2013
Geo-analysis of Landscape Level Degradation and Natural Risk Formation under Uncertainty A Case Study of Selected Czech Urban Watercourses
BÁČOVÁ, Radka; Petr KUBÍČEK; Jiří JAKUBÍNSKÝ; Eva SVOBODOVÁ; Vladimír HERBER et al.Základní údaje
Originální název
Geo-analysis of Landscape Level Degradation and Natural Risk Formation under Uncertainty A Case Study of Selected Czech Urban Watercourses
Autoři
Vydání
BERLIN, ENVIRONMENTAL SOFTWARE SYSTEMS: FOSTERING INFORMATION SHARING, od s. 285-293, 9 s. 2013
Nakladatel
SPRINGER-VERLAG BERLIN
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10508 Physical geography
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Označené pro přenos do RIV
Ano
Organizační jednotka
Přírodovědecká fakulta
ISBN
978-3-642-41150-2
ISSN
UT WoS
EID Scopus
Klíčová slova anglicky
degradation of landscape; cartographic visualization; uncertainty; natural risk; river landscape; the Leskava stream; the Lacnovsky stream
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 3. 7. 2020 13:33, Mgr. Marie Novosadová Šípková, DiS.
Anotace
V originále
Rivers and streams in urban areas are losing their natural environmental qualities. A lack of river management and insufficient interest on the part of municipal authorities has become the norm, especially in the case of small watercourses. Here, an interdisciplinary approach to landscape-level degradation is applied to selected catchments in the Czech Republic (the streams known as the Lacnovsky and the Leskava). This approach includes basic geographical approaches to the quantification of the relationship between anthropogenic pressure and ecological stability. The methods employed include hy-dromorphological field research, identification of changes in land use, and an inventory of anthropogenic landforms. The existence of urban stream syndrome was established in model catchments. Parameters for these areas were compared with values for susceptibility to natural risk and preliminary results show a spatial pattern consistent with the areas at most risk also being prone to flooding. The observations were subjected to cartographic visualization and enriched with thematic and temporal uncertainty features, thus refining the results and highlighting any ambiguity.