Kelly's Ratio Research Articles

Photocatalytic degradation of reactive dyes using natural photo-smart pigment-A novel approach for waste water re-usability.

The present study is aimed at an efficient photocatalytic degradation of industrially important reactive dyes using phycocyanin extract as aphotocatalyst. The percentage of dye degradation was evidenced by aUV-visible spectrophotometer and FT-IR analysis. The degraded water was checked for its complete degradation by varying pH from 3 to 12. Furthermore, the degraded water was also analyzed for water quality parameters and was found to meet industrial wastewater standards. The calculated irrigation parameters like magnesium hazard ratio, soluble sodium percentage, and Kelly's ratio of degraded water were within the permissible limits, which enables its reusability in irrigation, aquaculture, as industrial coolants, and domestic applications. The calculated correlation matrix shows that the metal influences various macro-, micro-, and non-essential elements. These results suggest that the non-essential element lead can be effectively reduced by increasing all the other micronutrients and macronutrients under study except sodium metal.

Hydrogeochemical characteristics of Kodku River of Lalitpur District, Nepal

Abstract Hydro-geochemical characteristics of Kodku River of Lalitpur, Nepal were determined through analysis of physicochemical parameters including major anions and cations. This study also characterizes and evaluates the suitability for drinking and irrigation. The results showed that river water is slightly alkaline toward the downstream. The concentration of BOD, COD, and total coliform was much higher than its prescribed limits for drinking purposes in downstream, whereas a few samples in upstream are fit for drinking with reference to WQI value. The estimated sodium percentage (Na%), sodium adsorption ratio (SAR), permeability index (PI), magnesium adsorption ratio (MAR), and Kelly's ratio (KR) depict the excellent and safe categories for irrigation purposes. The obtained Wilcox diagram also revealed that river water falls under the C1S1 category which is safe for crops. Hydrogeochemical facies in Piper diagrams signifies the dominance of Ca–HCO3 type. Similarly, Gibbs maps indicate mineral (rock) weathering, whereas mixing diagram reveals carbonate weathering as the main controlling factor of major ion species. This study provides information on the hydrogeochemical properties of the river and its suitability for drinking and irrigation. Despite the comprehensiveness, the study can be an effective approach for countries with similar levels of water resources management.

Effects of Seawater Intrusion on the Groundwater Quality of Multi-Layered Aquifers in Eastern Saudi Arabia

The degradation of groundwater (GW) quality due to seawater intrusion (SWI) is a major water security issue in water-scarce regions. This study aims to delineate the impact of SWI on the GW quality of a multilayered aquifer system in the eastern coastal region of Saudi Arabia. The physical and chemical properties of the GW were determined via field investigations and laboratory analyses. Irrigation indices (electrical conductivity (EC), potential salinity (PS), sodium adsorption ratio (SAR), Na%, Kelly's ratio (KR), magnesium adsorption ratio (MAR), and permeability index (PI)) and a SWI index (fsea) were obtained to assess the suitability of GW for irrigation. K-mean clustering, correlation analysis, and principal component analysis (PCA) were used to determine the relationship between irrigation hazard indices and the degree of SWI. The tested GW samples were grouped into four clusters (C1, C2, C3, and C4), with average SWI degrees of 15%, 8%, 5%, and 2%, respectively. The results showed that the tested GW was unsuitable for irrigation due to salinity hazards. However, a noticeable increase in sodium and magnesium hazards was also observed. Moreover, increasing the degree of SWI (fsea) was associated with increasing salinity, sodium, and magnesium, with higher values observed in the GW samples in cluster C1, followed by clusters C2, C3, and C4. The correlation analysis and PCA results illustrated that the irrigation indices, including EC, PS, SAR, and MAR, were grouped with the SWI index (fsea), indicating the possibility of using them as primary irrigation indices to reflect the impact of SWI on GW quality in coastal regions. The results of this study will help guide decision-makers toward proper management practices for SWI mitigation and enhancing GW quality for irrigation.

Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices

Forecasting water quality parameters helps plan crop selection and irrigation strategies but is often costly because many parameters are required, particularly in developing nations. Therefore, the current research objective is to estimate the irrigation water quality indices in the Nand Samand catchment by developing machine learning models. To accomplish this objective, six machine learning models (Regression by discretization REGD; Regression by discretization-Bagging, REGD-Bagging; Regression by discretization-Random Subspace, REGD-RSS; Regression by discretization-Additive Regression, REGD-AR; Regression by discretization-M5 Pruned, REGD-M5P; Regression by discretization-Random Forest, REGD-RF) were developed and the accuracy of these model's were checked by ten statistics models and validated for predicting four irrigation water quality indices (soluble sodium percentage, SSP; sodium adsorption ratio, SAR; magnesium hazards, MH; Kelly's ratio, KR). Eleven physicochemical variables were analyzed from 95 open wells of the research area for two different seasons in 2020, pre-monsoon and post-monsoon, respectively. Results revealed that the REGD-M5P model showed the best fit for all irrigation indices based on the correlation coefficient(r) for the SSP, MH, KR, and SAR index (0.947, 0.975, 0.950, and 0.956 during the training phase and 0.868, 0.966, 0.930, and 0.979 during the testing phase, respectively). Similarly, root mean square error (RMSE) values showed the best fit for the REGD-M5P model for all four irrigation indices, i.e., SSP, MH, KR, and SAR (3.696, 3.100, 0.115, and 0.393 in the training phase; 3.446, 3.772, 0.125 and 0.207 in the testing phase, respectively). It may be concluded that machine learning models may improve the parameters of irrigation water quality, and such findings are vital to farmers for crop selection and irrigation application planning. Additionally, the proposed machine learning models in predicting the irrigation water quality index and being fast decision tools for modeling irrigation water quality are also very important.

Spatiotemporal variations of hydrochemical characteristics of irrigation water: a case study of the Lower Rio Grande Valley, USA

Abstract Hydrochemical characteristics of irrigation water and their spatiotemporal variations can provide critical information for ensuring healthy crop growth and determining the best water management practices. The Lower Rio Grande Valley (LRGV) is heavily dependent upon ditch irrigation to deliver water from the Rio Grande River to support its staple crop production. To date, no studies have been conducted to quantify the water quality and its variations along the distribution system. This research measured water quality parameters at seven sites in LRGV irrigation water in 2021. Chemical indices including salinity hazard (SH), sodium adsorption ratio (SAR), sodium percentage (Na%), residual sodium carbonate (RSC), magnesium hazard (MH), Kelly's Ratio (KR), and permeability index (PI) were calculated. Classification diagrams were prepared. Results revealed the locations that had doubtful water for irrigation use and more problematic water quality index levels. June and August had the highest index levels, which may have been attributable to the large rainfall events in May and July. The SH, Na%, KR, and MH indices exceeded recommended levels. ANOVA analyses showed significant temporal variations in SAR, RSC, MH, KR, and PI. These findings indicate the importance of incorporating water quality spatiotemporal variation information in routine irrigation planning and management.

Quality and groundwater contamination of Wadi Hanifa, central Saudi Arabia

In arid and semi-arid regions, freshwater is mainly acquired from groundwater. Over the years, human activities have reduced the latter's quality, making it a threat to health. Heavy metal pollution index (HPI), metal index (MI), groundwater quality index (GWQI), sodium absorption ratio (SAR), magnesium ratio (MR), Kelly's ratio (KR), and sodium percentage (Na%) were applied as pollution parameters and indices in assessing the groundwater's suitability for irrigation and drinking purposes in Wadi Hanifa in Saudi Arabia. Samples were collected from 26 sites, and a physicochemical analysis and heavy metal analysis were conducted. The results showed a concentration of SO42-, Cl-, Ca2+, HCO3-, Na+, Mg2+, and K+, which is higher than the WHO standards for drinking water. 96.15% of the water samples (n = 25) fell under the Ca-Cl groundwater dominant facies type, and one model fell under the mixed type. According to the GWQI classification, 16.66%, 50%, and 26.92% of the collected samples are categorized as very poor, poor, and generally unsuitable for human consumption, respectively. Parameters such as SAR, KR, and Na% are indicative of irrigation water. The study's primary factors affecting the groundwater chemistry included the natural processes of precipitation or dissolution of the silicates, carbonates, and evaporites alongside anthropogenic activities and soil leaching.

Application of fuzzy C-means clustering and fuzzy EDAS to assess groundwater irrigation suitability and prioritization for agricultural development in a complex hydrogeological basin.

The current research is focused on detecting a river basin suitable for agriculture and priority for management using a new clustering tool of groundwater quality with fuzzy logic technique in R and Geographical Information System. A new fuzzy clustering-soft computing technique has been executed to determine the different hydrochemical zones considering 13 essential parameters such as electrical conductivity, hardness, chloride, sodium adsorption ratio, residual sodium carbonate, soluble sodium percent, magnesium hazard, permeability index, potential salinity, residual sodium bicarbonate, Kelly's ratio, synthetic harmful coefficient, and exchangeable sodium percentage. The derived fuzzy C-mean clustering (FCM) outperformed other available hard computing techniques like hierarchical clustering, K-means clustering, and agglomerative clustering. It divided the sampling sites into 2 clustering groups (FCM I and FCM II) which has been validated using fuzzy silhouette index (0.85), the partition coefficient (0.76), the partial entropy (0.68), and the modified partition coefficient (0.52). The hydrogeochemical analysis confirmed that the rock-water interaction, chemical weathering, and ion exchange process are predominant in the aquifer system of the study area. According to the correlation plots, the studied groundwater samples largely evolved from [Formula: see text], mixed [Formula: see text] types, and [Formula: see text] types. The spatial distribution map and the hydrochemical analysis also gives a clear depiction of the fluoride (> 1.0mg/l) and high iron (> 0.3mg/l) contamination in groundwater quality, making it unsuitable for both drinking and irrigation. A fuzzy EDAS priority map has been prepared based on all the irrigation suitability parameters which concludes that the groundwater at the upstream and downstream section of the basin requires the most attention. Based on the highest priority for management, five zones have been delineated: very high (5.98%), high (22.31%), medium (16.39%), low (32.30%), and very low (23.02). The findings of this study will be beneficial to planners and policymakers as they can develop schemes to solve similar problems across the country.

Identifying factors affecting irrigation metrics in the Haor basin using integrated Shannon's entropy, fuzzy logic and automatic linear model

The sustainability of agricultural practices is seriously threatened by the quality of water used for irrigation. This paper aims to evaluate the suitability of irrigation water and identify the region suitable for agricultural use in the Haor basin of Bangladesh using conventional irrigation indices such as sodium adsorption ratio (SAR), percent sodium (Na%), magnesium hazard ratio (MHR), permeability index (PI), and Kelly's ratio (KR), as well as novel irrigation indices such as, Shannon's entropy index for irrigation water quality (EWQ) and fuzzy logic index for irrigation water quality (FIWQI). The main influences of groundwater and surface water parameters on irrigation indices were predicted using automatic linear modeling (ALM). Forty water samples were collected from shallow tube wells, rivers, canals, ponds, and drainage systems within agricultural land sampled and analyzed for cations and anions. SAR and KR show that 52.5% and 60% of the samples exceeded the allowable level, respectively, indicating that they were unsuitable for irrigation. According to EWQI, about 55% of the analyzed samples were of good quality, while 45% were of medium quality. ALM predicted that KR (0.98), Na% (0.87), and MHR (0.14) were the main significant factors affecting SAR and KR. ALM shows that elevated sodium, magnesium, and calcium are the most important factors affecting irrigation water suitability. The EWQI and FIWQI integrated models showed that water from nearly 30% of the sampling sites would need treatment before use. A new suitability map created by overlaying all parameters showed that surface water and some groundwater in the western and southwestern portions are suitable for agriculture. The north-central part is unsuitable for irrigation due to excessive sodium and magnesium levels. This paper will highlight the irrigation pattern for regional water resource use, identify new suitable regions, and improve sustainable agricultural practices in the Haor basin.

Suitability evaluation of groundwater for drinking and agriculture purpose in Una District, Himachal Pradesh (India)

The study’s goal is to analyze the suitability of the sub-surface water of Una district for drinking and agriculture purposes. The data related to physico-chemical parameters of groundwater of district Una was obtained from Central Groundwater Board’s website and compared to the BIS standard (10500:2012). The values of Ca2+, Cl−, F−, and SO4 2- were found to be below the acceptable limit. pH, TDS, Alkalinity, Mg2+, TH, and NO3 − had values that were above the acceptable limit at a few sites, but within the maximum permissible limit. Furthermore, as per the observed values of Total dissolved solids (TDS), Electric conductivity (EC), Sodium adsorption ratio (SAR), Percentage sodium (Na%) and Permeability Index (PI), the groundwater of Una district is suitable for irrigation purposes. However, Kelly’s Ratio (KR), Magnesium ratio (MR) and Residual sodium-carbonate (RSC) values revealed that groundwater is unfit for irrigation at few sites only. The value of Corrosivity Ratio (CR) was more than 01 for 11 sites indicating that the groundwater of these sites is corrosive in nature and can be transported only via non-corrosive pipes in these locations.

Groundwater quality assessment using the WQI and GIS mapping: Suitability for drinking and irrigation usage in the Sirdala block of Nawada district

Abstract In the present study, the suitability of groundwater for drinking and irrigation purpose were analyzed. A total of 65 groundwater samples were collected and analyzed for relevant water quality parameters from Sirdala block of Nawada district Bihar (India). To estimate the WQI for the drinking purpose, various parameters such as pH, TDS, TH, AS and major ions (Ca2+, Mg2+, Na+, K+, Cl−, F−, HCO3−, NO3−, SO42−) were considered. The WQI for irrigation, various irrigation indices namely soluble sodium percent (Na%), sodium adsorption ratio (SAR), residual sodium bicarbonate (RSCB), permeability index (PI), magnesium hazards ratio (MHR), Kelly's ratio (KR), potential salinity (PS), Cl−: HCO3−, Mg(2+): Ca(2+) and Na+: Ca(2+) were employed and discussed in addition with Wilcox and USSL diagram. Plots, namely Gibbs ratio and Piper diagram, were used to understand chemical characteristics of groundwater. The WQI for drinking purpose was observed between 57.67 and 929.90 in which most samples (70.76%) were unsuitable for drinking. However, the WQI for irrigation purpose varied from 87.88 to 434.67 in which 50% of samples were suitable. Gibb's plots determined in this study reveal that evaporation-precipitation was the dominant factor that influences hydrochemistry. Piper plots suggest that Na-HCO3− water type was major hydrochemical facies in groundwater.

Impact of COVID-19 lockdown on the water quality of the Damodar River, a tributary of the Ganga River in West Bengal.

The online version contains supplementary material available at 10.1007/s40899-022-00790-2.

Evaluation of hydrogeochemical characteristics, spatial distribution of major ions, and water quality for drinking and irrigation in six districts of the Dodoma region in Tanzania.

The present study was carried out to evaluate the hydrogeochemical characteristics, spatial distribution of major ions, and quality of water for drinking and irrigation purposes in six districts of the Dodoma region. The results show that mineralization levels exist along the gradient and are concentrated in the southern part of the region. The order of Electrical Conductivity (EC) was found to be Kongwa > Mpwapwa > Chamwino > Dodoma Urban > Kondoa > Chemba. The percentage of samples in Kongwa district that exceeded the WHO guideline was discovered to be 68.42% for EC (<2500 μS/cm), 85.90% for Ca2+ (75 mg/l),89.50% for Mg2+ (50 mg/l),89.50% for K+ (12 mg/l), 52.63% for Na+ (200 mg/l),46.67% for SO42− (250 mg/l), 94.74% for Cl− (300 mg/l) and 84.21% for HCO3−(250 mg/l). The mean value for some of the parameters in Kongwa district are; 3045.58 ± 1107.64 μS/cm for Electrical Conductivity (EC), 225.91 ± 160.52 mg/l for Ca2+, 116.09 ± 54.64 mg/l for Mg2+,11.85 ± 3.17 mg/l for K+,264.33 ± 144.04 mg/l for Na+, 278.07 ± 335.39 mg/l for SO42−, 608.93 ± 296.17 mg/l for Cl−0.295.86 ± 100.59 mg/l for HCO3−. The order of the cations and anions was found to be Na+>Ca2+>Mg2+>K+ and Cl− > HCO3− > SO4−2. The dominant hydrochemical facies was found to be a mixed Ca–Mg–Cl–SO4 type in all Dodoma districts. Wilcox diagram, Sodium Adsorption Ratio (SAR), Kellys Ratio (KR), %Na, Magnesium Absorption Ratio (MAR) indicate that most of the water in Dodoma is suitable for irrigation purposes.

Suitability of the Lower Ganga basin groundwater for irrigation, using hydrogeochemical parameters and land-use dynamics.

The northern Ganga basin is one of the most densely populated basins in the world. Most agricultural and industrial contaminants drained in the river length are likely to be accumulated in the lower part of the Ganga basin. In this study, we have used ten parameters obtained from 495 sampling locations, besides using long-term climate data (GLDAS_NOAH025_M) to understand the irrigation suitability using the TOPSIS model. Multi-criteria decision making (MCDM) model using TOPSIS has been used to make the best choices from the available finite number of alternatives based on their ranking. The entropy weights for the irrigation suitability parameters such as electrical conductivity (Ec), sodium adsorption ratio (SAR), magnesium hardness (MH), sodium percent (Na%), total hardness (TH), Kelly's ratio (KR), permeability index (PI), chloride concentration (Cl-), groundwater level fluctuation (GWLF), and the Lang factor (Df) are found to be 0.08, 0.14, 0.02, 0.02, 0.04, 0.08, 0.01, 0.32, 0.29, and 0.01, respectively. We find that SAR, Cl-, and GWLF control the water quality for irrigation in the Lower Ganga basin since these parameters have relatively higher entropy weights (more than 0.10). The results obtained from the computed performance index or the closeness coefficient show that the area percent having very good and good groundwater quality for irrigation in the Lower Ganga basin is 77.03% and 22.97% respectively. The land-use change dynamics for the between 2000 and 2015 estimated using the transition matrix shows a positive percentage change for settlement (133.50%), wetland (35.04%), and bare area (0.98%); however, several other classes such as the agriculture (- 0.85%), forest (- 0.49%), grassland (- 14.38%), sparse vegetation (- 11.39%), and water (- 4.12%) show a decreasing trend. The highest amount of percentage change was observed in settlement areas which were contributed by other land-use classes such as agriculture (694.43 km2), water (41.61 km2), forest (16.77 km2), and grassland (1.86 km2). The results may be useful to the concerned organization for the proper planning and management of water resource for sustainable development.

Adequacy of Water Use Resources for Drinking and Irrigation, Study Case of Sarh City, Capital of Moyen-Chari Province, CHAD

Our objective is to evaluate adequacy of water for consumption and irrigation. We collected nineteen water samples from 21 to 26, May 2017. Twenty-two physico-chemical and bacteriological parameters were taken into account, electrical conductivity, pH, total hardness, bicarbonate, nitrates, sulfates, chlorides, calcium, sodium, magnesium, potassium, dissolved oxygen and biochemical oxygen demand, chemical oxygen demand, total coliforms, Escherichia Coli, and fecal coliforms. To evaluate water intended for consumption, average values measured parameters were compared to [1] for quality water drinking and we evaluated overall quality of water by means of simplified SEQ-Water grid. Concerning irrigation water, evaluation is based on interpretation of quality parameters of irrigation water that we have calculated; among these parameters we can mention the percentage of sodium, rate of sodium absorption, ratio of magnesium adsorption, residual sodium carbonate. Kelly ratio, Corrosivity ratio and Permeability Index. Results show that surface water is weakly mineralized compared to groundwater and presents a good chemical quality; however, it is slightly altered by presence of organic pollutants. The overall assessment of groundwater quality shows that about 47% of water sampled varies between average quality and very poor quality for consumption. This poor quality is mainly due to presence of nitrates in water, whose content sometimes exceeds the limit authorized by [1]. From a bacteriological point of view, germs of faecal origin such as Total Coliforms, Escherichia Coli and Faecal Coliforms contaminate all groundwater points sampled. They are of poor quality and unfit for human consumption without prior treatment. We also evaluated the quality of water used for irrigation using 6 parameters. The results show that all of our water points are suitable for irrigation, according to the values of CSR and Kelly ratio. The same is true for the permeability index, which shows that all samples fall into class I and II type to indicate their suitability for irrigation purposes. According to [2] all waters are excellent quality for agriculture; and for Richard diagram, 89.5% of waters are generally suitable for irrigation and 10% are generally not suitable for irrigation without prior dilution with low salinity water.

Comparative Analysis of Groundwater Quality Index for Bhavani River Basin Using Remote Sensing and Statistical Analysis

This research was conducted to examine the drinking (WQI1) and irrigation (WQI2) water quality for the Bhavani river basin using statistical methodologies. The study area geographically covers up to 4207 km2. For evaluating the Water Quality Index (WQI), fourteen groundwater parameters were employed and the data was gathered for two decades (1972–1990 &amp; 2010–2019). The groundwater parameters include TDS, pH, EC, TH, Ca2+, Mg2+, Na+, K+, CO3 2-, HCO3 - , NO3 - , Cl- , F- and SO4 2-. The weightage arithmetic approach was utilized to compute the WQI1 and all the parameters were spatially represented using Arc GIS 10.3 software. To compute the WQI2, the Sodium Absorption Ratio (SAR), Sodium Percentage (%Na), Residual Sodium Carbonate (RSC), Magnesium Hazard Ratio (MHR), Kelly's Ratio (KR), Permeability Index (PI) and Potential Salinity (PI) are employed. The hydro-geochemical features are statistically examined using the Piper trilinear diagram, Gibbs plot, correlation matrix and PCA biplot. The study results suggest that irrigation-and drinking-water quality is worsening from 2% to 44% of the studied region. Statistical analysis also yields satisfactory findings for both decades. According to the geochemical study, the anion and cation ranking for the 1972 decade is Mg2+&gt; Ca+&gt; Na+&gt; K+=Cl- &gt;HCO3 - -&gt;CO3 2-&gt;SO4 2-, while the ranking for the 2019 decade is Na+&gt; Mg2+&gt; Ca+&gt; K+=HCO3 - &gt;Cl- &gt;SO4 2-&gt;CO3 2-&gt;F- . The research indicates viable locations for drinking and irrigation reasons, while the low groundwater quality areas need effective treatment procedures before groundwater utilization. KEYWORDS: Groundwater, Hydro-geochemistry, Remote sensing, Statistical analysis, Water quality index.

Suitability of urban river water for irrigation: the case of the Houet river in Burkina Faso

This study focused on the suitability of using an urban river for the irrigation of vegetable crops. The relevant urban river is Houet river located in the city of Bobo-Dioulasso (Burkina Faso) receives wastewater released by a wastewater treatment and purification unit (WWTP). To do this, a diagnosis of the functioning of WWTP and an assessment of the quality of the effluents released in the river were indeed carried out. The WWTP treats wastewater from industries, households and the percolating water from the treatment of the city's sewage sludge. Water released by the WWTP has a poor physico-chemical quality and high microbiological pollution. The urban river water suitability for irrigation was carried out by taking 8 water samples from the river sections at upstream and downstream parts of the WWTP junction. The physico-chemical (pH, EC, STD, Ca2+ , Mg2+ , K+ , Na+ , Cl-, HCO3- , PO43- , NO2- , NO3- , NH4+ ), microbiological (total coliform, fecal coliform, Escherichia coli and fecal Streptococci), trace metallic elements (Ni, Cr, Zn, Cu, Al, Fe and Mn) and indices such as sodium adsorption rate (SAR), percentage of soluble sodium (%Na), permeability index (PI), magnesium adsorption ratio (RAM) and Kelly ratio (RK) were analyzed and the results compared with WHO, FAO and USSL guidelines for irrigation water. The results show that the physico-chemical parameters are in line with the WHO and FAO standards for irrigation. However, the river water is reported to have medium salinity with a slight to moderate degree of restriction for EC and STD. The concentrations of ammonium (NH4+), manganese (Mn) and nickel (Ni) in the river’s water have values above standard reference for irrigation water. This suggests (i) overuse of nitrogenous fertilizers, (ii) industrial and anthropogenic discharges directly into the river, (iii) and an incomplete treatment process of water released by the WWTP. The presence of Total Coliforms, Fecal Coliforms, Escherichia coli and Fecal Streptococci at levels of around 104 to 109 CFU/100ml, above the FAO standard (2000 CFU/100ml), indicate that the river water is probably contaminated by viruses, parasites and other pathogenic bacteria of fecal origin. Houet river water is in excellent range for irrigation according to Wilcox diagram and in the C2 S1 range of medium to good quality according to the Riverside diagram. The SAR, %Na, PI, RAM and RK indices showed that the infiltration problem issue of the river water on irrigated soils is low before its junction with the WWTP and moderate after its junction. Overall, this river water is suitable for irrigation, but the presence of bacteria, ammonium and trace metallic elements require for the regional water and agricultural authorities to (i) pay particular attention to human activities in the vicinity of the river, (ii) improve the efficiency of the wastewater treatment process at the WWTP and (iii) more strictly control fertilizers’ uses by market gardeners. This will make it possible to preserve the quality of the river’ water for the irrigation of 175 hectares of market gardens products (lettuce, parsley, pepper, mint…) using a commercial urban outland to feed an urban population estimated of one million people.

Irrigation suitability, health risk assessment and source apportionment of heavy metals in surface water used for irrigation near marble industry in Malakand, Pakistan.

Water is a vital, finite resource whose quantity and quality are deteriorating as the world population increases. The current study aims to investigate the concentration of heavy metals (HM) in surface water for irrigation purposes with associated human health risks and pollution sources near the marble industry in Malakand, Pakistan. Twenty-seven water samples were randomly collected and analyzed for HM concentration by inductively coupled plasma‒optical emission spectrometry (ICP‒OES). pH, electrical conductivity (EC), total dissolved solids (TDS), biological oxygen demand (BOD), and chemical oxygen demand (COD) were measured using standard methods of American Public Health Association (APHA). Irrigation suitability was assessed using specific water quality parameters. The associated health risks from ingestion and dermal exposure to heavy metals were calculated by USEPA health risk indices. Pollution sources and spatial distribution mapping were studied using compositional data analysis (CoDa) and the application of a geographic information system (GIS) to understand the changing behavior of heavy metals in surface waters. The concentrations of BOD (89%), COD (89%), Al (89%), Ca (89%), Cr (56%), Cu (78%), Fe (56%), K (34%) Mg (23%), Mn (56%), Na (89%), Ni (56%), P (89%), and Zn (11%) exceeded the safety limits of National Environmental Quality standards (NEQs) of Pakistan. The results of Kelly's ratio (KR) classified surface water as unsuitable for irrigation. The average daily doses (ADD, mg/kg/day) for Al, Cu, Cr, Fe, Mn, Ni, and Zn were higher in children than in adults. The hazard index (HI) for children and adults was above the threshold (HI > 1), indicating a significant risk of non-carcinogenic toxicity. The carcinogenic risk values for Cr and Ni were above the USEPA limit (1 × 10-6 to 1 × 10-4), suggesting a potential carcinogenic risk for the target population. Principal component analysis (PCA), biplot (CLR), and the CoDa-dendrogram allowed for the identification of elemental associations, and their potential source was anthropogenic rather than natural in origin. Regular monitoring and phytoremediation strategies are proposed to safeguard crops and human health.

Representative map analysis and assessment of groundwater quality for agricultural uses in Northwest of Khanaqeen, Diyala, Iraq

Hydro-chemical study of groundwater is considered as one of the most significant tools to evaluate its suitability for irrigation uses. The samples of groundwater were collected from eighteen deep wells in Khanaqeen District. A number of physicochemical parameters were analysed and interpreted with some irrigation indexes including: Sodium Adsorption Ratio SAR, Sodium Percent SP, Kelly Ratio KR, Permeability PI, Magnesium Hazard Ratio (MH %) and Residual Sodium Carbonate RSC. The parameters showed that electrical conductivity values ranged between (559-1985) micromhos/cm, TDS values were (233-1330) mg/l, SAR values varies from (2.63-19.30), and Na % values varied between (5.66-56.89). Also, it was observed that the most of groundwater samples are suitable for irrigation.

Impact of rock-water interaction on hydrogeochemical characteristics of groundwater: Using multivariate statistical, water quality index and irrigation indices of chachro sub-district, thar desert, sindh, Pakistan

Twenty-six groundwater samples from the dug well aquifer were collected during April 2021 from the Chachro sub-district, Sindh, Pakistan to know the hydrogeochemical characteristics and groundwater quality for domestic and agricultural purpose. Multivariate statistical, Chloro alkaline indices result and scatter plots confirm the ion-exchange process in the study region. The Gibbs diagram indicated that rock weathering and evaporation were significant processes that control groundwater chemistry. Piper and Chada's diagram suggested that groundwater was Na+, K+, Cl−, SO4−2 type and suggested that alkali exceeds alkaline earth metals and strong acidic exceeds weak acidic anions. PCA and correlation coefficient reveal that TDS, EC, Mg+2, Na+, Cl−, SO4−2 were positively correlated and similar is confirmed through HCA. The statistical results reveal the dominant decreasing order amongst the cations Na+>Ca+2>Mg+2>K+ and in anions, Cl− > HCO3>SO4. Based on the DWQI, 50% were unsuitable for drinking. Wilcox and USSLH diagram reveal that most samples clustered in very high salinity and very high sodium water type were not suitable for agriculture use. Sodium absorption ratio (SAR), Kelly's ratio (KR) and Sodium percentage Na% reveal that most groundwater samples were unfit for agriculture use. However, Residual sodium carbonate (RSC) and Results of permeability index (PI) were suitable for irrigation purposes.

Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques.

Groundwater is the main source to answer the irrigation supply in several arid and semi-arid areas. In the present work, groundwater quality for irrigation purposes in the arid region of Menzel Habib (Tunisia) for thirty-six groundwater samples is assessed considering the application of different conventional water quality indicators, particularly, electrical conductivity (EC), sodium absorption ratio (SAR), soluble sodium percentage (SSP), magnesium adsorption ratio (MAR), Kelly ratio (KR), and permeability index (PI). The results obtained indicate a variability for EC: 3.06 to 14.98 mS.cm-1; SAR: 4.08 to 19.30; SSP: 35.78 to 71.53%; MAR: 34.19 to 56.01; PI: 38.47 to 72.74; and KR: 0.56 to 2.47. These results suggest that groundwater from Menzel Habib aquifer system is classified between excellent to unsuitable according to the applied water quality indices. Furthermore, the groundwater samples are also plotted in the Richards diagram classification system, based on the relation between SAR and EC, suggesting that almost groundwater samples present a harmful quality. Moreover, fuzzy logic model has been proposed and created to assess groundwater quality for irrigation. The membership functions are constructed for six significant parameters such as EC, SAR, SSP, MAR, KR, and PI and the rules are, then, fired to get a simple Fuzzy Irrigation Water Quality Index (FIWQI). The obtained groundwater quality results suggest that 3% of the samples from Menzel Habib region are considered as "good" for irrigation, 3% are classified as "good to permissible", 33% with a "permissible" quality, 36% "permissible to unsuitable", while 25% of groundwater present an "unsuitable" quality. Thus, the use of fuzzy logic techniques has more reliable and robust results by overcoming the uncertainties in the decision-making attributed to the conventional methods by the creation of new classes (excellent to good, good to permissible, and permissible to unsuitable) in addition to the classes proposed by Richards diagram classification (excellent, good, permissible, and unsuitable) to assess the groundwater quality suitability for irrigation purposes.