1 AIT Asian Institute of Technology

Water productivity and technical efficiency of a selected irrigation system in Punjab, Pakistan

AuthorAli, Hafiz Muhammad
Call NumberAIT Thesis no.WM-16-17
Subject(s)Irrigation--Pakistan--Punjab

NoteA thesis report submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Water Engineering and Management
PublisherAsian Institute of Technology
Series StatementThesis ; no. WM-16-17
AbstractThe nation’s food is greatly dependent on theirrigation water which also depends on Indus river basin for taking water supplies. This supply from the rivers is shrinking as a result of increased use in industry and households purposes. This gives the nation a competition for irrigation-water demand to produce more agricultural product with the available water resources. The best solution is to find water saving techniques and strategies to efficiently use irrigation water for maximum benefit.This research was related to find out the water productivityof the surface irrigation and drip irrigation and see the impact of efficient water saving technologies on water productivity. The main objectives were to find status of water productivity in the head;middle and tail reach of the Noor minor, Rahimyarkhan, Pakistan, to find out efficient farmers that region and to analyze water productivity of new technologies. The data analysis was performed in order to find out water productivity in the head, middle and tail reach based on the data collected by personal interviews of the farmers as well as from Punjab Irrigation Department, Punjab Agriculture Department and Punjab Meteorological Department. Gross required irrigationwas calculated using CROPWAT and it was compared with canal supplies from headto tail. Data envelop analysis (DEA) was used to calculate the technical efficiency of the farmers.The data were analyzed by using the Statistical Package for Social Sciences or SPSS tool. This research applied the stepwise regression models to test the eight independent variables on two dependent variables.Different areas of Punjab, Pakistan were visited in order to dig out farmers who were practicing cotton on drip irrigation systemand examine their water productivity.Water Productivityin the head reach wasrelativelyhigheras compared to middle and tail reach. Availability of irrigation water and efficiency in utilizing that water were making the farmers to be smarterbecause they were fulfilling their crop demands mostly from canal water.Negative correlation was found between water productivity and evapotranspiration. Significantly positive impact of household size on technical efficiency was assessed in this research. Moreovernegative impact of age on technical efficiencyandpositive impact of farmer’s education were analyzed. Furthermore farm size impacted positivelyon technical efficiencyand significantly positive impact of geographical locationand technical efficiency was observed.Negative influence on technical efficiency of cotton and positive effect on technical efficiency of wheat in case of machinery andpositive impact of packing on technical efficiency was examined.The study showed that the cotton cultivationunder drip irrigation system (DI)gave a number of benefits tothefarmers over flood irrigation method. Reduction in fertilizers cost, pesticide cost, irrigation cost was observed. Similarly water was conserved and crop yield was significantly increased.The productivityvariance between flood and drip irrigated cotton exhibitedthat the investment in drip irrigation system was economically feasible.
Year2016
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. WM-16-17
TypeThesis
SchoolSchool of Engineering and Technology
DepartmentDepartment of Civil and Infrastucture Engineering (DCIE)
Academic Program/FoSWater Engineering and Management (WM)
Chairperson(s)Jourdain, Damien
Examination Committee(s)Babel, Mukand S.;Andriyas, Sanyogita
Scholarship Donor(s)Punjab Irrigation Department-World Bank
DegreeThesis (M. Eng.) - Asian Institute of Technology, 2016


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