Wyniki wyszukiwania - BazTech

1

Groundwater Quality Assessment in the Coastal Mediterranean Aquifer of Northeastern Morocco – A GIS-Based Approach

Bouhout Sara, Haboubi Khadija, El Hammoudani Yahya, El Abdouni Aouatif, Haboubi Chaimae, Dimane Fouad, Hanafi Issam, Elyoubi Mohamed Salahdine

Ecological Engineering & Environmental Technology

|

2024

|

Vol. 25, iss. 1

22--45

EN

Groundwater quality degradation is a pressing concern in semi-arid coastal regions, exemplified by the Ghiss-Nekor aquifer in northeastern Morocco, spanning 100 km2. This study adopts a comprehensive approach, utilizing chloro-alkaline indices, hydrochemical facies diagrams, the water quality index (WQI), and the synthetic pollution index (SPI) to assess the groundwater quality and its evolution. Key findings reveal that the Ghiss-Nekor ground-water is brackish, primarily suitable for irrigation due to high total dissolved solids (TDS). Salinization stems from reverse cation exchange, as indicated by hydrochemical analyses. WQI assessments highlight the inadequacy of this groundwater for drinking purposes, with SPI classifying 54% of wells as moderately polluted. Fine particles mitigate marine intrusion in the northwest. Overlaying land-use and electrical conductivity maps identifies the areas with poor-quality groundwater, notably near an unregulated landfill, a coastal tourist site, and a wastewater treatment facility. Ionic analysis identifies multiple saline sources, with nitrate and sulfate contributions standing out. While the study offers valuable insights, limitations include the need for ongoing data collection and source identification challenges. Nonetheless, the research underscores the urgency of effective water management, particularly around the landfill site situated above permeable deposits, offering an innovative approach with global applicability for addressing groundwater quality issues in semi-arid coastal areas.

2

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

Mohammed Ahmed Ihsan, Naimi Sepanta, Dawood Ammar Salman

Journal of Ecological Engineering

|

2023

|

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.

3

Assessment Water Quality Indices of Surface Water for Drinking and Irrigation Applications – A Comparison Review

Al Yousif Mustafa A., Chabuk Ali

Journal of Ecological Engineering

|

2023

|

Vol. 24, nr 5

40--55

EN

Water is one of the most important natural resources for all living organisms, including humans. Water consumption is increasing over the years as a result of the increase in the number of people, and at the same time, the causes of pollution of surface water sources increase. Water pollution is one of the most important causes of diseases and the transmission of infection to the organisms that use it. Also, the quality of agricultural crops is linked to the quality of the water used for irrigation. As a result, there was a need to monitor and evaluate the main water sources to maintain the quality of their water suitable for use by humans and other organisms. As is well known, it is difficult to evaluate the water quality of large samples with concentrations of many parameters using traditional methods, which depend on comparing experimentally determined parameter values with current standards. As a result, over the past century and the present, many methods of assessing water quality have emerged. This research aims to introduce the most important indices of water quality used at present to assess the quality of surface water for drinking and irrigation purposes, as well as the history of these methods and their development over time and their most important advantages, in addition to a group of the most important research that used these methods during the past few years.

4

Assessment of the Al-Abbasiyah River (Iraq) Water Quality for Drinking Purposes Using the Water Quality Index and GIS Software

Al Yousif Mustafa A., Chabuk Ali

Journal of Ecological Engineering

|

2023

|

Vol. 24, nr 8

157--174

EN

All kinds of life, including people, animals, plants, and other species, depend on the rich natural resources of water. However, this valuable resource is becoming increasingly threatened by the increasing population as well as the growing demand for quality water for domestic and economic purposes. Hence the requirement for ongoing river water quality monitoring and assessment. In this research, the water quality (WQ) of the Al-Abbasiyah River was assessed for drinking uses in the dry and wet seasons using the weighted arithmetic water quality index (WAWQI) and GIS software. Eighteen physical, chemical, and biological parameters were measured in 2022 (dry season) and 2023 (wet season) by collecting samples from eight locations along the river. These parameters are: Temperature, EC, pH, TDS, TSS, Turbidity, DO, BOD5, alkalinity, NO3-, HCO3-, Cl-, Mg+2, Ca+2, Na+, K+, TH, and SO4-2. The average of the measured water parameters showed that some of these parameters exceeded the standards limit of the WHO in all locations such as (Alk, TH, Ca+2, Mg+2, SO4-2) and at some locations such as (TDS, Turbidity, and HCO3-). During the dry season, the WA-WQI values varied between 70.33 in (L4) within the category of “poor” and 119.87 in (L7) within the category of “unsuitable”, while in the wet season varied between 49.71 in (L5) within the category of “good”, and 79.35 in (L2) within the category of “poor”. Thus, the water of the Al-Abbasiyah River was unfit for drinking directly and must undergo treatment before use in both seasons.

5

Surface water and groundwater quality assessment using the WQI method and human health risk assessment (HHR) in the lower seybouse (Annaba Plain), northeast Algeria

Fenazi Bilal, Boucenna Fatih, Zeddouri Aziez

Geomatics, Landmanagement and Landscape

|

2023

|

no. 4

7--25

EN

This study was carried out to investigate the current status of surface water and groundwater quality in Lower Seybouse and Annaba Plain, NE Algeria. 36 surface water and groundwater samples were collected in this area, and various physicochemical parameters were analysed. The quality of surface water and groundwater for drinking and the associated health risks were assessed using a Water Quality Index (WQI) and a Human Health Risk Assessment (HHRA) model. The results show that all samples are alkaline with the EC values ranging from 1139 to 5555 μS/cm. The ionic dominance pattern was in the order of Na+ > Mg2+ > Ca2+ > K+ for cations and Cl– > HCO3 – > SO4 2 – > NO3 – for anions, respectively. The dominant water types are SO4-Cl-Ca-Mg and SO4-Cl-Na, formed by dissolution of evaporative and carbonate-rich material. All samples are unsuitable for drinking, with 1 sample classified as poor (rank = 4) and 35 samples as extremely poor (rank = 5). These samples are mainly located near the Seybouse Wadi, which is a natural outlet for wastewater from human activities. The assessment of non-carcinogenic risk showed that the Hazard Index (HI) for males ranged from 0.12 to 1.01 with a mean of 0.30 and only one sample exceeded value 1. For females, the HI was between 0.16 and 1.28 for females, with a mean of 0.39. The risk for children was even higher, ranging from 0.41 to 3.28, with a mean of 1.03, suggesting that children are more vulnerable to water contamination. The Carcinogenic Risk (CR) values for Pb ranged from 10–3 to 8.6 · 10–3, with a mean of 2.6 · 10–3 for males, and between 1.4 · 10–3 to 10–2, with a mean of 3.3 · 10–3 for females, while for children the CR values ranged from 3.5 · 10–3 to 2.7 · 10–3, with a mean of 8.4 · 10–3, indicating that no possible CR from water drinking

6

Environmental Assessment of a Unique Filtration Process for Treatment of Polluted Storm Water

Al-Khalaf Safaa K. Hashim, Al-Ridah Zaid Abed, Shlash Marwah Abdullah, Naje Ahmed Samir

Ecological Engineering & Environmental Technology

|

2023

|

Vol. 24, iss. 1

116--124

EN

As a result of poor human activities, storm water is now contaminated, notably in the Middle East. The filtering process is a physical separation with no chemical reactions occurring throughout the operation. The goal of this research is to use three distinct types of filters to improve the quality of storm water: sand, sand with granular activated carbon (GAC), and sand with cotton. Before and after treatment, the pH, turbidity, electric conductivity, TDS, and temperature of storm water are all monitored. In addition, the water quality index (WQI) was computed. The parameters of treated storm water varied depending on the filter media used, such as sand (turbidity = 83 NTU, TDS = 585 mg/L, conductivity = 1190 S/cm, pH = 7.1 and temperature =17.8 °C), sand with GAC (turbidity = 12NTU, TDS = 540 mg/L, conductivity = 910 S/cm, pH = 7 and temperature =18 °C) and sand with cotton (turbidity = 6.4 NTU, TDS = 490 mg/L, conductivity = 1090 μS/cm, pH = 7.2 and temperature =17.6 °C). Sand has a treatment efficiency of 63.6 percent, sand with GAC has an efficiency of 84.9 percent, and sand with cotton has an efficiency of 84.2 percent at a flow rate of 0.66 L/min, when WQI is clean. With GAC, it is clear that the dual media filter is the finest special sand.

7

Assessment of Groundwater Quality in the Berrechid Aquifer, Central Morocco, Using Multivariate Statistics and Water Quality Indices

Moukhliss Mohammed, Taleb Abdslam, Ouallali Abdessalam, Spalevic Velibor, Mazigh Nouhaila, El Fathi Badr, Souabi Salah

Ecological Engineering & Environmental Technology

|

2023

|

Vol. 24, iss. 4

187--199

EN

Groundwater salinity is a serious problem for water quality in the irrigated parts of arid and semi-arid regions, especially in the aquifers of Berrechid, Morocco. This study used a variety of techniques, including the Water Quality Index (WQI) and World Health Organization (WHO) recommended limits, Principal Component Analysis (PCA), and Geographic Information System (GIS) to evaluate the quality of the groundwater for irrigation and domestic use in the Berrechid region in central Morocco. The goal of this study was to evaluate the quality of groundwater for irrigation and human consumption. The collection and analysis of twenty-two samples for ions was carried out, including, EC, Cl-, NO3-, NH4+, NO2-, Ca2+, Mg2+, pH, SO42-, Na+, K+, CO3-, HCO3-, and Mn2+. The Water Quality Index (WQI) was used to classify the water quality vis: excellent, good, average, poor and very poor. The research area’s water quality index (WQI) ranges from 43.89 to 439.34, with around 40.90% of samples having excellent water quality, 45.45% having poor water quality, 4.54% showing extremely bad water quality, and 9.09% having unsuitable quality for human consumption. The principal component analysis reveals that the average concentration of cations in groundwater was Na+> Mg2+> Ca2+> K+> Mn2+> NH4+, whereas the concentration of anions was Cl-> HCO3-> SO42-> NO3-> NO2-> CO32-. The correlation matrix was created and analyzed to determine its significance in groundwater quality assessment. The primary sources of pollution are household waste, exposed septic tanks, landfill leachate, and excessive fertilizer usage in agriculture and industrial operations. The current analysis demonstrates that the deteriorating groundwater quality in the region needs pre-consumption treatment and contamination risk prevention.

8

Application of Water Quality Index to Assess the Potability of the Phreatic Aquifer in Ouargla (Algeria)

Hammad Nabila, Bouselsal Boualem, Boussaada Nawel, Satouh Adel, Lakhdari Alia Sara

Ecological Engineering & Environmental Technology

|

2023

|

Vol. 24, iss. 5

36--45

EN

Groundwater is essential for sustainable development and drinking water supply in the Saharan regions. This work aims to assess the quality of water for domestic use and the hydrogeochemical characteristics of the phreatic aquifer of the Ouargla. Forty-two (42) wells capturing the phreatic aquifer are sampled and analyzed. The parameters analyzed are pH, EC, TDS, cations and anions. The water’s potability was evaluated using the Water Quality Index (WQI) method, using the main physicochemical parameters that have potential adverse effects on human health. The results obtained show three classes: the poor class (14.29%), the very poor class (19.04%), and the non-potable class (66.67%). The analysis of the Piper and the Gibbs diagrams, the Pearson correlation matrix and the diagrams of relationship between the major elements, as well as the indices of saturation of the main minerals, shows that the groundwater samples were arranged into two groups; Ca-Mg-SO4 -Cl (38.5%) and Na-Cl (61.5%), the geochemical processes occurring in the aquifer mainly include the dissolution of halite, gypsum, the cation exchange between water and clay minerals and anthropogenic inputs.

9

Application of the Water Quality Index to Assess Groundwater Quality in the Bou Dhar Mining District in Beni Tajjit (High Atlas, Morocco)

Abdellaoui Mohamed, Abdellaoui Omar, Abdaoui Abdellali, Ait Boughrous Ali

Ecological Engineering & Environmental Technology

|

2023

|

Vol. 24, iss. 8

247--260

EN

Water scarcity remains the main problem in Morocco, making water resource conservation paramount. The objective of this study is to shed light on how mining impacts the region of Beni Tajjit’s groundwater resources, which are used for irrigation and watering, which includes the Bou Dhar mining district, known for its vast lead and zinc sulfide deposits. The oxidation of sulfide-rich mine tailings generates acid water loaded with sulfates, creating acid mine drainage (AMD), which hurts aquatic ecosystems and the environment through trace metals elements (TME). Hence the need to assess the possible contamination of aquifers by metallic pollutants. This work can help water managers make appropriate decisions for controlling the quality of the groundwater in the Beni Tajjit area. During this study, we adopted a method: the Water Quality Index (WQI), designed to indicate the overall level of water quality by aggregating various weighted measurements. Five samples representing water sources around the mine tailings were taken and analyzed. Their values of dissolved oxygen, electrical conductivity and pH were measured on-site. The results allow us to classify the water into good and bad categories. They showed that the TME values were practically lower than the maximum permitted level according to WHO norms and Moroccan irrigation standards. The main reason for this may be due to the carbonate geological context of the site, which buffers acidity and thus forms a chemical barrier against the transfer of TME to the aquifer. The high chlorine levels appear due to geochemical background or anthropogenies contaminations. The sulfate values recorded are related to the leaching of sulfide minerals from mine tailings.

10

Evaluation of the impact of anthropogenic activities on surface water quality using a water quality index and environmental assessment

García-Ávila Fernando, Jiménez-Ordóñez Magaly, Torres-Sánchez Jessica, Iglesias-Abad Sergio, Cabello Torres Rita, Zhindón-Arévalo César

Journal of Water and Land Development

|

2022

|

no. 53

58--67

EN

The article presents an assessment of the effects of anthropogenic activities on the quality of water in four streams flowing through a camp based on a combined assessment of environmental impacts and the water quality index. The quantitative and qualitative assessment of environmental impact was made after identifying the anthropogenic activities carried out in the camp. The water quality index (WQI) was calculated after monitoring seventeen physicochemical and microbiological variables and the Montoya index was applied. The samples were collected during 48 sampling campaigns, organised over the period of six months in eight stations. Two stations were located in each stream, one before and one after it passed through the camp. The results indicated that streams 1, 3, and 4 show a slight deterioration in water quality, affected by anthropogenic activities carried out in the said camp; meanwhile, stream 2 shows an increasing deterioration in water quality. The water quality of the streams before passing through the camp was determined to be between “uncontaminated” and “acceptable”, while after passing through the camp it was classified between “acceptable” and “slightly contaminated”. The results indicated a non-significant difference between the downstream and upstream WQI values for streams 1, 3, and 4; while stream 2 did show a significant difference in the WQI between upstream and downstream; indicating that anthropogenic activities alter the quality of the water.

11

Assessment of WQI for the Al-Jubalia Water Treatment Plant

Naeem Saja M., Al Chalabi Ahmed S., Al-Marj Ohood K.

Journal of Ecological Engineering

|

2022

|

Vol. 23, nr 10

216--228

EN

The water quality index is an effective tool for determining water quality. All water treatment plants in the Basrah governorate source their water from the Shatt al-Arab River. A water quality index (WQI) for both raw and treated water for the Al-Jubalia water treatment plant is obtained in order to assess its acceptability as a source of residential water supply and the performance of water treatment facilities. From January to December 2019, the physicochemical parameters were observed for the calculation of WQI for the annual and four seasons: winter, spring, summer, and autumn. The pH, turbidity, electric conductivity, total alkalinity, total hardness, Ca, Mg, Cl, SO4, TDS, Na, and K are the parameters that were considered in this study. In winter, spring, and summer, the results show that raw and treated water were unsuitable for home, industrial, and irrigation needs. In autumn, only the treated water was classified as good water according to WQI categories. As a result, the quality of the Al-Jubalia WTP treated water supply is unfit for human consumption.

12

Application of Water Quality Index and Multivariate Statistical Techniques to Assess and Predict of Groundwater Quality with Aid of Geographic Information System

Dawood Ammar S., Jabbar Mushtak T., Al-Tameemi Hayfaa H., Baer Eric M.

Journal of Ecological Engineering

|

2022

|

Vol. 23, nr 6

189--204

EN

In this study, the groundwater quality and spatial distribution of the Basra province in the south of Iraq was assessed and mapped for drinking and irrigation purposes. Groundwater samples (n = 41) were collected from deep wells in the study area to demonstrate, estimate and model the Water Quality Index (WQI). The analysis of water samples integrated with GIS-based IDW technique was used to express the spatial variation in the study area with consideration of WQI. The physicochemical parameters, including pH, sodium (Na+), electrical conductivity (EC), chloride (Cl-), total dissolved solids (TDS), calcium (Ca2+), nitrate (NO3-), sulfate (SO42-), magnesium (Mg2+), and bicarbonate (HCO3-) were identified for groundwater quality assessment. The results of calculated WQI classify groundwater into three sorts. The results of WQI showed that 2.5%, 2.5% and 95% of the groundwater samples were classified as poor/very poor/unsuitable for drinking, respectively. The GIS tools integrated with statistical techniques are utilized for spatial distribution and description of water quality. Correlation analysis of groundwater data revealed that some parameters have actually a relationship that is strong with the other parameters and they share a common source of origin. Multivariate statistical techniques, especially cluster analysis (CA) and factor analysis (FA), were applied for the evaluation of spatial variations of forty-one selected groundwater samples. Cluster analysis confirmed that some different locations of wells have comparable sourced elements of water pollution, whereas factor analysis yielded three factors which are accountable for groundwater quality variations, clarifying more than 72% of the total variance of the data and permitted to group the preferred water quality. MultiLayer Perceptron (MLP) models were applied in modeling the water quality index. Comparing different result values of the MLP network suggested that the values of MSE and r for the selected model are 0.1940 and 0.9998, respectively. Finally, it can be revealed that the MLP network precisely predicted the output, i.e. the WQI values.

13

A Multivariate Technique to Develop Hybrid Water Quality Index of the Bengawan Solo River, Indonesia

Lusiana Evellin Dewi, Mahmudi Mohammad, Hutahaean Sarah Mega, Darmawan Arief, Buwono Nanik Retno, Arsad Sulastri, Musa Muhammad

Journal of Ecological Engineering

|

2022

|

Vol. 23, nr 2

123--131

EN

Surface water resource, such as river, is constantly contaminated by domestic and industrial pollutants. In order to properly manage the water resource, a composite index for water quality assessment, such as water quality index (WQI), has been designed to monitor and evaluate the properties of surface water. However, this index is quite subjective in terms of determination of relative weights. A principal component analysis (PCA) can be used to reduce the dimension and subjectivity of water quality variables. The purpose of this study was to implement the use of hybrid PCA and WQI methods to assess and monitor the water quality of the Bengawan Solo River, which is located in Java Island, Indonesia. The result suggested that COD, BOD, TSS, TDS, nitrate, nitrite, and ammonia were the main factors that determine water quality of the Bengawan Solo River. Furthermore, it was revealed that most samples from the river showed water quality status as slightly polluted. In addition to this, the seasonal variation of the PCWI values indicated a significant increase of water pollution in the Bengawan Solo River per year.

14

Use of Quality and Organic Pollution Indices in The Physico-Chemical Quality Assessment of Kébir Wadi East Surface Waters (Region of El Taref, Extreme North East Algeria)

Bahroun Sofia, Nouri Nada, Smida Bouthaina

Civil and Environmental Engineering Reports

|

2022

|

Vol. 32, no. 1

43--58

EN

Surface water is subject to strong anthropogenic pressures caused by the development and the extension of the agricultural activities and also by the industrial and domestic activities. Pollution is a major environmental problem due to discharges into rivers and the excessive use of agricultural fertilizers add to that the discharges from urban and industrial sources. The aim of this study is to assess the quality and the state of the organic pollution of surface water in the Kébir wadi east, based on the Water Quality Index (WQI) and the Organic Pollution Index (OPI) during six sampling campaigns carried out between April and September of the year 2011. Seven stations were studied along the Kébir wadi east downstream from the Mexa Dam. The results are visualized by the use of GIS through making thematic maps. They revealed that half of the stations show excellent to good water quality and moderated organic pollution except the stations S3, S6 and S4, that have poor water quality and high pollution at S3 and S6 respectively, and non-potable water with very high organic pollution at S4. The anthropogenic environmental deterioration recorded in the wadi is the result of the use of nitrogen and phosphate agricultural fertilizers and especially, the discharge of untreated domestic and industrial wastewater from neighbouring agglomerations. The seasonal variation remains discrete and reflects a slight tendency to the deterioration of the waters of El Tarf region during the low waters of the summer period.

15

Water Quality Classification by Integration of Attribute-Realization and Support Vector Machine for the Chao Phraya River

Sillberg Chalisa Veesommai, Kullavanijaya Pratin, Chavalparit Orathai

Journal of Ecological Engineering

|

2021

|

Vol. 22, nr 9

70--86

EN

The water quality index (WQI) is an essential indicator to manage water usage properly. This study aimed at applying a machine learning-based approach integrating attribute-realization (AR) and support vector machine (SVM) algorithm to classify the Chao Phraya River’s water quality. The historical monitoring dataset during 2008-2019 including biological oxygen demand (BOD), conductivity (Cond), dissolved oxygen (DO), faecal coliform bacteria (FCB), total coliform bacteria (TCB), ammonia (NH3-N), nitrate (NO3-N), salinity (Sal), suspended solids (SS), total nitrogen (TN), total dissolved solids (TDS), and turbidity (Turb), were processed via four studied steps: data pre-processing by means substituting method, contributing parameter evaluation by recognition pattern study, examination of the mathematic functions for quality classification, and validation of obtained approach. The results showed that NH3-N, TCB, FCB, BOD, DO, and Sal were the main attributes contributing orderly to water quality classification with confidence values of 0.80, 0.79, 0.78, 0.76, 0.69, and 0.64, respectively. Linear regression was the most suitable function to river water data classification than Sigmoid, Radial basis and Polynomial. The different number of attributes and mathematic functions promoted the different classification performance and accuracy. The validation confirmed that AR-SVM was a potent approach application to classify river water’s quality with 0.86-0.95 accuracy when applied three to six attributes.

16

Hydrochemical Characterization and Water Quality of the Continental Intercalare Aquifer in the Ghardaïa Region (Algerian Sahara)

Mokhtar Kebili, Boualem Bouselsal, Layachi Gouaidia

Journal of Ecological Engineering

|

2021

|

Vol. 22, nr 10

152--162

EN

This study investigates the hydrogeochemical characteristics and water quality of the Ghardaïa Continental Intercalare (CI) aquifer for domestic purposes and agricultural irrigation. Twenty-eight (28) grondwater samples were collected and analyzed for different physicochemical parameters. The result of the hydrochemical analysis illustrates that three facies dominate the CI waters: SO4-Na, Cl-Na, and HCO3-Na. The analysis of the correlation matrix and the characteristic ratios, as well as the calculations of the saturation indices of the main minerals, show that the mineralization of the waters is linked to the dissolution of evaporites (gypsum and halite in particular) and the cationic exchange phenomenon. The assessment of the potability of the water by using the water quality index (WQI) method shows three classes of water quality, namely, excellent (14.28%), good (7.14%), and poor (78.58%). The agricultural water quality was assessed using the parameters; EC, SAR, Na%, KR, PI and MH. The results show that the waters of the continental intercalare aquifer are generally of good quality for irrigation. However, the high salinity of the waters requires good drainage of the cultivated soils.

17

Assessment of Groundwater Pollution Vulnerability, Hazard and Risk in a Semi-Arid Region

Haied Nadjib, Khadri Samira, Foufou Atif, Azlaoui Mohamed, Chaab Salah, Bougherira Nabil

Journal of Ecological Engineering

|

2021

|

Vol. 22, nr 10

1--13

EN

The Mio-plio-quaternary aquifer of the Djelfa Syncline is part of a region in Algeria which is characterized by the lack of surface water resources and located in a semi-arid climate. Since alluvial aquifers, and among them our aquifer, are the most vulnerable because of thier direct exposure to the pollution caused by the infiltrated pollutants, this work focused on the assessement of groundwater pollution vulnerability, hazard and risk. Thus, several methods were used; for this purpose, such as the DRASTIC and WQI methods mapped using a GIS. The results obtained clearly show a low to moderate vulnerability. The DRASTIC model and its validation based on the correlation with WQI revealed a low correlation (WQIvs DI : 0.221). Since the vulnerability model does not match with the groundwater quality, pollution risk was assessed by combining vulnerabilty and hazard (i.e, water quality). The risk map illustrated three levels ranging from low to high risk. This map should be helpful in decision making and groundwater management through avoiding high risk areas.

18

Assessment and Mapping of Groundwater Quality for Irrigation and Drinking in a Semi-Arid Area in Algeria

Azlaoui Mohamed, Zeddouri Aziez, Haied Nadjib, Nezli Imed Eddine, Foufou Atif

Journal of Ecological Engineering

|

2021

|

Vol. 22, nr 8

19--32

EN

Groundwater is the main resource used to meet the people’s drinking water and irrigation needs of the Ain Oussera plain, because of the lack of surface-water resources. This paper intended to evaluate the suitability of groundwater for agriculture and drinking in the Ain Oussera plains. The data of the study were gathered and analyzed from twenty (20) groundwater samples collected to assess the plain groundwater quality, using the Water Quality Index (WQI) and GIS, carried out on physico-chemical parameters, including potential of hydrogen (pH), total dissolved solids (TDS) electrical conductivity (EC), potassium (K+), sodium (Na+), magnesium (Mg2+), and calcium (Ca2+) and major anions (Cl, HCO3, NO3, SO4), as well as, the water suitability test for agricultural purposes, using the sodium adsorption ratio. These parameters were inserted into the GIS platform to create a spatial distribution map for each parameter using the inverse interpolation technique (IDW). The results indicated that the concentrations are within the Algerian permissible limits. The water quality index (WQI), which evaluates the suitability of water for consumption, varies from 31 to 173 with an average value of 81. 70% of the samples from the Ain Oussera plain fall within the excellent and good quality categories. Its water is suitable for consumption (WQI < 100), while 30% is in the poor water category. From the calculation of SAR values, it was found that 90% of the groundwater samples are considered excellent and suitable for irrigation. According to the classification of the United States Salinity Laboratory USSL, the Ain Oussera water quality is classified as poor for irrigation purposes.

19

Water Quality Assessment of the Morava e Binçës River Based on the Physicochemical Parameters and Water Quality Index

Musliu M., Bilalli A., Durmishi B., Ismaili M., Ibrahimi H.

Journal of Ecological Engineering

|

2018

|

Vol. 19, nr 6

104--112

EN

The quality of surface waters is being impacted by the anthropogenic and natural pollution, thus limiting the usage of this water for drinking, industry, agriculture, recreation and other purposes. The water quality indices are intended to provide a single value for the water quality of a source or a stream that reduces the large amount of parameters in a simpler expression and enables an easy interpretation of the monitoring data. During 2017, seventeen physicochemical parameters were measured in spring, summer, autumn and winter, in five locations along the Morava e Binçës River in Kosovo. For the assessment we employed the Water Quality Index (WQI) which uses the physicochemical parameters for the evaluation of the water quality. The findings of this study ascertain that MB1 station had the best quality with a value of WQI 88 and is classified in the Good Category, whereas the lowest quality of water was found on in MB4 station with a value of WQI 65 and it is thus classified in the Fair Category. Finally, the average WQI was calculated for the entire measurement period and it resulted in a value of 77.60 indicating that the Morava e Binçës River waters belong to the Fair Category.

20

Status Assessment of Heavy Metals in Water of the Lepenci River Basin, Kosova

Bytyçi P., Fetoshi O., Durmishi B. H., Etemi F. Z., Çadraku H., Ismaili M., Abazi A. S.

Journal of Ecological Engineering

|

2018

|

Vol. 19, nr 5

19--32

EN

Water represents an essential element for life and living things on earth. Aquatic ecosystems play a decisive role in the socio-economic development in urban and rural areas. In recent decades, there has been concern at the global level with regard to the deterioration of aquatic ecosystems due to the pollution, which is a product of mainly anthropogenic activity. Heavy metals pollution is worrisome for the ecological balance of the aquatic environment, affecting a variety of organisms. Therefore, the objective of this paper was to characterize the quality of water in the Lepenci River basin, to express heavy metals concentration, and to determine the surface water quality index in this basin. In order to achieve such an objective, water samples were collected at eight stations for analyzing the concentrations for heavy metals. Heavy metals were determined by means of atomic absorption spectrophotometry. A good correlation was found between Pb and Zn (r = 0.84), whereas the average negative correlation coefficient was shown between Mn and Cr (r = -0.6513). The heavy metals concentrations varied from 0.0092 to 0.1135 mg/L.The mean concentrations of heavy metals found in the river water were in the order of: Mn > Fe > Pb > Ni > Cd > Zn > Cr > Cu. The Water Quality Index varied from 57 to 81, with the average value of WQI = 68.1250, which ranks the surface water of this basin as fair. From the results we have concluded that the Lepenci River waters during the monitoring period have had low pollution from heavy metals.