『Abstract
The paper describes the methodological and innovative approach,
which aims to evaluate the potential risk of nitrate pollution
in aquifers from agricultural practices by combining intrinsic
aquifer vulnerability to contamination, according to the SINTACS
R5 method, with agricultural nitrates hazard assessment, according
to the IPNOA index. The proposed parametric model adopts a geographically
based integrated evaluation system, comprising qualitative and
semi-quantitative indicators. In some cases, the authors have
modified this model, revising and adjusting scores and weights
of the parameter to account for the different environmental conditions,
and calibrating accordingly. The method has been successfully
implemented and validated in the pilot area of the Alghero coastal
plain (northwestern Sardinia, Italy) where aquifers with high
productivity are present. The classes with a major score (high
potential risk) are in the central part of the plain, in correspondence
with the most productive aquifers, where most actual or potential
pollution sources are concentrated. These are mainly represented
by intensive agricultural activities, by industrial agglomerate
and diffused urbanisation. For calibrating the model and optimizing
and/or weighting the examined factors, the modelling results were
validated by comparison with groundwater quality data, in particular
nitrate content, and with the potential pollution sources census
data. The parametric method is a popular approach to groundwater
vulnerability assessment, in contrast to groundwater flow model
and statistical method ones: it is, indeed, relatively inexpensive
and straightforward, and use data commonly available or that can
be estimated. The zoning of nitrate vulnerable areas provides
regional authorities with a useful decision support tool for planning
land-use properly managing groundwater and combating and/or mitigating
desertification processes. However, a careful validation of the
results is indispensable for reliable application.
Keywords: Groundwater vulnerability; Nitrate; Hazard; Risk; Sardinia-Italy;
Desertification』
Introduction
Study area
Materials and methods
IPNOA parametric model (agricultural nitrates hazard index)
Hazard factors - mineral fertilizers
Hazard factors - organic fertilizers
Hazard factors - sludge
Control factors - soil nitrogen content
Control factors - climate
Control factors - agronomic practices
Control factors - irrigation
Agricultural nitrates hazard index
Aquifer intrinsic vulnerability to contamination
Potential risks of nitrate pollution in aquifers from agricultural
practices
Results and discussion
Agricultural nitrates hazard index
Potential risks of nitrate pollution in aquifers from agricultural
practices
Model validation
Conclusions
Acknowledgments
References