Lim, Seung Ji Lee, Kyung-Jin Nam, Hansung Kim, Sang Hyun Kim, Eun-ju Lee, Seunghak Chung, Jaeshik 2024-08-01T05:30:08Z 2024-08-01T05:30:08Z 2024-08-01 2024-10 0165-9936 https://pubs.kist.re.kr/handle/201004/150326 The anomalous (i.e., non-Fickian) transport characteristics (e.g., early arrival/long tailing and other nonGaussian plume properties) make it challenging to apply classical transport theories to the transport and retention of microplastics in soil due to their heterogeneity. This overview attempts 1) to delineate the previous studies on the transport of colloids and MPs, which used the recently developed analytical devices (e.g., microfluidics and micro-CT) and process-based (e.g., lattice Boltzmann method (LBM) and pore network modeling (PNM)) or data-driven models (e.g., machine learning (ML) techniques) and 2) to provide future directions for bridging the pore- and continuum-scale properties. Although the LBM and PNM offer significant advantages in depicting particle transport at the pore scale, their employment at larger scales is hindered by computational demands. Nonetheless, applying these methods to generate datasets for ML techniques is anticipated to provide a robust tool for an accurate and rapid continuum-scale microplastics transport model. English Elsevier BV Progress and future directions bridging microplastics transport from pore to continuum scale: A comprehensive review for experimental and modeling approaches Article 10.1016/j.trac.2024.117851 1 TrAC - Trends in Analytical Chemistry, v.179 TrAC - Trends in Analytical Chemistry 179 Y scie scopus 001274684600001 2-s2.0-85198944802 Chemistry, Analytical Chemistry Review SATURATED POROUS-MEDIA NATURAL ORGANIC-MATTER ZEROVALENT IRON NANOPARTICLES WALLED CARBON NANOTUBES COLLOID TRANSPORT SILVER NANOPARTICLES PARTICLE-SIZE IONIC-STRENGTH ATTACHMENT EFFICIENCY DEPOSITION BEHAVIOR Reactive transport Microfluidics Micro-CT Pore network modeling Machine learning