• DocumentCode
    2476972
  • Title

    Assessing microbes safety of rural drinking water in Ya´an, China

  • Author

    Ni, Fuquan ; Deng, Yu ; Zhang, Zhaocheng

  • Author_Institution
    Provincial Key Lab. of Sichuan Agric. Environ. Eng., Sichuan Agric. Univ., Ya´´an, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    7410
  • Lastpage
    7414
  • Abstract
    In this study, based on the total conforms (TC) and total bacteria (TB) detected in rural drinking water resources (RDWR) of Ya\´an, and applying exponential model and β-Poisson model of "low microbe content risk assessment", the quantitative evaluation of risk associated with TC count and TB in 221 water samples was developed. Results showed the annual risk values (ARV) of all the water samples were generally consistent within one order of magnitude, indicating the β-Poisson model and the exponential model were consistent when simulating the ARV associated with TC and TB. According to the requirements of Sanitary Standard for Drinking Water (GB5749-2006) and of Quality Standard for Groundwater (GB/T14848-93), TB and TC fail to meet the standard in most RDWR within the studied area. This study quantitatively reflected the relationship between the quality of RDWR and the residents\´ health, assisting the comprehensive evaluation of the health risk, improving the water supply and ensuring drinking water safety.
  • Keywords
    groundwater; health and safety; hydrological techniques; microorganisms; risk management; water resources; β-Poisson model; China; Yaan; drinking water sanitary standard; exponential model; groundwater quality standard; health risk; low microbe content risk assessment; microbe safety; resident health; rural drinking water resources; total bacteria; total conforms; water supply; Microorganisms; Reservoirs; Risk management; Rivers; Safety; Water pollution; β-Poisson model; Ya´an; bacteria; exponential model; risk assessment; rural drinking water (RDW);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5966082
  • Filename
    5966082