基于高空间分辨率数据的多种危害易感性模型 - - 萨利定居点 (克罗地亚Dugi otok) 的案例研究
Ante Šiljeg1,2, Silvija Šiljeg1,2, Rina Milošević3,4
1University of Zadar, Department for Geography, Franje Tuđmana 24i, Zadar, Croatia.
Environmental science and pollution research international
|November 5, 2023
概括
这项研究开发了克罗地亚首个沿海地区的多重危险易感模型,结合了地理空间技术和当地感知,绘制了土壤侵蚀,野火和洪水带来的风险.
科学领域:
- 环境科学 环境科学
- 地理信息科学 地理信息科学
- 风险管理 风险管理
背景情况:
- 沿海地区因人口压力和气候变化而面临越来越多的自然灾害.
- 地中海国家对野火,洪水和土壤侵蚀具有很高的脆弱性.
- 克罗地亚的沿海地区需要量身定制的自然危险评估工具.
研究的目的:
- 为克罗地亚开发第一个多重危害易感性模型 (MHSM),重点关注萨利定居点.
- 将地理空间技术 (GST) 与当地感知调查相结合,以进行全面的风险评估.
- 为了建模土壤侵蚀,野火和暴雨洪水的易感性.
主要方法:
- 使用多标准的GIS分析和分析层次流程开发了个别危险易感模型 (土壤侵蚀,野火,暴雨洪水).
- 创建了MHSM的两个版本:一个具有平等权重,另一个包含公众对权重的看法.
- 在模型开发和ROC曲线准确性验证中使用了32个标准的非常高分辨率 (VHR) 数据.
主要成果:
- 据MHSM 1显示,58%的地区是中度易感的,27%是高度易感的,主要是靠近基础设施.
- MHSM 2显示了类似的空间模式,尽管公众的看法将野火列为最高风险,其次是洪水和土壤侵蚀.
- 关于土壤侵蚀易受性的公众认知与GIS-MCDA模型之间发现了显著的差异.
结论:
- 开发的MHSM提供了一个强大的框架,用于评估脆弱沿海地区的多重危险易感性.
- 整合本地感知提供了有价值的见解,尽管与科学模型的差异需要进一步调查.
- 该方法框架可适用于其他地中海地区的多重危险评估.
相关概念视频
Habitat Fragmentation
17.5K
Habitat fragmentation describes the division of a more extensive, continuous habitat into smaller, discontinuous areas. Human activities such as land conversion, as well as slower geological processes leading to changes in the physical environment, are the two leading causes of habitat fragmentation. The fragmentation process typically follows the same steps: perforation, dissection, fragmentation, shrinkage, and attrition.
17.5K
Mechanistic Models: Compartment Models in Individual and Population Analysis
44
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
44
Applications of GIS: Disaster Management and Emergency Response
89
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
89
Selected Data About Geographic Locations
28
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
28


