farkhondeh Khorashadi Zadeh: Publications

Publications

Peer-Reviewed Journals

Decentralized Urban Runoff Management with Emphasis upon On-site Runoff Pollution Reduction: A Systematic Review.
Khorashadi Zadeh, F., Shafiei, M., Asadi, A., Mosleh, L., Jabedari, M., Moghaddam Nia, A. (In Press, 2025).

Sharif Journal of Civil Engineering.
A fast and effective parameterization of water quality models.
Khorashadi Zadeh, F., Nossent, J., Woldegiorgis, B. T., Bauwens, W., & Van Griensven, A(2022).

Environmental Modelling & Software,105331.
Impact of measurement error and limited data frequency on parameter estimation and uncertainty quantification.
Khorashadi Zadeh, F., Nossent, J., Woldegiorgis, B. T., Bauwens, W., & van Griensven, A.(2019).

Environmental Modelling & Software, 118,35-47.
Comparison of variance-based and moment-independent global sensitivity analysis approaches by application to the SWAT model.
Khorashadi Zadeh, F., Nossent, J., Sarrazin, F., Pianosi, F., van Griensven, A., Wagener, T., & Bauwens, W. (2017).

Environmental Modelling & Software, 91, 210-222.

Conference Proceedings

Integration of artificial intelligence techniques, remote sensing data and field data for simulation of chlorophyll-a concentration in Gorgan Bay (No. EGU24-6762).
Khorashadi Zadeh, F. and Fatemi, M., (2024).

Copernicus Meetings.
Water Balance Analysis for Reservoirs through Remote Sensing: A Case Study of the Karun (IV) Reservoir in Iran (No. EGU24-4660).
Kachoue, M. H., Goli, M., Bakhtiari, A., Sedghi, M., Hosseinipoor, M. and Khorashadi Zadeh, F., (2024).

Copernicus Meetings.
Sensitivity analysis of input variables of a SWAT hydrological model using the machine learning technique of random forest (No. EGU24-14805).
Abousaeidi, A., Moezzi, S. M. M., Khorashadi Zadeh, F., Sheikholeslami, S. R., Nkwasa, A. and van Griensven, A., (2024).

Copernicus Meetings.
Water quality simulation of lakes: coupling artificial intelligence techniques and remote sensing data.
Khorashadi Zadeh, F., Nkwasa A., Khorashadizadeh S. and van Griensven A. (2022).

11th International Environmental Modelling and Software Society (iEMSs) Conference, 4-8 July 2022, Brussels, Belgium.
Critical role of amount and reliability of calibration data on the performance of the parameter estimation
Khorashadi Zadeh, F., Nossent, J., Woldegiorgis, B. T., Bauwens, W., & Van Griensven, A.(2020).

10th International Congress on Environmental Modelling and Software Brussels, Belgium, Ann van Griensven, Jiri Nossent, Daniel P. Ames (Eds.)
A fast and effective parameterization of water quality models using a screening method of global sensitivity analysis
Khorashadi Zadeh, F., Nossent, J., Woldegiorgis, B. T., Bauwens, W., & Van Griensven, A.(2020).

10th International Congress on Environmental Modelling and Software Brussels, Belgium, Ann van Griensven, Jiri Nossent, Daniel P.Ames (Eds.)
Global sensitivity analysis of a SWAT model: comparison of the variance-based and moment-independent approaches.
Khorashadi Zadeh, F., Sarrazin, F., Nossent, J., Pianosi, F., van Griensven, A., Wagener, T., & Bauwens, W. (2015, April)

In EGU General Assembly Conference Abstracts (Vol. 17, p. 997).
Comparison of the PAWN and Sobol’ sensitivity analysis methods for a highly-parameterized hydrological model using SWAT..
Khorashadi Zadeh, F., Sarrazin, F., Nossent, J., Pianosi, F., van Griensven, A., Wagener, T., & Bauwens, W. (2015).

E-proceedings of the 36th IAHR World Congress, 28 June – 3 July, 2015, The Hague, the Netherlands

farkhondeh Khorashadi Zadeh

Publications

Peer-Reviewed Journals

Conference Proceedings

Google Scholar

...