当前位置: X-MOL 学术Environ. Impact Assess. Rev. › 论文详情
Transforming subsidence vulnerability indexing based on ALPRIFT into risk indexing using a new fuzzy-catastrophe scheme
Environmental Impact Assessment Review ( IF 3.749 ) Pub Date : 2020-02-17 , DOI: 10.1016/j.eiar.2019.106352
Sina Sadeghfam; Rahman Khatibi; Sorayya Dadashi; Ata Allah Nadiri

Poor anthropogenic activities give rise to declining water table in aquifers, which in turn induces land subsidence, an issue of concern to planning systems. Modelling subsidence depends on data and this paper considers impacts over plains with sparse data by building on the ALPRIFT framework, the acronym of 7 data layers, similar to DRASTIC. It uses a scoring system of prescribed rates in terms of physical variations and prescribed weights in terms relative importance of each data layer. The conceptual innovation on ALPRIFT by the paper includes its transformation from Vulnerability Indexing (VI) into Risk Indexing (RI) by discerning the data layers into 5 ALRIF and two PT data layers. These cater for Passive Vulnerability Indices (PVI) and Active Vulnerability Indices (AVI) respectively. Their additions are equivalent to ALPRIFT VI but their products lead to innovative RI capabilities. The paper presents the proof-of-concept for RI and learning its inherent weight values by using an innovative hybrid scheme of fuzzy logic and catastrophe theory. The case study of Marand plain provides a challenging case, where the data are sparse but the analysis of the results provides an insight into the study areas. Subsidence RI is readily applicable to any similar problems.
更新日期:2020-02-20

 

全部期刊列表>>
智控未来
聚焦商业经济政治法律
跟Nature、Science文章学绘图
控制与机器人
招募海内外科研人才,上自然官网
中洪博元
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
x-mol收录
南开大学
朱守非
廖良生
南方科技大学
西湖大学
伊利诺伊大学香槟分校
徐明华
中山大学化学工程与技术学院
试剂库存
天合科研
down
wechat
bug