Published  

1. A. Kiaghadi, H. S. Rifai, and C. N. Dawson. The presence of Superfund sites as a determinant of life expectancy in the United States. Nature Communication 12, 1947 (2021). https://doi.org/10.1038/s41467-021-22249-2

2. M. Loveland, A. Kiaghadi, C. N. Dawson, H. S. Rifai, Sh. Misra, H. Mosser, and A. Parola. Developing a Modeling Framework to Simulate Compound Flooding: When Storm Surge Interacts with Riverine Flow. Frontiers in Climate, 2:609610. doi: 10.3389/fclim.2020.609610, 2021

3. Sh. Bi, A. Kiaghadi, B. C. Schulze, C. Bernier, P. B. Bedient, J. Padget, H. S. Rifai, and R. J. Griffin. Simulation of Potential Exposure to Atmospheric Pollution from Aboveground Storage Tank Leakage after Severe Storms.  Atmospheric Environment, 248, 2020. https://doi.org/10.1016/j.atmosenv.2021.118225.

4. A. Kiaghadi, H. S. Rifai, and W Liaw. Assessing COVID-19 Risk, Vulnerability and Infection Prevalence in Communities. PLOS ONE. 15(10): e0241166, 2020. https://doi.org/10.1371/journal.pone.0241166

5. A. Kiagahdi, A. Govindarajan, R. S. Sobel, and H. S. Rifai. Environmental Damage Associated with Severe Hydrologic Events: A LiDAR Based Geospatial Modeling Approach. Natural Hazards, 103:2711–2729, 2020. https://doi.org/10.1007/s11069-020-04099-1.

6. W. Lee, A. Kiagahdi, and C. N. Dawson. High Temporal Resolution Rainfall-Runoff Modelling Using Long-Short-Term-Memory (LSTM) Networks. Neural Computing and Applications. 2020. https://doi.org/10.1007/s00521-020-05010-6.

7. W. Lee, A. Kiagahdi, and C. N. Dawson. Exploring the best sequence LSTM modeling architecture for flood prediction. Neural Computing and Applications. 2020. https://doi.org/10.1007/s00521-020-05334-3.

8. Sobel. R. S., A. Kiaghadi, and H. S. Rifai. Modeling water quality impacts from hurricanes and extreme weather events in urban coastal systems using Sentinel-2 spectral data. Environmental Monitoring and Assessment, 23;192(5):307, 2020.

9. B Abdulla, A. Kiaghadi, H. S. Rifai, and B. Birgisson. Characterization of vulnerability of road networks to fluvial flooding using SIS network diffusion model. Journal of Infrastructure Preservation and Resilience, 1: 6, 13, 2020.

10. A. Kiaghadi, and H. S. Rifai. Physical and Chemical Quality of Floodwaters in Houston Following Hurricane Harvey. Environmental Science & Technology, 53 (9), 4832-4840, 2019.

11. A. Kiaghadi, and H. S. Rifai. Natural Attenuation of Indicator Bacteria in Coastal Streams and Estuarine Environments. Science of the Total Environment, 677, 230–240, 2019.

12. A. Kiaghadi, H. S. Rifai, and D. W. Burleson. Development of a Storm Surge Driven Water Quality Model to Simulate Spills During a Hurricane. Marine Pollution Bulletin, 129(2): 714-728, 2018.

13. A. Kiaghadi, R.S. Sobel, and H. S. Rifai. Modeling geothermal energy efficiency from abandoned oil and gas wells to desalinate produced water. Desalination, 414, 51-62, 2017.

14. Noori, R., Z. Q. Deng, A. Kiaghadi., and F. T. Kachoosangi. How Reliable Are ANN,   ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?. Journal of Hydraulic Engineering, 142(1), 2015.

15. Eskandari, A., R. Noori, H. Merajii, and A. Kiaghadi. Developing a proper model for online estimation of the 5-day biochemical oxygen demand based on artificial neural network and support vector machine. Journal of Environmental Studies, 38 (61): 22-24, 2012.

​Peer-Reviewed Conference Papers

1. A. Kiaghadi, and H. S. Rifai. Natural Attenuation of Indicator Bacteria in Natural Water Systems. Proceeding of Environmental Science and Technology by Sorial, G., and J. Hong. American Science Press, Vol. 1, 18-24, 2016.

In Revision

1. H.S. Rifai, A. Kiaghadi, and D.W. Burleson, Coupled Storm Surge and Environmental Models for Assessing Damage to Built and Natural Environments. Frontiers in Climate.

Submitted/In Preparation

1. A. Kiaghadi, H. S. Rifai, M. Crum, and R. C. Willson. Longitudinal Patterns in Sediment Type and Quality During Daily Flow Regimes and Following Natural Hazards In an Urban Estuary.

2. Sappington, E. S., A. Kiaghadi, and H. S. Rifai.  Spatial Framework Using Indexing and Fuzzy Logic for Beneficial Reuse of Oilfield Produced Water to Irrigate Agriculture.

3. Sobel. R. S., A. Kiaghadi, and H. S. Rifai. Remote Sensing for Chlorophyll-a and TSS in optically Active Inland Waters.