The influence of data transformations in simulating Total Suspended Solids using Bayesian inference X Wu, L Marshall, A Sharma Environmental Modelling & Software 121, 104493, 2019 | 27 | 2019 |
Quantifying input error in hydrologic modeling using the Bayesian error analysis with reordering (BEAR) approach X Wu, L Marshall, A Sharma Journal of Hydrology 598, 126202, 2021 | 19 | 2021 |
Investigating the linkage between extreme rainstorms and concurrent synoptic features: A case study in Henan, Central China Y Lang, Z Jiang, X Wu Water 14 (7), 1065, 2022 | 12 | 2022 |
Incorporating multiple observational uncertainties in water quality model calibration X Wu, L Marshall, A Sharma Hydrological Processes 36 (1), e14452, 2022 | 4 | 2022 |
The field application of microbial technology used in bioremediation of urban polluted river X Wu, YB Xie Advanced Materials Research 518, 2906-2911, 2012 | 4 | 2012 |
Quantifying input uncertainty in the calibration of water quality models: reordering errors via the secant method X Wu, L Marshall, A Sharma Hydrology and Earth System Sciences 26 (5), 1203-1221, 2022 | 2 | 2022 |
Approximation Bayesian computation for calibration of water quality models considering the impact of observation uncertainty X Wu, LA Marshall, A Sharma AGU Fall Meeting Abstracts 2018, H43D-2417, 2018 | 1 | 2018 |