Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis

Fooladi, Mahmood; Nikoo, Mohammad Reza; Mirghafari, Rasoul; Madramootoo, Chandra A.; Al-Rawas, Ghazi; Nazari, Rouzbeh

doi:10.1016/j.jenvman.2024.121259

Journal of Environmental Management

2024

DOI: 10.1016/j.jenvman.2024.121259

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Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis

Mahmood Fooladi,

Mohammad Reza Nikoo,

Rasoul Mirghafari

et al.

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Cited by 6 publications

References 72 publications

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A pore network modeling approach to bridge void ratio‐dependent soil water retention and unsaturated hydraulic conductivity curves

Mirghafari,

Sajjadian,

Nikooee

et al. 2024

Engineering Reports

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In geotechnical engineering, understanding the relationship between soil permeability and deformation is essential, particularly for applications like earth dams, where compaction‐induced permeability reduction is crucial for performance optimization. In unsaturated soils, soil moisture content significantly impacts hydraulic conductivity. Traditionally, changes in unsaturated hydraulic conductivity have been linked to soil void ratios. However, a pore network modeling perspective reveals the significance of structural parameters, such as pore and throat size distribution and pore coordination number. This study introduces a pore network model to estimate unsaturated hydraulic conductivity based on void ratio‐dependent soil‐water retention curves. It examines how soil deformation at varying stress levels affects structural parameters and the water phase continuity. The model shows strong potential in predicting unsaturated hydraulic conductivity across different stress levels, aligning well with experimental data and established equations. Notably, the aspect ratio and coordination number parameters are most affected by stress levels. The study also presents relationships to describe changes in pore network structural parameters with soil void ratio, which can be used to predict soil‐water retention curves and unsaturated hydraulic conductivity at various stress levels.

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A pore network modeling approach to bridge void ratio‐dependent soil water retention and unsaturated hydraulic conductivity curves

Mirghafari,

Sajjadian,

Nikooee

et al. 2024

Engineering Reports

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A multi‐dimensional evaluation system for e‐government development: Based on complex systems theory

Peng,

Wang

et al. 2024

E J Info Sys Dev Countries

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Governments are increasingly placing an emphasis on the long‐term growth of e‐government development. However, the evaluation of e‐government development is still in its infancy. The current research proposes a multi‐dimensional evaluation system of e‐government development based on Complex Systems Theory. Accordingly, we extracted three dimensions with 17 criteria and collected actual data of e‐government development from 17 cities in Shandong, China as an example. The Analytic Hierarchy Process‐Entropy Method (AHP‐EM) was employed to correctly and objectively evaluate the performance of e‐government development. Furthermore, we analyze the current situations and deficiencies of e‐government development in each city of Shandong, China and offer recommendations for sustainable e‐government development using geographical distribution maps and radar graph.

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Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils

Proshad,

Asharaful Abedin Asha,

Tan

et al. 2025

Journal of Hazardous Materials

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Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis

Cited by 6 publications

References 72 publications

A pore network modeling approach to bridge void ratio‐dependent soil water retention and unsaturated hydraulic conductivity curves

A pore network modeling approach to bridge void ratio‐dependent soil water retention and unsaturated hydraulic conductivity curves

A multi‐dimensional evaluation system for e‐government development: Based on complex systems theory

Machine learning models with innovative outlier detection techniques for predicting heavy metal contamination in soils

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