Probabilistic indicators for soil and groundwater contamination risk assessment

Abstract

Deterministic assessments of whether, when, and where environmental safety thresholds are exceeded by pollutants are often unreliable due to uncertainty stemming from incomplete knowledge of the properties of environmental systems and limited sampling. We present a global sensitivity analysis to rank the contribution of uncertain parameters to the probability, P, of a target quantity to exceed user-defined environmental safety thresholds. To this end, we propose a new index (AMAP) which quantifies the impact of a parameter on P and can be readily employed in probabilistic risk assessment. We apply AMAP, along with existing moment-based sensitivity indices, to quantify

Development of Rural Ecotourism on the Yurshinsky Island of Rybinsk Reservoir

“…The general content of a toxic element of arsic (3.5-4.0 mg/kg) is also much lower than maximum limit allowed for Russian soils (TPC 5.0 mg/kg). The total content of lead on Plot 2 (32.2 mg/kg) corresponds to maximum limit allowed level (32 mg/kg), and other Plots -below maximum limit allowed (5.3-19.2 mg \kg) [13][14].…”

Recent Progress and Prospects in Catalytic Water Treatment

“…Aquifer contamination following herbicide glyphosate has also been considered, quantifying the sensitivity of soil and aquifer to this contamination 581 . Target quantities evaluate its toxic metabolite amino-methyl-phosphonic acid concentrations in the top soil as well as their leaching below the root zone taking as parameters, absolute permeability, air-entry suction, and porosity.…”

Sensitivity Analysis and Quantification of the Role of Governing Transport Mechanisms and Parameters in a Gas Flow Model for Low-Permeability Porous Media

“…As such, this comprehensive approach yields information enabling us to characterize various aspects of uncertainty, without being limited solely to the concept of variance. The ensuing indices (termed AMA indices, after the initials of the authors (Dell'Oca et al 2017)) have been effectively employed in a variety of contexts, including geophysical analyses related to gravimetric responses due to pumping tests (Maina et al 2021), biochemical degradation of compounds such as glyphosate in soils (la Cecilia et al 2020), and groundwater flow, including its feedbacks with evapotranspiration (Bianchi Janetti et al 2019;Maina and Siirila-Woodburn 2020).…”