Assessing groundwater quality and its sustainability in Joypurhat district of Bangladesh using GIS and multivariate statistical approaches

Islam, Abu Reza Md. Towfiqul; Shen, Suhung; Haque, Muhammed Atikul; Bodrud-Doza, Md.; Maw, K. W.; Habib, Md. Ahosan

doi:10.1007/s10668-017-9971-3

Cited by 110 publications

(43 citation statements)

References 41 publications

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“…In other areas, sulfate concentrations decreased while concentrations of K + and Mg 2+ increased, as shown in Figure 6b,d,h. This reveals that the significant contribution of magnesium and potassium is due to the interactions with the underlying basaltic rock [17,94], and by the dissolution and weathering of silicate minerals, such as potassium, feldspar minerals, and clays [9,24,95].…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 98%

“…However, it is a challenge to evaluate the complex, highly dimensional groundwater hydrogeochemical datasets. Multivariate statistical approaches, such as principal component analysis (PCA) and K-means clustering are robust tools for groundwater resources management [17][18][19][20][21]. They have been successfully used to define and understand the hydrogeochemical processes that dominate groundwater quality and identify pollution sources [22,23].…”

Section: Introductionmentioning

confidence: 99%

“…K-means clustering is a powerful technique for discovery internal relationships and different characteristics of objects [26]. The K-means clustering algorithm partitions a set of objects into groups, where similar objects belong to unique clusters [17,22,24]. A water quality index (WQI) is also an efficient tool for identifying water quality and its suitability for a particular use [17,24,27].…”

Section: Introductionmentioning

confidence: 99%

“…The K-means clustering algorithm partitions a set of objects into groups, where similar objects belong to unique clusters [17,22,24]. A water quality index (WQI) is also an efficient tool for identifying water quality and its suitability for a particular use [17,24,27]. Moreover, Piper and Stiff diagrams and ion relation scatter diagrams are standard methods to study geochemical data and analyze water-rock interactions, respectively [28,29].…”

Section: Introductionmentioning

confidence: 99%

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Identification of the Hydrogeochemical Processes and Assessment of Groundwater Quality, Using Multivariate Statistical Approaches and Water Quality Index in a Wastewater Irrigated Region

Celestino

Ramos-Leal

Cruz

et al. 2019

Water

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Groundwater quality and availability are essential for human consumption and social and economic activities in arid and semiarid regions. Many developing countries use wastewater for irrigation, which has in most cases led to groundwater pollution. The Mezquital Valley, a semiarid region in central Mexico, is the largest agricultural irrigation region in the world, and it has relied on wastewater from Mexico City for over 100 years. Limited research has been conducted on the impact of irrigation practices on groundwater quality on the Mezquital Valley. In this study, 31 drinking water wells were sampled. Groundwater quality was determined using the water quality index (WQI) for drinking purposes. The hydrogeochemical process and the spatial variability of groundwater quality were analyzed using principal component analysis (PCA) and K-means clustering multivariate geostatistical tools. This study highlights the value of combining various approaches, such as multivariate geostatistical methods and WQI, for the identification of hydrogeochemical processes in the evolution of groundwater in a wastewater irrigated region. The PCA results revealed that salinization and pollution (wastewater irrigation and fertilizers) followed by geogenic sources (dissolution of carbonates) have a significant effect on groundwater quality. Groundwater quality evolution was grouped into cluster 1 and cluster 2, which were classified as unsuitable (low quality) and suitable (acceptable quality) for drinking purposes, respectively. Cluster 1 is located in wastewater irrigated zones, urban areas, and the surroundings of the Tula River. Cluster 2 locations are found in recharge zones, rural settlements, and seasonal agricultural fields. The results of this study strongly suggest that water management strategies that include a groundwater monitoring plan, as well as research-based wastewater irrigation regulations, in the Mezquital Valley are warranted.

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Section: Principal Component Analysis (Pca)mentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Identification of the Hydrogeochemical Processes and Assessment of Groundwater Quality, Using Multivariate Statistical Approaches and Water Quality Index in a Wastewater Irrigated Region

Celestino

Ramos-Leal

Cruz

et al. 2019

Water

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show abstract

“…Groundwater interaction with aquifer rocks signi cantly affects the groundwater chemistry, and this mechanism varies with season and place (Kumar et al 2014;Ahmed et al 2018). Different geochemical facies also foremost the chemical features of groundwater and well recognized by many researchers i.e., Park et al (2005); Naik et al (2009); Rajendiran et al (2012); Xiao et al (2012); Sivasubramanian et al (2013); Kumar et al (2014); Bhuiyan et al (2016); and Islam et al (2017cIslam et al ( , 2018. Some studies in Bangladesh (e.g., Bhuiyan et al 2010;Mirza et al 2012;Islam et al 2016Islam et al , 2017aAhmed et al 2018) have been carried out, exclusively in the coastal zone where salinity is a big problem.…”

Section: Introductionmentioning

confidence: 97%

Hydro-geochemical evaluation of groundwater for irrigation in the Ganges river basin areas of Bangladesh

Islam

Mostafa

2021

Preprint

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Groundwater is a vital source of irrigation water, and it provides over 80% of the irrigated water supply in Bangladesh. The study aimed to assess the status of irrigation water of the Ganges river basin areas in the middle-west part of Bangladesh through the hydrogeochemical characterization and classification of groundwater. The study parameters were pH, EC, TDS, Ca2+, Mg2+, total hardness, Na+, K+, B, Cl−, HCO3 −, SO 42−, NO3 −, and PO43− along with irrigation water quality index (IWQindex), Na%, soluble sodium percentage, sodium adsorption ratio, residual sodium bicarbonate, magnesium adsorption ratio, permeability index, and Kelley’s ratio. The results showed that most of the water samples were acidic in the pre-monsoon and alkaline in the post-monsoon seasons, and the water type was Ca-HCO3. The significant geochemical process in the area determined was calcite and dolomite mineral dissolution, and there was no active cation exchange, and silicate weathering occurred. The statistical analyses showed that both the geogenic and anthropogenic sources were controlling the chemistry of the groundwater aquifers. Concerning irrigation water quality, the results revealed that all the quality parameters and IWQindex (32.04 to 45.39) were within the safety ranges, except for the EC and total hardness. The study results would be useful for future groundwater monitoring and management of the Ganges basin areas of Bangladesh part.

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Comparison of classical and developed indexing methods for assessing the groundwater suitability for irrigation

Islam

Mostafa

2022

J of Sust Agri & Env

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Introduction: Several water quality indices exist to evaluate irrigation water quality (IWQ), but they have some limitations. This study attempted to develop a new Overall Irrigation Water Quality Index (Overall IWQIndex) using a rational subindex that is flexible enough and updated to signify irrigation water suitability. It considered the maximum verified desirable and permissible value of parameters, including the hazard class, a modified rating system of parameters in each hazard class, and diversified water parameters that have affected the soil and plants.Materials and Methods: A total of 40 calcite-type groundwater samples were analyzed to evaluate the IWQ using the proposed Overall IWQIndex, some IWQ parameters, and different diagram-based statistical methods. Results:The study results were correlated with each other critically, and finally, the suitability for IWQ was determined. The results revealed that the samples of the postmonsoon and premonsoon felt under the 'good' and 'excellent' categories, respectively. Conclusion:The study developed an indexing model that is easy to compute, rationalize and deliver accurate information on the suitability of irrigation water.

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Assessing groundwater quality and its sustainability in Joypurhat district of Bangladesh using GIS and multivariate statistical approaches

Cited by 110 publications

References 41 publications

Identification of the Hydrogeochemical Processes and Assessment of Groundwater Quality, Using Multivariate Statistical Approaches and Water Quality Index in a Wastewater Irrigated Region

Identification of the Hydrogeochemical Processes and Assessment of Groundwater Quality, Using Multivariate Statistical Approaches and Water Quality Index in a Wastewater Irrigated Region

Hydro-geochemical evaluation of groundwater for irrigation in the Ganges river basin areas of Bangladesh

Comparison of classical and developed indexing methods for assessing the groundwater suitability for irrigation

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