scholarly journals How human interference changes the drainage network operating during heavy rainfalls in a medium-high relief flysch mountain catchment? The case study of the Bystrzanka catchment (Outer Carpathians, Poland)

CATENA ◽  
2020 ◽  
Vol 194 ◽  
pp. 104662 ◽  
Author(s):  
Tomasz Bryndal ◽  
Rafał Kroczak ◽  
Małgorzata Kijowska-Strugała ◽  
Witold Bochenek
Author(s):  
Ana Jeleapov ◽  

The paper contains the results of classification of rivers and streams of the Republic of Moldova according to classic Strahler method. Mentioned method was applied to estimate the hierarchical rank of the stream segments situated in 50 pilot basins using modern GIS techniques and drainage network of the GIS for Water Resources of Moldova. It was estimated that the maximal order of segments is 7 specific for the Raut and Ialpug rivers. Overall, length of 1st order streams forms 50%, while that of 7th order streams - < 1%. Additionally, stream number and frequency as well as drainage density were calculated for pilot river basins.


2012 ◽  
Vol 16 (8) ◽  
pp. 2739-2748 ◽  
Author(s):  
W. W. Zhao ◽  
B. J. Fu ◽  
L. D. Chen

Abstract. Land use and land cover are most important in quantifying soil erosion. Based on the C-factor of the popular soil erosion model, Revised Universal Soil Loss Equation (RUSLE) and a scale-pattern-process theory in landscape ecology, we proposed a multi-scale soil loss evaluation index (SL) to evaluate the effects of land use patterns on soil erosion. We examined the advantages and shortcomings of SL for small watershed (SLsw) by comparing to the C-factor used in RUSLE. We used the Yanhe watershed located on China's Loess Plateau as a case study to demonstrate the utilities of SLsw. The SLsw calculation involves the delineations of the drainage network and sub-watershed boundaries, the calculations of soil loss horizontal distance index, the soil loss vertical distance index, slope steepness, rainfall-runoff erosivity, soil erodibility, and cover and management practice. We used several extensions within the geographic information system (GIS), and AVSWAT2000 hydrological model to derive all the required GIS layers. We compared the SLsw with the C-factor to identify spatial patterns to understand the causes for the differences. The SLsw values for the Yanhe watershed are in the range of 0.15 to 0.45, and there are 593 sub-watersheds with SLsw values that are lower than the C-factor values (LOW) and 227 sub-watersheds with SLsw values higher than the C-factor values (HIGH). The HIGH area have greater rainfall-runoff erosivity than LOW area for all land use types. The cultivated land is located on the steeper slope or is closer to the drainage network in the horizontal direction in HIGH area in comparison to LOW area. The results imply that SLsw can be used to identify the effect of land use distribution on soil loss, whereas the C-factor has less power to do it. Both HIGH and LOW areas have similar soil erodibility values for all land use types. The average vertical distances of forest land and sparse forest land to the drainage network are shorter in LOW area than that in HIGH area. Other land use types have shorter average vertical distances in HIGH area than that LOW area. SLsw has advantages over C-factor in its ability to specify the subwatersheds that require the land use patterns optimization by adjusting the locations of land uses to minimize soil loss.


2021 ◽  
Vol 14 (4) ◽  
pp. 2352-2368
Author(s):  
Arthur Santos ◽  
Fernando Santil ◽  
Petrônio Oliveira ◽  
José Roveda

The use of geotechnologies to map the levels of environmental fragility in a municipality is an important environmental planning strategy, especially when it is intended to make a conscious use of the area's natural resources through its zoning. Therefore, the objective of this research was to carry out, through the implementation of geotechnologies, a study of environmental fragility in a municipality occupied, intensively, by mining activities and agriculture. As a case study, the municipality of Paracatu - Minas Gerais was adopted. Pedological, lithological, hydrographic, hypsometric, declivity and land use and occupation aspects were raised, in addition to the drainage network, the municipal boundary and mining activity. Finally, using Fuzzy Logic with the use of weights defined by the Analytical Hierarchical Process (AHP) method, the maps of slope, land use and cover, lithology, pedology and drainage network were used to prepare a map of environmental fragility of the municipality. It was concluded that the municipality is susceptible to negative environmental impacts, mainly in its urban network and in the area of open-pit minning, and that these can be better evaluated through the use of geotechnologies aimming at subsidizing urban planning, which is extremely important for the municipality of Paracatu - MG, which is currently undergoing changes in its master plan and intends to expand.


2020 ◽  
Vol 109 (5) ◽  
pp. 1853-1867
Author(s):  
Henryk Sechman ◽  
Piotr Guzy ◽  
Paulina Kaszuba ◽  
Anna Wojas ◽  
Grzegorz Machowski ◽  
...  

2011 ◽  
Vol 62 (4) ◽  
pp. 333-343 ◽  
Author(s):  
M. Gasiński ◽  
Alfred Uchman

The Cretaceous-Paleogene boundary in turbiditic deposits identified to the bed: a case study from the Skole Nappe (Outer Carpathians, southern Poland)The Cretaceous-Paleogene (K-T) boundary has been recognized in turbiditic sediments of the Ropianka Formation in the Skole Nappe (Bąkowiec section) on the basis of planktonic foraminiferids with an accuracy of 40 cm. Such precise determination of the K-T boundary for the first time in the Carpathians and in turbiditic flysch sediments in general was possible due to the successive occurrence of the Early Paleocene planktonic taxa of the P1 Zone above the latest MaastrichtianAbathomphalus mayaroensisZone with theRacemiguembelina fructicosaSubzone. The trends in composition of the latest Maastrichtian foraminiferal assemblages are similar to the Gaj section from the adjacent thrust sheet, probably due to the influence of the same paleoenvironmental factors.


2020 ◽  
Vol 34 (26) ◽  
pp. 5489-5504
Author(s):  
Yanzi Yan ◽  
William Lidberg ◽  
David E. Tenenbaum ◽  
Petter Pilesjö

Sign in / Sign up

Export Citation Format

Share Document