Employing indicator-based geostatistics and quantitative microbial risk analysis to assess the health risks of groundwater use for household demands on the Pingtung Plain, Taiwan.

Shih-Kai Chen, Cheng-Shin Jang, Chun-Pei Chang

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Article in Environmental geochemistry and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Shih-Kai ChenDepartment of Civil Engineering, National Taipei University of Technology, Taipei City, 106, Taiwan.

Cheng-Shin JangDepartment of Leisure and Recreation Management, Kainan University, Luzhu, Taoyuan, 338, Taiwan. csjang@mail.knu.edu.tw.

Chun-Pei ChangDepartment of Civil Engineering, National Taipei University of Technology, Taipei City, 106, Taiwan.

Funding

Ministry of Science and Technology, Taiwan MOST 108-2621-M-424-001

6 · The paper itself

Abstract

Because of the limited surface water on the Pingtung Plain, Taiwan, the plain's residents frequently extract groundwater to meet their daily household water demands. The residents may experience gastrointestinal infections due to incidental ingestion of groundwater with fecal pollution. This study used indicator kriging (IK) and quantitative microbial risk analysis (QMRA) to assess the health risks of using groundwater for household cleaning and horticultural irrigation on the Pingtung Plain. First, IK was employed to determine the conditional cumulative distribution function (CCDF) of groundwater Escherichia coli (E. coli). Nonparametric Monte Carlo simulation based on established CCDF was then adopted to characterize the distributions and uncertainty of groundwater E. coli. Finally, QMRA was employed to determine health risks of groundwater use for household cleaning and horticultural irrigation, and the 95th percentiles of the risk distributions were calculated to obtain a representative risk. The study results indicated that the health risks of groundwater use ranged from 3.95 × 10

Indexed as

Escherichia coliAgricultural IrrigationEnvironmental MonitoringFamily CharacteristicsGroundwaterHumansMonte Carlo MethodRisk AssessmentSpatial AnalysisTaiwanUncertaintyEscherichia coliGroundwaterIndicator krigingNonparametric Monte Carlo simulationQuantitative microbial risk analysisUncertainty

Identifiers

PMID31722053

DOI10.1007/s10653-019-00468-3

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.