Development of Software Sensors for Determining Total Phosphorus and Total Nitrogen in Waters

Eunhyoung Lee, Sanghoon Han and Hyunook Kim
Additional contact information
Eunhyoung Lee: Cubic Co., Ltd. Migun Technoworld, 533 Yongsan-dong, Yuseong-gu, Daejeon, 305-500, Korea
Sanghoon Han: Cubic Co., Ltd. Migun Technoworld, 533 Yongsan-dong, Yuseong-gu, Daejeon, 305-500, Korea
Hyunook Kim: Department of Environmental Engineering, University of Seoul, 90 Jeonnong-dong, Dongdaemun-gu, Seoul 130-743, Korea

IJERPH, 2013, vol. 10, issue 1, 1-18

Abstract: Total nitrogen (TN) and total phosphorus (TP) concentrations are important parameters to assess the quality of water bodies and are used as criteria to regulate the water quality of the effluent from a wastewater treatment plant (WWTP) in Korea. Therefore, continuous monitoring of TN and TP using in situ instruments is conducted nationwide in Korea. However, most in situ instruments in the market are expensive and require a time-consuming sample pretreatment step, which hinders the widespread use of in situ TN and TP monitoring. In this study, therefore, software sensors based on multiple-regression with a few easily in situ measurable water quality parameters were applied to estimate the TN and TP concentrations in a stream, a lake, combined sewer overflows (CSOs), and WWTP effluent. In general, the developed software sensors predicted TN and TP concentrations of the WWTP effluent and CSOs reasonably well. However, they showed relatively lower predictability for TN and TP concentrations of stream and lake waters, possibly because the water quality of stream and lake waters is more variable than that of WWTP effluent or CSOs.

Keywords: software sensor; total nitrogen; total phosphorus; multiple linear regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/10/1/219/pdf (application/pdf)
https://www.mdpi.com/1660-4601/10/1/219/ (text/html)

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:gam:jijerp:v:10:y:2013:i:1:p:219-236:d:22714

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().