Works (2)

Updated: July 5th, 2023 15:27

2020 journal article

Reducing error in water distribution network simulations with field measurements

JOURNAL OF APPLIED WATER ENGINEERING AND RESEARCH, 8(1), 15–27.

By: H. Ricca n, J. Patskoski n & G. Mahinthakumar n

Contributors: H. Ricca n, J. Patskoski n & G. Mahinthakumar n

author keywords: Boundary condition; data collection; uncertainty reduction; water distribution modeling
TL;DR: This study quantifies the reduction in model error when considering demand uncertainty by incorporating pressure reducing valve monitoring, operational monitoring, and supervisory control and data acquisition (SCADA) system data. (via Semantic Scholar)
UN Sustainable Development Goal Categories
6. Clean Water and Sanitation (Web of Science; OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: February 27, 2020

2019 journal article

Modeling chloramine decay in full-scale drinking water supply systems

WATER ENVIRONMENT RESEARCH, 91(5), 441–454.

By: H. Ricca n, V. Aravinthan* & G. Mahinthakumar n

Contributors: H. Ricca n, V. Aravinthan* & G. Mahinthakumar n

author keywords: chloramine decay; EPANET-MSX; water distribution; water quality modeling
MeSH headings : Calibration; Chloramines / chemistry; Drinking Water / chemistry; Models, Chemical; Time Factors; Water Supply
TL;DR: A batch reaction model of chloramine decay over time due to autodecomposition reactions and additional reactions with NOM was developed and validated and the capabilities of the EPANET-MSX toolkit to model chloramine loss in a distribution network are explored. (via Semantic Scholar)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 29, 2019

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.