Articles | Volume 370
https://doi.org/10.5194/piahs-370-75-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/piahs-370-75-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Effectiveness of water infrastructure for river flood management – Part 1: Flood hazard assessment using hydrological models in Bangladesh
International Centre for Water Hazard and Risk Management (ICHARM) under the auspices of UNESCO, Public Works Research Institute (PWRI), Tsukuba, Japan
National Graduate Institute for Policy Studies (GRIPS), Tokyo, Japan
International Centre for Water Hazard and Risk Management (ICHARM) under the auspices of UNESCO, Public Works Research Institute (PWRI), Tsukuba, Japan
National Graduate Institute for Policy Studies (GRIPS), Tokyo, Japan
M. I. Khairul
Bangladesh Water Development Board, Dhaka, Bangladesh
M. B. Arifuzzaman
Bangladesh Water Development Board, Dhaka, Bangladesh
J. Magome
International Research Center for River Basin Environment (ICRE), Interdisciplinary Graduate School of Medicine and Engineering, University of Yamanashi, Kofu, Japan
H. Sawano
International Centre for Water Hazard and Risk Management (ICHARM) under the auspices of UNESCO, Public Works Research Institute (PWRI), Tsukuba, Japan
K. Takeuchi
International Centre for Water Hazard and Risk Management (ICHARM) under the auspices of UNESCO, Public Works Research Institute (PWRI), Tsukuba, Japan
National Graduate Institute for Policy Studies (GRIPS), Tokyo, Japan
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This paper presents for the first time the effects of aggregation errors on mean transit times and young fractions estimated using tritium concentrations. Such errors, due to heterogeneity in catchments, had previously been demonstrated for seasonal tracer cycles by Kirchner (2016a). We found that mean transit times derived from tritium are just as susceptible to aggregation bias as those from seasonal tracer cycles. Young fractions were found to be almost immune to aggregation bias.
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