Regularized regression analysis for the prediction of virus inactivation efficiency by chloramine disinfection-Reference-Cited by-同舟云学术

Regularized regression analysis for the prediction of virus inactivation efficiency by chloramine disinfection

Published:2020 Issue:12 Volume:6 Page:3341-3350
ISSN:2053-1400
Container-title:Environmental Science: Water Research & Technology
language:en
Short-container-title:Environ. Sci.: Water Res. Technol.

Author:

Kadoya Syun-suke¹²³⁴⁵^ORCID,Nishimura Osamu¹²³⁴⁵,Kato Hiroyuki⁶³⁴⁵,Sano Daisuke¹²³⁴⁵^ORCID

Affiliation:

1. Department of Civil and Environmental Engineering

2. Graduate School of Engineering

3. Tohoku University

4. Sendai

5. Japan

6. New Industry Creation Hatchery Center

Abstract

The sparse modeling methods using water quality information as explanatory variables enable us to appropriately predict virus inactivation efficiency in wastewater treatment plants.

Funder

Research Institute for Humanity and Nature

Ministry of Land, Infrastructure, Transport and Tourism

Publisher

Royal Society of Chemistry (RSC)

Subject

Water Science and Technology,Environmental Engineering

Link

http://pubs.rsc.org/en/content/articlepdf/2020/EW/D0EW00539H

Reference59 articles.

1. Norovirus outbreak among students of a boarding school in Kluang, Johor, Malaysia

2. Role of rotavirus vaccination on an emerging G8P[8] rotavirus strain causing an outbreak in central Japan

3. Outbreak of Hepatitis A Virus Infection Among Adult Patients of a Mental Hospital — Los Angeles County, 2017

4. Notes from the Field: Circulating Vaccine-Derived Poliovirus Type 1 and Outbreak Response — Papua New Guinea, 2018

5. A swimming pool-associated outbreak of pharyngoconjunctival fever caused by human adenovirus type 4 in Beijing, China

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