Optimizing lining length of watercourses for increased water saving in Punjab, Pakistan

Paper Details

Research Paper 01/02/2017
Views (613)
current_issue_feature_image
publication_file

Optimizing lining length of watercourses for increased water saving in Punjab, Pakistan

Arsam Ahmed Awan, Ishtiaq Hassan, Muhammad Hassan
J. Biodiv. & Environ. Sci. 10(2), 173-180, February 2017.
Copyright Statement: Copyright 2017; The Author(s).
License: CC BY-NC 4.0

Abstract

The concern of water losses through the irrigation system has significant impact on the supply through of surface water. There is a high quantum of surface water losses in unlined watercourses that reduces the efficiency of water supply system and makes it uneconomical. An extensive study has been carried out to calculate conveyance losses using operational inflow and outflow approach. The losses from both lined and unlined watercourses of a similar geographical area, has been calculated and compared to compute the percentage saving of water. The percentage of water saving against increase in percentage lining were modeled using polynomial regression and optimum lining length for unlined water courses has been computed as 50% and it is found that maximum economic benefits can be obtained using this length that corresponds to 80% of water saving.

Akkuzu E. 2012. Usefulness of Empirical Equations in Assessing Canal Losses through Seepage in Concrete-Lined Canal. Journal of Irrigation and Drainage, ASCE 138, 455-460.

Alam MM, Bhutta MN. 2004. Comparative evaluation of canal seepage investigation techniques. Agricultural Water Management 66(1), 65-76.

Arshad M, Ahmad N, Usman M, Shabbir A. 2009. Comparison of Water Losses between Unlined and Lined Watercourses in Indus Basin of Pakistan. Pakistan Journal Agricultural Science 46(2), 280-284.

Arshad M, Ahmad N. 2011. Performance assessment of irrigation system in rice-wheat cropping zone using modern techniques, ICID 21st International Congress on Irrigation and Drainage 15-23. October 2011, Tehran, Iran.

Block P, Rajagopalan B. 2009. Statistical-dynamical approach for stream flow modeling at malakal, sudan, on the white Nile river. Journal of Hydrologic Engineering 14(2), 185-196.

Chatha ZA, Arshad M, Shakoor A. 2014. Design and Cost Analysis of Watercourse Lining for Sustainable Water Saving. Journal of Agricultural Research 52, 589-595.

Copland. 1987. Technical Economic Feasibility Report for Khushab Salinity Control and Reclamation Project. Asian Development Bank 96.

Javaid F, Arshad M, Khan AM, Shabbir A, Shakoor A. 2012. Performance Assessment of Lined Watercourses in Distict Jhang. Pakistan Journal Agricultural Science 49(1), 73-77.

Joshi D, St-Hilaire A, Daigle, A, Ouarda TB. 2013. Databased comparison of sparse bayesian learning and multiple linear regression for statistical downscaling of low flow indices. Journal of Hydrologic Engineering 488, 136-149.

Kahlown MA, Kemper WD. 2004. Reducing water losses from channels using linings: Cost and benefits in Pakistan. Agricultural Water Management 74, 57-76.

Liang Z, Wang D, Guo Y, Zhang Y, Dai R. 2013. Application of bayesian model averaging approach to multimodel ensemble hydrologic forecasting. Journal of Hydrologic Engineering 18(11), 1426-1436.

Marshall L, Nott D, Sharma A. 2007. Towards dynamic catchment modelling: a Bayesian hierarchical mixtures of experts framework. Hydrological Processes 21, 847-861.

Martin CA, Gates TK. 2014. Uncertainty of canal seepage losses estimated using flowing water balance with acoustic Doppler device. Journal of Hydrology 517, 746-761.

Moghazi HEM, Ismail ES. 1997. Study of losses from field channels under arid region conditions. Irrigation Science 17(3), 105110.

Planning commission-I, PIPIP. 2012. Punjab Irrigated agriculture Productivity Improvement Project. PC-I by On Farm Water Management, Lahore, Pakistan.

Reuss JO, Skogerboe GV, Hener DJ. 1979. To improve agriculture productivity. CSU 42L.

Royston P, Altman DG. 1994, Regression using fractional polynomials of continuous covariates: parsimonious parametric modelling (with discussion). Applied Statistics 43, 429-467.

Shaikh IA, Lee  ST. 2016. Estimating Earthen Tertiary Water Channel Seepage Losses as a Function of Soil Texture. Journal of Hydrologic Engineering 21(2), 570-583.

Thomas JT. 1980. “Factors Affecting Losses from Indus Basin Irrigation Channels.” Journal of Hydrology 22, 370-377.

Ticlavilca,AM, McKee M, Walker WR. 2013. “Real-time forecasting of short-term irrigation canal demands using a robust multivariate Bayesian learning model.” Irrigation Science 31(2), 151-167.

Trout TJ. 1983. Measurement Device Effect on Channel Water Losses. Journal of Irrigation and Drainage, ASCE 109, 60-71.

Vigiak O, Bende-Mich U. 2013, Estimating bootstrap and Bayesian prediction intervals for constituent load rating curves. Water Resources Research 49, 8565-8578.

Wachyan E, Rushton KR. 1987. Water losses from irrigation Canals. Journal of Hydrology 92, 275-288.

Wellen C, Arhonditsis GB, Labencki T, Boyd D. 2012. A Bayesian methodological framework for accommodating interannual variability of nutrient loading with the SPARROW model. Water Resources Research 48(10), W10505.

Zeb J, Ahmad S, Aslam-Badaruddin A. 2000. Evaluation of conveyance losses in three unlined watercourses of the Warsak Gravity Canal. Pakistan Journal of Biological Sciences 3(2), 352-353.

Related Articles

Agroforestry in woody-encroached Sub-Saharan savannas: Transforming ecological challenges into sustainable opportunities

Yao Anicet Gervais Kouamé, Pabo Quévin Oula, Kouamé Fulgence Koffi, Ollo Sib, Adama Bakayoko, Karidia Traoré, J. Biodiv. & Environ. Sci. 27(3), 10-22, September 2025.

Extreme rainfall variability and trends in the district of Ouedeme, municipality of Glazoue (Benin)

Koumassi Dègla Hervé, J. Biodiv. & Environ. Sci. 27(3), 1-9, September 2025.

Heterosis breeding, general and specific combining ability and stability studies in pearl millet: Current trends

Ram Avtar, Krishan Pal, Kavita Rani, Rohit Kumar Tiwari, Mahendra Kumar Yadav, J. Biodiv. & Environ. Sci. 27(2), 117-124, August 2025.

Combining ability, heterosis and stability for yield and fibre quality traits in cotton: Breeding approaches and future prospects

Rohit Kumar Tiwari, Krishan Pal, R. P. Saharan, Ram Avtar, Mahendra Kumar Yadav, J. Biodiv. & Environ. Sci. 27(2), 109-116, August 2025.

Bridging the COPD awareness gap in marginalized populations: Findings from a multicentre study in Khalilabad, Sant Kabir Nagar, Uttar Pradesh, India

Anupam Pati Tripathi, Jigyasa Pandey, Sakshi Singh, Smita Pathak, Dinesh Chaudhary, Alfiya Mashii, Farheen Fatima, J. Biodiv. & Environ. Sci. 27(2), 97-108, August 2025.

Antioxidant and anti-inflammatory activity of Pleurotus citrinopileatus Singer and Pleurotus sajor-caju (Fr.) Singer

P. Maheswari, P. Madhanraj, V. Ambikapathy, P. Prakash, A. Panneerselvam, J. Biodiv. & Environ. Sci. 27(2), 90-96, August 2025.

Mangrove abundance, diversity, and productivity in effluent-rich estuarine portion of Butuanon River, Mandaue City, Cebu

John Michael B. Genterolizo, Miguelito A. Ruelan, Laarlyn N. Abalos, Kathleen Kay M. Buendia, J. Biodiv. & Environ. Sci. 27(2), 77-89, August 2025.

Cytogenetic and pathological investigations in maize × teosinte hybrids: Chromosome behaviour, spore identification, and inheritance of maydis leaf blight resistance

Krishan Pal, Ravi Kishan Soni, Devraj, Rohit Kumar Tiwari, Ram Avtar, J. Biodiv. & Environ. Sci. 27(2), 70-76, August 2025.