مشخصات پژوهش

صفحه نخست /Quantifying the groundwater ...
عنوان Quantifying the groundwater total contamination risk using an inclusive multi-level modelling strategy
نوع پژوهش مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها Integrated risk index, Multiple contaminants, Vulnerability indexing Anthropogenci/geogenic, Multi-level modelling
چکیده This paper investigates aggregated risks in aquifers, where risk exposures may originate from different contaminants e.g. nitrate-N (NO3–N), arsenic (As), boron (B), fluoride (F), and aluminium (Al). The main goal is to develop a new concept for the total risk problem under sparse data as an efficient planning tool for management through the following methodology: (i) mapping aquifer vulnerability by DRASTIC and SPECTR frameworks; (ii) mapping risk indices to anthropogenic and geogenic contaminants by unsupervised methods; (iii) improving the anthropogenic and geogenic risks by a multi-level modelling strategy at three levels: Level 1 includes Artificial Neural Networks (ANN) and Support Vector Machines (SVM) models, Level 2 combines the outputs of Level 1 by unsupervised Entropy Model Averaging (EMA), and Level 3 integrates the risk maps of various contaminants (nitrate-N, arsenic, boron, fluoride, and aluminium) modelled at Level 2. The methodology offers new data layers to transform vulnerability indices into risk indices and thereby integrates risks by a heuristic scheme but without any learning as no measured values are available for the integrated risk. The results reveal that the risk indexing methodology is fit-for-purpose. According to the integrated risk map, there are hotspots at the study area and exposed to a number of contaminants (nitrate-N, arsenic, boron, fluoride, and aluminium).
پژوهشگران مریم قره خوانی (نفر اول)، عطاالله ندیری (نفر دوم)، رحمان خطیبی (نفر سوم)، محمدرضا نیکو (نفر چهارم)، رحیم برزگر (نفر پنجم)، اصغر اصغری مقدم (نفر ششم به بعد)، سینا صادق فام (نفر ششم به بعد)