140 related articles for article (PubMed ID: 36056480)
1. Flexible decision-making framework for developing operation protocol for water distribution systems.
Abhijith GR; Ostfeld A
J Environ Manage; 2022 Oct; 320():115817. PubMed ID: 36056480
[TBL] [Abstract][Full Text] [Related]
2. Risk-based framework for optimizing residual chlorine in large water distribution systems.
Sharif MN; Farahat A; Haider H; Al-Zahrani MA; Rodriguez MJ; Sadiq R
Environ Monit Assess; 2017 Jul; 189(7):307. PubMed ID: 28573352
[TBL] [Abstract][Full Text] [Related]
3. Optimizing booster chlorination in water distribution networks: a water quality index approach.
Islam N; Sadiq R; Rodriguez MJ
Environ Monit Assess; 2013 Oct; 185(10):8035-50. PubMed ID: 23532783
[TBL] [Abstract][Full Text] [Related]
4. Making waves: Applying systems biology principles in water distribution systems engineering.
Abhijith GR; Ostfeld A
Water Res; 2022 Jul; 219():118527. PubMed ID: 35567846
[TBL] [Abstract][Full Text] [Related]
5. Inexact left-hand side two-stage chance-constrained programming for booster optimization in water distribution system.
Wang Y; Zhu G
J Environ Manage; 2021 Nov; 298():113372. PubMed ID: 34352481
[TBL] [Abstract][Full Text] [Related]
6. Optimization of disinfectant dosage for simultaneous control of lead and disinfection-byproducts in water distribution networks.
Maheshwari A; Abokifa A; Gudi RD; Biswas P
J Environ Manage; 2020 Dec; 276():111186. PubMed ID: 32906070
[TBL] [Abstract][Full Text] [Related]
7. Integrated EPANET-MSX process models of chlorine and its by-products in drinking water distribution systems.
Fisher IH
Water Environ Res; 2023 Dec; 95(12):e10949. PubMed ID: 38056599
[TBL] [Abstract][Full Text] [Related]
8. Inexact [Formula: see text] fuzzy chance-constrained programming of booster chlorination for water distribution system under uncertainty.
Wang Y
Environ Monit Assess; 2021 Apr; 193(5):300. PubMed ID: 33895884
[TBL] [Abstract][Full Text] [Related]
9. Review of Nitrification Monitoring and Control Strategies in Drinking Water System.
Hossain S; Chow CWK; Cook D; Sawade E; Hewa GA
Int J Environ Res Public Health; 2022 Mar; 19(7):. PubMed ID: 35409686
[TBL] [Abstract][Full Text] [Related]
10. Effects of changing supply water quality on drinking water distribution networks: Changes in NOM optical properties, disinfection byproduct formation, and Mn deposition and release.
Kurajica L; Ujević Bošnjak M; Kinsela AS; Štiglić J; Waite TD; Capak K; Pavlić Z
Sci Total Environ; 2021 Mar; 762():144159. PubMed ID: 33360458
[TBL] [Abstract][Full Text] [Related]
11. Population diversity in model potable water biofilms receiving chlorine or chloramine residual.
Williams MM; Santo Domingo JW; Meckes MC
Biofouling; 2005; 21(5-6):279-88. PubMed ID: 16522541
[TBL] [Abstract][Full Text] [Related]
12. Chloramines in a pilot-scale water distribution system: Transformation of 17β-estradiol and formation of disinfection byproducts.
He G; Li C; Dong F; Zhang T; Chen L; Cizmas L; Sharma VK
Water Res; 2016 Dec; 106():41-50. PubMed ID: 27697683
[TBL] [Abstract][Full Text] [Related]
13. Multi-objective optimization of water quality, pumps operation, and storage sizing of water distribution systems.
Kurek W; Ostfeld A
J Environ Manage; 2013 Jan; 115():189-97. PubMed ID: 23262407
[TBL] [Abstract][Full Text] [Related]
14. Joint majorization of waterworks and secondary chlorination points considering the chloric odor and economic investment in the DWDS using machine learning and optimization algorithms.
Mao R; Zhang K; Zhang Q; Xu J; Cen C; Pan R; Zhang T
Water Res; 2022 Jul; 220():118595. PubMed ID: 35613482
[TBL] [Abstract][Full Text] [Related]
15. Mixing of arsenic-rich groundwater and surface water in drinking water distribution systems: Implications for contaminants, disinfection byproducts and organic components.
Kurajica L; Ujević Bošnjak M; Kinsela AS; Bieroza M; Štiglić J; Waite TD; Capak K; Romić Ž
Chemosphere; 2022 Apr; 292():133406. PubMed ID: 34958791
[TBL] [Abstract][Full Text] [Related]
16. Heavy metal concentrations in rivers and drinking water of Esmeraldas (Ecuador) under an intermittent water supply service.
Molinero J; Cipriani-Avila I; Barrado M
Environ Monit Assess; 2021 Nov; 193(12):775. PubMed ID: 34741668
[TBL] [Abstract][Full Text] [Related]
17. Spatio-temporal variability of halogenated disinfection by-products in a large-scale two-source water distribution system with enhanced chlorination.
Dong F; Pang Z; Yu J; Deng J; Li X; Ma X; Dietrich AM; Deng Y
J Hazard Mater; 2022 Feb; 423(Pt A):127113. PubMed ID: 34523488
[TBL] [Abstract][Full Text] [Related]
18. [Development and application of a multi-species water quality model for water distribution systems with EPANET-MSX].
Sun F; Chen JN; Zeng SY
Huan Jing Ke Xue; 2008 Dec; 29(12):3360-7. PubMed ID: 19256368
[TBL] [Abstract][Full Text] [Related]
19. Modeling the formation of trihalomethanes in rural and semi-urban drinking water distribution networks of Costa Rica.
Kelly-Coto DE; Gamboa-Jiménez A; Mora-Campos D; Salas-Jiménez P; Silva-Narváez B; Jiménez-Antillón J; Pino-Gómez M; Romero-Esquivel LG
Environ Sci Pollut Res Int; 2022 May; 29(22):32845-32854. PubMed ID: 35020142
[TBL] [Abstract][Full Text] [Related]
20. Bottled water quality ranking via the multiple-criteria decision-making process: a case study of two-stage fuzzy AHP and TOPSIS.
Nabizadeh R; Yousefzadeh S; Yaghmaeian K; Alimohammadi M; Mokhtari Z
Environ Sci Pollut Res Int; 2022 Mar; 29(14):20437-20448. PubMed ID: 34735703
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
