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EN
European cities face urban, demographic and climate challenges. According to forecasts, annual extreme phenomena will intensify - including torrential rains. Comprehensive solutions (also those based on nature), climate adaptation strategies, runoff management, incorporation of new design (e.g. sponge cities) are urgently required in order to strengthen urban resilience and to minimise the effects of extreme weather events (droughts, floods or heat islands). The aim of the research was to develop a methodology for activating selected elements of blue-green infrastructure within areas of natural and cultural protection as an adaptive tool of urban planning. Modelling of infiltration possibilities, programmed with SCALGO Live Poland software, was performed as a case study based on a research city - Sandomierz (in Poland). Selected parameters (stormwater surface runoff, chosen runoff areas, land cover) are strongly correlated with urban indicators relating to the vegetation coverage (biologically active area - BAA). Results pointed out urban units, which BAA is lower than 25% (e.g. Old Town Square, courtyards of tenement houses). Modelling was carried out for these units by concentrating on the undeveloped area for which the BAA was increased. The enhancement assumed values in the range of 41-45%. In analysed cases, an improvement (decrease) in runoff volume was obtained, even by 8.69%. Simultaneously, infiltration increased by 19.61%, calculated over entire runoff area. Implementation of solutions based on these results, in the form of appropriate planning provisions, can raise the quality of environment (e.g. improving water infiltration) and life (e.g. more effective air cooling on hot nights).
2
Content available remote Middleware for Managing QoS Adaptation of SOA Applications
EN
The paper describes an improvement over our previous work: the concept of an Adaptive SOA Solution Stack (based on the IBM S3 model) which applies an AS3 element pattern to S3 layers where the need for adaptation arises. The presented improvement, called the adaptation strategy management process, represents a solution that enables an Adaptation Architect to model Quality of Service (QoS) adaptation in a declarative manner, automatically deploy it into a running system and then monitor its execution. Its main objective is to allow the Adaptation Architects to view the adaptation process on a higher level of abstraction and employ adaptivity mechanisms in working applications in an easy way. This is accomplished by incorporating the adaptive application metamodel developed in the DiVA EU project and adjusting it to the SOA context. This paper explains the challenges involved in adaptation strategy management and proposes extensions to the DiVA metamodel. Subsequently, it presents a method by which the Adaptive Manager (a component of the AS3 adaptation loop responsible for making decisions about adaptation) can execute adaptation strategies in accordance with the adaptation model. The presented approach is evaluated in a case study, creating an adaptation strategy and monitoring its impact on an application prototype.
EN
Seed mass is a critical life-history character in seed evolutionary ecology. Plant species can present responses in seed mass to environment stresses. We tested the hypotheses that seed mass was positively correlated with altitude within species. We selected four congeneric Saussurea species as study objects, and collected their seeds along altitudinal gradients (2100.4200 m a.s.l.) in the alpine area of the Qinghai-Tibetan Plateau, China. Results showed that mean seed mass of the four species were significantly affected by altitude (P <0.001). There was a general trend of an increase in seed weight with altitude among the populations of the four species. In addition, mean seed mass of four species were not significantly different, but all presented a bigger coefficients of variation within species along altitude gradients. Our results indicate selection pressure within species, with larger seeds occurring at higher altitudes.
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