Incorporating local researchers′ and decision makers′ preferences for groundwater resources management in a spatial multi-voiced decision model

Lima, María Lourdes; Barilari, Agustina; Massone, Héctor; Pascual, Monica

doi:10.1016/j.jenvman.2021.113954

Cited by 8 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It can be also noted that, in the majority of cases (31 papers), the MCDA had been applied in a multi-methodological framework. GIS [65][66][67][68][69] GIS + Simple Multi-Attribute Rating Technique (SMART) [41] GIS + priority scale [70] Entropy method [71] F-TOPSIS [72] Index of geoaccumulation (Igeo) [73] LCA [7,11,14,40,74] Uncertainty Measurement Evaluation (UME) [75] Fuzzy AHP - [76] Remote sensing + GIS [ LCA [91] System Dynamics Model (SDM) + cost-benefit-risk tradeoff analysis [92] VIKOR - [93] Weighted sum method - [13,31,94] Unspecified MCDA - [95] Artificial Neural Network (ANN) + GIS [96] Pearson correlation coefficients + Montecarlo analysis [35] Strategic Environmental Assessment (SEA) + GIS [27]…”

Section: Applied Mcdas and Multi-methodologiesmentioning

confidence: 99%

“…MCDAs enable all pillars of sustainability to be covered [15,29,35] and, at the same time, to consider the relationships between different aspects, whereby maximizing one benefit may, for example, lead to the reduction of another [9]. Moreover, by integrating participants' preferences with clear measures [41], they allow an understanding of the inputs that lead to a particular outcome to be incorporated into the process.…”

Section: Multi-criteria Approaches To the Sustainability Assessment O...mentioning

confidence: 99%

See 1 more Smart Citation

Multi-Criteria Decision Analysis to Evaluate Sustainability and Circularity in Agricultural Waste Management

Lombardi,

Todella

2023

Sustainability

View full text Add to dashboard Cite

Agriculture is a major contributor to global anthropogenic emissions, such as waste production and greenhouse gases. In order to reduce these negative impacts, a circular economy should be applied to agriculture waste management. Processes for evaluating treatment and valorization options are fundamental to the implementation of long-term, economically viable, ecologically sound, and socially acceptable policies and practices. In this field, multi-criteria decision analysis methods (MCDAs) can offer a holistic perspective on the decision-making processes. This study deeply explores this area of research by conducting an extensive and critical review of the studies that have used MCDA approaches to support agricultural waste management. The aim is to better understand how MCDA methods have been applied (in an integrated manner or as complementary approaches) and how stakeholders have been involved. The research conducted underlines how MCDAs are now widely used to support decision-making in this area, as well as being increasingly applied in multi-methodologies. This study is part of an ongoing Next-Generation-EU-integrated, large-scale, multi-disciplinary research program, The National Research Centre for Agricultural Technologies.

show abstract

Section: Applied Mcdas and Multi-methodologiesmentioning

confidence: 99%

Section: Multi-criteria Approaches To the Sustainability Assessment O...mentioning

confidence: 99%

Multi-Criteria Decision Analysis to Evaluate Sustainability and Circularity in Agricultural Waste Management

Lombardi,

Todella

2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…Water is an important natural resource and a material basis for the socio‐economic development of a country or region (Peng & Deng, 2020; Wang, Xiao, et al, 2021; Wang, Xu, et al, 2021; Zhang, Jin, & Yu, 2018; Zhang, Hu, et al, 2018). With groundwater being an important resource restricted by natural conditions such as climate, topography, and geological environment, current water resource management strategies focus on its full and reasonable development and utilization to alleviate the shortage of water resources (Coyte et al, 2018; Gleeson et al, 2020; Lima et al, 2022; Wang et al, 2020). With more than 7300 islands measuring over 500 m 2 in area, China has the most islands in the world (Lei & Sui, 2022).…”

Section: Introductionmentioning

confidence: 99%

Groundwater potential mapping based on long time series remote sensing data in Penghu Islands, China

Cheng

Cui

Wang

et al. 2022

Geoscience Data Journal

View full text Add to dashboard Cite

Islands are special bodies of land surrounded by seawater. Many islands are facing water shortages as the demand for groundwater increases, thus, highlighting the importance and urgency of the assessment, planning, and management of island groundwater resources. To facilitate the same, the groundwater potential of the Penghu Islands in China was assessed for the first time using remote sensing (RS), geographic information system (GIS), and the analytic hierarchy process (AHP). Long‐term series remote sensing studies were also conducted to monitor the dynamic change in groundwater potential and to identify groundwater potential areas. In this study, the geological environment factors were normalized, and their weight was allocated based on the AHP of RS and GIS. The groundwater potential assessment (GPA) index, established using the weighted comprehensive algorithm, was used to analyse groundwater potential and demarcate groundwater potential zones. Finally, the trend in the spatio‐temporal variation of groundwater potential was analysed using long‐term series remote sensing data. The results from 2015 to 2021 showed that the Penghu Islands can be divided into five groundwater potential zones of different grades, such as 6.3%–8.1% of grade I, 22.2%–24.2% of grade II, 23%–24.4% of grade III, 19.6%–21% of grade IV, and 25.1%–25.5% of grade V. The results of the GPA were verified by comparing them with the abundance of water‐content rock formation in hydrogeologic maps, which yielded correlation coefficients of 78.3%–88.9%. Overall, the groundwater potential zones of different grades in the study area tended to be stable all year‐round, including the zones of grades I and II. The results of this study highlighted the reliability of predicting groundwater potential based on long‐term series remote sensing data and its usability to local personnel in appropriate groundwater resource planning and management.

show abstract

Analysis of sustainable water resource management and driving mechanism in arid region: a case study of Xinjiang, China, from 2005 to 2020

Yang,

Zheng,

Han

et al. 2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

Incorporating local researchers′ and decision makers′ preferences for groundwater resources management in a spatial multi-voiced decision model

Cited by 8 publications

References 16 publications

Multi-Criteria Decision Analysis to Evaluate Sustainability and Circularity in Agricultural Waste Management

Multi-Criteria Decision Analysis to Evaluate Sustainability and Circularity in Agricultural Waste Management

Groundwater potential mapping based on long time series remote sensing data in Penghu Islands, China

Analysis of sustainable water resource management and driving mechanism in arid region: a case study of Xinjiang, China, from 2005 to 2020

Contact Info

Product

Resources

About