2019
DOI: 10.3390/su11205671
|View full text |Cite
|
Sign up to set email alerts
|

Influencing Indicators and Quantitative Assessment of Water Resources Security in Karst Region Based on PSER Model—The Case of Guizhou

Abstract: An important basis to achieve a sustainable balance between water availability and demand is effectively identifying the factors affecting water resource security and evaluating the effectiveness of existing water resource management measures. To reasonably evaluate water resource security in Guizhou Province, this study combined the water resource security features, selected the indicator system based on the Press–Status–Effect–Response (PSER) framework, and used Technique for Order Preference by Similarity t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
4
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 11 publications
(5 citation statements)
references
References 46 publications
(53 reference statements)
0
4
1
Order By: Relevance
“…life support ecosystem. On the other hand, the results of this study are not in line with the views of Zhou et al [27] and Mulyana and Prasojo 28] where the most important basis for achieving a sustainable balance between water supply and demand is to effectively identify the factors that affect the security of water resources and evaluate the effectiveness of water resources management measures. which exists.…”
Section: Discussioncontrasting
confidence: 99%
“…life support ecosystem. On the other hand, the results of this study are not in line with the views of Zhou et al [27] and Mulyana and Prasojo 28] where the most important basis for achieving a sustainable balance between water supply and demand is to effectively identify the factors that affect the security of water resources and evaluate the effectiveness of water resources management measures. which exists.…”
Section: Discussioncontrasting
confidence: 99%
“…Second, resource-based metrics give a more complicated picture of what waters are considered under the proposed metrics. However, we observe that the selection of indicators is underpinned by the need to understand freshwater availability or water resources security (e.g., Xiao, Li, Xiao, & Liu, 2008;Zhou, Su, & Zhang, 2019). Some use Falkenmark, Lundqvist, and Widstrand's (1989) water stress indicators (water availability measured in m 3 per capita per year) as a reference.…”
Section: Water Domainsmentioning
confidence: 99%
“…The WRCC evaluation methods also varied in previous research because of different interpretations and the development of new methods. The commonly used assessment models of WRCC include trend analysis (Qu & Fan, 2000), ecological footprint (Rees, 1992; Wang et al., 2013), fuzzy comprehensive evaluation method (Gong & Jin, 2009), the neural network model (Yu, Li, Yang, et al., 2020), the two‐dimensional model (Hu et al., 2022), the analytic hierarchy process (AHP) evaluation model (Bu et al., 2020), the improved TOPSIS model and Geographic spatiotemporal weighted model (Zhang & Dong, 2022), DPESBRM concept model and cloud model (Peng et al., 2021), system dynamics (Yang, Lei, et al., 2015; Zhou et al., 2019). Jin et al.…”
Section: Introductionmentioning
confidence: 99%