The impact of individual buildings on urban flood risk analysis

When performing an urban flood risk analysis, it is often difficult to take individual buildings into account: doing so requires the availability of a high resolution 2D hydrodynamic model for the preparation of flood maps and detailed land use maps for the preparation of flood damage maps. As a consequence, a simplified approach is often required, involving the use of low resolution models and simplified land use maps. This study aims at evaluating the impact of such simplifications on the flood risk by means of a case study: the flooding of the city of Antwerp (Belgium) caused by wave overtopping of the flood defenses along the river Scheldt. Two methods for computing flood maps were combined with two methods for computing damage maps, yielding four different methods for computing urban flood risk. The results obtained with the four methods differ significantly. The flood risk predicted by a combination of the detailed approaches was found to be less than 30% of the flood risk predicted by a combination of the simplified approaches. From this study, we can conclude that the procedures used for dealing with the presence of buildings can be a significant source of uncertainty in urban flood risk analysis

Determinants of soil organic matter chemistry in maritime temperate forest ecosystems

While the influence of climate, vegetation, management and abiotic site factors on total carbon budgets and turn-over is intensively assessed, the influences of these ecosystem properties on the chemical complexity of soil organic matter (SOM) remains poorly understood. This study addresses the chemical composition of NaOH-extracted SOM from maritime temperate forest sites in Flanders (Belgium) by pyrolysis-GC/MS. The studied forests were chosen based on dominant tree species (Pinus sylvestris, Fagus sylvatica, Quercus robur and Populus spp.), soil texture and soil-moisture conditions. Differences in extractable-SOM pyrolysis products were correlated to site variables including dominant tree species, management of the woody biomass, site history, soil properties, total carbon stocks and indicators for microbial activity. Despite of a typical high intercorrelation between these site variables, the influence of the dominant tree species is prominent. The extractable-SOM composition is strongly correlated to litter quality and available nutrients. In nutrient-poor forests with low litter quality, the decomposition of relatively recalcitrant compounds (i.e. short and mid-chain alkanes/alkenes and aromatic compounds) appears hampered, causing a relative accumulation of these compounds in the soil. However, if substrate quality is favorable, no accumulations of recalcitrant compounds were observed, not even under high soil-moisture conditions. Former heathland vegetation still had a profound influence on extractable-SOM chemistry of young pine forests after a minimum of 60 year

Defining the architecture of the human TIM22 complex by chemical crosslinking

The majority of mitochondrial proteins are nuclear encoded and imported into mitochondria as precursor proteins via dedicated translocases. The translocase of the inner membrane 22 (TIM22) is a multisubunit molecular machine specialized for the translocation of hydrophobic, multi‐transmembrane‐spanning proteins with internal targeting signals into the inner mitochondrial membrane. Here, we undertook a crosslinking‐mass spectrometry (XL‐MS) approach to determine the molecular arrangement of subunits of the human TIM22 complex. Crosslinking of the isolated TIM22 complex using the BS3 crosslinker resulted in the broad generation of crosslinks across the majority of TIM22 components, including the small TIM chaperone complex. The crosslinking data uncovered several unexpected features, opening new avenues for a deeper investigation into the steps required for TIM22‐mediated translocation in humans