作者: Sina Sadeghfam , Ali Ehsanitabar , Rahman Khatibi , Rasoul Daneshfaraz
DOI: 10.1016/J.ECOLIND.2018.06.055
关键词: Groundwater recharge 、 Operational system 、 Decision support system 、 Statistics 、 Reliability (statistics) 、 Environmental science 、 Sparse matrix 、 Groundwater 、 Interpolation 、 Hazard (logic)
摘要: Abstract A novel methodology is introduced for the spatial indexing of groundwater drought ‘risks’ (GDRs). It combines reliability analysis and standardised water-level index (SWI), which readily applicable to areas with sparse data on depth (GWD) measurements. In analysis, GWDs are reformulated in terms load, accounts external effects, e.g. withdrawals recharge, as well resistance, system capacity regard intensities (mild, moderate, severe extreme). Reliability formulates a procedure by using loads resistance formulate performance function, can be treated statistical techniques, thereby derives values GDR, defined failure an operational but without considering consequences. GDRs at observation wells spatially distributed interpolation technique. The allows estimating time variability GDR derive environmental/ecological hazard indicator (EHI), serve management planning predicting drought. Graphical User Interface (GDR V.1.0) developed decision support EHI values.