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Open AccessArticle

Water Resources and Sustainability Assessment Based on Group AHP-PCA Method: A Case Study in the Jinsha River Basin

1
Key Lab Image Process & Intelligent Control, Huazhong University of Science & Technology, Wuhan 430074, China
2
School of Automation, Huazhong University of Science & Technology, Wuhan 430074, China
3
School of Civil Engineering & Mechanics, Huazhong University of Science & Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Water 2018, 10(12), 1880; https://doi.org/10.3390/w10121880
Received: 24 November 2018 / Revised: 13 December 2018 / Accepted: 15 December 2018 / Published: 19 December 2018
(This article belongs to the Section Water Resources Management and Governance)
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PDF [1277 KB, uploaded 19 December 2018]
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Abstract

There is a necessity to assess water resources sustainability for its development and management. However, achievements in water resources and sustainability assessment and specific assessment indicators are limited in current research. A comprehensive index system and the importance priorities of indicators are provided in this study. The group AHP-PCA (group analytic hierarchy process and principal component analysis) method is proposed to calculate the importance priorities and reduce the dispersion existing in traditional group AHP. A case study is conducted to assess the water resource sustainability of four provinces where the Jinsha River flows and the results are consistent with the experience and knowledge of water resources management and actual situations of these provinces. Further work is still needed for more applications. View Full-Text
Keywords: water resources and sustainability assessment; indicator importance; dispersions; Group AHP-PCA; Jinsha River basin water resources and sustainability assessment; indicator importance; dispersions; Group AHP-PCA; Jinsha River basin
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MDPI and ACS Style

Zhou, J.-L.; Xu, Q.-Q.; Zhang, X.-Y. Water Resources and Sustainability Assessment Based on Group AHP-PCA Method: A Case Study in the Jinsha River Basin. Water 2018, 10, 1880.

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