Identification of primary effecters of N2O emissions from full-scale biological nitrogen removal systems using random forest approach-Reference-Cited by-同舟云学术

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Identification of primary effecters of N2O emissions from full-scale biological nitrogen removal systems using random forest approach

Published:2020-10 Issue: Volume:184 Page:116144
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Song Min Joon,Choi Sangki,Bae Wo Bin,Lee Jaejin,Han Heejoo,Kim Daehyun D.,Kwon Miye,Myung Jaewook,Kim Young Mo,Yoon Sukhwan

Funder

R&D Center for reduction of Non-CO2 Greenhouse gases

Korea Ministry of Environment

Global Top Environment R&D Program

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

Reference58 articles.

1. Nitrous oxide emissions and dissolved oxygen profiling in a full-scale nitrifying activated sludge treatment plant;Aboobakar;Water Res.,2013

2. N2O emissions from activated sludge processes, 2008-2009: results of a national monitoring survey in the United States;Ahn;Environ. Sci. Technol.,2010

3. Standard Methods for the Examination of Water and Wastewater;Apha,2017

4. Random forests;Breiman;Mach. Learn.,2001

5. Protocol for the measurement of nitrous oxide fluxes from biological wastewater treatment plants;Chandran;Methods Enzymol.,2011

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