Xia Wu

Hohai University

H-index: 4

Asia-China

About Xia Wu

Xia Wu, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Hohai University, specializes in the field of water quality model, hydrology, uncertainty quantification.

His recent articles reflect a diverse array of research interests and contributions to the field:

Investigating the linkage between extreme rainstorms and concurrent synoptic features: A case study in Henan, Central China

Quantifying input uncertainty in the calibration of water quality models: reordering errors via the secant method

Incorporating multiple observational uncertainties in water quality model calibration

Quantifying input error in hydrologic modeling using the Bayesian error analysis with reordering (BEAR) approach

Xia Wu Information

University	Hohai University
Position	Postdoc College of Hydrology and Water Resources
Citations(all)	63
Citations(since 2020)	60
Cited By	13
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Hohai University
Google Scholar	View Google Scholar Profile

Xia Wu Skills & Research Interests

water quality model

hydrology

uncertainty quantification

Xia Wu

Hohai University

About Xia Wu

Xia Wu Information

Xia Wu Skills & Research Interests

Top articles of Xia Wu

Investigating the linkage between extreme rainstorms and concurrent synoptic features: A case study in Henan, Central China

Xia Wu

Quantifying input uncertainty in the calibration of water quality models: reordering errors via the secant method

Xia Wu

Ashish Sharma

Incorporating multiple observational uncertainties in water quality model calibration

Xia Wu

Ashish Sharma

Quantifying input error in hydrologic modeling using the Bayesian error analysis with reordering (BEAR) approach

Xia Wu

Ashish Sharma