...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Pure and Applied Geophysics >Geocomputation and Spatial Modelling for Geographical Drought Risk Assessment: A Case Study of the Hustopee Area, Czech Republic
【24h】

Geocomputation and Spatial Modelling for Geographical Drought Risk Assessment: A Case Study of the Hustopee Area, Czech Republic

机译：地理干旱风险评估的地理跟踪与空间建模 - 以捷克共和国喧嚣地区为例

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The phenomenon of drought is serious in many landscapes with continental patterns of climate. In fact, drought risk is usually assessed in terms of prevailing issue (meteorological, hydrological, agronomical, etc.) and not in terms of complex landscape features. A procedure for detailed geographical drought risk modelling has been developed using recent meteorological data of dry period and prior precipitations, as well as a digital elevation model and geographic data layers of natural landscape features and land cover. The current version of the procedure starts with meteorological data (temperature and precipitation) processing followed by the use of soil and geological data and land cover, the national CORINE LC 2006 CZ database, for assessing the impact of the local natural features on drought risk. The methodology is based on GIS tools, geodata of the geological structure of the area (water holding capacity of the substrate, the horizontal and vertical water conductivity), soil cover (in agricultural and forested areas, soil types and kinds), landscape cover (land use), relief (digital elevation model and its derivatives), temperature and precipitation data from neighbouring representative meteorological and climate stations. The procedure uses regression equation for temperature and precipitation risk modelling, fuzzy standardization for estimation of different water retention within land cover categories and expert estimation for risk categories within rocks and soils. The final calculation is based on spatial decision-making techniques, especially the weighted sum method with a natural breaks reclassification algorithm. Combining geodata of soils, the geological environment and the active surface with their computed humidity conditions, it is possible to identify areas with a graded risk of geographic drought. The final results do not represent partial values, but identify five risk classes in the study area illustrating a possible level of geographical drought risk.
机译：干旱的现象在许多景观中严重，含有大陆气候的景观。事实上，通常在普遍存在的问题（气象，水文，农艺学等方面，而不是在复杂的景观特征方面进行评估。已经使用最近的干周期和先前沉淀的气象数据以及自然景观特征和陆地覆盖的数字高度模型和地理数据层进行了详细地理干旱风险建模程序。该过程的当前版本从气象数据（温度和降水）处理开始，然后使用土壤和地质数据和土地覆盖，国家康鱼LC 2006 CZ数据库，用于评估当地自然特征对干旱风险的影响。该方法基于GIS工具，地质结构的地质结构（基材的水持能力，水平和垂直导电性），土壤覆盖（农业和森林地区，土壤类型和种类），景观覆盖（土地使用），救济（数字海拔模型及其衍生物），来自邻近代表性气象和气候站的温度和降水数据。该程序使用回归方程进行温度和降水风险建模，模糊标准化，以估算岩石和土壤中风险类别的不同水保留和勘探类别的专家估算。最终计算基于空间决策技术，尤其是具有自然断裂重新分类算法的加权和方法。将土壤，地质环境和活性表面的地理数据与其计算的湿度条件相结合，可以识别具有地理干旱风险的区域。最终结果并不代表部分值，但是在研究区域中确定五个风险等级，说明了可能的地理干旱风险水平。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号