Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

PFA2D Model for Smart Water Management

Print
PDF
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Roma A. Kudale, Trupti H. Gurav
10.5120/ijca2017913022

Roma A Kudale and Trupti H Gurav. PFA2D Model for Smart Water Management. International Journal of Computer Applications 160(8):10-13, February 2017. BibTeX

@article{10.5120/ijca2017913022,
	author = {Roma A. Kudale and Trupti H. Gurav},
	title = {PFA2D Model for Smart Water Management},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {8},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {10-13},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume160/number8/27092-2017913022},
	doi = {10.5120/ijca2017913022},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Water is essential for life as well as for the economy. Nowadays, to solve and manage the water scarcity is becoming challenging. With the reduction of water resources, the demand for quality water is increasing day by day. Water utilities are important to provide good quality water, but due to outdated or lack of sufficient infrastructure it becomes difficult. Along with this, water get wasted due to metering errors, leaks, pipe bursts, and becomes polluted because of industrial waste. To manage all these issues, water utilities have to come up with smart water management solutions and techniques. This paper proposes a mechanism that predicts the amount of water that can be made available for consumption, distribution, storage of Agriculture, Domestic, Industrial purposes. This mechanism takes into consideration four important factors – current population, current water levels from water reserves, amount of rainfall, amount of water currently consumed. By this mechanism, it will be possible to make predictions as to, how much water should be made available based on the available statistics.

References

  1. Wael M. Khairy, M. Safwat Abdel-Dayem, Tommy L. Coleman,” DETERMINING A BETTER WATER MANAGEMENT USING A GEOGRAPHICAL TECHNIQUE – A CASE STUDY IN EGYPT” 2001 IEEE.
  2. Anjana S, Sahana M N, Ankith S, K Natarajan4, K R Shobha “ An IoT based 6LoWPAN enabled Experiment for Water Management” at IEEE ANTS 2015.
  3. Weimin Chen, Jia Liao , Xiuyun Wu, Kun Wang,” Research and Application of 3D GIS Technology on the Delineation and Management of Urban Drinking Water Source Protection Area” at Intrenational Symposium on Geomatics for integrated water resource management (GIWRM) 2012.
  4. C. E. Hidaka J. Jasperse H. R. Kolar R. P. Williams, “Collaboration platforms in smarter water management” at IBM journal march 2011
  5. Cuiyun Gao, Linbo Jin, Wanggen Wan, Rui Wang,” GANN-BASED PREDICTION OF FRESH WATER RESOURCES” at IET International conference on smart and sustainable city 2013, pages 79-83
  6. Marius RATA, Tudor Viorel BLIDARU, Dr. Paul Serban AGACHI,” GIS Data Modeling -in Water Management Decision Support Systems” at IEEE conference 2014.
  7. Zifu Li*, W. F. Geiger**, Xin Jin*,”New Concept for Water Management in Urban Areas of China” at IEEE, 2009.
  8. Simei Zhang,” The overview of prediction methods of urban domestic water consumption”, research article at Journal of Chemical and Pharmaceutical Research, 2013, 5(9):416-419.
  9. B Dr. Prakash Somalkar,” WATER MANAGEMENT IN MAHARASHTRA” at Abhinav National monthly refereed journal of research in commerce and management, Volume no.1, Issue no.11, ISSN 2277-1166.
  10. Haiquan Yangl,2,Dingtao Shenl,2,Huang Huang,” A WebGIS-based Monitoring and Early-warning System for Geological Disasters” at 23rd international conference on geo-informatics 2015.

Keywords

IoT, smart water management, water problem.