Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki
A statistical method to fit the lower tail of the cumulative distribution function of streamflow is presented. The proposed model is distribution-free that is it does not require the specification of a parent distribution. The potential use of the proposed model is its ability to estimate small quan...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Research, Development and Commercialisation (IRDC)
2007
|
| Subjects: | |
| Online Access: | http://ir.uitm.edu.my/id/eprint/12818/ http://ir.uitm.edu.my/id/eprint/12818/1/AJ_ISMAIL%20ATAN%20SRJ%2007%201.pdf |
| id |
uitm-12818 |
|---|---|
| recordtype |
eprints |
| spelling |
uitm-128182016-05-26T06:46:52Z http://ir.uitm.edu.my/id/eprint/12818/ Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki Atan, Ismail Jaafar, Jurina Mohd Baki, Aminuddin Malaysia Malaysia Malaysia A statistical method to fit the lower tail of the cumulative distribution function of streamflow is presented. The proposed model is distribution-free that is it does not require the specification of a parent distribution. The potential use of the proposed model is its ability to estimate small quantities of low flow distribution for drought management. The accurate estimation of low flow is very important for water resources planning and to illustrate the applicability of this model, the Langat River was selected. Institute of Research, Development and Commercialisation (IRDC) 2007 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/12818/1/AJ_ISMAIL%20ATAN%20SRJ%2007%201.pdf Atan, Ismail and Jaafar, Jurina and Mohd Baki, Aminuddin (2007) Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki. Scientific Research Journal, 4 (1). pp. 39-48. ISSN 1675-7009 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Malaysia Malaysia Malaysia |
| spellingShingle |
Malaysia Malaysia Malaysia Atan, Ismail Jaafar, Jurina Mohd Baki, Aminuddin Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki |
| description |
A statistical method to fit the lower tail of the cumulative distribution function of streamflow is presented. The proposed model is distribution-free that is it does not require the specification of a parent distribution. The potential use of the proposed model is its ability to estimate small quantities of low flow
distribution for drought management. The accurate estimation of low flow is very important for water resources planning and to illustrate the applicability of this model, the Langat River was selected. |
| format |
Article |
| author |
Atan, Ismail Jaafar, Jurina Mohd Baki, Aminuddin |
| author_facet |
Atan, Ismail Jaafar, Jurina Mohd Baki, Aminuddin |
| author_sort |
Atan, Ismail |
| title |
Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki |
| title_short |
Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki |
| title_full |
Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki |
| title_fullStr |
Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki |
| title_full_unstemmed |
Low flow analysis for drought management / Ismail Atan, Jurina Jaafar and Aminuddin Mohd Baki |
| title_sort |
low flow analysis for drought management / ismail atan, jurina jaafar and aminuddin mohd baki |
| publisher |
Institute of Research, Development and Commercialisation (IRDC) |
| publishDate |
2007 |
| url |
http://ir.uitm.edu.my/id/eprint/12818/ http://ir.uitm.edu.my/id/eprint/12818/1/AJ_ISMAIL%20ATAN%20SRJ%2007%201.pdf |
| first_indexed |
2023-09-18T22:49:29Z |
| last_indexed |
2023-09-18T22:49:29Z |
| _version_ |
1777417448161542144 |