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The intense development of novel data-driven and hybrid methods for structural health monitoring (SHM) has been demonstrated by field deployments on large-scale systems, including transport, wind energy, and building infrastructure. The actionability of SHM as an essential resource for life-cycle and resilience management is heavily dependent on the advent of low-cost and easily deployable sensors Nonetheless, in optimizing these deployments, a number of open issues remain with respect to the sensing side. These are associated with the type, configuration, and eventual processing of the information acquired from these sensors to deliver continuous behavioral signatures of the monitored structures. This book discusses the latest advances in the field of sensor networks for SHM. The focus lies both in active research on the theoretical foundations of optimally deploying and operating sensor networks and in those technological developments that might designate the next generation of sensing solutions targeted for SHM. The included contributions span the complete SHM information chain, from sensor design to configuration, data interpretation, and triggering of reactive action. The featured papers published in this Special Issue offer an overview of the state of the art and further proceed to introduce novel methods and tools. Particular attention is given to the treatment of uncertainty, which inherently describes the sensed information and the behavior of monitored systems.

probabilistic data-interpretation --- Bayesian model updating --- error-domain model falsification --- iterative asset-management --- practical applicability --- computation time --- swarm-based parallel control (SPC) --- Internet of Things (IoT) --- soil–structure interaction (SSI) --- semi-active control --- adjacent buildings --- Bayesian inference --- model updating --- modal identification --- structural dynamics --- bridges --- sensor placement optimisation --- structural health monitoring --- damage identification --- mutual information --- evolutionary optimisation --- inertial sensor fusion --- instrumented particle --- MEMS --- sediment entrainment --- sensor calibration --- frequency of entrainment --- varying environmental and operational conditions --- damage detection and localization --- Gaussian process regression --- autoregressive with exogenous inputs --- distributed sensor network --- mode shape curvatures --- n/a --- soil-structure interaction (SSI)

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The Special Issue entitled “Modeling of Soil Erosion and Sediment Transport” focuses on the mathematical modeling of soil erosion caused by rainfall and runoff at a basin scale, as well as on the sediment transport in the streams of the basin. In concrete terms, the quantification of these phenomena by means of mathematical modeling and field measurements has been studied. The following mathematical models (software) were used, amongst others: AnnAGNPS, SWAT, SWAT-Twn, TUSLE, WRF-Hydro-Sed, CORINE, LCM-MUSLE, EROSION-3D, HEC-RAS, SRC, WA-ANN. The Special Issue contains 14 articles that can be classified into the following five categories: Category A: “Soil erosion and sediment transport modeling in basins”; Category B: “Inclusion of soil erosion control measures in soil erosion models”; Category C: “Soil erosion and sediment transport modeling in view of reservoir sedimentation”; Category D: “Field measurements of gully erosion”; Category E: “Stream sediment transport modeling”. Most studies presented in the Special Issue were applied to different basins in Europe, America, and Asia, and are the result of the cooperation between universities and/or research centers in different countries and continents, which constitutes an optimistic fact for the international scientific communication.

History of engineering & technology --- terrace --- vegetation --- time-area method --- MUSLE --- soil and water loss --- the Loess Plateau --- bed erosion --- catchment area --- filtration --- sediment accumulation --- sediment bed fluidization --- sediment re-suspension --- soil erosion --- rainfall-runoff --- sediment yield --- AnnAGNPS model --- urbanization --- scenario analysis --- Upper Indus Basin (UIB) --- Tarbela Reservoir --- Besham Qila --- sediment modeling --- uncertainty --- wavelet transform analysis-artificial neural network (WA-ANN) --- sediment rating curve (SRC) --- HEC-RAS --- SWAT --- TUSLE --- sediment transport --- model calibration --- mountainous catchment --- tailings pond --- leaked tailings flow --- dam failure --- impact force --- deposition range --- debris blocking dam --- CORINE erosion model --- ponds --- Brenne --- limnology --- land cover change --- infiltration estimation --- black soil --- residue cover --- model validation --- stream sediment transport --- total load --- sediment concentration --- Yang formula --- fuzzy regression --- fuzzy coefficients --- fuzzy logic --- sediment entrainment --- clogging --- colmation --- numerical modeling --- gully erosion --- seasonality --- precipitation --- statistical modeling --- precipitation intensity --- sediment budget --- rainfall event --- EROSION-3D --- small water reservoir --- SWAT modeling --- land management --- soil conservation stone structures --- WRF-Hydro --- CASC2D-SED --- Goodwin Creek Experimental Watershed --- NLDAS-2 --- calibration

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The Special Issue entitled “Modeling of Soil Erosion and Sediment Transport” focuses on the mathematical modeling of soil erosion caused by rainfall and runoff at a basin scale, as well as on the sediment transport in the streams of the basin. In concrete terms, the quantification of these phenomena by means of mathematical modeling and field measurements has been studied. The following mathematical models (software) were used, amongst others: AnnAGNPS, SWAT, SWAT-Twn, TUSLE, WRF-Hydro-Sed, CORINE, LCM-MUSLE, EROSION-3D, HEC-RAS, SRC, WA-ANN. The Special Issue contains 14 articles that can be classified into the following five categories: Category A: “Soil erosion and sediment transport modeling in basins”; Category B: “Inclusion of soil erosion control measures in soil erosion models”; Category C: “Soil erosion and sediment transport modeling in view of reservoir sedimentation”; Category D: “Field measurements of gully erosion”; Category E: “Stream sediment transport modeling”. Most studies presented in the Special Issue were applied to different basins in Europe, America, and Asia, and are the result of the cooperation between universities and/or research centers in different countries and continents, which constitutes an optimistic fact for the international scientific communication.

History of engineering & technology --- terrace --- vegetation --- time-area method --- MUSLE --- soil and water loss --- the Loess Plateau --- bed erosion --- catchment area --- filtration --- sediment accumulation --- sediment bed fluidization --- sediment re-suspension --- soil erosion --- rainfall-runoff --- sediment yield --- AnnAGNPS model --- urbanization --- scenario analysis --- Upper Indus Basin (UIB) --- Tarbela Reservoir --- Besham Qila --- sediment modeling --- uncertainty --- wavelet transform analysis-artificial neural network (WA-ANN) --- sediment rating curve (SRC) --- HEC-RAS --- SWAT --- TUSLE --- sediment transport --- model calibration --- mountainous catchment --- tailings pond --- leaked tailings flow --- dam failure --- impact force --- deposition range --- debris blocking dam --- CORINE erosion model --- ponds --- Brenne --- limnology --- land cover change --- infiltration estimation --- black soil --- residue cover --- model validation --- stream sediment transport --- total load --- sediment concentration --- Yang formula --- fuzzy regression --- fuzzy coefficients --- fuzzy logic --- sediment entrainment --- clogging --- colmation --- numerical modeling --- gully erosion --- seasonality --- precipitation --- statistical modeling --- precipitation intensity --- sediment budget --- rainfall event --- EROSION-3D --- small water reservoir --- SWAT modeling --- land management --- soil conservation stone structures --- WRF-Hydro --- CASC2D-SED --- Goodwin Creek Experimental Watershed --- NLDAS-2 --- calibration