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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Main Authors: Morteza Fani, Somayeh Khalife, Ebrahim Khalife, Mohammad Aflatooni
Format: Article
Language:fas
Published: Shahid Chamran University of Ahvaz 2016-01-01
Series:علوم و مهندسی آبیاری
Subjects:
Online Access:http://jise.scu.ac.ir/article_11788_5e14ab662097fa231aaeb22723cf0ede.pdf
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spelling 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
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