The effect of the individual chart with variable control limits on the river pollution monitoring

Pei-Hsi Lee (), Yi-Hsien Huang (), Tsen-I Kuo () and Ching-Cheng Wang ()

Quality & Quantity: International Journal of Methodology, 2013, vol. 47, issue 4, 1803-1812

Abstract: This study performs a model to evaluate the river water quality monitoring system. The standard River Pollution Index which includes dissolved oxygen (DO), biochemical oxygen demand (BOD 5 ), suspended solids (SS), and ammonia nitrogen (NH 3 -N) is collected from years 2006 to 2010 for monitoring of river water quality. Furthermore, control chart technology can monitor the river pollution and signal the aggravation of water quality. This study proposes an individual control chart with variable control limits (VCL individual chart) and verifies this chart can quickly signal the mean change of both normal can skew populations in statistical performances. In addition, this study also presents a real case that VCL individual chart is applied on monitoring the water quality of Taiwan’s river. This case shows the VCL individual chart controls successfully the river pollution, and this chart is very suitable to apply monitoring the water quality of rivers. Copyright Springer Science+Business Media B.V. 2013

Keywords: River pollution; Individual control chart; Variable control limits; River pollution index; Statistical design (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1007/s11135-011-9627-6 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:47:y:2013:i:4:p:1803-1812

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11135-011-9627-6

Access Statistics for this article

Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi

More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().