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

Mia, Md Yousuf; Islam, Abu Reza Md. Towfiqul; Jannat, Jannatun Nahar; Jion, Most. Mastura Munia Farjana; Sarker, Aniruddha; Tokatlı, Cem; Siddique, Md. Abu Bakar; Ibrahim, Sobhy M.; Senapathi, Venkatramanan

doi:10.1016/j.envres.2023.115688

Cited by 11 publications

(1 citation statement)

References 65 publications

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“…Various methods and approaches have been adopted to interpret and understand the complex information of the quality of irrigation water. The indices like Electrical Conductivity (EC), Sodium Absorption Ratio (SAR), Percentage of Sodium (Na%), Permeability index (PI), Magnesium Hazard (MH), Residual Sodium Carbonate (RSC), Soluble Sodium Percentage (SSP), Permeability Index (PI) are the major parameters considered for the evaluation irrigation water quality (Mia et al,2023;Gautam et al 2015). Further, graphical methods such as United States Soil Laboratory (USSL) classification system (Richards, 1954); Wilcox system (Wilcox, 1955) were also used to assess the irrigation water quality.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Synthetic Evaluation based groundwater quality classification for the Irrigation purpose: A case study from Tumkur district, Karnataka, India

Parimalarenganayaki

2023

Preprint

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Sustainability of irrigated agriculture is based on the quality of water resources. Water Quality Indices are used to assess the suitability of irrigation water, however there are certain uncertainties when samples are to be classified near the boundary between two classes. Hence, the objective of the present study is to classify the groundwater for irrigation purpose in Tumkur district, Karnataka, India, using Fuzzy comprehensive evaluation approach for the crisp classification. The methodology of this study includes collection of 104 groundwater samples, assessment of hydrogeochemistry, and classification of groundwater by conventional and Fuzzy-logic technique. Hydrogeochemistry by Piper plot indicates mixed Na-Ca-HCO3 type and Gibbs plot indicates the influence of rock-water interactions. The water classification by conventional irrigation indices such as Electrical Conductivity, Sodium Absorption Ratio, Kelly Index, Percentage Sodium, Residual Sodium Carbonate and Magnesium Hazard showed that 2%, 0%, 86.5%, 40%, 25% (post monsoon) and 4%, 2%, 81%, 38.5%, 4% and 19.2% (pre-monsoon) of groundwater samples were not suitable, respectively. As various indices indicated dissimilar results, an integrated conventional index was evaluated by Fuzzy synthetic evaluation technique based on the Maximum Principle Membership and Fuzzy Class Ratio (FCR) and it showed 3.8% and 0.98% of samples were classified as Not suitable (Nʹ), respectively. However, FCR method was found to be effective in dealing variation in fuzzy boundary conditions and it showed 0.98%, 1.96%, 1.96%, 1.96% samples as not suitable at 5%, 10%, 15% and 20% of degree of variation near class boundaries, respectively. The study affirms that fuzziness in the data near class boundaries, consequently influencing the final classification.

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Section: Introductionmentioning

confidence: 99%

A Fuzzy Synthetic Evaluation based groundwater quality classification for the Irrigation purpose: A case study from Tumkur district, Karnataka, India

Parimalarenganayaki

2023

Preprint

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Quality Assessment in Terms of Agricultural Water Supply and Macro Element Contents in Water of Çorlu Stream (Thrace Region, Türkiye)

Tokatli,

Varol

2023

Springer Proceedings in Earth and Environmental Sciences

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Hydrogeochemical characterization of groundwater and critical assessment of its quality in a coastal basin

Ghosh,

Jha

2023

Environ Dev Sustain

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

Cited by 11 publications

References 65 publications

A Fuzzy Synthetic Evaluation based groundwater quality classification for the Irrigation purpose: A case study from Tumkur district, Karnataka, India

A Fuzzy Synthetic Evaluation based groundwater quality classification for the Irrigation purpose: A case study from Tumkur district, Karnataka, India

Quality Assessment in Terms of Agricultural Water Supply and Macro Element Contents in Water of Çorlu Stream (Thrace Region, Türkiye)

Hydrogeochemical characterization of groundwater and critical assessment of its quality in a coastal basin

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