Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion
Modeling and estimating the amount of runoff in an area is very important in water resources management; Because the river flow is one of the important factors in the hydrological cycle, which depends on various factors such as rainfall. In the current research, entropy and fractal criteria were use...
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Razi University
2024-12-01
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| Series: | مدلسازی پیشرفته در مهندسی عمران |
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| Online Access: | https://amcen.razi.ac.ir/article_3398_85e99f38f94e9fdc530508fd0fee17fe.pdf |
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| author | Mehdi Komasi Bahareh Doorbashizadeh |
| author_facet | Mehdi Komasi Bahareh Doorbashizadeh |
| author_sort | Mehdi Komasi |
| collection | DOAJ |
| description | Modeling and estimating the amount of runoff in an area is very important in water resources management; Because the river flow is one of the important factors in the hydrological cycle, which depends on various factors such as rainfall. In the current research, entropy and fractal criteria were used to determine the runoff trend of the Silakhor plain during the years 1360-1400. In the first step, the amount of entropy was determined for the time period of 1360-1400 runoff parameters. Then it was compared with the amount of entropy obtained for the rainfall parameter. In the next step, Hurst index values, one of the fractal criteria, were calculated for rainfall and runoff parameters in order to check the range of stability and trends.The results of the research show that the runoff entropy fluctuates, but these fluctuations have also been observed in the rainfall variable. In contrast, the Hurst index values of runoff and rainfall parameters are in the range of strong stability (0.5 to 1) and the time series have long-term memory. Fluctuations and irregularities observed in runoff entropy values can be caused by the minimal impact of rainfall and the maximal impact of human intervention and over-harvesting, which can lead to water crises. |
| format | Article |
| id | doaj-art-9613dca1b5394d269f81392ae4d2d36c |
| institution | Kabale University |
| issn | 3060-7620 |
| language | fas |
| publishDate | 2024-12-01 |
| publisher | Razi University |
| record_format | Article |
| series | مدلسازی پیشرفته در مهندسی عمران |
| spelling | doaj-art-9613dca1b5394d269f81392ae4d2d36c2025-08-20T03:29:18ZfasRazi Universityمدلسازی پیشرفته در مهندسی عمران3060-76202024-12-0112476110.22126/amcen.2024.11430.10343398Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterionMehdi Komasi0Bahareh Doorbashizadeh1Associated Professor, Department of Civil Engineering, Faculty of Engineering, Ayatollah Boroujerdi University, Boroujerd, Iran.Master student, Department of Civil Engineering, Faculty of Engineering, Ayatollah Boroujerdi University, Boroujerd, Iran.Modeling and estimating the amount of runoff in an area is very important in water resources management; Because the river flow is one of the important factors in the hydrological cycle, which depends on various factors such as rainfall. In the current research, entropy and fractal criteria were used to determine the runoff trend of the Silakhor plain during the years 1360-1400. In the first step, the amount of entropy was determined for the time period of 1360-1400 runoff parameters. Then it was compared with the amount of entropy obtained for the rainfall parameter. In the next step, Hurst index values, one of the fractal criteria, were calculated for rainfall and runoff parameters in order to check the range of stability and trends.The results of the research show that the runoff entropy fluctuates, but these fluctuations have also been observed in the rainfall variable. In contrast, the Hurst index values of runoff and rainfall parameters are in the range of strong stability (0.5 to 1) and the time series have long-term memory. Fluctuations and irregularities observed in runoff entropy values can be caused by the minimal impact of rainfall and the maximal impact of human intervention and over-harvesting, which can lead to water crises.https://amcen.razi.ac.ir/article_3398_85e99f38f94e9fdc530508fd0fee17fe.pdfentropyself similaritytrendinghurst indexfluctuations |
| spellingShingle | Mehdi Komasi Bahareh Doorbashizadeh Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion مدلسازی پیشرفته در مهندسی عمران entropy self similarity trending hurst index fluctuations |
| title | Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion |
| title_full | Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion |
| title_fullStr | Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion |
| title_full_unstemmed | Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion |
| title_short | Modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion |
| title_sort | modeling of the pattern of hydrological phenomena in climate conditions using fractal theory and entropy criterion |
| topic | entropy self similarity trending hurst index fluctuations |
| url | https://amcen.razi.ac.ir/article_3398_85e99f38f94e9fdc530508fd0fee17fe.pdf |
| work_keys_str_mv | AT mehdikomasi modelingofthepatternofhydrologicalphenomenainclimateconditionsusingfractaltheoryandentropycriterion AT baharehdoorbashizadeh modelingofthepatternofhydrologicalphenomenainclimateconditionsusingfractaltheoryandentropycriterion |