Optimal Drinking Water Distribution System Designing using Network Analysis and Geospatial Technology

1
Joginder Singh Ahlawat
Joginder Singh Ahlawat
2
Joginder Ahlawat
Joginder Ahlawat
3
Saurabh Kumar Sah
Saurabh Kumar Sah
1 Pt. N R S Government College

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Water distribution systems are complex combination of the water pipes, mains, valves, hydrants, service lines, and storage facilities. This infrastructure is expensive but long-lived. Because it is largely out of sight, distribution infrastructure tends not to be a top priority in the management and financing of water systems. But as populations shift and pipes corrode, substantial ongoing investments are necessary. Water pipe line design of PMC area using geo-spatial technology has been done to provide the drinking water 24*7 at the consumer end. By incorporating the GPS location of the overhead tank in ARC GIS 9.3 and the details of the tank such as their pumping capacity, date of installation and their distribution pattern in the ward help to make an upgraded information about the existing water distribution. The pumps are not running to their full capacity after using new pipes 2 lpcd is achieved (increase of running hours of pumps). The shortest path analysis has been exercised to find the shortest path between the pump to the consumer tap as well as it will be proved conducive to reduce the cost of the piping.

13 Cites in Articles

References

  1. E Alperovits,U Shamir (1977). Design of optimal water distribution systems.
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  3. Pramod Bhave (1985). Optimal Expansion of Water Distribution Systems.
  4. Coley Da (2003). An Introduction to Genetic Algorithms for Scientists and Engineers.
  5. G Dandy,A Simpson,Murphy Lj (1996). An improved genetic algorithm for pipe network optimization.
  6. Deb Agrawal,S (1999). A niched-penalty approach for constrain handling in genetic algorithms.
  7. Gideon Eiger,Uri Shamir,Aharon Ben‐tal (1994). Optimal design of water distribution networks.
  8. O Fujiwara,Khang Db (1990). A two-phase decomposition method for optimal design of looped water distribution networks.
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  11. S Van Vuuren,P Van Rooyen,Van Van Zyl Je,M Dijk (2005). Application and Conceptual Development of Genetic Algorithms for Optimization in the Water Industry.
  12. Zheng Wu,Angus Simpson (2002). A self-adaptive boundary search genetic algorithm and its application to water distribution systems.
  13. Z Wu,T Walski (2005). Self-adaptive penalty approach compared with other constrain-handling techniques for pipeline optimization.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Joginder Singh Ahlawat. 2017. \u201cOptimal Drinking Water Distribution System Designing using Network Analysis and Geospatial Technology\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 17 (GJHSS Volume 17 Issue B2): .

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GJHSS Volume 17 Issue B2
Pg. 59- 65
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Crossref Journal DOI 10.17406/GJHSS

Print ISSN 0975-587X

e-ISSN 2249-460X

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June 6, 2017

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English

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Water distribution systems are complex combination of the water pipes, mains, valves, hydrants, service lines, and storage facilities. This infrastructure is expensive but long-lived. Because it is largely out of sight, distribution infrastructure tends not to be a top priority in the management and financing of water systems. But as populations shift and pipes corrode, substantial ongoing investments are necessary. Water pipe line design of PMC area using geo-spatial technology has been done to provide the drinking water 24*7 at the consumer end. By incorporating the GPS location of the overhead tank in ARC GIS 9.3 and the details of the tank such as their pumping capacity, date of installation and their distribution pattern in the ward help to make an upgraded information about the existing water distribution. The pumps are not running to their full capacity after using new pipes 2 lpcd is achieved (increase of running hours of pumps). The shortest path analysis has been exercised to find the shortest path between the pump to the consumer tap as well as it will be proved conducive to reduce the cost of the piping.

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Optimal Drinking Water Distribution System Designing using Network Analysis and Geospatial Technology

Joginder Ahlawat
Joginder Ahlawat
Saurabh Kumar Sah
Saurabh Kumar Sah

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