A modified SINTACS method for groundwater vulnerability and pollution risk assessment in highly anthropized regions based on NO3− and SO42− concentrations-Reference-Cited by-同舟云学术

A modified SINTACS method for groundwater vulnerability and pollution risk assessment in highly anthropized regions based on NO3− and SO42− concentrations

Published:2017-12 Issue: Volume:609 Page:1512-1523
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Busico Gianluigi,Kazakis Nerantzis^ORCID,Colombani Nicolò,Mastrocicco Micòl,Voudouris Konstantinos,Tedesco Dario

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference52 articles.

1. Crop Evapotranspiration – Guidelines for Computing Crop Water Requirements;Allen,1998

2. DRASTIC: A Standardized System for Evaluating Groundwater Pollution Potential Using Hydrogeological Setting;Aller,1987

3. Carta Idrogeologica dell'Italia Meridionale;Allocca,2007

4. Assessment and management of long-term nitrate pollution of ground water in agriculture-dominated watersheds;Almasri;J. Hydrol.,2004

5. Late Quaternary incision and deposition in an active volcanic setting: the Volturno valley fill, southern Italy;Amorosi;Sediment. Geol.,2012

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