Fuzzy evaluation of ecological vulnerability based on the SRP-SES method and analysis of multiple decision-making attitudes based on OWA operators: A case of Fujian Province, China

Huang, Bowen; Zha, Ruibo; Chen, Shifa; Zhang, Xuan; Jiang, Xingshan

doi:10.1016/j.ecolind.2023.110432

Cited by 9 publications

(3 citation statements)

References 75 publications

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“…Table 2 shows the compatibility index values: In this study, the OWA method was used to model land suitability for the development of pistachio processing facilities in different scenarios. In past studies, this method was used in various applications such as potential of renewable energies [4,28], vulnerability and resilience [15,59], and modeling the physical growth of cities [60]. OWA is a multi-criteria integration operator developed by Yager [61].…”

Section: Criteria Weight Calculationmentioning

confidence: 99%

A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran

Ebrahimi Sirizi,

Taghavi Zirvani,

Esmailzadeh

et al. 2023

Sustainability

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Site selection and allocation of manufacturing and processing facilities are essential to sustainable economic productivity of a given product while preserving soil, the environment, and biodiversity. An essential criterion when evaluating various approaches to model land suitability for pistachio processing facilities is their adaptability to accommodate diverse perspectives and circumstances of managers and decision makers. Incorporating the concept of risk into the decision-making process stands as a significant research gap in modeling land suitability for pistachio processing facilities. This study presents a scenario-based multi-criteria decision-making system for modeling the land suitability of pistachio processing facilities. The model was implemented based on a stakeholder analysis as well as inclusion of a set of influential criteria and restrictions for an Iranian case study, which is among the top three producers. The weight of each criterion was determined based on the best-worst method (BWM) after the stakeholder analysis. Then, the ordered weighted averaging (OWA) model was used to prepare maps of spatial potential for building a pistachio processing factory in different decision-making scenarios, including very pessimistic, pessimistic, intermediate, optimistic, and very optimistic attitudes. Finally, the sensitivity analysis of very-high- and high-potential regions to changes in the weight of the effective criteria was evaluated and proved that the most important criteria were proximity to pistachio orchards, proximity to residential areas, proximity to the road network, and proximity to industrial areas. Overall, 327 km2 of the study area was classified as restricted, meaning that they are not suitable locations for pistachio processing. The average estimated potential values based on the proposed model for very pessimistic, pessimistic, intermediate, optimistic, and very optimistic scenarios were 0.19, 0.47, 0.63, 0.78, and 0.97, respectively. The very-high-potential class covered 0, 0.41, 8.25, 39.64, and 99.78 percent of the study area based on these scenarios, respectively. The area of suitable regions for investment decreased by increasing risk aversion in decision making. The model was more sensitive to changes in the weights of proximity to residential areas, proximity to pistachio orchards, and proximity to transportation hubs. The proposed approach and the achieved findings could be of broader use to respective stakeholders and investors. Given the suitability of arid regions for planting pistachio and its relatively high profitability, the local authorities and decision makers can promote further expansion of the orchards, which can lead to better welfare of farmers and reducing rural-urban migration in the region.

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Section: Criteria Weight Calculationmentioning

confidence: 99%

A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran

Ebrahimi Sirizi,

Taghavi Zirvani,

Esmailzadeh

et al. 2023

Sustainability

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“…Prior to becoming a crucial instrument in the analysis of global environmental change and sustainable development [5], vulnerability studies were initially used to examine the characteristics of disasters and poverty [6]. At present, the majority of academic research on vulnerability is based on provincial [7], municipal [8], regional [9,10], and other scales. Studies in this field explore the definition [11], analytical framework [12], comprehensive measurement and evaluation [13], and influencing factors [14] of vulnerability.…”

Section: Introductionmentioning

confidence: 99%

The vulnerability assessment and obstacle factor analysis of urban agglomeration along the Yellow River in China from the perspective of production-living-ecological space

Yang,

Meng,

Wang

et al. 2024

PLoS ONE

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Urban agglomerations are sophisticated territorial systems at the mature stage of city development that are concentrated areas of production and economic activity. Therefore, the study of vulnerability from the perspective of production-living-ecological space is crucial for the sustainable development of the Yellow River Basin and global urban agglomerations. The relationship between productivity, living conditions, and ecological spatial quality is fully considered in this research. By constructing a vulnerability evaluation index system based on the perspectives of production, ecology, and living space, and adopting the entropy value method, comprehensive vulnerability index model, and obstacle factor diagnostic model, the study comprehensively assesses the vulnerability of the urban agglomerations along the Yellow River from 2001 to 2020. The results reveal that the spatial differentiation characteristics of urban agglomeration vulnerability are significant. A clear three-level gradient distribution of high, medium, and low degrees is seen in the overall vulnerability; these correspond to the lower, middle, and upper reaches of the Yellow River Basin, respectively. The percentage of cities with higher and moderate levels of vulnerability did not vary from 2001 to 2020, while the percentage of cities with high levels of vulnerability did. The four dimensions of economic development, leisure and tourism, resource availability, and ecological pressure are the primary determinants of the urban agglomeration’s vulnerability along the Yellow River. And the vulnerability factors of various urban agglomerations showed a significant evolutionary trend; the obstacle degree values have declined, and the importance of tourism and leisure functions has gradually increased. Based on the above conclusions, we propose several suggestions to enhance the quality of urban development along the Yellow River urban agglomeration. Including formulating a three-level development strategy, paying attention to ecological and environmental protection, developing domestic and foreign trade, and properly planning and managing the tourism industry.

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“…For instance, analytic hierarchy process (AHP) is straightforward and practical for calculations, while principal component analysis (PCA) helps eliminate subjectivity in determining indicator weights. These methods have been widely utilized in ecological vulnerability assessments, leading to the creation of popular research models like the sensitivity-resilience-pressure (SRP) model (Sun et al, 2023;Huang et al, 2023;Zou et al,2021;Xu et al, 2024), the pressure-state-response (PSR) model (Jiang et al,2021;Xue et al, 2019;Zhang et al, 2017), and the exposure-sensitivity-adaptability (VSD) model (Cao et al al., 2022;Zhou et al, 2020). The SRP model, in particular, encompasses the essential components of ecological vulnerability and provides a comprehensive view.…”

Section: Introductionmentioning

confidence: 99%

Ecological Geological Vulnerability Assessment in Northern Shanxi Province Based on SRP Model

CAI,

GUO,

LIU

et al. 2024

Preprint

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Assessing ecological geological vulnerability is crucial for the protection and restoration of regional ecological environments. Considering the strategic ecological importance of Northern Shanxi Province, this study undertakes a thorough regional ecological geological vulnerability assessment, aiming to devise specific countermeasures and generate insightful research contributions. This methodology guides ecological environment evaluations and restorations in Northern Shanxi Province and similar Northwestern Chinese regions. Centering on Northern Shanxi Province, the study utilizes the Sensitivity-Resilience-Pressure (SRP) model to meticulously select 11 indicators, encompassing slope, soil erosion intensity, and the Enhanced Vegetation Indicator (EVI). The study employs analytical methods such as analytic hierarchy process (AHP) and principal component analysis (PCA) to perform the ecological geological vulnerability assessment. The study results show that the ecological geological vulnerability comprehensive indicator (EGVCI) for Northern Shanxi Province is approximately 3.97. Regions with the moderate to extreme vulnerability represent about 23.7% of the total area, mainly distributed in the basin-mountain transition zones and the western low-mountain areas, with the primary ecological geological issues of environmental problems caused by open-pit mining activities, soil erosion, land salinization. Ecological geological vulnerability in Northern Shanxi Province primarily resides at a mild level. The driving factors of the vulnerability are soil erosion intensity, mineral exploitation intensity, water conservation capacity, land use type, slope, and the Enhanced Vegetation Indicator (EVI).

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Fuzzy evaluation of ecological vulnerability based on the SRP-SES method and analysis of multiple decision-making attitudes based on OWA operators: A case of Fujian Province, China

Cited by 9 publications

References 75 publications

A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran

A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran

The vulnerability assessment and obstacle factor analysis of urban agglomeration along the Yellow River in China from the perspective of production-living-ecological space

Ecological Geological Vulnerability Assessment in Northern Shanxi Province Based on SRP Model

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