Raingauge Network Evaluation Using the Discrete Entropy (Case Study: Great Karoun Basin)
Quality of rainfall information for a given watershed or region is primary information needed for the sustainable designing and operation of water resources systems. For an optimal rainfall network design, they should be reviewed periodically based on the information needs and future water resources...
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Shahid Chamran University of Ahvaz
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doaj-2df48483e3b14e04ac19b514d8fc79e52020-11-25T03:17:34ZfasShahid Chamran University of Ahvazعلوم و مهندسی آبیاری2588-59522588-59602016-01-0138411310.22055/jise.2016.1178811788Raingauge Network Evaluation Using the Discrete Entropy (Case Study: Great Karoun Basin)Morteza Fani0Somayeh Khalife1Ebrahim Khalife2Mohammad Aflatooni3دانش آموخته کارشناسی ارشد- مهندسی منابع آب، گروه مهندسی آب، دانشکده کشاورزی، دانشگاه آزاد اسلامی شیرازدانش آموخته کارشناسی ارشد- مهندسی منابع آب، گروه مهندسی آب، دانشکده کشاورزی ، دانشگاه شهید باهنر کرماندانشجوی دکترای عمران، گروه آب، دانشکده عمران، دانشگاه صنعتی خواجه نصیرالدین طوسیاستاد یار بخش مهندسی آب ، دانشکده علوم کشاورزی، دانشگاه آزاد اسلامی شیرازQuality of rainfall information for a given watershed or region is primary information needed for the sustainable designing and operation of water resources systems. For an optimal rainfall network design, they should be reviewed periodically based on the information needs and future water resources development plans. This study evaluated regional values of raingages in great Karoun basin located in Khozestan , Iran, using the discrete entropy. Discrete entropy can overcome limits of data normality assumption in past research and applications for hydrological variables. To determine the regional value of each station within a region, several information parameters such as marginal entropy, joint entropy and transinformation index between stations, were calculated to identify essential raingauge and critical area. Sensitivity analysis to number of discrete intervals showed that the entropy is sensitive to changes, but the ranks based on entropy indices appear to be less sensitive. Finally, results confirm that the entropy is useful to characterize the essential and excess station in the region and density of 31 raingauge network is optimal and other raingauge can be removed from monitoring network.http://jise.scu.ac.ir/article_11788_5e14ab662097fa231aaeb22723cf0ede.pdfevaluationentropy theorydiscrete intervalsraingauge network |
collection |
DOAJ |
language |
fas |
format |
Article |
sources |
DOAJ |
author |
Morteza Fani Somayeh Khalife Ebrahim Khalife Mohammad Aflatooni |
spellingShingle |
Morteza Fani Somayeh Khalife Ebrahim Khalife Mohammad Aflatooni Raingauge Network Evaluation Using the Discrete Entropy (Case Study: Great Karoun Basin) علوم و مهندسی آبیاری evaluation entropy theory discrete intervals raingauge network |
author_facet |
Morteza Fani Somayeh Khalife Ebrahim Khalife Mohammad Aflatooni |
author_sort |
Morteza Fani |
title |
Raingauge Network Evaluation Using the Discrete Entropy
(Case Study: Great Karoun Basin) |
title_short |
Raingauge Network Evaluation Using the Discrete Entropy
(Case Study: Great Karoun Basin) |
title_full |
Raingauge Network Evaluation Using the Discrete Entropy
(Case Study: Great Karoun Basin) |
title_fullStr |
Raingauge Network Evaluation Using the Discrete Entropy
(Case Study: Great Karoun Basin) |
title_full_unstemmed |
Raingauge Network Evaluation Using the Discrete Entropy
(Case Study: Great Karoun Basin) |
title_sort |
raingauge network evaluation using the discrete entropy
(case study: great karoun basin) |
publisher |
Shahid Chamran University of Ahvaz |
series |
علوم و مهندسی آبیاری |
issn |
2588-5952 2588-5960 |
publishDate |
2016-01-01 |
description |
Quality of rainfall information for a given watershed or region is primary information needed for the sustainable designing and operation of water resources systems. For an optimal rainfall network design, they should be reviewed periodically based on the information needs and future water resources development plans. This study evaluated regional values of raingages in great Karoun basin located in Khozestan , Iran, using the discrete entropy. Discrete entropy can overcome limits of data normality assumption in past research and applications for hydrological variables. To determine the regional value of each station within a region, several information parameters such as marginal entropy, joint entropy and transinformation index between stations, were calculated to identify essential raingauge and critical area. Sensitivity analysis to number of discrete intervals showed that the entropy is sensitive to changes, but the ranks based on entropy indices appear to be less sensitive. Finally, results confirm that the entropy is useful to characterize the essential and excess station in the region and density of 31 raingauge network is optimal and other raingauge can be removed from monitoring network. |
topic |
evaluation entropy theory discrete intervals raingauge network |
url |
http://jise.scu.ac.ir/article_11788_5e14ab662097fa231aaeb22723cf0ede.pdf |
work_keys_str_mv |
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1724631364828921856 |