Author

Solmaz Saadat

Observed name: S. Saadat

Institution: Shiraz University

Observed institution: Shiraz University

ORCID: 0000-0002-8588-3417

Observed ORCID: 0000-0002-8588-3417

OpenAlex ID: A5010927191

Enhanced removal of phosphate from aqueous solutions using a modified sludge derived biochar: Comparative study of various modifying cations and RSM based optimization of pyrolysis parameters

2018 · Solmaz Saadat, Ehsan Raei, et al. · Journal of Environmental Management · 119

Optimization of Pb(II) adsorption onto modified walnut shells using factorial design and simplex methodologies

2011 · S. Saadat, A. Karimi-Jashni · Chemical Engineering Journal · 96

Enhancing bio-hydrogen production from food waste in single-stage hybrid dark-photo fermentation by addition of two waste materials (exhausted resin and biochar)

2020 · Fatemeh Rezaeitavabe, Solmaz Saadat, et al. · Biomass and Bioenergy · 92

A novel method for optimization of slit Venturi dimensions through CFD simulation and RSM design

2020 · Elahe Abbasi, Solmaz Saadat, et al. · Ultrasonics Sonochemistry · 48

Experimental Investigation and Modeling of Nickel Removal from Wastewater Using Modified Rice Husk in Continuous Reactor by Response Surface Methodology

2018 · Fatemeh Azadi, Solmaz Saadat, et al. · Iranian Journal of Science and Technology Transactions of Civil Engineering · 38

Synthesis and characterization of novel single-walled carbon nanotubes- doped walnut shell composite and its adsorption performance for lead in aqueous solutions

2014 · Solmaz Saadat, Ayoub Karimi-Jashni, et al. · Journal of environmental chemical engineering · 38

An investigation on the dose-dependent effect of iron shaving on bio-hydrogen production from food waste

2021 · Mahsa Alian, Solmaz Saadat, et al. · International Journal of Hydrogen Energy · 22

Fabrication, optimization, and performance of a novel double-skinned Al 2 O 3 .TiO2 ceramic nanocomposite membrane for forward osmosis application

2021 · Fatemeh Azadi, Ayoub Karimi-Jashni, et al. · Environmental Technology & Innovation · 18

Mathematical modeling of the Ni(II) removal from aqueous solutions onto pre-treated rice husk in fixed-bed columns: a comparison

2015 · Solmaz Saadat, Ali Akbar Hekmatzadeh, et al. · Desalination and Water Treatment · 12

Investigation of Factors Affecting Removal of Nickel by Pre-treated Walnut Shells Using Factorial Design and Univariate Studies *

2014 · Ayoub Karimi-Jashni, Solmaz Saadat · 11

Investigating the role of the morphology of the Zn-Al LDH on the adsorption of humic acid from aqueous solutions

2021 · Hamid Khoshalhan Davoudli, Solmaz Saadat, et al. · Water Science & Technology · 9

Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia

2024 · Bahareh Raheli, Nasser Talebbeydokhti, et al. · Iranian Journal of Science and Technology Transactions of Civil Engineering · 7

Induced Vibration of a Surface Foundation atop a Fluid-Conveying Embedded Pipe

2020 · Mehdi Emami Roudbali, Gholamreza Rakhshandehroo, et al. · Journal of Engineering Mechanics · 4

A New Approach for Dust Storm Detection Using MODIS Data

2020 · Amin Sarikhani, Maryam Dehghani, et al. · Iranian Journal of Science and Technology Transactions of Civil Engineering · 3

Correction: Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia

2024 · Bahareh Raheli, Nasser Talebbeydokhti, et al. · Iranian Journal of Science and Technology Transactions of Civil Engineering

A Comprehensive Assessment of Extreme Gradient Boost (Xgb) and Support Vector Regression (Svr) Performance to Predict Effluent Quality in Activated Sludge Treatment Process

2023 · maedeh edraki, Seyed Mehrab Amiri, et al. · SSRN Electronic Journal

A Comprehensive Assessment of Extreme Gradient Boost (Xgb) and Support Vector Regression (Svr) Performance to Predict Effluent Quality in Activated Sludge Treatment Process

2023 · Maedeh Edraki, Seyed Mehrab Amiri, et al. · SSRN Electronic Journal

Works count: 18

Citation count: 517

H-index: 10

I10-index: 10