Global mapping of river sediment bars

Recently, deep learning has been increasingly applied to global mapping of land‐use and land‐cover classes. However, very few studies have addressed the problem of separating lakes from rivers, and to our knowledge, none have addressed the issue of mapping fluvial sediment bars. We present the first global scale inventory of fluvial gravel bars. Our workflow is based on a state‐of‐the‐art fully convolutional neural network which is applied to Sentinel‐2 imagery at a resolution of 10 m. We use Google Earth Engine to access these data for a study site that covers 89% of the Earth's surface. We count 8.9 million gravel bars with an estimated area of 41 000 km2. Crucially, the workflow we present can be executed within a month of highly automated processing and thus allows for global scale, monthly, monitoring of gravel bars and associated rivers

Hierarchical object-based mapping of riverscape units and in-stream mesohabitats using LiDAR and VHR imagery

In this paper, we present a new, semi-automated methodology for mapping hydromorphological indicators of rivers at a regional scale using multisource remote sensing (RS) data. This novel approach is based on the integration of spectral and topographic information within a multilevel, geographic, object-based image analysis (GEOBIA). Different segmentation levels were generated based on the two sources of RS data, namely very-high spatial resolution, near-infrared imagery (VHR) and high-resolution LiDAR topography. At each level, different input object features were tested with Machine Learning classifiers for mapping riverscape units and in-stream mesohabitats. The GEOBIA approach proved to be a powerful tool for analyzing the river system at different levels of detail and for coupling spectral and topographic datasets, allowing for the delineation of the natural fluvial corridor with its primary riverscape units (e.g., water channel, unvegetated sediment bars, riparian densely-vegetated units, etc..) and in-stream mesohabitats with a high level of accuracy, respectively of K=0.91 and K=0.83. This method is flexible and can be adapted to different sources of data, with the potential to be implemented at regional scales in the future. The analyzed dataset, composed of VHR imagery and LiDAR data, is nowadays increasingly available at larger scales, notably through European Member States. At the same time, this methodology provides a tool for monitoring and characterizing the hydromorphological status of river systems continuously along the entire channel network and coherently through time, opening novel and significant perspectives to the river science and management, notably for planning and targeting actions.JRC.H.1-Water Resource

PROCESS BASED CLASSIFICATION OF SEDIMENT CONNECTIVITY AT THE RIVER BASIN SCALE.

Novel modelling approaches allow to trace the fate of sediment contributions from individual river reaches throughout the river network and to assess the resulting sediment connectivity at the basin scale. The derived information is an unprecedented source of information to assess from where and over which times a downstream river reach recruits its sediment. This information links strongly to the reach sensitivity to anthropic disturbance or restoration efforts. In this paper, we demonstrate how to make the complex data-sets resulting from basin scale connectivity models accessible for river basin management applications. We introduce the concept of “connectivity signatures” that epitomizes the timing, magnitude, and quality (grain size) domain of connectivity at the reach scale. We use data driven classification techniques to identify a reduced set of typical connectivity classes. Spatial distribution of connectivity classes reveals that these classes represent specific, functional “connectivity styles” with specific locations and functions for sediment routing in the river network. Results concretize the interpretation of sediment connectivity from an operational perspective and open the way for its application to large river basins

Tracking multiple sediment cascades at the river network scale identifies controls and emerging patterns of sediment connectivity

Sediment connectivity in fluvial networks results from the transfer of sediment between multiple sources and sinks. Connectivity scales differently between all sources and sinks as a function of distance, source grain size and sediment supply, network topology and topography, and hydrologic forcing. In this paper, we address the challenge of quantifying sediment connectivity and its controls at the network scale. We expand the concept of a single, catchment-scale sediment cascade toward representing sediment transport from each source as a suite of individual cascading processes. We implement this approach in the herein presented CAtchment Sediment Connectivity And DElivery (CASCADE) modeling framework. In CASCADE, each sediment cascade establishes connectivity between a specific source and its multiple sinks. From a source perspective, the fate of sediment is controlled by its detachment and downstream transport capacity, resulting in a specific trajectory of transfer and deposition. From a sink perspective, the assemblage of incoming cascades defines provenance, sorting, and magnitude of sediment deliveries. At the network scale, this information reveals emerging patterns of connectivity and the location of bottlenecks, where disconnectivity occurs. In this paper, we apply CASCADE to quantitatively analyze the sediment connectivity of a major river system in SE Asia. The approach provides a screening model that can support analyses of large, poorly monitored river systems. We test the sensitivity of CASCADE to various parameters and identify the distribution of energy between the multiple, simultaneously active sediment cascades as key control behind network sediment connectivity. To conclude, CASCADE enables a quantitative, spatially explicit analysis of network sediment connectivity with potential applications in both river science and management

Emerging adults facing the COVID-19 pandemic: emotion dysregulation, mentalizing, and psychological symptoms

Settled in the context of the COVID-19 pandemic, the present short-term longitudinal study aims to investigate the relation between emotion dysregulation, mentalizing (both certainty and uncertainty about mental states), and psychological symptoms in a sample of 83 emerging adults (M-age = 22.18 years, SD = 4.36) over a continuous period started with COVID-19 spreads. Results display significant positive associations between psychological symptoms and both emotion dysregulation and uncertainty about mental states, while an inverse association with certainty about mental states was found. A moderation model was also performed, showing a significant negative association between emotion dysregulation and psychological symptoms at low levels of uncertainty about mental states. Conversely, a marginally significant positive association occurs at high levels of uncertainty about mental states. In other words, the presence of individual impairments in perceiving one's own/others mind may increase the negative consequences of emotion dysregulation on reported psychological symptoms. To sum up, our findings highlight the importance of considering mentalizing as a possible key factor for the promotion of emerging adults' mental health also in the context of the ongoing COVID-19 pandemic

Quantifying the Impact of Spatiotemporal Resolution on the Interpretation of Fluvial Geomorphic Feature Dynamics From Sentinel 2 Imagery: An Application on a Braided River Reach in Northern Italy

Machine learning algorithms applied on the publicly available Sentinel 2 images (S2) are opening the opportunity to automatically classify and monitor fluvial geomorphic feature (such as sediment bars or water channels) dynamics across scales. However, there are few analyses on the relative importance of S2 spatial versus temporal resolution in the context of geomorphic research. In a dynamic, braided reach of the Sesia River (Northern Italy), we thus analyzed how the inherent uncertainty associated with S2's spatial resolution (10 m pixel size) can impact the significance of the active channel (a combination of sediment and water) delineation, and how the S2's weekly temporal resolution can influence the interpretation of its evolutionary trajectory. A comparison with manually classified images at higher spatial resolutions (Planet: 3 m and orthophoto: 0.3 m) shows that the automatically classified water is ∼20% underestimated whereas sediments are ∼30% overestimated. These classification errors are smaller than the geomorphic changes detected in the 5 years analyzed, so the derived active channel trajectory can be considered robust. The comparison across resolutions also highlights that the yearly Planet‐ and S2‐derived active channel trajectory are analogous and they are both more effective in capturing the river geomorphic response after major flood events than the trajectory derived from sequential multiannual orthophotos. More analyses of this type, across different types of river could give insights on the transferability of the spatial uncertainty boundaries found as well as on the spatial and temporal resolution trade‐off needed for supporting different geomorphic analyses

Accounting for river morphology in the management of red river (vietnam): a numerical modeling approach

During last 15 years, the Red River in northern VietNam has experienced severe river bed degradation along its lower course. The continued decrease of the minimum water levels aggravated water scarcity for agriculture. These outcomes can be attributed to strong in stream sediment mining, major upstream impoundments, climatic and land use changes. The aim of this work is to provide a valuable tool to assess the effects of different reservoir water releases and sediment mining policies on river reach morphology. A 1D mobile bed finite volume numerical model has been set up and preliminary results on the recent 2000-2009 period are presented and discussed. The model features facilitate its integration in optimization algorithms devoted to water management strategies

Tension-Type Headache in Early Adolescents: Exploring the Predictive Role of Anxiety and Alexithymia

Introduction: Primary Headache, including Tension-Type Headache (TTH), represents one of the most common somatic disorders in children and adolescents with a strong impact on quality of life. Several risk factors, as environmental, familiar, and psychological features, including personality traits, are related to the development of Primary Headache. However, studies on specific subgroups of TTH are relatively few in early adolescents. Objectives: Therefore, this cross-sectional pilot study aims at exploring the role of anxiety and alexithymia in early adolescents with and without TTH. Methods: A sample of 70 early adolescents (Mage=14.59, SD=1.85; 71% females) consisting of a clinical group (31 with TTH) enrolled in an Italian Child Neuropsychiatry Clinic and a comparison group (38 without TTH) enrolled in schools, matched on gender and age, completed: 1) Multidimensional Anxiety Scale for Children (MASC) to detect the Total levels of Anxiety, also in their factor of Physical Symptoms, Social Anxiety, Harm Avoidance, and Separation Anxiety; 2) the Toronto Alexithymia Scale (TAS-20) to detect the Total levels of Alexithymia, also in their factor of Difficulty to Identifying and to Describing Feelings and Externally Oriented Thinking. Results: TTH outcome positively correlated with Harm Avoidance (rho=.68, p<.001) and Total Alexithymia (rho=.72, p<.001). In a logistic regression, Harm Avoidance and Total Alexithymia predicted 69% of the variance in TTH outcome (p<.032). Conclusions: This disorder may be a maladaptive strategy to cope with problems and feeling emotions, then early adolescents could be fostered in the acquisition of more adaptive emotion regulation abilities

Multimethod Assessment of Mentalizing and its relations with Somatic Symptoms in Adolescents with Primary Headache

Introduction: Difficulties in mentalizing (i.e., the ability to reflect on self and others’ internal mental states, operationalized as reflective functioning [RF]; Fonagy et al., 2012) have been associated with psychological symptoms (Luyten et al., 2020), including somatic symptoms (Bizzi et al., 2019). Therefore, the assessment of its dimensions may be clinically relevant for young patients with somatic symptoms, as with Primary Headache (PH), representing one of the most common somatic complaints in children and adolescents. Objectives: This study aimed to assess RF with a multi-method approach, exploring its relation with somatic symptoms. Methods: 48 adolescents diagnosed with PH (Mage=14.83, SD=2.81; 67% females) were recruited from an Italian Child Neuropsychiatry Clinic. RF was measured both through the Child and Adolescent Reflective Functioning (CRFS) applied to the Child Attachment Interview transcripts and the self-report Reflective Functioning Questionnaire (RFQ), while the Children’s Somatization Inventory (CSI-24) was used to measure the perceived severity of somatic symptoms. Results: Different relations with somatic symptoms depended on the method used to evaluate RF: no significant correlations were found with the CRFS subscales (General, Other, Self), while a negative significant correlation was found with the RFQ subscale Certainty about mental states (RFQ_C) (r=-.46, p=.016). All subscales of CRFS were negatively correlated with RFQ_C (p=.05), but not with the other RFQ subscale (Uncertainty about mental states; RFQ_U). Conclusions: This suggests that two measures may lead to different dimensions of the same construct, thus a multi-method assessment of RF would be advisable in clinical practice

Which Space for Fathers’ Mentalizing? A Systematic Review on Paternal Reflective Functioning, Mind-Mindedness and Insightfulness

Over the past twenty years research interest has been focused on deepening the role of parental mentalizing. Nevertheless, few studies have specifically addressed the role played by fathers’ mentalizing. This systematic review aims to bridge this gap by offering an exploration of paternal mentalizing within attachment theory considering three different operationalizations: Reflective Functioning, Parental Insightfulness and Mind-Mindedness. Starting from this, the main goals of this systematic review are: (1) to show the effect of paternal mentalizing on child’s outcomes or paternal role within the family system, (2) to increase research exchange between different theoretical frameworks, enhancing the knowledge of the mentalization construct, (3) to explore under-researched areas and implications for research and clinical practice. PsycInfo, PsycArticle, Web Of Science, Scopus, Medline, PubMed and EMBASE were systematically searched for articles published until February 7, 2021. In total, 6311 studies were considered for the systematic review; of these, thirty-six met the inclusion criteria. The included studies were subsequently split on the basis of the specific mentalizing operationalization. Overall, the data showed significant associations between paternal mentalizing and both fathers’ parenting features and variables related to the paternal broader functioning within the family context. This systematic review also confirms the role of fathers’ mentalizing processes in relation to paternal features and child’s outcomes. In conclusion, further studies aimed at examining paternal mentalizing specific influences, exploring the causal pathways related to paternal mentalizing and investigating the relationship between different mentalizing dimensions and their diverse effects are recommende