A two-step Bayesian network-based process sensitivity analysis for complex nitrogen reactive transport modeling
Heng Dai(China University of Geosciences), Bill X. Hu(Southwest Jiaotong University), Yan Zhu(Shandong University), Ming Ye(Florida State University), Jiebo Cui(China University of Geosciences), Dongwei GUI(Chinese Academy of Sciences), Jiali Ju(China University of Geosciences (Beijing)), Yujiao Liu(Tianjin University of Commerce)
Cited by 34
Related Papers
Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
|Journal of Hydrology|2018|824
Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications
|Journal of Hydrology|2015|665
Towards a comprehensive assessment of model structural adequacy
|Water Resources Research|2012|493
Spatiotemporal variations of hydrogeochemistry and its controlling factors in the Gandaki River Basin, Central Himalaya Nepal
|The Science of The Total Environment|2017|283
On model selection criteria in multimodel analysis
|Water Resources Research|2008|264