Jang, C.-S.C.-S.JangLin, K.-H.K.-H.LinCHEN-WUING LIULin, M.-C.M.-C.Lin2018-09-102018-09-102009http://www.scopus.com/inward/record.url?eid=2-s2.0-67349222190&partnerID=MN8TOARShttp://scholars.lib.ntu.edu.tw/handle/123456789/350964This work explored a risk-based arsenic (As) regulation in farmed pond water by ingesting tilapia (Oreochromis mossambicus) in blackfoot disease hyperendemic areas and discussed a rational As regulation in pond water. Monte Carlo analysis was used to propagate the parameter uncertainty and to assess probabilistically regulation risks. A dynamic scheme of groundwater management was proposed that curves of utilization ratios against As concentrations in groundwater were established based on the risk-based regulation. The 5th to 95th percentiles of risks range from 3.5 × 10 -7 to 6.0 × 10 -5 via ingesting the farmed tilapia under the current As regulation in farmed pond water in Taiwan, 50 μg/L. To compare to inorganic As regulation in drinking water, the current As regulation in farmed pond water does not pose a great threat to human health, but it is unsafe. Therefore, this study suggests that the regulation of As in farmed pond water is revised to be 25 μg/L. ? Springer-Verlag 2008.application/pdf412742 bytesapplication/pdfAquacultural water; Groundwater; Risk-based management; Uncertainty[SDGs]SDG3Aquacultural water; Blackfoot disease; Drinking water; Groundwater management; Human health; Hyper-endemic; Monte carlo analysis; Parameter uncertainty; Pond water; Risk-based; Risk-based management; Risk-based regulation; Uncertainty; Utilization ratios; Arsenic; Groundwater; Health risks; Hydrogeology; Lakes; Potable water; Risk management; Uncertainty analysis; Water management; Decision making; aquaculture; arsenic; groundwater; Monte Carlo analysis; probability; risk assessment; uncertainty analysis; Oreochromis mossambicus; Tilapiajournal article10.1007/s00477-008-0245-3