Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

A Probabilistic Approach to Assess the Risk of Groundwater Quality Degradation

Chapter
Publication Date:
2022
abstract:
In environmental sciences, the risk assessment methods focus on the most reliable techniques to quantify vulnerability and hazard, being the former defined as functionally related to the latter independent variables. With regard to groundwater systems, this chapter explores the possibility of assessing directly the environmental risk as a probability, avoiding to evaluate each of its components. Environmental risk is intended here as the probability of groundwater (i.e., the vulnerable natural system) quality degradation due to the uncontrolled spreading of nutrients on soils in agriculture (i.e., the hazardous event). Risk is formally defined as the probability of exceeding given thresholds of nitrate concentration, conditioned by values sampled within the considered groundwater system. Then, a probabilistic methodology is proposed, based on geostatistical, non-parametric, stochastic simulation, to estimate and spatialize such a risk. Finally, the methodology has been applied to the shallow aquifer of the "Tavoliere di Puglia" plain, located in Apulia, Southern Italy, and characterized by intense agricultural activities and civil facilities.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
groundwater; groundwater quality; risk assessment
List of contributors:
Castrignano', Annamaria; Passarella, Giuseppe; Maggi, Sabino; Masciale, Rita; Vurro, Michele
Authors of the University:
MAGGI SABINO
MASCIALE RITA
PASSARELLA GIUSEPPE
Handle:
https://iris.cnr.it/handle/20.500.14243/460733
  • Overview

Overview

URL

https://doi.org/10.1007/978-3-030-71377-5_20
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)