Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme
Partitioning Scheme (PS) is one of the strategies that could play a constructive role in improving the performance of conceptual rainfall–runoff (CRR) models. The main objective of this paper is to develop a Rainfall Runoff-Partitioning Scheme (RR-PS) with the ability of distinguishing different flo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-02-01
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| Series: | Water |
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| Online Access: | http://www.mdpi.com/2073-4441/8/2/63 |
| _version_ | 1811258863973826560 |
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| author | Alireza B. Dariane Mohamad M. Javadianzadeh |
| author_facet | Alireza B. Dariane Mohamad M. Javadianzadeh |
| author_sort | Alireza B. Dariane |
| collection | DOAJ |
| description | Partitioning Scheme (PS) is one of the strategies that could play a constructive role in improving the performance of conceptual rainfall–runoff (CRR) models. The main objective of this paper is to develop a Rainfall Runoff-Partitioning Scheme (RR-PS) with the ability of distinguishing different flow regimes in a basin and simulating each regime separately. The model utilizes a combination of PS and “regular” procedures and is equipped with Fuzzy C-Means (FCM) and Seasonal Partitioning (SP) to recognize different flow regimes. In addition, to avoid excessive increase of the model parameters caused by PS, sensitivity analysis is used to recognize the sensitive parameters. The PS part of integrated model is only run for the “sensitive” parameters and the “regular” part of model is implemented for the “less-sensitive” parameters. Data from three different scale basins in USA and Iran are used to evaluate the models. A HBV-Light (Hydrologiska Byråns Vattenbalansavdelning-Light model) based CRR model (Improved HBV- IHBV) is developed in FORTRAN (Formula Translation) with several modifications for testing the procedures. The results show that in all cases IHBV-based models using PS method perform better than the regular IHBV model. Overall, IHBV-SP demonstrates better performance than the other PS based models. Further improvement is reached by adopting user-defined seasons in IHBV-SP through optimization. |
| first_indexed | 2024-04-12T18:21:53Z |
| format | Article |
| id | doaj.art-a616fbaafdf24ef0b901a1f84e797d1e |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-04-12T18:21:53Z |
| publishDate | 2016-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-a616fbaafdf24ef0b901a1f84e797d1e2022-12-22T03:21:25ZengMDPI AGWater2073-44412016-02-01826310.3390/w8020063w8020063Towards an Efficient Rainfall–Runoff Model through Partitioning SchemeAlireza B. Dariane0Mohamad M. Javadianzadeh1Department of Civil Engineering, K.N. Toosi University of Technology, Tehran 1996715433, IranDepartment of Civil Engineering, K.N. Toosi University of Technology, Tehran 1996715433, IranPartitioning Scheme (PS) is one of the strategies that could play a constructive role in improving the performance of conceptual rainfall–runoff (CRR) models. The main objective of this paper is to develop a Rainfall Runoff-Partitioning Scheme (RR-PS) with the ability of distinguishing different flow regimes in a basin and simulating each regime separately. The model utilizes a combination of PS and “regular” procedures and is equipped with Fuzzy C-Means (FCM) and Seasonal Partitioning (SP) to recognize different flow regimes. In addition, to avoid excessive increase of the model parameters caused by PS, sensitivity analysis is used to recognize the sensitive parameters. The PS part of integrated model is only run for the “sensitive” parameters and the “regular” part of model is implemented for the “less-sensitive” parameters. Data from three different scale basins in USA and Iran are used to evaluate the models. A HBV-Light (Hydrologiska Byråns Vattenbalansavdelning-Light model) based CRR model (Improved HBV- IHBV) is developed in FORTRAN (Formula Translation) with several modifications for testing the procedures. The results show that in all cases IHBV-based models using PS method perform better than the regular IHBV model. Overall, IHBV-SP demonstrates better performance than the other PS based models. Further improvement is reached by adopting user-defined seasons in IHBV-SP through optimization.http://www.mdpi.com/2073-4441/8/2/63partitioning schemeHBV-lightfuzzy C-meanssensitivity analysisseasonal partitioning |
| spellingShingle | Alireza B. Dariane Mohamad M. Javadianzadeh Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme Water partitioning scheme HBV-light fuzzy C-means sensitivity analysis seasonal partitioning |
| title | Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme |
| title_full | Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme |
| title_fullStr | Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme |
| title_full_unstemmed | Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme |
| title_short | Towards an Efficient Rainfall–Runoff Model through Partitioning Scheme |
| title_sort | towards an efficient rainfall runoff model through partitioning scheme |
| topic | partitioning scheme HBV-light fuzzy C-means sensitivity analysis seasonal partitioning |
| url | http://www.mdpi.com/2073-4441/8/2/63 |
| work_keys_str_mv | AT alirezabdariane towardsanefficientrainfallrunoffmodelthroughpartitioningscheme AT mohamadmjavadianzadeh towardsanefficientrainfallrunoffmodelthroughpartitioningscheme |