BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 29908500)

  • 1. New approach for point pollution source identification in rivers based on the backward probability method.
    Wang J; Zhao J; Lei X; Wang H
    Environ Pollut; 2018 Oct; 241():759-774. PubMed ID: 29908500
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Location and release time identification of pollution point source in river networks based on the Backward Probability Method.
    Ghane A; Mazaheri M; Mohammad Vali Samani J
    J Environ Manage; 2016 Sep; 180():164-71. PubMed ID: 27219462
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis.
    Zhu Y; Chen Z; Asif Z
    Environ Pollut; 2021 Sep; 285():117497. PubMed ID: 34380214
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A DiffeRential Evolution Adaptive Metropolis (DREAM)-based inverse model for continuous release source identification in river pollution incidents: Quantitative evaluation and sensitivity analysis.
    Zhu Y; Cao H; Gao Z; Chen Z
    Environ Pollut; 2024 Apr; 347():123448. PubMed ID: 38309421
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development of a DREAM-based inverse model for multi-point source identification in river pollution incidents: Model testing and uncertainty analysis.
    Zhu Y; Chen Z
    J Environ Manage; 2022 Dec; 324():116375. PubMed ID: 36191500
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Using the backward probability method in contaminant source identification with a finite-duration source loading in a river.
    Khoshgou H; Neyshabouri SAAS
    Environ Sci Pollut Res Int; 2022 Jan; 29(4):6306-6316. PubMed ID: 34448145
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Release process identification of non-instantaneous point source pollution in rivers via reverse flow and pollution routing.
    Wang J; Zhao J; Lei X; Zhao T; Wang H
    Environ Res; 2022 Oct; 213():113704. PubMed ID: 35716818
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Bayesian approach for evaluation of the effect of water quality model parameter uncertainty on TMDLs: A case study of Miyun Reservoir.
    Liang S; Jia H; Xu C; Xu T; Melching C
    Sci Total Environ; 2016 Aug; 560-561():44-54. PubMed ID: 27093122
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Industrial pollution and the management of river water quality: a model of Kelani River, Sri Lanka.
    Gunawardena A; Wijeratne EMS; White B; Hailu A; Pandit R
    Environ Monit Assess; 2017 Aug; 189(9):457. PubMed ID: 28822043
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A framework of characteristics identification and source apportionment of water pollution in a river: a case study in the Jinjiang River, China.
    Chen H; Teng Y; Wang J
    Water Sci Technol; 2012; 65(11):2071-8. PubMed ID: 22592480
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Water Quality Planning in Rivers: Assimilative Capacity and Dilution Flow.
    Hashemi Monfared SA; Dehghani Darmian M; Snyder SA; Azizyan G; Pirzadeh B; Azhdary Moghaddam M
    Bull Environ Contam Toxicol; 2017 Nov; 99(5):531-541. PubMed ID: 28951956
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Temporal trend and source apportionment of water pollution in different functional zones of Qiantang River, China.
    Su S; Li D; Zhang Q; Xiao R; Huang F; Wu J
    Water Res; 2011 Feb; 45(4):1781-95. PubMed ID: 21147494
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Water quality assessment and apportionment of pollution sources using APCS-MLR and PMF receptor modeling techniques in three major rivers of South Florida.
    Haji Gholizadeh M; Melesse AM; Reddi L
    Sci Total Environ; 2016 Oct; 566-567():1552-1567. PubMed ID: 27317134
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Part 2. Development of Enhanced Statistical Methods for Assessing Health Effects Associated with an Unknown Number of Major Sources of Multiple Air Pollutants.
    Park ES; Symanski E; Han D; Spiegelman C
    Res Rep Health Eff Inst; 2015 Jun; (183 Pt 1-2):51-113. PubMed ID: 26333239
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Parameter uncertainty analysis of the non-point source pollution in the Daning River watershed of the Three Gorges Reservoir Region, China.
    Shen Z; Hong Q; Yu H; Liu R
    Sci Total Environ; 2008 Nov; 405(1-3):195-205. PubMed ID: 18639918
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Inverse identification of pollution source release information for surface river chemical spills using a hybrid optimization model.
    Jiang D; Zhu H; Wang P; Liu J; Zhang F; Chen Y
    J Environ Manage; 2021 Sep; 294():113022. PubMed ID: 34119995
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Parameter identification of river water quality models using a genetic algorithm.
    Liu X; Zhou Y; Hua Z; Chu K; Wang P; Gu L; Chen L
    Water Sci Technol; 2014; 69(4):687-93. PubMed ID: 24569265
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Inversion of multiple parameters for river pollution accidents using emergency monitoring data.
    Jing P; Yang Z; Zhou W; Huai W; Lu X
    Water Environ Res; 2019 Aug; 91(8):731-738. PubMed ID: 30849201
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Water quality variation in the highly disturbed Huai River Basin, China from 1994 to 2005 by multi-statistical analyses.
    Zhai X; Xia J; Zhang Y
    Sci Total Environ; 2014 Oct; 496():594-606. PubMed ID: 25108800
    [TBL] [Abstract][Full Text] [Related]  

  • 20. [Spatiotemporal variation analysis and identification of water pollution sources in the Zhangweinan River basin].
    Xu HS; Xu ZX; Tang FF; Yu WD; Cheng YP
    Huan Jing Ke Xue; 2012 Feb; 33(2):359-69. PubMed ID: 22509568
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.