Isam Issa Omran

@atu.edu.iq

Building & Constructions Techniques Engineering Department/ Technical College of Al-Mussaib
Al-Furat Al-Awsat Technical University

Isam Issa Omran


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https://researchid.co/isamissaomran
I am currently working at the Technical College of Al-Mussaib, Al-Furat Al-Awsat Technical University. I work in research fields related to the disciplines of environmental engineering, water resources engineering, and civil engineering. My current research project is "Evaluating the Sustainability of Municipal Solid Wastes Treatment Techniques: a Case Study in Baghdad City/ Iraq".

EDUCATION

Ph.D., Professor (Full)

RESEARCH INTERESTS

Sanitary and Environmental Engineering
Water Resources Engineering
Civil Engineering
13

Scopus Publications

Scopus Publications

  • An Examination of the Environmental Effects of Petroleum Refinery Effluent on Air Pollution: A Case Study of Maysan Refinery, Iraq
    Isam I. Omran, Maki J. M. Al-Waily, Abdul Razzaq M. Khalefah
    Iop Conference Series Earth and Environmental Science, 2025
    This study investigates the concentrations of selected air pollutants (TSP, CH 4 , CO, SO 2 , H 2 S, and VOCs) in and around the Maysan Refinery in Maysan Governorate, Iraq. Ten sites were chosen for the test, four of which were distributed according to their distance from the untreated effluent lagoon in the oil refinery, and four others were located in the surrounding areas according to their distance from the nearest residential area, while two sites were in the Amarah city center as a comparison reference. The study period lasted nine months (winter and summer periods in Iraq), starting in January and ending in September 2023. The results showed that the air in the study area was polluted with elements (TSP, CH 4 , SO 2 , and H 2 S) and exceeded the maximum permissible limits according to the standard specification of WHO. The contour map showed a descending distribution of pollutants (CH 4 , CO, SO 2 , H 2 S, and VOCs) starting from the effluent lagoon and ending in the city center. It was found that the values of air pollutants are more effective and concentrated during the warm months compared to the cold months. The highest recorded values (in ppm) were 11,500 (TSP), 5.092 (CH 4 ), 0.428 (CO), 2.613 (SO 2 and 4.808 (VOCs), and the lowest value was (0.0, 0.615, 0.039, 0.0, and 1.706 ppm) respectively. No clear change was observed in the values of (TSP and O 2 ), which means that they were not affected by the activity of the refinery or the effluent lagoon, as these values ranging from 378 to 420 ppm for TSP and 20.4 to 20.9 ppm for O 2 . While the CO emissions were within the permissible limits at all the test sites except for the sites inside the refinery. This study proposes several measures to reduce air pollution, including the implementation of regular networks for oil waste, the establishment of a treatment plant for these effluents. Also, the current study recommends conducting a comprehensive analysis of the identified air pollution elements, the reasons for their values exceeding standard limits, and the extent of their relationship to the refinery’s industrial production specifications, as well as other environmental factors in the study area.
  • An Analysis of Environmental Effects of Kirkuk Landfill's Leachate on Groundwater Pollution
    Maali SH. Mahmood, Isam Issa Omran, Maher A. A. Kadim
    International Journal of Environmental Impacts, 2025
    The study examined how sanitary landfill waste and its leachate affected groundwater quality in the Kirkuk Governorate, Iraq.Seven sites were selected to monitor groundwater contamination from the landfill cell to the nearest residential area to calculate their samples' leachate pollution and water quality indices.Physical, chemical, and biological parameters were measured for such environmental indicators.Groundwater maps have been predicted using GIS techniques.The nine-month test period ran from February to November 2024.The results demonstrated that leachate concentrations affect groundwater properties.The amounts of Chemical Oxygen Demand (COD), Biochemical oxygen demand (BOD), 4-2 , 4 -3 , 3 + , and phenol) were greater than permitted by WHO recommendations.Only the vicinity of the landfill cell showed the effects of heavy metals like Cr and Ni, while the residential areas remained unaffected.The LPI results for leachate samples ranged from 25.43 to 40.52.Also, the WQI of the test sites (GW1, GW2, GW3, and GW4) revealed that they were unsuitable for human use without treatment, whereas the groundwater at the other sites (GW5, GW6, and GW7) was adequate for limited irrigation.The findings of the correlation study indicated that the majority of the parameters had a substantial association with one another.The strong negative correlation between distance and parameters indicates that pollutant concentrations decrease when the distance from the landfill increases.The research recommends adopting scientific and technological means to mitigate pollution by using special pipe networks to prevent leachate leakage from the landfill cells and using modern techniques to treat leachate before it reaches the groundwater.
  • Environmental Impact of Sanitary Landfill Emissions and Leachate on Air Pollution: Case Study of a Landfill in Kirkuk City
    Maali S. H. Mahmood, Isam I. Omran, Maher A. A. Kadim
    Springer Proceedings in Earth and Environmental Sciences, 2025
  • Environmental Impact of Petroleum Refinery Effluent on Groundwater Pollution: A Case Study of Maysan Refinery, Iraq
    Abdul Razzaq M Khalefah, Isam I Omran, Maki J. M Al-Waily
    Salud Ciencia Y Tecnologia Serie De Conferencias, 2024
    The study aimed to investigate the environmental impact of the refinery's wastewater on groundwater within the refinery and the surrounding area. Six different testing sites were chosen to measure the concentrations of groundwater pollutants according to their distance from the untreated oil effluent discharge lagoon. The study period lasted for six months, as the testing work began in April and ended in September 2023. The results showed a clear effect of untreated petroleum effluent on the properties of groundwater, as the concentrations of petroleum effluent (oil and grease, TOC, phenol) and heavy metals (Ni, Cd, Pb) exceeded the permissible limits, as well as related parameters (TDS, EC, Cl, SO4) according to WHO specifications. As for the concentrations of the parameters (BOD, COD), there was no clear effect of the effluent on them, and on the contrary, their values began to increase at the testing sites far from the refinery. The groundwater was greatly affected by a distance of 5 km from the effluent collection lagoon (testing sites:GW1, GW2, GW3, and GW4), and it was not suitable for human use until after it was treated. As for the remaining of the distance (testing sites:GW5, GW6) to the nearest residential area (from 5 km to 9 km), the groundwater was limited to use for irrigation according to WQI guidelines. The study recommends that, in order to reduce pollution of refinery effluent, the responsible administration should use regular wastewater networks, construct a treatment plant for this effluent, and discharge the treated effluent to the nearest water source
  • An Investigation on the Environmental Impact of Petroleum Refinery Effluent on Soil Pollution
    Abdul Razzaq M. Khalefah, Isam I. Omran, Maki J.M. Al-Waily
    International Journal of Environmental Impacts, 2024
    Waste oil represents a major challenge to soil quality and environmental sustainability.This study was conducted to determine the environmental impact of refinery effluent on the soil within the refinery site and surrounding area.Six different test sites were selected to measure soil pollutant concentrations according to their distance from the untreated effluent discharge lagoon.The study period lasted six months, as the testing work began in April and ended in September 2023.Standard methods were used to determine the physical, chemical, and biological pollutants of the soil, and soil pollution indices (PLI, CF, and Igeo) were adopted in determining soil quality.The results showed a clear effect of untreated wastewater on soil properties.The soil of the testing sites near the refinery appeared to be highly contaminated with organic pollutants (O&G, TOC, and phenol) and gradually decreased towards the city.The concentrations of heavy metals in the soil were less than the permissible limit of WHO at the various testing sites, with the exception of the concentrations of Cd and Pb.The Cd concentration was approximately 200% higher than the permissible limit, while the Pb concentration was close to the permissible limit or slightly more.Generally, the measured concentrations of these metals followed the order: Ni<Pb<Co<Cd<Cu, while there was no effect of other heavy metals or biological contamination at all testing sites.The refinery soil and the surrounding area were classified according to index (PLI) within the baseline level in terms of heavy metals, while index (CF) indicated that it was highly contaminated with cadmium and had little contamination with other heavy metals.The index (Igeo) indicated that the soil was highly polluted with cadmium, while it did not indicate contamination with other heavy metals.The study recommends that in order to reduce pollution from refinery effluent, the responsible administration must implement waste drainage networks, establish a treatment plant for the untreated effluent, and also use modern technologies to reduce gaseous emissions and their deposits on the soil.
  • Estimation of Muskingum's equation parameters using various numerical approaches: flood routing by Muskingum's equation
    I. I. Omran, M. A. A. Kadim, N. H. Al-Saati
    International Journal of Environmental Science and Technology, 2024
  • A new framework for assessing the sustainability of municipal solid waste treatment techniques applying multi-criteria decision analysis
    I. I. Omran, N. H. Al-Saati, A. A. Salman, K. Hashim
    International Journal of Environmental Science and Technology, 2023
  • Evaluation of Flood Routing Models and Their Relationship to the Hydraulic Properties of the Diyala River Bed
    M A Kadhim, N K Al-Bedyry, I I Omran
    Iop Conference Series Earth and Environmental Science, 2022
    In this study, four types of flood routing approaches were studied which give significantly varied results represented by the differences between computed and observed flows and also differ considerably on the friction coefficient and bed slope of the channels. First two approaches use a hydraulic solution to solve the equations of unsteady flow, while the third approach uses the hydrological solution, and the fourth algorithm solves Muskingum approach with seven parameters. All these approaches were run with the same input parameters, the results were compared and tested with four Error Measurement Indices, Sum of Squared Deviations, Error of Peak Discharge, Variance Index, and agreement index. Diyala River was selected for this application. Dynamic wave method gave accurate results, followed by the characteristic method, and then the linear Muskingum-Cunge method, but Symbiotic Organisms Search Algorithm not gave any senses due to change in roughness or bed slope and gave very identical values with recorded outflow in all conditions, which means that the hydraulic solution is better compared to the hydrological solution. The results also showed that the difference between the calculated and observed flows diminished with a decrease in the coefficient of friction and an increase in the bed slope channel.
  • Optimization of the Nonlinear Muskingum Model Parameters for the River Routing, Tigris River a Case Study
    Maher Abd Ameer Kadim, Isam Issa Omran, Alaa Ali Salman Al-Taai
    International Journal of Design and Nature and Ecodynamics, 2021
    Flood forecasting and management are one of the most important strategies necessary for water resource and decision planners in combating flood problems. The Muskingum model is one of the most popular and widely used applications for the purpose of predicting flood routing. The particle swarm optimization (PSO) methodology was used to estimate the coefficients of the nonlinear Muskingum model in this study, comparing the results with the methods of genetic algorithm (GA), harmony search (HS), least-squares method (LSM), and Hook-Jeeves (HJ). The average monthly inflow for the Tigris River upstream at the Al-Mosul dam was selected as a case study for estimating the Muskingum model's parameters. The analytical and statistical results showed that the PSO method is the best application and corresponds to the results of the Muskingum model, followed by the genetic algorithm method, according to the following general descending sequence: PSO, GA, LSM, HJ, HS. The PSO method is characterized by its accurate results and does not require many assumptions and conditions for its application, which facilitates its use a lot in the subject of hydrology. Therefore, it is better to recommend further research in the use of this method in the implementation of future studies and applications.
  • Statistical modeling of monthly streamflow using time series and artificial neural network models: Hindiya barrage as a case study
    Nabeel H. Al-Saati, Isam I. Omran, Alaa Ali Salman, Zainab Al-Saati, Khalid S. Hashim
    Water Practice and Technology, 2021
    Autoregressive Integrated Moving Average (ARIMA) Box-Jenkins models combine the autoregressive and moving average models to a stationary time series after the appropriate transformation, while the nonlinear autoregressive (N.A.R.) or the autoregressive neural network (ARNN) models are of the kind of multi-layer perceptron (M.L.P.), which compose an input layer, hidden layer and an output layer. Monthly streamflow at the downstream of the Euphrates River (Hindiya Barrage) /Iraq for the period January 2000 to December 2019 was modeled utilizing ARIMA and N.A.R. time series models. The predicted Box-Jenkins model was ARIMA (1,1,0) (0,1,1), while the predicted artificial neural network (N.A.R.) model was (M.L.P. 1-3-1). The results of the study indicate that the traditional Box-Jenkins model was more accurate than the N.A.R. model in modeling the monthly streamflow of the studied case. Performing a one-step-ahead forecast during the year 2019, the forecast accuracy between the forecasted and recorded monthly streamflow for both models was as follows: the Box-Jenkins model gave root mean squared error (RMSE = 48.7) and the coefficient of determination = 0.801), while the (NAR) model gave (RMSE = 93.4) and = 0.269). Future projection of the monthly stream flow through the year 2025, utilizing the Box-Jenkins model, indicated the existence of long-term periodicity.
  • Sustainability assessment of wastewater treatment techniques in urban areas of iraq using multi-criteria decision analysis (Mcda)
    Isam I. Omran, Nabeel H. Al-Saati, Hyam H. Al-Saati, Khalid S. Hashim, Zainab N. Al-Saati
    Water Practice and Technology, 2021
  • Assessment of heavy metal pollution in the great al-mussaib irrigation channel
    Isam I. Omran, , Nabeel H. Al-Saati, Khalid S. Hashim, Zainab N. Al-Saati, P. Kot, Rafid Al Khaddar, Dhiya Al-Jumeily, Andy Shaw, Felicite Ruddock, M. Aljefery
    Desalination and Water Treatment, 2019
  • Evaluation of the soil moisture content using GIS technique and SWAT model, (Wadi Al-Naft region: As a case study)
    Mahmood J. Mohamed, Isam I. Omran, Wisam A. Abidalla
    Iop Conference Series Materials Science and Engineering, 2018