基于SPI(标准化降水指数)的干旱脆弱性评价方法

E. Asrari, M. Masoudi
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引用次数: 2

摘要

标准化降水指数(SPI)是一种广泛使用的干旱指数,可以很好地估计干旱的强度、幅度和空间范围。本研究的目的是利用SPI指数分析干旱的空间格局。本文利用伊朗南部法尔斯省30个气象站1972-2006年的观测资料,对伊朗南部法尔斯省干旱灾害模式进行了评价。采用Thiessen法确定各站点的影响区。尝试利用GIS技术建立新的干旱灾害模型。研究和考虑了确定易受影响地区的三个干旱标准。本模型采用的干旱危险标准包括:该时期最大干旱严重程度、干旱趋势和最大连续干旱年数。每一个脆弱性指标图和最终危险度图都将干旱分为轻度、中度、重度和极重度4个危险度。最终的干旱易损性图是通过覆盖GIS中的三个标准图来编制的,最终的危险等级是根据使用主要指标的几何平均值得出的危险分数来定义的,部署了新模型。最终的脆弱性地图显示,中度危险区(占该地区的74%)比在该地区西北部和东部观察到的严重危险区(占该地区的26%)广泛得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Methodology for Drought Vulnerability Assessment Using SPI (Standardized Precipitation Index)
The Standardized Precipitation Index (SPI) is a widely used drought index to provide good estimations about the intensity, magnitude and spatial extent of droughts. The objective of this study was analyzing spatial pattern of drought by SPI index. In this paper, according to the data of 30 stations in Fars Province located in the southern Iran, during 1972-2006, the pattern of drought hazard are evaluated. Influenced zone of each station was specified by Thiessen method. It was attempted to make a new model of drought hazard using GIS. Three criteria for drought were studied and considered to define areas under vulnerability. Drought hazard criteria used in the present model include: maximum severity of drought in the period, trend of drought, and the maximum number of sequential arid years. Each of the vulnerability indicator map and also final hazard map are classified into 4 hazard classes of drought: slight, moderate, severe and very severe. The final drought vulnerability map was prepared by overlaying three criteria maps in the GIS and the final hazard classes were defined on the basis of hazard scores arrived at by using the geometric mean of the main indicators, deploying the new model. The final vulnerability map shows that moderate hazard areas (74% of the region) are much widespread than areas under severe hazard (26% of the region) which are observed in the northwest and eastern parts of the region.
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