137 related articles for article (PubMed ID: 25700352)
1. A real time method of contaminant classification using conventional water quality sensors.
Liu S; Che H; Smith K; Chang T
J Environ Manage; 2015 May; 154():13-21. PubMed ID: 25700352
[TBL] [Abstract][Full Text] [Related]
2. Contaminant classification using cosine distances based on multiple conventional sensors.
Liu S; Che H; Smith K; Chang T
Environ Sci Process Impacts; 2015 Feb; 17(2):343-50. PubMed ID: 25529552
[TBL] [Abstract][Full Text] [Related]
3. Contamination event detection using multiple types of conventional water quality sensors in source water.
Liu S; Che H; Smith K; Chen L
Environ Sci Process Impacts; 2014 Aug; 16(8):2028-38. PubMed ID: 24953418
[TBL] [Abstract][Full Text] [Related]
4. A multivariate based event detection method and performance comparison with two baseline methods.
Liu S; Smith K; Che H
Water Res; 2015 Sep; 80():109-18. PubMed ID: 25996758
[TBL] [Abstract][Full Text] [Related]
5. A canonical correlation analysis based method for contamination event detection in water sources.
Li R; Liu S; Smith K; Che H
Environ Sci Process Impacts; 2016 Jun; 18(6):658-66. PubMed ID: 27264637
[TBL] [Abstract][Full Text] [Related]
6. Online Classification of Contaminants Based on Multi-Classification Support Vector Machine Using Conventional Water Quality Sensors.
Huang P; Jin Y; Hou D; Yu J; Tu D; Cao Y; Zhang G
Sensors (Basel); 2017 Mar; 17(3):. PubMed ID: 28335400
[TBL] [Abstract][Full Text] [Related]
7. Integrating fuzzy logic with Pearson correlation to optimize contaminant detection in water distribution system with uncertainty analyses.
Osmani SA; Banik BK; Ali H
Environ Monit Assess; 2019 Jun; 191(7):441. PubMed ID: 31203453
[TBL] [Abstract][Full Text] [Related]
8. Real-time contaminant detection and classification in a drinking water pipe using conventional water quality sensors: techniques and experimental results.
Jeffrey Yang Y; Haught RC; Goodrich JA
J Environ Manage; 2009 Jun; 90(8):2494-506. PubMed ID: 19269081
[TBL] [Abstract][Full Text] [Related]
9. Why conventional detection methods fail in identifying the existence of contamination events.
Liu S; Li R; Smith K; Che H
Water Res; 2016 Apr; 93():222-229. PubMed ID: 26905801
[TBL] [Abstract][Full Text] [Related]
10. A method of detecting contamination events using multiple conventional water quality sensors.
Liu S; Che H; Smith K; Chen C
Environ Monit Assess; 2015 Jan; 187(1):4189. PubMed ID: 25467418
[TBL] [Abstract][Full Text] [Related]
11. Network hydraulics inclusion in water quality event detection using multiple sensor stations data.
Oliker N; Ostfeld A
Water Res; 2015 Sep; 80():47-58. PubMed ID: 25996752
[TBL] [Abstract][Full Text] [Related]
12. A coupled classification - evolutionary optimization model for contamination event detection in water distribution systems.
Oliker N; Ostfeld A
Water Res; 2014 Mar; 51():234-45. PubMed ID: 24268294
[TBL] [Abstract][Full Text] [Related]
13. Efficiency of source control systems for reducing runoff pollutant loads: feedback on experimental catchments within Paris conurbation.
Bressy A; Gromaire MC; Lorgeoux C; Saad M; Leroy F; Chebbo G
Water Res; 2014 Jun; 57():234-46. PubMed ID: 24726993
[TBL] [Abstract][Full Text] [Related]
14. Performance evaluation for three pollution detection methods using data from a real contamination accident.
Liu S; Che H; Smith K; Lei M; Li R
J Environ Manage; 2015 Sep; 161():385-391. PubMed ID: 26209760
[TBL] [Abstract][Full Text] [Related]
15. Camera sensor-based contamination detection for water environment monitoring.
Wang Y; Zhang X; Chen J; Cheng Z; Wang D
Environ Sci Pollut Res Int; 2019 Jan; 26(3):2722-2733. PubMed ID: 30484049
[TBL] [Abstract][Full Text] [Related]
16. Groundwater quality assessment of one former industrial site in Belgium using a TRIAD-like approach.
Crévecoeur S; Debacker V; Joaquim-Justo C; Gobert S; Scippo ML; Dejonghe W; Martin P; Thomé JP
Environ Pollut; 2011 Oct; 159(10):2461-6. PubMed ID: 21764196
[TBL] [Abstract][Full Text] [Related]
17. Whole-cell biochips for online water monitoring.
Elad T; Belkin S
Bioeng Bugs; 2012; 3(2):124-8. PubMed ID: 22179148
[TBL] [Abstract][Full Text] [Related]
18. Contaminant point source localization error estimates as functions of data quantity and model quality.
Hansen SK; Vesselinov VV
J Contam Hydrol; 2016 Oct; 193():74-85. PubMed ID: 27639975
[TBL] [Abstract][Full Text] [Related]
19. Tools for water quality monitoring and mapping using paper-based sensors and cell phones.
Sicard C; Glen C; Aubie B; Wallace D; Jahanshahi-Anbuhi S; Pennings K; Daigger GT; Pelton R; Brennan JD; Filipe CD
Water Res; 2015 Mar; 70():360-9. PubMed ID: 25546358
[TBL] [Abstract][Full Text] [Related]
20. A robust approach for iterative contaminant source location and release history recovery.
Sun AY; Painter SL; Wittmeyer GW
J Contam Hydrol; 2006 Dec; 88(3-4):181-96. PubMed ID: 16889871
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]