D 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

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

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.