2013
Geo-analysis of Landscape Level Degradation and Natural Risk Formation under Uncertainty
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
Autoři
Vydání
Berlin Heidelberg, Environmental Software Systems. Fostering Information Sharing. 10th IFIP WG 5.11 International Symposium, ISESS 2013, Neusiedl am See, Austria, October 9-11, 2013. Proceedings. od s. 285-293, 9 s. 2013
Nakladatel
Springer
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
Zemský magnetismus, geodesie, geografie
Stát vydavatele
Německo
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14310/13:00069503
Organizační jednotka
Přírodovědecká fakulta
ISBN
978-3-642-41150-2
ISSN
Klíčová slova anglicky
degradation of landscape; cartographic visualization; uncertainty; natural risk; river landscape; the Leskava stream; the Lačnovský stream
Příznaky
Mezinárodní význam
Změněno: 11. 3. 2014 15:47, Mgr. Radka Báčová, Ph.D., MPA
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 Lačnovský 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.
Návaznosti
| MUNI/A/0902/2012, interní kód MU |
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