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  3. Bioenvironmental Systems Engineering / 生物環境系統工程學系
  4. Using Landscape Metrics Analysis and Analytic Hierarchy Process to Assess Water Harvesting Potential Sites in Jordan
 
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Using Landscape Metrics Analysis and Analytic Hierarchy Process to Assess Water Harvesting Potential Sites in Jordan

Journal Issue
2
Pages
415
Date Issued
2015
Author(s)
Albalawneh, Abeer
TSUN-KUO CHANG  
Huang, Chun-Wei
Mazahreh, Safa
DOI
10.3390/environments2030415
URI
http://www.ae.ntu.edu.tw/per/writing_journal.php?Sn=1133
http://scholars.lib.ntu.edu.tw/handle/123456789/393485
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020088113&doi=10.3390%2fenvironments2030415&partnerID=40&md5=6a25c1fe185b76134c1911b07f6671af
Abstract
Jordan is characterized as a “water scarce” country. Therefore, conserving ecosystem services such as water regulation and soil retention is challenging. In Jordan, rainwater harvesting has been adapted to meet those challenges. However, the spatial composition and configuration features of a target landscape are rarely considered when selecting a rainwater-harvesting site. This study aimed to introduce landscape spatial features into the schemes for selecting a proper water-harvesting site. Landscape metrics analysis was used to quantify 10 metrics for three potential landscapes (i.e., Watershed 104 (WS 104), Watershed 59 (WS 59), and Watershed 108 (WS 108)) located in the Jordanian Badia region. Results of the metrics analysis showed that the three non–vegetative land cover types in the three landscapes were highly suitable for serving as rainwater harvesting sites. Furthermore, Analytic Hierarchy Process (AHP) was used to prioritize the fitness of the three target sites by comparing their landscape metrics. Results of AHP indicate that the non-vegetative land cover in the WS 104 landscape was the most suitable site for rainwater harvesting intervention, based on its dominance, connectivity, shape, and low degree of fragmentation. Our study advances the water harvesting network design by considering its landscape spatial pattern. ? 2015 by the authors; licensee MDPI, Basel, Switzerland.
Subjects
Analytic hierarchy process; Landscape metrics; Rainwater harvesting
SDGs

[SDGs]SDG6

[SDGs]SDG15

Type
journal article

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