Proposing a flood management solution based on optimal usage allocation via genetic algorithm
Introduction: One of the most influential factors in the occurence of a flood in the spillway basins is proposed to be the unsuitable or exorbitanceuse use of lands. One of the flood management solutions is to optimize the land use allocation by considering multiple objectives and parameters. In thi...
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Shahid Beheshti University
2019-06-01
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| Series: | علوم محیطی |
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| Online Access: | https://envs.sbu.ac.ir/article_98050_cf29b4ad7420e793026bcc2711d7a090.pdf |
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| author | Davood Mokhtari Aliakbar Rasouli Monire Moosabeigi |
| author_facet | Davood Mokhtari Aliakbar Rasouli Monire Moosabeigi |
| author_sort | Davood Mokhtari |
| collection | DOAJ |
| description | Introduction: One of the most influential factors in the occurence of a flood in the spillway basins is proposed to be the unsuitable or exorbitanceuse use of lands. One of the flood management solutions is to optimize the land use allocation by considering multiple objectives and parameters. In this regard, GIS capabilities could be applied as one of the novel scientific and technical methods along with taking the advantage of Artifcial intelligence capabilities, such as multi-objective genetic algorithm. This research aimed to model the land use allocation in GIS platform using NSGA-II algorithm to monitor flood crisis. Material and methods: In the designed model, using the interruptive method, land’s ecological capability was extracted and then using NSGA-II algorithm capabilities, optimal applications were obtained for various parts of the area in order to decrease the flood height as well as to increase the economic profit with the least difficult change of utilities. In the designed model, the curve number parameter (CN) was used to investigate the role of land use on the flood. Results and discussion: The results of the designed model are represented in several optimal patterns that have the same applicable value. Based on the present conditions of the studied region and the expert’s opinion, the optimal model could be executed. To evaluate the capability of the designed model, the Taleghan basin was selected which is located in Alborz Province; CN range of the study area was 83 in the searching space, while in designed output models, the lowest amount of CN, with 11% decrease compared to the current situation, was about 74.5%. Also, the economic profit growth was 52.19% in this land synthetic pattern. Conclusion: The results and achievements of this study include proposing a land use optimization model based on a multi-objective genetic algorithm for flood reduction, integrated river basin management, as well as programming in an expansive form to use in future studies. |
| format | Article |
| id | doaj-art-c9a9fb816a4e4f6b85b4ea4f69e7eb6a |
| institution | OA Journals |
| issn | 1735-1324 2588-6177 |
| language | fas |
| publishDate | 2019-06-01 |
| publisher | Shahid Beheshti University |
| record_format | Article |
| series | علوم محیطی |
| spelling | doaj-art-c9a9fb816a4e4f6b85b4ea4f69e7eb6a2025-08-20T02:30:50ZfasShahid Beheshti Universityعلوم محیطی1735-13242588-61772019-06-0117218920610.29252/envs.17.2.18998050Proposing a flood management solution based on optimal usage allocation via genetic algorithmDavood Mokhtari0Aliakbar Rasouli1Monire Moosabeigi2Department of Remote Sensing and Geographical Information Systems, Faculty of Geography and Urban Planning, Tabriz University, Tabriz, IranDepartment of Remote Sensing and Geographical Information Systems, Faculty of Geography and Urban Planning, Tabriz University, Tabriz, IranDepartment of Remote Sensing and Geographical Information Systems, Faculty of Geography and Urban Planning, Tabriz University, Tabriz, IranIntroduction: One of the most influential factors in the occurence of a flood in the spillway basins is proposed to be the unsuitable or exorbitanceuse use of lands. One of the flood management solutions is to optimize the land use allocation by considering multiple objectives and parameters. In this regard, GIS capabilities could be applied as one of the novel scientific and technical methods along with taking the advantage of Artifcial intelligence capabilities, such as multi-objective genetic algorithm. This research aimed to model the land use allocation in GIS platform using NSGA-II algorithm to monitor flood crisis. Material and methods: In the designed model, using the interruptive method, land’s ecological capability was extracted and then using NSGA-II algorithm capabilities, optimal applications were obtained for various parts of the area in order to decrease the flood height as well as to increase the economic profit with the least difficult change of utilities. In the designed model, the curve number parameter (CN) was used to investigate the role of land use on the flood. Results and discussion: The results of the designed model are represented in several optimal patterns that have the same applicable value. Based on the present conditions of the studied region and the expert’s opinion, the optimal model could be executed. To evaluate the capability of the designed model, the Taleghan basin was selected which is located in Alborz Province; CN range of the study area was 83 in the searching space, while in designed output models, the lowest amount of CN, with 11% decrease compared to the current situation, was about 74.5%. Also, the economic profit growth was 52.19% in this land synthetic pattern. Conclusion: The results and achievements of this study include proposing a land use optimization model based on a multi-objective genetic algorithm for flood reduction, integrated river basin management, as well as programming in an expansive form to use in future studies.https://envs.sbu.ac.ir/article_98050_cf29b4ad7420e793026bcc2711d7a090.pdfmodelingland use optimizationfloodinggisnsga-ii algorithm |
| spellingShingle | Davood Mokhtari Aliakbar Rasouli Monire Moosabeigi Proposing a flood management solution based on optimal usage allocation via genetic algorithm علوم محیطی modeling land use optimization flooding gis nsga-ii algorithm |
| title | Proposing a flood management solution based on optimal usage allocation via genetic algorithm |
| title_full | Proposing a flood management solution based on optimal usage allocation via genetic algorithm |
| title_fullStr | Proposing a flood management solution based on optimal usage allocation via genetic algorithm |
| title_full_unstemmed | Proposing a flood management solution based on optimal usage allocation via genetic algorithm |
| title_short | Proposing a flood management solution based on optimal usage allocation via genetic algorithm |
| title_sort | proposing a flood management solution based on optimal usage allocation via genetic algorithm |
| topic | modeling land use optimization flooding gis nsga-ii algorithm |
| url | https://envs.sbu.ac.ir/article_98050_cf29b4ad7420e793026bcc2711d7a090.pdf |
| work_keys_str_mv | AT davoodmokhtari proposingafloodmanagementsolutionbasedonoptimalusageallocationviageneticalgorithm AT aliakbarrasouli proposingafloodmanagementsolutionbasedonoptimalusageallocationviageneticalgorithm AT moniremoosabeigi proposingafloodmanagementsolutionbasedonoptimalusageallocationviageneticalgorithm |