Literature DB >> 30506416

Spatial dynamic assessment of health risks for urban river cruises.

Cheng-Shin Jang1, Ching-Ping Liang2, Shih-Kai Chen3.   

Abstract

River cruising ships move along river courses, and thus health risks to passengers may vary spatially due to the accidental exposure of river fecal pollution. This study performed a spatial dynamic assessment of health risks for river cruises in the highly urbanized Tamsui River Basin. First, the spatial distributions of river Escherichia coli (E. coli) were probabilistically characterized using indicator kriging (IK). Moreover, the current river cruise information was surveyed to obtain cruise routes and transit times. Then, to explore the parametric uncertainty of quantitative microbial risk assessment (QMRA), the ingestion rate (IR) for boating was determined using Monte Carlo simulation (MCS). Moreover, river E. coli distributions were estimated using nonparametric MCS according to multi-threshold IK estimates. Eventually, after combining the distribution of the joint probability of the IR and E. coli in QMRA, the β-Poisson dose-response function was adopted to analyze risks to river cruise passengers at discretized segments of cruise routes. Health risks to river cruise passengers were integrated at the discretized segments to explore suitable recreational strategies for river cruises. The research results indicate that all health risks do not exceed a daily target level of 8 illnesses per 1000 exposures for single-trip cruise routes. However, health risks to passengers can exceed this level for round-trip cruise routes along highly polluted urban river courses.

Entities:  

Keywords:  Escherichia coli; Indicator kriging; Monte Carlo simulation; Quantitative microbial risk assessment; River cruise; Uncertainty

Mesh:

Year:  2018        PMID: 30506416     DOI: 10.1007/s10661-018-7122-4

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  20 in total

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2.  Microbial risk assessment for recreational use of the Chicago area waterway system.

Authors:  G Rijal; J K Tolson; C Petropoulou; T C Granato; A Glymph; C Gerba; M F Deflaun; C O'Connor; L Kollias; R Lanyon
Journal:  J Water Health       Date:  2011-03       Impact factor: 1.744

Review 3.  Sorption, transport and biodegradation - An insight into bioavailability of persistent organic pollutants in soil.

Authors:  Xiaoya Ren; Guangming Zeng; Lin Tang; Jingjing Wang; Jia Wan; Yani Liu; Jiangfang Yu; Huan Yi; Shujing Ye; Rui Deng
Journal:  Sci Total Environ       Date:  2017-08-30       Impact factor: 7.963

4.  Characterizing health risks associated with recreational swimming at Taiwanese beaches by using quantitative microbial risk assessment.

Authors:  Cheng-Shin Jang; Ching-Ping Liang
Journal:  Water Sci Technol       Date:  2018-01       Impact factor: 1.915

5.  Spatial analysis of potential carcinogenic risks associated with ingesting arsenic in aquacultural tilapia (Oreochromis mossambicus) in blackfoot disease hyperendemic areas.

Authors:  Cheng-Shin Jang; Chen-Wuing Liu; Kao-Hung Lin; Feng-Mei Huang; Sheng-Wei Wang
Journal:  Environ Sci Technol       Date:  2006-03-01       Impact factor: 9.028

6.  Assessment of the risks for human health of adenoviruses, hepatitis A virus, rotaviruses and enteroviruses in the Buffalo River and three source water dams in the Eastern Cape.

Authors:  Vincent N Chigor; Timothy Sibanda; Anthony I Okoh
Journal:  Food Environ Virol       Date:  2014-03-28       Impact factor: 2.778

7.  Development of a dose-response relationship for Escherichia coli O157:H7.

Authors:  C N Haas; A Thayyar-Madabusi; J B Rose; C P Gerba
Journal:  Int J Food Microbiol       Date:  2000-06-01       Impact factor: 5.277

8.  Assessment of microbial infection risks posed by ingestion of water during domestic water use and full-contact recreation in a mid-southern African region.

Authors:  M Steyn; P Jagals; B Genthe
Journal:  Water Sci Technol       Date:  2004       Impact factor: 1.915

9.  Modern space/time geostatistics using river distances: data integration of turbidity and E. coli measurements to assess fecal contamination along the Raritan River in New Jersey.

Authors:  Eric S Money; Gail P Carter; Marc L Serre
Journal:  Environ Sci Technol       Date:  2009-05-15       Impact factor: 9.028

10.  Estimation of river pollution index in a tidal stream using kriging analysis.

Authors:  Yen-Chang Chen; Hui-Chung Yeh; Chiang Wei
Journal:  Int J Environ Res Public Health       Date:  2012-08-29       Impact factor: 3.390

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