Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field

Petroleum hydrocarbons and waste streams have polluted the environment, harmed human health, affected socioeconomic conditions, and impacted communities in oil-producing countries. The aim of the study is to identify hotspots of contaminated water, create spatial risk maps of pollution from the pe...

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Main Authors: Nurul Shahzira Hazri, Sahriah Basri, Azran Mohd Zainoodin, Siti Kartom Kamarudin
Format: Article
Language:en
Published: Penerbit Universiti Kebangsaan Malaysia 2025
Online Access:http://journalarticle.ukm.my/26768/1/18.pdf
http://journalarticle.ukm.my/26768/
https://www.ukm.my/jkukm/volume-3701-2025/
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author Nurul Shahzira Hazri,
Sahriah Basri,
Azran Mohd Zainoodin,
Siti Kartom Kamarudin,
author_facet Nurul Shahzira Hazri,
Sahriah Basri,
Azran Mohd Zainoodin,
Siti Kartom Kamarudin,
author_sort Nurul Shahzira Hazri,
building Tun Sri Lanang Library
collection Institutional Repository
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
continent Asia
country Malaysia
description Petroleum hydrocarbons and waste streams have polluted the environment, harmed human health, affected socioeconomic conditions, and impacted communities in oil-producing countries. The aim of the study is to identify hotspots of contaminated water, create spatial risk maps of pollution from the petroleum industry and develop a novel index to estimate ecosystem pollution named physico-chemical risk index (PRI). Ten sites in the Al-Gharraf oil fi eld were analyzed for their water quality. The highest results of the six-month sample analysis were PH (8.7), DO (11.5 mg/L), turbidity (70.3 NTU), temperature (34 C), BOD5 (37.8 mg/L), COD (101 mg/L) and TSS (109 mg/L). To achieve the above objectives, different methods and techniques were used; one of them is inverse distance weighting (IDW) with GIS to create geographical maps of the measured parameters. The IDW method was used to accurately map the distribution of ecosystem parameters of the oil fi eld. The PRI was performed to compare the threshold values for pollutant elements with the contamination of the site. The threshold value for contaminated water in Garraf oil field is 24.328 and is determined by the PRI index. The analysis is carried out at regular intervals and compared with the threshold values. This work has created an important database for the oil industry that should be used to monitor ecosystems.
format Article
id my-ukm.journal.26768
institution Universiti Kebangsaan Malaysia
language en
publishDate 2025
publisher Penerbit Universiti Kebangsaan Malaysia
record_format eprints
spelling my-ukm.journal.267682026-03-16T04:37:22Z http://journalarticle.ukm.my/26768/ Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field Nurul Shahzira Hazri, Sahriah Basri, Azran Mohd Zainoodin, Siti Kartom Kamarudin, Petroleum hydrocarbons and waste streams have polluted the environment, harmed human health, affected socioeconomic conditions, and impacted communities in oil-producing countries. The aim of the study is to identify hotspots of contaminated water, create spatial risk maps of pollution from the petroleum industry and develop a novel index to estimate ecosystem pollution named physico-chemical risk index (PRI). Ten sites in the Al-Gharraf oil fi eld were analyzed for their water quality. The highest results of the six-month sample analysis were PH (8.7), DO (11.5 mg/L), turbidity (70.3 NTU), temperature (34 C), BOD5 (37.8 mg/L), COD (101 mg/L) and TSS (109 mg/L). To achieve the above objectives, different methods and techniques were used; one of them is inverse distance weighting (IDW) with GIS to create geographical maps of the measured parameters. The IDW method was used to accurately map the distribution of ecosystem parameters of the oil fi eld. The PRI was performed to compare the threshold values for pollutant elements with the contamination of the site. The threshold value for contaminated water in Garraf oil field is 24.328 and is determined by the PRI index. The analysis is carried out at regular intervals and compared with the threshold values. This work has created an important database for the oil industry that should be used to monitor ecosystems. Penerbit Universiti Kebangsaan Malaysia 2025 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/26768/1/18.pdf Nurul Shahzira Hazri, and Sahriah Basri, and Azran Mohd Zainoodin, and Siti Kartom Kamarudin, (2025) Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field. Jurnal Kejuruteraan, 37 (1). pp. 271-285. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3701-2025/
spellingShingle Nurul Shahzira Hazri,
Sahriah Basri,
Azran Mohd Zainoodin,
Siti Kartom Kamarudin,
Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field
title Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field
title_full Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field
title_fullStr Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field
title_full_unstemmed Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field
title_short Improved GIS Techniques and a Novel Physico-Chemical Risk Index for Surface Water Quality Assessment: A Case Study of the Al-Garraf Oil Field
title_sort improved gis techniques and a novel physico-chemical risk index for surface water quality assessment: a case study of the al-garraf oil field
url http://journalarticle.ukm.my/26768/1/18.pdf
http://journalarticle.ukm.my/26768/
https://www.ukm.my/jkukm/volume-3701-2025/
url_provider http://journalarticle.ukm.my/