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A Combined AHP- and TOPSIS-Based Approach in the Assessment of Desertification Disaster Risk
Environmental Modeling & Assessment ( IF 2.4 ) Pub Date : 2019-07-29 , DOI: 10.1007/s10666-019-09676-8
Sara Pishyar , Hassan Khosravi , Ali Tavili , Arash Malekian , Sima Sabourirad

In this study, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchy Process (AHP) methods were used to determine, prioritize, and assess the most effective desertification indices. A list of 32 influential indices was identified using existing literature in Iran and around the globe through questionnaires. Criteria for evaluating indices were weighted using Shannon entropy, and then TOPSIS ranking method was applied to determine the most effective desertification assessment to deal with this issue in Kashan region, Isfahan province. Indices were weighed and prioritized by analytics hierarchy process. Finally, the Mediterranean Desertification and Land Use (MEDALUS) model was used to assess the intensity and develop a desertification risk map. The results asserted that sensitivity to minor changes with a weight of 0.341 has the highest importance, while time and cost with a weight of 0.11 has the least importance for the evaluation of indices. Among the 32 ranked indices, 20 of which were identified as the most effectual indices including annual precipitation, salinity, and vegetation, to name a few. The results also showed that the land use change index with a weight of 0.217 and annual rainfall with a weight of 0.166 have the highest priority among human and natural indices that should be prioritized in managing and controlling desertification. The average weight of quantitative desertification intensity for the whole area was 1.391 placed in critical (1) class of desertification. Among the six considered desertification criteria, the climate and the destruction of water resources were the most important criteria.



中文翻译:

基于AHP和TOPSIS的组合方法在荒漠化灾害风险评估中

在这项研究中,采用了与理想溶液相似的优先顺序技术(TOPSIS)和层次分析法(AHP)方法来确定,确定优先次序和评估最有效的荒漠化指数。通过调查问卷,利用伊朗和全球现有文献确定了32种有影响力的指数。使用Shannon熵对评估指标的权重进行加权,然后使用TOPSIS排序方法确定最有效的荒漠化评估,以解决伊斯法罕省喀山地区的这一问题。通过分析层次结构过程对指标进行权衡并确定优先级。最后,使用了地中海荒漠化和土地利用(MEDALUS)模型来评估强度并制定荒漠化风险图。结果表明,权重为0.341时,对微小变化的敏感度最高,而权重为0.11时,时间和成本对指标评估的重要性最低。在这32个排名指数中,其中20个被认为是最有效的指数,包括年降水量,盐度和植被等。结果还表明,在人为和自然指标中,权重为0.217的土地利用变化指数和权重为0.166的年降雨量在管理和控制荒漠化方面应优先考虑。整个地区的定量荒漠化强度平均权重为1.391,列为严重(1)荒漠化类别。在考虑的六项荒漠化标准中,

更新日期:2020-04-23
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