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Evaluation of the Drinking and Irrigation Quality of Groundwater in Basrah, Iraq

Mohammed Ahmed Ihsan, Naimi Sepanta, Dawood Ammar Salman

Journal of Ecological Engineering

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2023

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Vol. 24, nr 9

260--271

EN

This study assessed the quality of groundwater in south of Basrah governorate from three regions (Zubair, Safwan and um-Qaser), as well as its expediency for drinking purposes and irrigation. Fifty groundwater specimens from various locations were, whereas their physical and chemical parameters were assessed. The WQI was used to measure overall water quality, and the results were displayed using GIS. The calculation of the Water Quality Index (WQI) took twelve physiochemical parameters into account, including pH, EC, TDS, TH, Ca+2, Mg+2, Na+, K+, SO4-2, Cl-, HCO3- and NO3-. The groundwater in Basrah was found to be of generally low quality, with significant levels of salinity, hardness, and TDS. The groundwater in the research region was not fit for human consumption, according to (WHO, 2011) standards for drinking water. Applying WQI revealed that, with the exception of two wells, the ground water in the research area was classed as very poor-unsuitable type. The GIS analysis assisted in identifying the places with the best water quality and those with the most serious issues. The groundwater of research region was used for irrigation purposes. The indices considered included SAR, SSP AND MH%. The groundwater from the study area is generally in good condition and may be utilized for irrigation, as shown by the estimated water indices when compared to the accepted standards.

2

Modeling Pollution Index Using Artificial Neural Network and Multiple Linear Regression Coupled with Genetic Algorithm

Abdulkareem Iman Ali, Abbas Abdulhussain A., Dawood Ammar Salman

Journal of Ecological Engineering

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2022

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Vol. 23, nr 3

236--250

EN

Shatt Al-Arab River in Basrah province, Iraq, was assessed by applying comprehensive pollution index (CPI) at fifteen sampling locations from 2011 to 2020, taking into consideration twelve physicochemical parameters which included pH, Tur., TDS, EC, TH, Na+, K+, Ca+2, Mg+2, Alk., SO4-2, and Cl-. The effectiveness of multiple linear regression (MLR) and artificial neural network (ANN) for predicting comprehensive pollution index was examined in this research. In order to determine the ideal values of the predictor parameters that lead to the lowest CPI value, the genetic algorithm coupled with multiple linear regression (GA-MLR) was used. A multi-layer feed-forward neural network with backpropagation algorithm was used in this study. The optimal ANN structure utilized in this research consisted of three layers: the input layer, one hidden layer, and one output layer. The predicted equation of the comprehensive pollution index was created using the regression technique and used as an objective function of the genetic algorithm. The minimum predicted comprehensive pollution index value recommended by the GA-MLR approach was 0.3777.

3

Characterization of Yemeni Natural Zeolite (Al-Ahyuq Area) and its Environment Applications: A Review

Alshameri Aref, Xinghu Wei, Dawood Ammar Salman, Xin Chen, Yan Chunjie, Assabri Amer M.

Journal of Ecological Engineering

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2019

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Vol. 20, nr 4

157--166

EN

This research characterizes a natural zeolitic-rich tuff from Yemen (Al-Ahyuq area) and its potential in environmental applications. A total of 40 zeolite samples of Al-Ahyuq area were selected and fully characterized by a variety technique to obtain the mineralogical and physicochemical parameters. Our results show that the purities of zeolite minerals range from 78 to ~100% zeolite. Clinoptilolite and mordenite are the major mineral zeolite whereas heulandite and stilbite occur in minor amounts present in the zeolite deposit. Accessory minerals include quartz, illite, mica, feldspar, kaolinite, and smectite. In addition, the chemical compositions of Al-Ahyuq zeolitic tuffs are found to be comparable with other zeolites compositions of high economic value in the world. Moreover, its environment application was also discussed in this paper.