| Autor: |
TĂNASE, George, MITITELU-IONUȘ, Oana, BOENGIU, Sandu, SIMULESCU, Daniel |
| Předmět: |
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| Zdroj: |
Revista de Geomorfologie; 2023 Special Issue, Vol. 25, p26-26, 1p |
| Abstrakt: |
The present study aims to establish the risk to excess moisture by identifying the subsidence areas within the Sălcuţa Plain and drawing up the risk map to this phenomenon. As a result of the chemical and mechanical subsidence of the loessoid deposits, 303 depressions were formed that affect agricultural lands. The surface drainage network around the depressions drains to these negative landforms constituting a temporary converging hydrographic network. The identification of both surface drainage network and excess moisture areas was achieved in semi-automatic mode in GIS environment, using the open-source software SAGA GIS based on a digital elevation model of the LiDAR type, with high spatial resolution of 5 meters. In the next step, the distribution map of areas affected by excess moisture was generated using basic geospatial information in raster format (topographic indices and soil maps). The evaluation results indicated that to the four classes of the topographic wetness index were corresponding significant surfaces, such as: low – 990 ha (4,5 %); moderate – 791 ha (3,6 %); high – 163 ha (0,7 %); very high – 21 ha (0,1 %). In order to restore the land affected to the agricultural activities, most of the subsidence areas were artificially drained by a network of draining channels. However, the method chosen by the authorities did not completely eliminate the stagnant footprint of the soils. In this regard, the research demonstrates the potential use of topographic data and GIS for assessing subsidence impacts through environmental condition and it is desired to raise an alarm signal regarding excess humidity in the study area in order to take the necessary measures by the stakeholders. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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