Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq

Currently, desertification is a major problem in the western desert of Iraq. The harsh nature, remoteness, and size of the desert make it difficult and expensive to monitor and mitigate desertification. Therefore, this study proposed a comprehensive and cost-effective method, via the integration of...

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Published in:Advances in Civil Engineering
Main Author: Sayl K.N.; Sulaiman S.O.; Kamel A.H.; Muhammad N.S.; Abdullah J.; Al-Ansari N.
Format: Article
Language:English
Published: Hindawi Limited 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109461902&doi=10.1155%2f2021%2f5580286&partnerID=40&md5=5784662e5d5053eed4a00c3ca686e2e7
id 2-s2.0-85109461902
spelling 2-s2.0-85109461902
Sayl K.N.; Sulaiman S.O.; Kamel A.H.; Muhammad N.S.; Abdullah J.; Al-Ansari N.
Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
2021
Advances in Civil Engineering
2021

10.1155/2021/5580286
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109461902&doi=10.1155%2f2021%2f5580286&partnerID=40&md5=5784662e5d5053eed4a00c3ca686e2e7
Currently, desertification is a major problem in the western desert of Iraq. The harsh nature, remoteness, and size of the desert make it difficult and expensive to monitor and mitigate desertification. Therefore, this study proposed a comprehensive and cost-effective method, via the integration of geographic information systems (GISs) and remote sensing (RS) techniques to estimate the potential risk of desertification, to identify the most vulnerable areas and determine the most appropriate sites for rainwater conservation. Two indices, namely, the Normalized Differential Vegetation Index (NDVI) and Land Degradation Index (LDI), were used for a cadastral assessment of land degradation. The findings of the combined rainwater harvesting appropriateness map, and the maps of NDVI and LDI changes found that 65% of highly suitable land for rainwater harvesting lies in the large change and 35% lies in the small change of NDVI, and 85% of highly suitable land lies in areas with a moderate change and 12% lies in strong change of LDI. The adoption of the weighted linear combination (WLC) and Boolean methods within the GIS environment, and the analysis of NDVI with LDI changes can allow hydrologists, decision-makers, and planners to quickly determine and minimize the risk of desertification and to prioritize the determination of suitable sites for rainwater harvesting. © 2021 Khamis Naba Sayl et al.
Hindawi Limited
16878086
English
Article
All Open Access; Gold Open Access
author Sayl K.N.; Sulaiman S.O.; Kamel A.H.; Muhammad N.S.; Abdullah J.; Al-Ansari N.
spellingShingle Sayl K.N.; Sulaiman S.O.; Kamel A.H.; Muhammad N.S.; Abdullah J.; Al-Ansari N.
Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
author_facet Sayl K.N.; Sulaiman S.O.; Kamel A.H.; Muhammad N.S.; Abdullah J.; Al-Ansari N.
author_sort Sayl K.N.; Sulaiman S.O.; Kamel A.H.; Muhammad N.S.; Abdullah J.; Al-Ansari N.
title Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
title_short Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
title_full Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
title_fullStr Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
title_full_unstemmed Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
title_sort Minimizing the Impacts of Desertification in an Arid Region: A Case Study of the West Desert of Iraq
publishDate 2021
container_title Advances in Civil Engineering
container_volume 2021
container_issue
doi_str_mv 10.1155/2021/5580286
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85109461902&doi=10.1155%2f2021%2f5580286&partnerID=40&md5=5784662e5d5053eed4a00c3ca686e2e7
description Currently, desertification is a major problem in the western desert of Iraq. The harsh nature, remoteness, and size of the desert make it difficult and expensive to monitor and mitigate desertification. Therefore, this study proposed a comprehensive and cost-effective method, via the integration of geographic information systems (GISs) and remote sensing (RS) techniques to estimate the potential risk of desertification, to identify the most vulnerable areas and determine the most appropriate sites for rainwater conservation. Two indices, namely, the Normalized Differential Vegetation Index (NDVI) and Land Degradation Index (LDI), were used for a cadastral assessment of land degradation. The findings of the combined rainwater harvesting appropriateness map, and the maps of NDVI and LDI changes found that 65% of highly suitable land for rainwater harvesting lies in the large change and 35% lies in the small change of NDVI, and 85% of highly suitable land lies in areas with a moderate change and 12% lies in strong change of LDI. The adoption of the weighted linear combination (WLC) and Boolean methods within the GIS environment, and the analysis of NDVI with LDI changes can allow hydrologists, decision-makers, and planners to quickly determine and minimize the risk of desertification and to prioritize the determination of suitable sites for rainwater harvesting. © 2021 Khamis Naba Sayl et al.
publisher Hindawi Limited
issn 16878086
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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