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Quantitative evaluation of the risk induced by dominant geomorphological processes on different land uses, based on GIS spatial analysis models

机译:基于GIS空间分析模型的不同土地利用优势地貌过程诱发风险的定量评估

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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.
机译:Maramures土地的主要特征是其农业和林业用地,这是由于其特定的地形配置和特定的气候条件。从土地管理的角度考虑上个世纪的趋势,减少耕地的面积以增加耕地和草地的优势,以及由于不受控制和不合理的原因而导致森林覆盖率的加速下降森林开发,已变得显而易见。在Maramures Land领土上进行的现场分析表明,两个地貌过程(滑坡和水土流失)的发生频率很高,由于它们的发生率,它们对土地利用具有重大负面影响。本研究的主要目的是对两个地貌过程进行GIS建模,确定脆弱性状态(土壤侵蚀的USLE模型和基于区域形态特征的定量模型(源自HG。447/2003)。 )及其在复杂的累积漏洞识别模型中的集成。风险暴露的建模是基于空间分析模型和方程的定量方法进行的,该模型是通过建模栅格数据结构和主要矢量数据开发的,并通过矩阵突出显示了脆弱性与土地利用类别之间的对应关系。风险的定量分析是通过使用属性表将每个类别的空间分析技术纳入模型模型中的暴露类别和作为主要字母数字数据库的土地价格来进行的。空间结果突出显示了存在高风险地貌过程的地域,这些地貌过程的发生率很高,并且代表了空间规划过程中的有用工具。

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