Waterborne Disease Risk Assessment and Mapping for a Floating Village by Combining 3D Hydraulic Simulation and Quantitative Microbial Risk Assessment

Author:

Nakamura Takashi1ORCID,Fujii Hideto2,Watanabe Toru2ORCID,Ly Sarann3ORCID,Lun Sambo3,Fujihara Yoichi4ORCID,Hoshikawa Keisuke5,Miyanaga Kazuhiko6,Yoshimura Chihiro7ORCID

Affiliation:

1. Department of Transdisciplinary Science and Engineering, School of Environment and Society, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8502, Japan

2. Department of Food, Life and Environmental Sciences, Yamagata University, 1-23 Wakaba-machi, Tsuruoka 997-8555, Japan

3. Faculty of Hydrology and Water Resources Engineering, Institute of Technology of Cambodia, Russian Federation Blvd., Phnom Penh P.O. Box 86, Cambodia

4. Department of Environmental Science, Ishikawa Prefectural University, 1-308 Suematsu, Nonoichi 921-8836, Japan

5. Department of Environmental and Civil Engineering, Toyama Prefectural University, 5180 Kurokawa, Imizu 939-0398, Japan

6. Department of Infection and Immunity, School of Medicine, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke 329-0498, Japan

7. Department of Civil and Environmental Engineering, School of Environment and Society, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro 152-8552, Japan

Abstract

Spatiotemporal changes in waterborne disease risk were evaluated for the Chhnok Tru floating village in the Tonle Sap Lake by combining a hydraulic simulation and quantitative microbial risk assessment (QMRA). First, a three-dimensional (3D) hydraulic simulation was performed, and the transport of Escherichia coli (E. coli) was simulated. Prior to the simulation, by coupling satellite imagery analysis using the normalized difference water index (NDWI) and a sounding survey using an acoustic Doppler current profiler (ADCP), a new digital elevation model was generated for the complex channel network with high resolution. The results of the 3D hydraulic simulation revealed the flow regime and nonuniform pathogen distribution in the floating village. QMRA was performed for the village using the E. coli distribution calculated by the 3D hydraulic model. Subsequently, the disease risk in the village was visualized through an effective and easy-to-understand disease risk map. To demonstrate the usefulness of the hydraulic-simulation-based disease risk map, the map was used to quantitatively compare simple policies by evaluating their reduction in disease risk.

Funder

Japan Science and Technology Agency (JST)/Japan International Cooperation Agency

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

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