4.4 Article

QMRAcatch: Microbial Quality Simulation of Water Resources including Infection Risk Assessment

期刊

JOURNAL OF ENVIRONMENTAL QUALITY
卷 44, 期 5, 页码 1491-1502

出版社

AMER SOC AGRONOMY
DOI: 10.2134/jeq2015.01.0048

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资金

  1. Austrian Science Fund (FWF) as part of the Vienna Doctoral Programme on Water Resource Systems [W1219-N22]
  2. FWF [P22309-B20]
  3. project Groundwater Resource Systems Vienna - Government of Austria (Federal Ministry of Agriculture, Forestry, Environment and Water Management), the Government of Vienna
  4. European Agricultural Fund for Rural Development [LE 07-13]
  5. Austrian Science Fund (FWF) [P 22309] Funding Source: researchfish
  6. Austrian Science Fund (FWF) [P22309] Funding Source: Austrian Science Fund (FWF)

向作者/读者索取更多资源

Given the complex hydrologic dynamics of water catchments and conflicts between nature protection and public water supply, models may help to understand catchment dynamics and evaluate contamination scenarios and may support best environmental practices and water safety management. A catchment model can be an educative tool for investigating water quality and for communication between parties with different interests in the catchment. This article introduces an interactive computational tool, QMRAcatch, that was developed to simulate concentrations in water resources of Escherichia coli, a human-associated Bacteroidetes microbial source tracking (MST) marker, enterovirus, norovirus, Campylobacter, and Cryptosporidium as target microorganisms and viruses (TMVs). The model domain encompasses a main river with wastewater discharges and a floodplain with a floodplain river. Diffuse agricultural sources of TMVs that discharge into the main river are not included in this stage of development. The floodplain river is fed by the main river and may flood the plain. Discharged TMVs in the river are subject to dilution and temperature-dependent degradation. River travel times are calculated using the Manning-Gauckler-Strickler formula. Fecal deposits from wildlife, birds, and visitors in the floodplain are resuspended in flood water, runoff to the floodplain river, or infiltrate groundwater. Fecal indicator and MST marker data facilitate calibration. Infection risks from exposure to the pathogenic TMVs by swimming or drinking water consumption are calculated, and the required pathogen removal by treatment to meet a health-based quality target can be determined. Applicability of QMRAcatch is demonstrated by calibrating the tool for a study site at the River Danube near Vienna, Austria, using field TMV data, including a sensitivity analysis and evaluation of the model outcomes.

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