Evaluation of hydrochemical properties and groundwater suitability for irrigation uses in southwestern zones of Jashore, Bangladesh

Ahmed, Mohammad Tofayal; Hasan, Yeasir; Monir, Minhaj Uddin; Samad, Abdus; Rahman, M. Tauhid Ur; Rifat, Shamiul Islam; Islam, Naim; Khan, Abu Shamim; Biswas, Pradip Kumar; Jamil, Asma

doi:10.1016/j.gsd.2020.100441

Cited by 29 publications

(15 citation statements)

References 17 publications

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“…Bottles were labeled with a serial number with the use of a permanent marker, then kept in a cooler for transportation. Following transportation, groundwater samples were submitted to appropriate sample preparation protocols for instrumental analysis [ 1 , 6 , 7 ]. Ultraviolet spectrophotometry (UV) and atomic absorption spectrophotometry (Varian AAS, 680FS were carried out on prepared samples for identification of major anions [(SO 4 2− ), (NO 3 − ), NO 3 N] and major cations [(Na), (K 1+ ), (Mg 2+ ), (Ca 2+ )], respectively.…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

“…In the laboratory, it has storied at 4°C. Data source location Abhaynagar, Keshabpur, Chaugachha, Jhikargachha, Bagherpara, Manirampur, Jessore Sadar and Sharsha (Jashore, Bangladesh) Data accessibility Data are included in this article Related research article [1] M.T. Ahmed, M.Y.…”

Section: Specification Tablementioning

confidence: 99%

“…Irrigation water quality index (IWQI) [ 1 , 12 , 13 ] and single index were determined by Eqs. (1) – (3) ( Fig.…”

Section: Statistical Data Analysis Of Groundwater Samplesmentioning

confidence: 99%

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Dataset on the evaluation of hydrochemical properties and groundwater suitability for irrigation purposes: South-western part of Jashore, Bangladesh

Hasan¹,

Khan²,

Islam³

et al. 2020

Data in Brief

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The data herein presented concerns the article entitled “Evaluation of hydrochemical properties and groundwater suitability for irrigation uses in southwestern zones of Jashore, Bangladesh”. Data was collected during 2018-2019 in the southwestern zones of Jashore, Bangladesh. One hundred groundwater samples (boreholes and tube wells) were collected to evaluate groundwater quality, using the irrigation water quality index (IWQI) as an indicator. Fourteen hydrochemical parameters (pH, EC, TDS, NO 3 N, pH, EC, Ca 2+ , Mg 2+ , Na + , K + , Cl −, HCO 3 − , SO 4 2− and Fe 2+ ) were used to calculate irrigation water quality indices (KI, Na%, PI, SAR, SSP, MH, and TH). Statistical methods such as Viper diagrams, USSL, and Wilcox diagrams were used to visualize datasets. The attained data can be used to assess the hydrogeochemistry of the sampled sites and groundwater quality for irrigation purposes. The findings of this work can be used in the optimization of management and treatment procedures and in the implementation of sustainable water development.

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Section: Experimental Design Materials and Methodsmentioning

confidence: 99%

Section: Specification Tablementioning

confidence: 99%

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Dataset on the evaluation of hydrochemical properties and groundwater suitability for irrigation purposes: South-western part of Jashore, Bangladesh

Hasan¹,

Khan²,

Islam³

et al. 2020

Data in Brief

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“…A negative correlation coefficient expresses that the measurable factors develop in inverse ways. In this investigation, Number Cruncher Statistical System (NCSS) statistical software package was used to calculate the examination of correlation factors [24,25].…”

Section: Descriptive Statistics Of Chemical Components In Groundwatermentioning

confidence: 99%

Groundwater chemistry, pollution and health risk assessment for nitrogen compounds. A case study in a suburban region of Romania

Vasilache¹,

Mandoc²,

Diacu³

et al. 2022

RJEEC

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As groundwater is used as a source of drinking water, monitoring its quality is essential due to possible adverse effects on human health. Nitrogen compounds (nitrates, nitrites, ammonia) within certain concentration limits are natural components of the nitrogen cycle. Due to anthropogenic activities, high concentrations of nitrogen compounds are released into groundwater. The aim of this study was to evaluate the chemistry of groundwater in a suburban area in northeastern Romania, the sources of pollution with nitrogen compounds (nitrates, nitrites, ammonium), and the non-carcinogenic risk to human health associated with consumption in different groups age (women, men, and children) in the investigated region. The results showed that the concentration of nitrogen compounds varies from 5.12 to 98.3 mg/L for nitrates, from 0.008 to 85.2 mg/L for ammonium, and from 0.001 to 1.12 mg/L for nitrites. The maximum admissible concentrations have been exceeding 25%, 40% and respectively 10% of the total analyzed samples Bivariate graphs and Principal Component Analysis (PCA) were used to identify potential sources of nitrate, nitrites, and ammonium pollution of groundwater in the study area. The non-carcinogenic risk assessment for water consumption showed a hazard index (HItotal) for nitrogen compounds in groundwater in the investigated region, which ranged from 0.037 to 2.856 for men, between 0.054 and 3.427 for women, respectively between 0.080 and 6.145, for children. Spatial distribution maps using the Inverse Distance Weighting technique presented the geographical areas with the probability of groundwater contamination with nitrate, nitrite, and ammonium and the areas that pose a risk to human health by consuming groundwater in the study area for the three groups: men, women and children.

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“…The eight indices, including the IWQI, Na%, SAR, SSP, PS, KI, PI, and RSC, have been utilized to categorize the appropriateness of water resources for irrigation in which the solutes concentration in the soil may lead to change in the soil permeability and crop productivity [24,[31][32][33][34][35]. Several investigations have been undertaken to assess water quality for agricultural utilization through the integration of IWQIs and geographic information systems (GIS) technology, which enables the separation of quality zones for irrigation via creating thematic maps of groundwater quality [36][37][38].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Groundwater Quality for Irrigation in Deep Aquifers Using Multiple Graphical and Indexing Approaches Supported with Machine Learning Models and GIS Techniques, Souf Valley, Algeria

Eid

Elbagory

Tamma

et al. 2023

Water

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Irrigation has made a significant contribution to supporting the population’s expanding food demands, as well as promoting economic growth in irrigated regions. The current investigation was carried out in order to estimate the quality of the groundwater for agricultural viability in the Algerian Desert using various water quality indices and geographic information systems (GIS). In addition, support vector machine regression (SVMR) was applied to forecast eight irrigation water quality indices (IWQIs), such as the irrigation water quality index (IWQI), sodium adsorption ratio (SAR), sodium percentage (Na%), soluble sodium percentage (SSP), potential salinity (PS), Kelly index (KI), permeability index (PI), potential salinity (PS), permeability index (PI), and residual sodium carbonate (RSC). Several physicochemical variables, such as temperature (T°), hydrogen ion concentration (pH), total dissolved solids (TDS), electrical conductivity (EC), K+, Na2+, Mg2+, Ca2+, Cl−, SO42−, HCO3−, CO32−, and NO3−, were measured from 45 deep groundwater wells. The hydrochemical facies of the groundwater resources were Ca–Mg–Cl/SO4 and Na–Cl−, which revealed evaporation, reverse ion exchange, and rock–water interaction processes. The IWQI, Na%, SAR, SSP, KI, PS, PI, and RSC showed mean values of 50.78, 43.07, 4.85, 41.78, 0.74, 29.60, 45.65, and −20.44, respectively. For instance, the IWQI for the obtained results indicated that the groundwater samples were categorized into high restriction to moderate restriction for irrigation purposes, which can only be used for plants that are highly salt tolerant. The SVMR model produced robust estimates for eight IWQIs in calibration (Cal.), with R2 values varying between 0.90 and 0.97. Furthermore, in validation (Val.), R2 values between 0.88 and 0.95 were achieved using the SVMR model, which produced reliable estimates for eight IWQIs. These findings support the feasibility of using IWQIs and SVMR models for the evaluation and management of the groundwater of complex terminal aquifers for irrigation. Finally, the combination of IWQIs, SVMR, and GIS was effective and an applicable technique for interpreting and forecasting the irrigation water quality used in both arid and semi-arid regions.

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Evaluation of hydrochemical properties and groundwater suitability for irrigation uses in southwestern zones of Jashore, Bangladesh

Cited by 29 publications

References 17 publications

Dataset on the evaluation of hydrochemical properties and groundwater suitability for irrigation purposes: South-western part of Jashore, Bangladesh

Dataset on the evaluation of hydrochemical properties and groundwater suitability for irrigation purposes: South-western part of Jashore, Bangladesh

Groundwater chemistry, pollution and health risk assessment for nitrogen compounds. A case study in a suburban region of Romania

Evaluation of Groundwater Quality for Irrigation in Deep Aquifers Using Multiple Graphical and Indexing Approaches Supported with Machine Learning Models and GIS Techniques, Souf Valley, Algeria

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