Performance Assessment of Shirpur Water Supply Project

Authors

  • Hajari Harshita Manojsingh M. Tech in Civil Engineering – Construction Management DY Patil School of Engineering & Technology, Pune, Ambi
  • Dr. Rajesh Kherde M. Tech in Civil Engineering – Construction Management DY Patil School of Engineering & Technology, Pune, Ambi

Keywords:

unit production, system management, financial performance

Abstract

The basic level water supply coverage of Shirpur is 87.22% and among the water supply projects providing service to the people only 28.13% of the projects are fully functional. The reason behind this state of higher percentage of non-functionality and ill performance of developed projects is a matter of study. Thus, the main aim of this study is to access the overall performance; technical performance, financial performance and institutional performance with implementation status of water safety plan of Shirpur Water Supply Project; a water service provider supplying water to population of rapidly growing urban area of Shirpur City. Generating primary and secondary data from questionnaire survey, field visits, laboratory tests, focal group discussion, key informant interviews, journals, articles and annual reports, the performance indicators suggested by different national and international organizations for performance assessment of water service providers were analyzed. From data analysis, results regarding technical performance showed that water supply coverage of the project was 46.29%. Though the production population was 106 lpcd, per capita consumption was only 66.69 lpcd. The project supplied water for 24 hours a day through fully metered connections. The condition of physical structure was good giving a physical structure index of 78.89%. The distribution mains density was found to be 4.82 Km/Km2 and quality of water supplied was within Drinking Water Quality Standards, representing good performance in overall technical aspect. The unit production cost was found to be Rs. 12.05 per cubic meter of water but the average tariff was Rs. 12.59 per 5 cubic meters. The operating ratio was 0.97 and a non-revenue water of 37.99% lower in comparison to previous years indicating efficient system management and generating additional revenue for satisfactory financial performance.

References

Abebe, A.J., and Solomatine, D.P. (1998). “Application of global optimization to the design of pipe networks.” 3rd International Conferences on Hydroinformatics, Copenhagen, Denmark: 989-996.

• [2] Ackley, J.R.L., Tanyimboh T.T., Tahar B., and Templeman, A.B. (2001). "Head-driven analysis of water distribution systems." Water software systems: theory and applications, Ulanicki, B., Coulbeck, B, Rance, J., Editors. ISBN 0863802745, Chapter 3: 183-192.

• [3] Agrawal, M., Gupta, R., and Bhave, P. (2007). “Optimal Design of Level 1 Redundant Water Distribution Networks Considering Nodal Storage.” Journal of Environmental Engineering, 33(3): 319-330.

• [4] Alegre, H., Hirner, W., Baptista, J.M., and Parena, R. (2000). “Performance indicators for water supply services.” 1st edition, IWA publishing ‘Manuals of best practice’ series, ISBN 9781900222273, 160 pp.

• [5] Alperovits, E., and Shamir, U. (1977). “Design of optimal water distribution systems.” Water Resource Research; 13(6): 885-900.

• [6] Alvisi, S., Franchini, M., and Marinelli, A. (2007). “A short-term, pattern-based water demand-forecasting model.” Journal of Hydroinformatics; 9(1): 39-50.

• [7] Andresen, P.P., Lorch, R.P. and Rosegrant, M.W. (1997). “The World Food Situation: Recent Development, Emerging Issues and Long-term Prospects, Food Policy Report.” International Food Policy Research Institute, Washington D.C., USA.

• [8] Ang, W., and Jowitt, P.W. (2003). "Some observation on energy loss and network entropy in water distribution networks." Engineering Optimization; 35(4): 375-389.

• [9] Awumah, K., Goulter, I.C., and Bhatt, S.K. (1990). "Assessment of reliability in water distribution networks using entropy-based measures." Stochastic Hydrology Hydraulic; 4(4): 325-336.

• [10] Awumah, K, Goulter I.C., and Bhatt, S.K. (1991). "Entropy-based redundancy measures in water-distribution networks." Journal of Hydraulic Engineering; ASCE, 117(5): 595-614.

• [11] Awumah, K., and Goulter, I.C. (1992). "Maximizing entropy defined reliability of water distribution networks." Engineering Optimization; 20(1): 57-80.

• [12] AWWA (2001). “Dawn of the Replacement Era: Reinvesting in Drinking Water Infrastructure.” American Water Works Association, May.

• [13] Ayogu, M. (2007) “Infrastructure and Economic Development in Africa: A Review.” Journal of African Economies, 6, AERC Supplement 1: 75-126.

• [14] Babayan, A.V., Kapelan, Z., Savic, D.A., and Walters, G.A. (2005). “Least cost design of water distribution Networks under demand uncertainty.” Journal of Water Resource Planning and Management, ASCE; 131(5): 375-382.

• [15] Bakir, H. A. (2004) “Water Demand Management for Enhancing Water Supply Security: Concept, Applications and Innovations.” International Water Demand Management Conference, May 30–June 3, Dead Sea, Jordan.

• [16] Bao, Y., and Mays, L.W. (1990). "Model for water distribution system reliability." Journal of Hydraulic Engineering, ASCE; 116(9): 1119-1137.

• [17] Bhave, P.R. (1985). “Optimal expansion of water distribution systems.” Journal of Environmental Engineering; 111(2): 177-197.

• [18] Bhave, P.R. (1991). “Analysis of Flow in Water Distribution Networks.” Technocomic, Lancaster, Pa.

• [19] Boulos, P.F., and Altman, T. (1993). “Explicit calculation of water quality parameters in pipe distribution networks.” Journal of Civil Engineering and Environmental Systems; 10(1): 187-206.

• [20] Boulos, P.F., Altman, T., and Sadhal, K. (1992). “Computer modeling of water quality in large multiple source networks.” Journal of Applied Mathematical Modeling; 16(8): 439-445.

• [21] Boulos, P.F., Lansey, K.E., and Karney, B.W. (2006). “Comprehensive Water Distribution Systems Analysis Handbook for Engineers and Planners.” 2nd Edition, MWH Soft.

• [22] Brothers, K. (2001). “Using the IWA performance indicators and noise mapping for NRW reduction in Halifax, Nova Scotia, Canada.” IWA specialized conference, Brno, Czech Republic.

• [23] Bouchart, F., and Goulter, I. (1991). “Reliability improvements in design of water distribution networks recognizing valve location.” Water Resource Research; 27(12): 3029-3040.

• [24] Brookshire, D.S., Burness, H.S., Chermak, J.M., and Krause, K. (2002). “Western Urban Water

Downloads

Published

30-09-2022

How to Cite

Hajari Harshita Manojsingh, & Dr. Rajesh Kherde. (2022). Performance Assessment of Shirpur Water Supply Project. International Journal for Research Publication and Seminar, 13(4), 244–248. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/306

Issue

Vol. 13 No. 4 (2022): Vol 13 | Issue 4 | Jul - Sep 2022

Section

Original Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.