A Case study on Water Supply Network in Ward No.17 of Belagavi City.
Amar Byakodi
, Mr. Noorahmed A. H.
A reliable supply of clean, fresh and safe water is the most critical municipal service that people require. Many people use multiple sources of water. Some will prefer certain sources for drinking water and others for laundry, bathing, watering animals and irrigation. Belagavi district is the fourth largest district in Karnataka and has an average rainfall of about 808 mm usually with a substantial water table. As per the 2011 census, population of Belagavi is about six lakhs and contain 58 wards in total. Ward No. 17 has the population of 10,176 according to the 2011 census obtained from the city municipal commission. The number of houses in this ward is 1650. The people living in this area are middle class people. Present study focuses on water supply pipeline network and head loss in the selected study area. For the determination of head loss, ward No. 17 is divided into three areas: represented as area 1, area 2 and area 3. Total head loss through existing pipeline network in area 1 is 1.788m, similarly area 2 and area 3 has a head loss of 1.355 m and 1.258 m respectively. The existing pipeline network for the selected area is not autonomous, i.e. the pipelines are designed and laid including the demand for neighboring areas.
"A Case study on Water Supply Network in Ward No.17 of Belagavi City.", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.128 - 135, July-2016, Available :https://ijsdr.org/papers/IJSDR1607021.pdf
Volume 1
Issue 7,
July-2016
Pages : 128 - 135
Paper Reg. ID: IJSDR_160611
Published Paper Id: IJSDR1607021
Downloads: 000346998
Research Area: Engineering
Country: Belagavi, Karnataka, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave