Identification of MIB producers and odor risk assessment using routine data: A case study of an estuary drinking water reservoir-Reference-Cited by-同舟云学术

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Identification of MIB producers and odor risk assessment using routine data: A case study of an estuary drinking water reservoir

Published:2021-03 Issue: Volume:192 Page:116848
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Su Ming^ORCID,Zhu Yiping^ORCID,Jia Zeyu,Liu Tingting,Yu Jianwei,Burch Michael,Yang Min

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference39 articles.

1. Algae: Source to Treatment;AWWA,2010

2. Oscillatoria brevis (Kutz.) Gom. and some other especially odouriferous benthic cyanophytes in norwegian inland waters;Berglind;Water Sci. Technol.,1983

3. An alternative method to quantify 2-MIB producing cyanobacteria in drinking water reservoirs: method development and field applications;Chiu;Environ. Res.,2016

4. Critical review and rethinking of USEPA secondary standards for maintaining organoleptic quality of drinking water;Dietrich;Environ. Sci. Technol.,2015

5. Biosynthesis of 2-methylisoborneol in cyanobacteria;Giglio;Environ. Sci. Technol.,2011

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1. Optimizing UVA and UVC synergy for effective control of harmful cyanobacterial blooms;Environmental Science and Ecotechnology;2024-11

2. Outbreak of 2-methylisoborneol in a drinking water reservoir attributed to the cyanobacterium Pseudanabaena sp.;Journal of Oceanology and Limnology;2024-09-05

3. Spatiotemporal dynamics of 2-methylisoborneol produced by filamentous cyanobacteria and associated driving factors in Lake Taihu, China;Harmful Algae;2024-09

4. Effect of Culture Temperature on 2-Methylisoborneol Production and Gene Expression in Two Strains of Pseudanabaena sp.;Cells;2024-08-20

5. Integration of nontarget analysis with machine learning modeling for prioritization of odorous volatile organic compounds in surface water;Journal of Hazardous Materials;2024-06

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