PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility Evaluation
Various experimental and mathematical methods have been developed to assess the soil erosion potential and sediment yield. Among theses methods, the PSIAC method is one of the well known parametric and index methods. The uncertainty about recognition and decision of erodibility is an ambiguous uncer...
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Water and Wastewater Consulting Engineers Research Development
2006-03-01
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doaj-36539f60e585485abeca4ac50b2190f42021-03-02T07:27:51ZengWater and Wastewater Consulting Engineers Research Developmentآب و فاضلاب1024-59362383-09052006-03-0117159712321PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility EvaluationShahin Fathi Malek Kian0Abbas Afshar1Seyed Jamshid Moosavi2M.Sc. of Hydraulic Structures, Iran University of Science and TechnologyProf., Civil Eng. Dept., Iran University of Science and TechnologyAssociate Prof., Civil and Environmental Eng. Dept., Amirkabir University of TechnologyVarious experimental and mathematical methods have been developed to assess the soil erosion potential and sediment yield. Among theses methods, the PSIAC method is one of the well known parametric and index methods. The uncertainty about recognition and decision of erodibility is an ambiguous uncertainty or on the other hand is a fuzzy problem. Furthermore, in PSIAC pattern, the space between input variables is divided into explicit and fixed sets so that the PSIAC indices of the input variables are not continuous. Hence, any variation of input parameter in this space and its effect will not be appeared at the final output PSIAC index. Due to the foregoing matters, in this study a fuzzy recognition approach is presented on the basis of PSIAC parameters. This method has a continuous form and is sensitive to the parameters variation in the discretized schemes. From conceptual point of view, the mentioned variations can be considered in the model output by fuzzy method. As a case study, both PSIAC and fuzzy pattern recognition were utilized to find the erodibility potential of Daryanchai watershed. The obtained results show, although the main trend of the erodibility potential in both methods is similar, some differences can be seen between the results of the two methods. These differences can be related to the computation schemes of the methods and continuous computational space of fuzzy approach in comparison with the PSIAC method.http://www.wwjournal.ir/article_2321_5beabb9d6d7524b911488d3e4f66f1e0.pdfAssessing Erodibility PotentialPSIACFuzzy Pattern RecognitionDaryanchai Watershed |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shahin Fathi Malek Kian Abbas Afshar Seyed Jamshid Moosavi |
spellingShingle |
Shahin Fathi Malek Kian Abbas Afshar Seyed Jamshid Moosavi PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility Evaluation آب و فاضلاب Assessing Erodibility Potential PSIAC Fuzzy Pattern Recognition Daryanchai Watershed |
author_facet |
Shahin Fathi Malek Kian Abbas Afshar Seyed Jamshid Moosavi |
author_sort |
Shahin Fathi Malek Kian |
title |
PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility Evaluation |
title_short |
PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility Evaluation |
title_full |
PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility Evaluation |
title_fullStr |
PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility Evaluation |
title_full_unstemmed |
PSIAC Based Fuzzy Pattern Recognition Methodology for Watershed Erodibility Evaluation |
title_sort |
psiac based fuzzy pattern recognition methodology for watershed erodibility evaluation |
publisher |
Water and Wastewater Consulting Engineers Research Development |
series |
آب و فاضلاب |
issn |
1024-5936 2383-0905 |
publishDate |
2006-03-01 |
description |
Various experimental and mathematical methods have been developed to assess the soil erosion potential and sediment yield. Among theses methods, the PSIAC method is one of the well known parametric and index methods. The uncertainty about recognition and decision of erodibility is an ambiguous uncertainty or on the other hand is a fuzzy problem. Furthermore, in PSIAC pattern, the space between input variables is divided into explicit and fixed sets so that the PSIAC indices of the input variables are not continuous. Hence, any variation of input parameter in this space and its effect will not be appeared at the final output PSIAC index. Due to the foregoing matters, in this study a fuzzy recognition approach is presented on the basis of PSIAC parameters. This method has a continuous form and is sensitive to the parameters variation in the discretized schemes. From conceptual point of view, the mentioned variations can be considered in the model output by fuzzy method. As a case study, both PSIAC and fuzzy pattern recognition were utilized to find the erodibility potential of Daryanchai watershed. The obtained results show, although the main trend of the erodibility potential in both methods is similar, some differences can be seen between the results of the two methods. These differences can be related to the computation schemes of the methods and continuous computational space of fuzzy approach in comparison with the PSIAC method. |
topic |
Assessing Erodibility Potential PSIAC Fuzzy Pattern Recognition Daryanchai Watershed |
url |
http://www.wwjournal.ir/article_2321_5beabb9d6d7524b911488d3e4f66f1e0.pdf |
work_keys_str_mv |
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