Water Research, Volume 177, 15 June 2020, 115788.
Tingting Xu, Giovanni Coco, Martin Neale
https://www.sciencedirect.com/science/article/pii/S0043135420303250
A predictive model of recreational water quality based on adaptive synthetic sampling algorithms and machine learning
Water-Related Disease News
Recent Posts
- Case Study: Bolivia and Wastewater Irrigation
- Journal of Water and Health, Volume 20, Issue 5, 1 May 2022
- Removal of bacterial plant pathogens in columns filled with quartz and natural sediments under anoxic and oxygenated conditions Author links open overlay panel
- Genotype-dependent kinetics of enterovirus inactivation by free chlorine and ultraviolet (UV) irradiation
- Surface-enhanced Raman spectroscopy enabled evaluation of bacterial inactivation
Archives
- June 2022 (22)
- May 2022 (10)
- April 2022 (1)
- March 2022 (10)
- February 2022 (22)
- January 2022 (19)
- December 2021 (18)
- November 2021 (8)
- October 2021 (13)
- September 2021 (23)
- August 2021 (25)
- July 2021 (6)
Categories
- Events (50)
- Awards (9)
- HRWM News (78)
- Projects (99)
- IWA News (10)
- Water-related Disease News (11)
- Featured Publications (608)
- Jobs (42)
Recent Comments
- Elabiyi Michael on Identifying water quality and environmental factors that influence indicator and pathogen decay in natural surface waters
- Terri on 3rd Regional IWA Diffuse Pollution Conference at Chiang Mai, Thailand (19-22 November 2018)
- Ricky Gutteridge on Hepatitis A – USA (11): (MI) raw sewage contact
- jasa on Solar photo-Fenton disinfection of 11 antibiotic-resistant bacteria (ARB) and elimination of representative AR genes. Evidence that antibiotic resistance does not imply resistance to oxidative treatment
- https://waterfallmagazine.com/ on Genetic characterization of fecal impacts of seagull migration on an urban scenery lake