scholarly journals Application of Irrigation Water Quality Indices and Multivariate Statistical Techniques for Surface Water Quality Assessments in the Northern Nile Delta, Egypt

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3300
Author(s):  
Salah Elsayed ◽  
Hend Hussein ◽  
Farahat S. Moghanm ◽  
Khaled M. Khedher ◽  
Ebrahem M. Eid ◽  
...  

Under sustainable development conditions, the water quality of irrigation systems is a complex issue which involves the combined effects of several surface water management parameters. Therefore, this work aims to enhance the surface water quality assessment and geochemical controlling mechanisms and to assess the validation of surface water networks for irrigation using six Water Quality Indices (WQIs) supported by multivariate modelling techniques, such as Principal Component Regression (PCR), Support Vector Machine Regression (SVMR) and Stepwise Multiple Linear Regression (SMLR). A total of 110 surface water samples from a network of surface water cannels during the summers of 2018 and 2019 were collected for this research and standard analytical techniques were used to measure 21 physical and chemical parameters. The physicochemical properties revealed that the major ions concentrations were reported in the following order: Ca2+ > Na+ > Mg2+ > K+ and alkalinity > SO42− > Cl− > NO3− > F−. The trace elements concentrations were reported in the following order: Fe > Mn > B > Cr > Pb > Ni > Cu > Zn > Cd. The surface water belongs to the Ca2+-Mg2+-HCO3− and Ca2+-Mg2+-Cl−-SO42− water types, under a stress of silicate weathering and reverse ion exchange process. The computation of WQI values across two years revealed that 82% of samples represent a high class and the remaining 18% constitute a medium class of water quality for irrigation use with respect to the Irrigation Water Quality (IWQ) value, while the Sodium Percentage (Na%) values across two years indicated that 96% of samples fell into in a healthy class and 4% fell into in a permissible class for irrigation. In addition, the Sodium Absorption Ratio (SAR), Permeability Index (PI), Kelley Index (KI) and Residual Sodium Carbonate (RSC) values revealed that all surface water samples were appropriate for irrigation use. The PCR and SVMR indicated accurate and robust models that predict the six WQIs in both datasets of the calibration (Cal.) and validation (Val.), with R2 values varying from 0.48 to 0.99. The SMLR presented estimated the six WQIs well, with an R2 value that ranged from 0.66 to 0.99. In conclusion, WQIs and multivariate statistical analyses are effective and applicable for assessing the surface water quality. The PCR, SVMR and SMLR models provided robust and reliable estimates of the different indices and showed the highest R2 and the highest slopes values close to 1.00, as well as minimum values of RMSE in all models.

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2258
Author(s):  
Mohamed Gad ◽  
Magda M. Abou El-Safa ◽  
Mohamed Farouk ◽  
Hend Hussein ◽  
Ashwaq M. Alnemari ◽  
...  

Water quality has deteriorated in recent years as a result of rising population and unplanned development, impacting ecosystem health. The water quality parameters of Qaroun Lake are contaminated to varying degrees, particularly for aquatic life consumption. For that, the objective of this work is to improve the assessments of surface water quality and to determine the different geo-environmental parameters affecting the lake environmental system in Qaroun Lake utilizing the weighted arithmetic water quality index (WAWQI) and four pollution indices (heavy metal pollution index (HPI), metal index (MI), contamination index (Cd), and pollution index (PI), that are enhanced by multivariate analyses as cluster analysis (CA), principal component analysis (PCA), and support vector machine regression (SVMR). Surface water samples were collected at 16 different locations from the lake during years 2018 and 2019. Thirteen physiochemical parameters were measured and used to calculate water quality indices (WQIs). The WQIs of Qaroun Lake such WAWQI, HPI, MI, Cd, PI revealed a different degree of contamination, with respect to aquatic life utilization. The WQIs result revealed that surface water in the lake is unsuitable, high polluted, and seriously affected by pollution for an aquatic environment. The PI findings revealed that surface water samples of Qaroun Lake were significantly impacted by Al, moderately affected by Cd and Cu, and while slightly affected by Zn due to uncontrolled releases of domestic and industrial wastewater. Furthermore, increasing salinity accelerates the deterioration of the lake aquatic environment. Therefore, sewage and drainage wastewater should be treated before discharging into the lake. The SVMR models based on physiochemical parameters presented the highest performance as an alternative method to predict the WQIs. For example, the calibration (Val.) and the validation (Val.) models performed best in assessing the WQIs with R2 (0.99) and with R2 (0.97–0.99), respectively. Finally, a combination of WQIs, CA, PCA, and SVMR approaches could be employed to assess surface water quality in Qaroun Lake.


2020 ◽  
pp. 1978-1993
Author(s):  
Sarmad Jamal Hussien ◽  
Firas Mudhafar Abdulhussein

The hydrochemical study of the surface and groundwater in Khan AL-Baghdadi  area  included interpretation of physical, chemical and biological properties of 14 wells and 6  surface water samples collected from Euphrates River.. The study covered two periods representing dry and wet periods in October 2018 and April 2019, respectively. The surface water samples were characterized as slightly alkaline, fresh water, excessively mineralized, calcium-chloride type, and hard to very hard class. While the groundwater samples were characterized as slightly alkaline, brackish water, excessively mineralized, calcium-chloride and sodium-chloride type, and hard to very hard class. The assessment of water for irrigation purposes for both water sources in the dry period showed a Sodium Adsorption Ratio (SAR) of no harmful effects, while the Soluble Sodium Percentage (Na%) demonstrated a good irrigation Water Class, except for one well with a permissible irrigation Water Class. While in the wet period, all surface and groundwater samples were of a good irrigation Water Class, except for two wells with permissible irrigation Water Class. In terms of total dissolved solids (TDS) and electrical conductivity (EC), all surface water samples for the two periods were within the permissible limits of irrigation water quality, whereas groundwater samples for the two periods showed unsuitable limits, except for three wells within the permissible limits of irrigation water quality. The microbiological tests showed that all samples  of surface and groundwater are classified as clean.


1989 ◽  
Vol 21 (10-11) ◽  
pp. 1137-1148 ◽  
Author(s):  
M. A. House ◽  
D. H. Newsome

The need for a simple, objective and reproducible numeric scale to represent water quality in terms that all types of user will accept has been apparent for the last twenty years. Subjective classifications of water quality have been made, but they are seldom reproducible and lack sensitivity. Now, a new family of water quality indices has been developed that can be used either independently or in combination which promise to overcome previous criticisms. They are currently being used by a UK water authority to assess their utility to personnel responsible for both the planning and day-to-day management of surface water quality.


2015 ◽  
Vol 2 (1) ◽  
pp. 260 ◽  
Author(s):  
Retno Wimbaningrum ◽  
Endang Arisoesilaningsih ◽  
Catur Retnaningdyah ◽  
Serafinah Indriyani

<p>Irrigated agriculture is dependent on an adequate water supply of usable quality. The analysis of physico­chemical parameters of surface water inJember District was done for the criteria of irrigation water quality. Surface water comprises spring water, falls, rivers, and tertiary irrigation channels. For this purpose, three sectors or locations were chosen to take twenty seven water samples in the summer season (September to October, 2013). DO, electrical conductivity (ECw), pH, and water temperature values were measured directly in the field,while analyses of nitrate (NH3-N), orthophosphate, total dissolved solids (TDS), and bicarbonate (HCO3-) was conducted in a laboratory. The results indicated that ECw, TDS, pH, water temperature,NH3-N, and orthophosphate were under the limits set out by the Rules of the Republic of Indonesia Government (PP RI) No. 82, 2001, for water quality standard and FAO for irrigation water quality standard. Thus, the surface water of Jember District was considered to be suitable for irrigation at the sampled location.</p><p><br /><strong>Keywords</strong>: Surface water quality; irrigation; physico-chemical parameter; Jember District.</p>


2020 ◽  
Vol 8 (3) ◽  
pp. 156-179
Author(s):  
Mamdouh Salama Morsi ◽  
Abdel Hai. A. Farrag ◽  
Esam E. A. El Sayed ◽  
Ashraf M. T. Elewa

Water from some sources may contain so much salt that it is unsuitable for irrigation because of potential danger to the soil or crops. Irrigation water quality can best be determined by chemical laboratory analysis. The main objectives of this study are to assess the surface water quality for irrigation, and to present solutions for managing and protecting these resources in Assiut area. To achieve that, thirty surface water samples were collected from River Nile and main irrigation canals. Chemical analysis was carried out and analyzed for major and trace elements according to the irrigation water guidelines of (FAO 1985), and (Rowe, et al. 1995), taking into account the spatial variations and the representation of the hydro chemical data. The results show that 97% of surface water samples lie within no restriction on use level and 3% is represent slight to moderate restoration on use according to TDS concentrations. 97 % of surface water samples belongs to (C2-S1) good water for irrigation all crops in all soils and 3 % belongs to (C3 -S1) good water for irrigation all crops in all soils under ordinary and specific condition like adequate drainage and leaching According U.S. salinity laboratory staff classification depend on (EC, TDS and SAR). Where 87% Excellent water for irrigation sensitive all crops and low likelihood of soil problems According Boron content. Consequently, it is recommended to prevent the sewage and domestic waste water, and the industrial waste water from direct disposal without treatment to the irrigation canals and River Nile; controlling the use of fertilizers and pesticides in the agriculture purposes; selected the suitable crops for every sector (area) according to the chemical characters of the available irrigation water and soil properties.


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