The potential of precision surface irrigation in the Indus Basin Irrigation System

Published on Sep 1, 2016in Irrigation Science2.44
· DOI :10.1007/s00271-016-0509-5
Arif A. Anwar12
Estimated H-index: 12
(IWMI: International Water Management Institute),
Waqas Ahmad6
Estimated H-index: 6
(Hongik University)
+ 1 AuthorsZia Ul Haq5
Estimated H-index: 5
(University of Engineering and Technology, Lahore)
In this research we explore the potential of precision surface irrigation to improve irrigation performance under the warabandi system prevalent in the Indus Basin Irrigation System. Data on field dimensions, field slopes along with characteristic soil infiltration properties and outlet discharge were collected through a survey of a sample tertiary unit of Maira Branch Canal, Khyber Pakhtunkhwa Province, Pakistan. The performance of all fields in the tertiary unit was analysed and reported in aggregate, with detailed results of one field presented for illustration. The objective is to determine the optimum field layout, defined as the number of border strips, for the observed field characteristics to maximize performance. The results indicate that performance improvement is relatively easily achievable through changes in field layout within current irrigation services. Estimated application efficiency is sensitive to the selected depth of application, and it is important that a practical depth of application is selected. We recommend a depth of application of 50 mm and show how this is achievable and leads to a low quarter distribution uniformity of 0.750 and an application efficiency of 80 %. We also explore the feasibility of a 10-day warabandi rather than the 7-day warabandi and show that there is no significant change in the performance under a 10-day warabandi.
  • References (30)
  • Citations (6)
#1Arif A. Anwar (IWMI: International Water Management Institute)H-Index: 12
#2Zia Ul Haq (University of Engineering and Technology, Peshawar)H-Index: 5
#1César González (University of Zaragoza)H-Index: 1
#2Luis Cervera (University of Zaragoza)H-Index: 1
Last.David Moret-Fernández (CSIC: Spanish National Research Council)H-Index: 9
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#1E. Humphreys (IRRI: International Rice Research Institute)H-Index: 16
#2S. S. Kukal (PAU: Punjab Agricultural University)H-Index: 21
Last.Ramesh Kumar SharmaH-Index: 17
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#1E. Bautista (USDA: United States Department of Agriculture)H-Index: 11
#2Albert J. Clemmens (USDA: United States Department of Agriculture)H-Index: 22
Last.James L. Schlegel (USDA: United States Department of Agriculture)H-Index: 2
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#1E. Bautista (USDA: United States Department of Agriculture)H-Index: 11
#2Albert J. Clemmens (USDA: United States Department of Agriculture)H-Index: 22
Last.M. Niblack (DOI: United States Department of the Interior)H-Index: 1
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Cited By6
#1Jiatun Xu (NWAFU: Northwest A&F University)
#2Huanjie Cai (NWAFU: Northwest A&F University)H-Index: 2
Last.Yajun Lu (NWAFU: Northwest A&F University)
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#1Mohamed Khaled Salahou (Hohai University)H-Index: 2
#2Xiyun Jiao (Hohai University)H-Index: 7
Last.Haishen Lü (Hohai University)H-Index: 12
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#1Mahmood Akbari (IUT: Isfahan University of Technology)H-Index: 1
#2Mahdi Gheysari (IUT: Isfahan University of Technology)H-Index: 8
Last.Mohammad Shayannejad (IUT: Isfahan University of Technology)H-Index: 5
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