ALBERT

Description: A wide variety of geographic information system tools and methods was used for pre-dam topography reconstruction and reservoir bottom surveying in two dam reservoirs in the Ohře River, Czech Republic. The pre-dam topography was reconstructed based on archival aerial imagery and old maps. The benefits and drawbacks of these methods were tested and explained with emphasis on the fact that not all processed archival data are suitable for pre-dam topography modeling. Bathymetric surveying of a reservoir bottom is presently routine, but in this study, we used a wide combination of bathymetric mapping methods (sonar, ground penetration radar, and sub-bottom profiler) and topographic survey tools (LiDAR and photogrammetry), bringing great benefits for bottom dynamic analysis and data cross-validation. The data that we gathered made it possible to evaluate the formation of the inflow deltas in the reservoirs studied and assess the sediment reworking during recent seasonal drawdowns. A typical inflow delta was formed in the deeper of the two studied reservoirs, while the summer 2019 drawdown caused the formation and incision of a temporary drawdown channel and erosive downstream transport of approximately 1/10 of the delta body thickness in approximately 1/10 of the delta transverse size. No inflow delta was formed in the shallower of the studied reservoirs, but unexpectedly extensive sediment reworking was observed in the inflow part of the reservoir. Both the studied reservoirs and the pre-dam river floodplain have accumulated historical contamination by risk elements such as As, Hg, Pb; thus, the enhanced erosion of existing sediment bodies expected in the future, owing to more frequent droughts and global climate change, will endanger the ecological quality of the water and solids outflowing from the reservoirs.

Description: Socio-ecological hazards are processes that − depending on the vulnerability of societal systems − may have profound adverse impacts. For this reason, the current discourse in disaster risk reduction (DRR) has been experiencing a shift toward a vulnerability-led paradigm, raising new questions about how to address (i) the complexity of vulnerabilities to multiple hazards, (ii) their cultural, dynamic, and subjective character, and (iii) the effectiveness and legitimacy of vulnerability assessments as decision-support tools. In this paper, we present a review of 707 vulnerability studies (derived from the Clarivate WoS database; 1988−2018) with a particular focus on urban settings and spatially explicit assessments in order to evaluate current efforts to meet the aforementioned issues. The reviewed studies assessed vulnerabilities to 35 hazard types that were predominantly (n=603, 85%) analysed as single hazards (mostly seismic, flood, and groundwater contamination hazards, as well as climate change), whereas only 15% (n=104) of studies focused on multiple hazards (mostly atmospheric hazards). Within the spatially explicit vulnerability studies, almost 60% used data collected by the study itself (mostly seismic hazards), while statistical and combined data were both employed in 20% of cases (mostly floods, climate change, and social and political hazards). Statistical data were found to have only limited transferability, often being generalised to be applicable in small-scale studies, while reducing the role of cultural and contextual factors. Field research data provided high-resolution information, but their acquisition is time-consuming, and therefore fixed at a local scale and single temporal stage. Underlying hazard types and suitable data sources resulting in other differences found a preference towards the specific coverage and resolution of vulnerability maps that appeared in 44% of all reviewed studies. Altogether, the differences we found indicated a division of spatially explicit vulnerability research in two major directions: (i) geological and geomorphological studies focusing on physical vulnerability, using their own data surveys at a detailed scale and lacking links to other hazards, and (ii) other studies (mostly atmospheric hazards and socialpolitical hazards) focusing on social or combined vulnerabilities, using primarily statistical or combined data at a municipal, regional, and country scale with occasional efforts to integrate multiple hazards. Finally, although cartographic representations have become a frequent component of vulnerability studies, our review found only vague rationalisations for the presentation of maps, and a lack of guidelines for the interpretation of uncertainties and the use of maps as decision-support tools.

Description: The regime change in the former German Democratic Republic and its reunification with the Federal Republic of Germany at the beginning of 1990s launched significant social and economic changes which resulted i.a. in high out-migration rate and secondary also rapid demographic ageing of the populations of the states of former Eastern Germany including Saxony. As a consequence, there is a lack of health professionals in Saxon hospitals which is going to be solved by the in-migration of medical staff from abroad. The geographical location of the Federal state of Saxony predetermines representatives of Saxon hospitals to look for missing health care labour in Czechia and latest statistics demonstrate that this could be a successful way to stabilize or even increase the personnel numbers of Saxon health care providers. The aim of this article is not only to bring some basic data about the migration of Czech health professionals to Germany, but especially to focus on processes which facilitate or hinder such kind of mobility, influence the rate of success of their integration both into the work team and German society and form the prospects of their permanent stay in Germany. Ten interviews with Czech health professionals were conducted in order to fulfill these ambitions. As a result, crucial barriers and recommendations for improvements concerning the migration decision making, their integration and sustaining in the migratory destination are presented.

Description: Historical and archival sources are of cardinal importance in landscape research addressing the processes and course of landscape changes in European regions. The Franziscean cadastre from the 19th century is among the most widely used historical sources in Central Europe. We identified 1440 records, finally providing 104 articles reporting the use of the Franziscean cadastre for in-depth analyses in order to identify (i) the practice of the cadastral data processing, (ii) purpose and spatial extent of the study, (iii) use of complementary sources and (iv) particular land use/land cover classes under study. We have found the increasing attention towards the Franziscean cadastre as a source for landscape research reflected by the doubling number of records in the past decade with majority of the case studies located in Czechia (79), followed by Austria (9) and Italy (3). We have identified the trends in the use in landscape trajectory research and application to hydrology, agriculture and forestry. As regards the data processing, several issues connected with the methodology or design of the records were found (e.g. geographic information system processing description and data source specification). We further problematize the suitability of the supplementary data used and conclude our review with a set of recommendations to contribute to the discussion on the methodology of landscape reconstruction with historical datasets.

Description: Places of past conflicts and persistent objects that reflect such events often attract the attention of archaeological prospection which facilitates the construction of conflict narratives. Field prospection as a precise method for localization of aerial bombing craters (as an example of such persistent features) is a highly time- and resource-consuming task. Therefore, methods for automatic identification of such features are evolving. We present a comparison of three methods for possible automatic crater detection based on (a) extraterrestrial crater detection algorithms, (b) geomorphology-based edge extraction, and (c) image pattern recognition via a state-of-the-art convolutional neural network (CNN). All methods were preliminarily tested on a case study of eight Second World War (WWII) aerial bombing crater sites in NW Czechia via Airborne Laser Scanned LiDAR-derived digital terrain models with different spatial resolutions. We found that extraterrestrial crater detection algorithms and geomorphology-based edge extraction methods yield worse results given the standard indices of precision and recall. By comparison, the CNN method utilized for a particular task achieved satisfying results, predominantly with 0.5 m/px resolution (which is often available at the country level) of the input raster. Nevertheless, overall performance with this resolution varies significantly among the sites. Therefore, the quality and readability of the input data are crucial factors for the successful acquisition of precise ordinance location identification.