TY - JOUR
T1 - Computing principles in formulating water quality informatics and indexing methods
T2 - An ample review
AU - Blessing, N. R.Wilfred
AU - Benedict, Shajulin
N1 - Publisher Copyright:
Copyright © 2017 American Scientific Publishers All rights reserved.
PY - 2017/4
Y1 - 2017/4
N2 - Software models used for examining water quality are considered as a tremendous asset in the advanced computing platforms. Smart, competent approaches are vital to work out the water data assortment, test, and analysis. Water Quality Index (WQI) is the most familiar mathematical illustration followed in examining the quality of water. In this article, we have reported the significance and variation of water quality computing technologies developed by water researchers around the globe. International organizations, environmental protection groups, and government agencies such as WHO (World Health Organization), USEPA (United States Environmental Protection Agency), and (Bureau of Indian Standards) form procedures and principles with parameter thresholds for water quality monitoring. These standards are compared for a thorough analysis of elements determining water quality, aiming at the development of new WQI, water quality informatics, and fresh computational methods. To preserve the precious natural water resources, intellectual computing are essential in the current computerized settings. Therefore, some of the major computing methods developed using the subdomains including, remote-sensing approaches, geographical information schemes, cloud-based models, mobile applications, data management types, and software approaches meant for the water quality estimation market are discussed. This study was intended to prepare a most essential ground for the water researchers to innovate better findings and smart models in water quality computing domain.
AB - Software models used for examining water quality are considered as a tremendous asset in the advanced computing platforms. Smart, competent approaches are vital to work out the water data assortment, test, and analysis. Water Quality Index (WQI) is the most familiar mathematical illustration followed in examining the quality of water. In this article, we have reported the significance and variation of water quality computing technologies developed by water researchers around the globe. International organizations, environmental protection groups, and government agencies such as WHO (World Health Organization), USEPA (United States Environmental Protection Agency), and (Bureau of Indian Standards) form procedures and principles with parameter thresholds for water quality monitoring. These standards are compared for a thorough analysis of elements determining water quality, aiming at the development of new WQI, water quality informatics, and fresh computational methods. To preserve the precious natural water resources, intellectual computing are essential in the current computerized settings. Therefore, some of the major computing methods developed using the subdomains including, remote-sensing approaches, geographical information schemes, cloud-based models, mobile applications, data management types, and software approaches meant for the water quality estimation market are discussed. This study was intended to prepare a most essential ground for the water researchers to innovate better findings and smart models in water quality computing domain.
KW - Computing
KW - Environmental modeling
KW - Water quality assessment software
KW - Water quality index
KW - Water quality sensors
KW - Water quality standards
UR - http://www.scopus.com/inward/record.url?scp=85021279218&partnerID=8YFLogxK
U2 - 10.1166/jctn.2017.6531
DO - 10.1166/jctn.2017.6531
M3 - Review article
AN - SCOPUS:85021279218
SN - 1546-1955
VL - 14
SP - 1671
EP - 1681
JO - Journal of Computational and Theoretical Nanoscience
JF - Journal of Computational and Theoretical Nanoscience
IS - 4
ER -