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Stream/Area:
-
Subject:
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Paper ID:
10.55041/IJSREM.FCE026
Volume:
10 |
8 |
Aug 2026
Pages:
1-11
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Civil Engineering
Ashokrao Mane Group of Institutions
Civil Engineering
Ashokrao Mane Group of Institutions
Domestic water distribution systems in rural and semi-urban settlements frequently operate with intermittent supply, unequal pressure, ageing assets, manual operation and limited maintenance planning. This research paper is prepared from the Nidhori village domestic water distribution dataset with a focused scope on two objectives: reviewing and analysing the existing domestic water distribution system and integrating construction management principles into water distribution planning. The case network consists of an overhead tank, eight PVC pipe segments and eight principal demand nodes. Pipeline diameter varies from 150 mm to 50 mm, pipe age varies from 6 to 12 years and node elevation decreases from 610 m at the overhead tank to 594 m at the tail end. The observed hydraulic data show that flow reduces from 13.0 L/s at the source to 2.6 L/s at node N8, pressure decreases from 3.0 bar to 0.5 bar, and daily supply duration reduces from 3.0 hours to 1.0 hour. The total calculated domestic demand is 151,500 L/day, while the existing overhead tank capacity is 150,000 L, indicating a narrow storage margin and a small deficit under the baseline demand condition. Leakage varies within approximately 5-12%, with P1 and P8 requiring early attention. The paper proposes a construction-management framework based on work breakdown structure, risk-based pipe prioritisation, resource scheduling, quality control, safety planning and phased implementation. The results show that reliable water service improvement depends not only on hydraulic redesign, but also on organised execution, maintenance sequencing and decision-oriented asset management.
KEYWORDS
This 10-page objective-focused research paper reviewed and analysed the existing domestic water distribution system of Nidhori village and integrated construction management principles into water distribution planning. The review found that the network consists of an overhead tank and eight major PVC pipe segments with diameters from 150 mm to 50 mm and ages from 6 to 12 years. The hydraulic analysis showed a strong decline from the source to the tail end: flow decreased from 13.0 L/s to 2.6 L/s, pressure decreased from 3.0 bar to 0.5 bar and supply duration reduced from 3.0 hours to 1.0 hour per day. The calculated domestic demand was 151,500 L/day against an available overhead tank capacity of 150,000 L, indicating a narrow storage margin and a baseline deficit of 1,500 L/day. Leakage levels of about 5-12% and poor pipe condition at P7 and P8 show that service improvement should begin with targeted leakage control and asset renewal. The construction management framework proposed in the paper converts hydraulic deficiencies into work packages, priority ranking, resource planning, quality checks and phased implementation. The most important early actions are P1 leakage repair, P7-P8 condition verification, P8 replacement planning, N6-N8 pressure monitoring and supply-duration balancing. The study concludes that water distribution improvement should not rely only on new construction or storage expansion. A more economical and reliable strategy is to combine existing-system review, demand-service analysis, leakage prioritization and construction-management-based execution.
[1] R. L. Taloma, Jr. and R. L. Taloma, "Advancements in IoT and LPWAN technologies for smart meter data analytics in intelligent water distribution systems: A comprehensive application-oriented review," Smart Water Systems Journal, vol. 18, no. 2, pp. 112-140, 2025. [2] P. Li, L. Zhang, and F. Wu, "A smart energy-water systems framework based on Deep Q-Networks and multi-objective evolutionary optimization," Energy Informatics, vol. 12, no. 3, pp. 221-245, 2025. [3] Z. Hu, J. Chen, and Y. Zhao, "Integrated CF-SVM modelling for pipeline rupture risk prediction in urban water distribution networks," Urban Water Journal, vol. 33, no. 2, pp. 190-214, 2025. [4] C. Cui, S. Liu, and Q. Huang, "A hierarchical coordination-equilibrium framework for evaluating water supply-demand relationships," Water Resources Management, vol. 39, no. 4, pp. 455-482, 2025. [5] N. Mumtaz, R. Ali, and T. Siddiqui, "IoT-enabled automation for enhancing water security," Journal of Water Process Engineering, vol. 58, Art. no. 104672, 2025. [6] F. A. S. Islam, T. Rahman, and S. Hossain, "AI-driven predictive modelling for potable water quality classification," Environmental Monitoring and Assessment, vol. 197, no. 3, pp. 77-95, 2025. [7] T. Tanchangya, M. Hossain, and N. Roy, "Deep learning applications in modern water systems," Journal of Water Informatics and Intelligence, vol. 9, no. 1, pp. 55-88, 2024. [8] Y. Asadi, "Handling class imbalance in predictive modelling of water pipe failures using XGBoost," Infrastructure Analytics Journal, vol. 5, no. 1, pp. 44-63, 2024. [9] G. M. Komba, M. Hassan, and S. Ngoma, "Leak detection in water distribution networks using hybrid SVM-Random Forest ensemble learning," Water Supply, vol. 24, no. 1, pp. 96-115, 2024. [10] D. Du, H. Chen, and Y. Wang, "Multimodal intelligent building systems for smart energy optimization," Building and Environment, vol. 245, Art. no. 110986, 2024.
Publication Date
8/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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