Bayesian framework of parameter sensitivity, uncertainty, and identifiability analysis in complex water quality models-Reference-Cited by-同舟云学术

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Bayesian framework of parameter sensitivity, uncertainty, and identifiability analysis in complex water quality models

Published:2018-06 Issue: Volume:104 Page:13-26
ISSN:1364-8152
Container-title:Environmental Modelling & Software
language:en
Short-container-title:Environmental Modelling & Software

Author:

Jia Haifeng,Xu Te,Liang Shidong,Zhao Pei,Xu Changqing

Funder

National Water Pollution Control Special Project

Tsinghua Fudaoyuan Research Fund

Publisher

Elsevier BV

Subject

Ecological Modeling,Environmental Engineering,Software

Reference90 articles.

1. Climate, land use and hydrologic sensitivities of stormwater quantity and quality in a complex coastal-urban watershed;Abdul-Aziz;Urban Water J.,2016

2. Future research challenges for incorporation of uncertainty in environmental and ecological decision-making;Ascough;Ecol. Model.,2008

3. A general probabilistic framework for uncertainty and global sensitivity analysis of deterministic models: a hydrological case study;Baroni;Environ. Model. Software,2014

4. Water quality modelling: a review of the analysis of uncertainty;Beck;Water Resour. Res.,1987

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