Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran

The main aim of monitoring wells is to assess the conditions of groundwater quality in the aquifer system. An inappropriate distribution of sampling wells could produce insufficient or redundant data concerning groundwater quality. An optimal selection of representative monitoring well locations can...

Full description

Saved in:
Bibliographic Details
Main Authors: Sheikhy Narany, Tahoora, Ramli, Mohammad Firuz, Aris, Ahmad Zaharin, Sulaiman, Wan Nor Azmin, Fakharian, Kazem
Format: Article
Language:English
Published: MDPI 2014
Online Access:http://psasir.upm.edu.my/id/eprint/35426/1/Spatial%20Assessment%20of%20Groundwater%20Quality%20Monitoring%20Wells.pdf
http://psasir.upm.edu.my/id/eprint/35426/
http://www.mdpi.com/2073-4441/6/1/68
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English
id my.upm.eprints.35426
record_format eprints
spelling my.upm.eprints.354262016-01-11T01:39:07Z http://psasir.upm.edu.my/id/eprint/35426/ Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran Sheikhy Narany, Tahoora Ramli, Mohammad Firuz Aris, Ahmad Zaharin Sulaiman, Wan Nor Azmin Fakharian, Kazem The main aim of monitoring wells is to assess the conditions of groundwater quality in the aquifer system. An inappropriate distribution of sampling wells could produce insufficient or redundant data concerning groundwater quality. An optimal selection of representative monitoring well locations can be obtained by considering the natural and anthropogenic potential of pollution sources; the hydrogeological setting; and assessment of any existing data regarding monitoring networks. The main objective of this paper was to develop a new approach to identifying areas with a high risk of nitrate pollution for the Amol-Babol Plain, Iran. The indicator kriging method was applied to identify regions with a high probability of nitrate contamination using data obtained from 147 monitoring wells. The US-EPA DRASTIC method was then used in a GIS environment to assess groundwater vulnerability to nitrate contamination, and combined with data concerning the distribution of sources to produce a risk map. In the study area, around 3% of the total area has a strong probability of exceeding the nitrate threshold and a high–moderate risk of pollution, but is not covered adequately by sampling wells. However, the number of monitoring wells could be reduced in most parts of the study area to minimize redundant data and the cost of monitoring. MDPI 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/35426/1/Spatial%20Assessment%20of%20Groundwater%20Quality%20Monitoring%20Wells.pdf Sheikhy Narany, Tahoora and Ramli, Mohammad Firuz and Aris, Ahmad Zaharin and Sulaiman, Wan Nor Azmin and Fakharian, Kazem (2014) Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran. Water, 6 (1). pp. 68-85. ISSN 2073-4441; ESSN: 2073-4441 http://www.mdpi.com/2073-4441/6/1/68 10.3390/w6010068
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The main aim of monitoring wells is to assess the conditions of groundwater quality in the aquifer system. An inappropriate distribution of sampling wells could produce insufficient or redundant data concerning groundwater quality. An optimal selection of representative monitoring well locations can be obtained by considering the natural and anthropogenic potential of pollution sources; the hydrogeological setting; and assessment of any existing data regarding monitoring networks. The main objective of this paper was to develop a new approach to identifying areas with a high risk of nitrate pollution for the Amol-Babol Plain, Iran. The indicator kriging method was applied to identify regions with a high probability of nitrate contamination using data obtained from 147 monitoring wells. The US-EPA DRASTIC method was then used in a GIS environment to assess groundwater vulnerability to nitrate contamination, and combined with data concerning the distribution of sources to produce a risk map. In the study area, around 3% of the total area has a strong probability of exceeding the nitrate threshold and a high–moderate risk of pollution, but is not covered adequately by sampling wells. However, the number of monitoring wells could be reduced in most parts of the study area to minimize redundant data and the cost of monitoring.
format Article
author Sheikhy Narany, Tahoora
Ramli, Mohammad Firuz
Aris, Ahmad Zaharin
Sulaiman, Wan Nor Azmin
Fakharian, Kazem
spellingShingle Sheikhy Narany, Tahoora
Ramli, Mohammad Firuz
Aris, Ahmad Zaharin
Sulaiman, Wan Nor Azmin
Fakharian, Kazem
Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran
author_facet Sheikhy Narany, Tahoora
Ramli, Mohammad Firuz
Aris, Ahmad Zaharin
Sulaiman, Wan Nor Azmin
Fakharian, Kazem
author_sort Sheikhy Narany, Tahoora
title Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran
title_short Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran
title_full Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran
title_fullStr Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran
title_full_unstemmed Spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, Amol-Babol Plain, Iran
title_sort spatial assessment of groundwater quality monitoring wells using indicator kriging and risk mapping, amol-babol plain, iran
publisher MDPI
publishDate 2014
url http://psasir.upm.edu.my/id/eprint/35426/1/Spatial%20Assessment%20of%20Groundwater%20Quality%20Monitoring%20Wells.pdf
http://psasir.upm.edu.my/id/eprint/35426/
http://www.mdpi.com/2073-4441/6/1/68
_version_ 1643831450227703808