حساسیت سنجی در ‏مدل‏سازی انتقال آلاینده‏ های محلول در آب زیرزمینی

Bakker M., Post V., Hughes J., Langevin C., Franc´es A., White J., (2013). “Enhanced FloPy scripts for constructing and running MODFLOW-based models”, In: Proceedings of the 2013 MODFLOWand More Conference.

Doherty J., Hunt R.J., (2009), “Two statistics for evaluating parameter identifiability and error reduction”, J Hydrol 366(1):119–127.

H. Delottier, A. Pryet, A. Dupuy (2016), “Why Should Practitioners be Concerned about Predictive Uncertainty of Groundwater Management Models?”, Water Resources Management.

Hadis Mohajerani, Majid Kholghi, Markus Casper, Abolfazl Mosaedi, Raziyeh Farmani-Amir Sadoddin, (2017), “Application of Bayesian Decision Networks for Groundwater Resources Management Under the Conditions of High Uncertainty and Data Scarcity”, Water Resources Management

Hill M.C., Kavetski D., Clark M., Ye M., Arabi M., Lu D., Foglia L., Mehl S., (2015), “Practical use of computationally frugal model analysis methods”, Groundwater

Jon C. Helton, (1993), “Uncertainty and sensitivity analysis techniques for use in performance assessment for radioactive waste disposal”, Reliability Engineering & System Safety.

Mays, L. W., and Y. K. Tung, (1992), “Hydrosystems Engineering and Management”, McGraw-Hill, New York.

Michele Remonti, Piero Mori, (2016), “The Stochastic Approach in Groundwater Modeling for the Optimization of Hydraulic Barriers”, Remediation Journal.

Pryet A., Atteia O., Delottier H., Cousquer Y., (2015), “Flexible Environmental Modeling with Python and Open-GIS”, In: EGU General Assembly Conference Abstracts, vol 17, p 9733.

Rojas, R., Feyen, L., Dassargues, A., (2008), “Conceptual model uncertainty in groundwater modeling: combining generalized likelihood uncertainty estimation and Bayesian model averaging”, Water Resour. Res. 44 (12), W12418.

Zheng C., Wang P., (1999), “MT3DMS, A modular three-dimensional multispecies transport model for simulation of advection, dispersion and chemical reactions of contaminants in groundwater systems”, (Release DoD_3.50. A), Documentation and User’s Guide.

Zhu K., Cui Z., Jiang B., Yang G., Chen Z., Meng Q., Yao Y., (2013), “A DEM-based residual kriging model for estimating groundwater levels within a large-scale domain: a study for the Fuyang River Basin”, Clean Techn Environ Policy 15:687–698.