Statistical and machine learning analysis for the application of microbially induced carbonate precipitation as a physical barrier to control seawater intrusion-Reference-Cited by-同舟云学术

Statistical and machine learning analysis for the application of microbially induced carbonate precipitation as a physical barrier to control seawater intrusion

Published:2024-04 Issue: Volume:263 Page:104337
ISSN:0169-7722
Container-title:Journal of Contaminant Hydrology
language:en
Short-container-title:Journal of Contaminant Hydrology

Author:

Konstantinou Charalampos,Wang Yuze

Publisher

Elsevier BV

Reference119 articles.

1. A new physical barrier system for seawater intrusion control;Abdoulhalik;J. Hydrol.,2017

2. The effects of different sources of calcium in improvement of soils by microbially induced calcite precipitation (MICP);Akoğuz;Sigma J. Eng. Nat. Sci.,2019

3. Effect of chemical treatment used in MICP on engineering properties of cemented soils;Al Qabany;Geotechnique,2013

4. Reductions in hydraulic conductivity of sands caused by Microbially induced calcium carbonate precipitation;Baek;J. Geotech. Geoenviron. Eng.,2024

5. Evaluation of macroscopic porosity-permeability relationships in heterogeneous mineral dissolution and precipitation scenarios;Beckingham;Water Resour. Res.,2017

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1. A generalized machine learning approach for cost-effective monitoring of irrigation suitability: A demonstration case in El Fahs aquifer (Tunisia);Groundwater for Sustainable Development;2024-11

2. A Comprehensive Optimization Study of Microbially Induced Carbonate Precipitation for Soil Strength Enhancement: Impact of Biochemical and Environmental Factors;Journal of Geotechnical and Geoenvironmental Engineering;2024-10

3. Impact of flow-direction and gravitational settling on microbially-induced calcium carbonate precipitation (MICP) in rock fractures;Bulletin of Engineering Geology and the Environment;2024-06-03