https://doaj.org/article/0fb7db32d2b6457694bc73c609132b5c The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W8, Pp 477-483 (2019) Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 article 2019 ftdoajarticles https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019 2022-12-31T10:28:16Z The research is aimed at the development and testing of the system for operational river flood forecasting. The system is based on the use of a complex of hydrological and hydrodynamic models, as well as in situ and satellite data integrated processing, and implemented on the basis of a service-oriented architecture. A distinctive feature of the system is the complete automation of the entire simulation cycle - from loading initial data to interpreting results, visualizing and alerting interested parties. The theoretical basis for ensuring the coordinated functioning of all system components is the qualimetry of models and polymodel complexes. The practical implementation is carried out using open codes, free software and GIS platform «RegionView». All the complexity associated with the use of heterogeneous geographically distributed information resources is hidden from the user. This allows the system to be used not only by specialists in GIS, IT or relevant subject area, but also by other users interested in the results of flood monitoring and forecasting - emergency services, local authorities, commercial organizations and citizens. The described technologies and the system of operational flood forecasting were tested in the Russian Federation on the Northern Dvina River, from the city of Velikiy Ustyug to the city of Kotlas in 2014-2019. Given test results prove that the application of such an approach ensures full implementation of the required functionality of operational flood forecasting systems, the fulfilment of the basic requirements for such systems and also indicate the possibility of a widespread use of such systems authorities and emergency services. Article in Journal/Newspaper dvina Directory of Open Access Journals: DOAJ Articles The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W8 477 483 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
spellingShingle |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 V. A. Zelentsov S. A. Potryasaev I. Y. Pimanov M. R. Ponomarenko INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING |
topic_facet |
Technology T Engineering (General). Civil engineering (General) TA1-2040 Applied optics. Photonics TA1501-1820 |
description |
The research is aimed at the development and testing of the system for operational river flood forecasting. The system is based on the use of a complex of hydrological and hydrodynamic models, as well as in situ and satellite data integrated processing, and implemented on the basis of a service-oriented architecture. A distinctive feature of the system is the complete automation of the entire simulation cycle - from loading initial data to interpreting results, visualizing and alerting interested parties. The theoretical basis for ensuring the coordinated functioning of all system components is the qualimetry of models and polymodel complexes. The practical implementation is carried out using open codes, free software and GIS platform «RegionView». All the complexity associated with the use of heterogeneous geographically distributed information resources is hidden from the user. This allows the system to be used not only by specialists in GIS, IT or relevant subject area, but also by other users interested in the results of flood monitoring and forecasting - emergency services, local authorities, commercial organizations and citizens. The described technologies and the system of operational flood forecasting were tested in the Russian Federation on the Northern Dvina River, from the city of Velikiy Ustyug to the city of Kotlas in 2014-2019. Given test results prove that the application of such an approach ensures full implementation of the required functionality of operational flood forecasting systems, the fulfilment of the basic requirements for such systems and also indicate the possibility of a widespread use of such systems authorities and emergency services. |
format |
Article in Journal/Newspaper |
author |
V. A. Zelentsov S. A. Potryasaev I. Y. Pimanov M. R. Ponomarenko |
author_facet |
V. A. Zelentsov S. A. Potryasaev I. Y. Pimanov M. R. Ponomarenko |
author_sort |
V. A. Zelentsov |
title |
INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING |
title_short |
INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING |
title_full |
INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING |
title_fullStr |
INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING |
title_full_unstemmed |
INTEGRATED USE OF GIS, REMOTE SENSING DATA AND A SET OF MODELS FOR OPERATIONAL FLOOD FORECASTING |
title_sort |
integrated use of gis, remote sensing data and a set of models for operational flood forecasting |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019 https://doaj.org/article/0fb7db32d2b6457694bc73c609132b5c |
genre |
dvina |
genre_facet |
dvina |
op_source |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W8, Pp 477-483 (2019) |
op_relation |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W8/477/2019/isprs-archives-XLII-3-W8-477-2019.pdf https://doaj.org/toc/1682-1750 https://doaj.org/toc/2194-9034 doi:10.5194/isprs-archives-XLII-3-W8-477-2019 1682-1750 2194-9034 https://doaj.org/article/0fb7db32d2b6457694bc73c609132b5c |
op_doi |
https://doi.org/10.5194/isprs-archives-XLII-3-W8-477-2019 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XLII-3/W8 |
container_start_page |
477 |
op_container_end_page |
483 |
_version_ |
1766398626791161856 |