IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: May 2024

Volume 9 | Issue 5

Impact factor: 8.15

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Paper Title: Evaluation of well organized water supply system using convolutional neural networks
Authors Name: Shwetal Ramesh Bantey
Unique Id: IJSDR2403006
Published In: Volume 9 Issue 3, March-2024
Abstract: well-organized water supply scheme is required for effective utilization of water. water is essential for drinking, cooking, bathing, washing, watering, firefighting, etc. a well-organized sewage system is also important for proper disposal of waste water. Water is an essential element of life and must be treated properly. This study gives an overview of performance of various design and functional characteristics of the used hybrid system its was observed for the first week analysis as mall increase in the pH value was observed with average value of 1.33%.An incremental decrease in total solid within the range of nearly 85 to 90%.A considerable decrease in range of 75 to 80 %was observed in the BOD value for sample.2 For 2nd week an decrease of 1% was observed in the pH value for sample increase in total solids with the range of 80 to 90% was observed .An average decrease is observed in the BOD of range 70 to80 % value.
Keywords: BOD, pollution, sewage
Cite Article: "Evaluation of well organized water supply system using convolutional neural networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.9, Issue 3, page no.30 - 55, March-2024, Available :http://www.ijsdr.org/papers/IJSDR2403006.pdf
Downloads: 000337363
Publication Details: Published Paper ID: IJSDR2403006
Registration ID:210262
Published In: Volume 9 Issue 3, March-2024
DOI (Digital Object Identifier):
Page No: 30 - 55
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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