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Mapping rainfall aggressiveness from physiographical data: application to the Grândola Mountain Range (Alentejo, Portugal)
Physical Geography ( IF 1.6 ) Pub Date : 2019-10-04 , DOI: 10.1080/02723646.2019.1674557
H. Fernandez 1, 2 , Fernando Martins 1, 2 , Jorge M. G. P. Isidoro 1, 3
Affiliation  

ABSTRACT The South of the Iberian Peninsula is subject to long periods of drought followed by heavy rain events over shallow soils, promoting soil loss. The Modified Fournier Index (MFI) is a good indicator of this process; however, MFI is sometimes difficult to assess due to the scarcity of rainfall data. This study proposes a methodology using MFI and supported by a geographic information system (GIS) and geostatistics to map rainfall aggressiveness with scarce spatial rainfall data, where physiographic variables are used to overcome the lack of rainfall data. The Grândola Mountain Range in the Alentejo region, Portugal, is presented as a case study. This area is a CORINE biotope, currently under application to the Natura 2000 network, and should be considered as a priority for the conservation of the environment. The model allowed us to create a map of rainfall aggressiveness, classified according to CORINE-CEC, found to be Moderate in the mountains and Low in the coastal area of the Grândola Mountain Range. This cartography is an important tool for local and national stakeholders and authorities with responsibilities in planning and protection of the territory. The methodology can be used in regions with scarce spatial rainfall data to assess areas susceptible to rainfall-induced soil erosion.

中文翻译:

从地理数据绘制降雨侵袭性:应用于格兰多拉山脉(葡萄牙阿连特茹)

摘要 伊比利亚半岛南部长期干旱,随后在浅层土壤上发生大雨,导致土壤流失。修正傅尼叶指数 (MFI) 是这个过程的一个很好的指标;然而,由于降雨数据的稀缺,MFI 有时难以评估。本研究提出了一种使用 MFI 并由地理信息系统 (GIS) 和地质统计学支持的方法,以利用稀缺的空间降雨数据绘制降雨侵袭性,其中使用地貌变量来克服降雨数据的缺乏。葡萄牙阿连特茹地区的格兰多拉山脉是一个案例研究。该区域是 CORINE 生物群落,目前正在应用于 Natura 2000 网络,应被视为保护环境的优先事项。该模型使我们能够创建根据 CORINE-CEC 分类的降雨侵袭性地图,发现在山区为中等,在格兰多拉山脉的沿海地区为低。对于负责规划和保护领土的地方和国家利益相关者和当局来说,这种制图是一个重要的工具。该方法可用于空间降雨数据稀缺的地区,以评估易受降雨引起的土壤侵蚀影响的地区。
更新日期:2019-10-04
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