Quantitative evaluation of the risk induced by dominant geomorphological processes on different land uses, based on GIS spatial analysis models
Autor: | Bilaşco Ştefan, Fodorean Ioan, Petrea Dănuţ, Roşca Sanda, Vescan Iuliu, Filip Sorin |
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Rok vydání: | 2017 |
Předmět: |
0106 biological sciences
Land use Process (engineering) business.industry Environmental resource management 0211 other engineering and technologies Land management Vulnerability Landslide 02 engineering and technology 01 natural sciences Raster data Quantitative analysis (finance) General Earth and Planetary Sciences Environmental science business Spatial planning 010606 plant biology & botany 021101 geological & geomatics engineering |
Zdroj: | Frontiers of Earth Science. 12:311-324 |
ISSN: | 2095-0209 2095-0195 |
DOI: | 10.1007/s11707-017-0679-3 |
Popis: | Maramures Land is mostly characterized by agricultural and forestry land use due to its specific configuration of topography and its specific pedoclimatic conditions. Taking into consideration the trend of the last century from the perspective of land management, a decrease in the surface of agricultural lands to the advantage of built-up and grass lands, as well as an accelerated decrease in the forest cover due to uncontrolled and irrational forest exploitation, has become obvious. The field analysis performed on the territory of Maramures Land has highlighted a high frequency of two geomorphologic processes — landslides and soil erosion — which have a major negative impact on land use due to their rate of occurrence. The main aim of the present study is the GIS modeling of the two geomorphologic processes, determining a state of vulnerability (the USLE model for soil erosion and a quantitative model based on the morphometric characteristics of the territory, derived from the HG. 447/2003) and their integration in a complex model of cumulated vulnerability identification. The modeling of the risk exposure was performed using a quantitative approach based on models and equations of spatial analysis, which were developed with modeled raster data structures and primary vector data, through a matrix highlighting the correspondence between vulnerability and land use classes. The quantitative analysis of the risk was performed by taking into consideration the exposure classes as modeled databases and the land price as a primary alphanumeric database using spatial analysis techniques for each class by means of the attribute table. The spatial results highlight the territories with a high risk to present geomorphologic processes that have a high degree of occurrence and represent a useful tool in the process of spatial planning. |
Databáze: | OpenAIRE |
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