MCDA approach for agricultural water management in the context of water–energy–land–food nexus

Psomas, Alexander; Vryzidis, Isaak; Spyridakos, Athanasios; Mimikou, Maria

doi:10.1007/s12351-018-0436-8

Cited by 23 publications

(15 citation statements)

References 60 publications

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“…In academia, it is also possible to identify the use of the DPSIR framework in different approaches: in the integrated management of water resources in coastal zones [5,6], mobility and growth of urban populations [7], in the management of surface and groundwater [8][9][10], as a tool to support decision processes [11,12], to assess the impacts of climate change [13,14], to assess issues related to sustainable development [15,16], and for the development of environmental indicators [17][18][19].…”

Section: Of 17mentioning

confidence: 99%

The Drivers-Pressures-State-Impact-Response Model to Structure Cause−Effect Relationships between Agriculture and Aquatic Ecosystems

et al. 2021

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Different segments of society have shown interest in understanding the effects of human activities on ecosystems. To this end, the aim of this article is to analyze the scientific literature on the application of the Drivers-Pressures-State-Impact-Response (DPSIR) conceptual model to identify the parameters used to describe the causal interactions that occur between agriculture and aquatic ecosystems at the watershed scale. In this way, descriptive indicators were established for the data of 63 publications collected through Scopus, Web of Science, and Science Direct. The results confirm the great heterogeneity in the interpretation of the pressure, state, and impacts components. Part of this discrepancy can be attributed to the use of different indicators, as the model is flexible and generic. Overall, the DPSIR is a tool used not only in the scientific field, but also has demonstrated its potential to guide public policy formulation, planning, and decision-making in water resource management.

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Section: Of 17mentioning

confidence: 99%

The Drivers-Pressures-State-Impact-Response Model to Structure Cause−Effect Relationships between Agriculture and Aquatic Ecosystems

et al. 2021

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“…This framework has been applied in sustainable energy planning [34], in a nexus approach involving food production, energy use, and land use [35], and in determining sustainable water use in a watershed [36]. Regarding the development process, the form and scope of application MCDA approaches are divided into four categories: (1) the value system approach, (2) the outranking relations approach, (3) the disaggregation-aggregation approach, and (4) the multi-objective optimization approach [37]. The structure of a decision problem (e.g., the knowledge that the decision-maker seeks to attain from the analysis and how this knowledge can be translated into a preference structure) determines the most suitable MCDA approach [38].…”

Section: Introductionmentioning

confidence: 99%

Unraveling the Water-Energy-Food-Environment Nexus for Climate Change Adaptation in Iran: Urmia Lake Basin Case-Study

Nasrollahi

Shirazizadeh

Shirmohammadi

et al. 2021

Water

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A holistic approach to the management of water, energy, food, and the environment is required to both meet the socioeconomic demands of the future as well as sustainable development of these limited resources. The Urmia Lake Basin has faced environmental, social, and economic challenges in recent years, and this situation is likely to worsen under the impacts of climate change. For this study, an adaptability analysis of this region is proposed for the 2040 horizon year. Two models, the water evaluation and planning (WEAP (Stockholm Environmental Institute, Stockholm, Sweden)) and the low emissions analysis platform (LEAP (Stockholm Environmental Institute, Boston, MA, USA)), are integrated to simulate changes in water, energy, food, and the environment over these 20 years. Two climate scenarios and nine policy scenarios are combined to assess sustainable development using a multi-criteria decision analysis (MCDA) approach. Results show that, through pursuing challenging goals in agricultural, potable water, energy, and industrial sectors, sustainable development will be achieved. In this scenario, the Lake Urmia water level will reach its ecological water level in 2040. However, social, technical, and political challenges are considered obstacles to implementing the goals of this scenario. In addition, industry growth and industry structure adjustment have the most impact on sustainable development achievement.

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“…By combining spatial geographic data and its weighted, it is converted into a decision map [18]. It has a wide range of applications, mainly in environmental studies, land suitability assessment and epidemiological risk area assessment [19][20][21]. In health geography, this approach can re ect the complexity of spatial risk factors that affect the disease occurrence and consider multiple criteria for better understanding of disease characteristics [18].…”

Section: Introductionmentioning

confidence: 99%

Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis

Wang

Jian-hua

Ouyang

et al. 2021

Preprint

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Background Foot-and-mouth disease (FMD) is a highly contagious viral disease of cloven-hoofed animals. As a transboundary animal disease, the prevention and control of FMD are important. This study was based on spatial multi-criteria decision analysis (MCDA) to assess FMD risk areas in mainland China. Ten risk factors were identified for constructing risk maps by scoring, and the analytic hierarchy process (AHP) was used to calculate the criteria weights of all factors. Different risk factors had different units and attributes, and fuzzy membership was used to standardize the risk factors. The weighted linear combination (WLC) and one-at-a-time (OAT) were used to obtain risk and uncertainty maps as well as to perform sensitivity analysis. Results Four major risk areas were identified in mainland China, including western (Xinjiang and Tibet), southern (Yunnan, Guizhou, Guangxi and Guangdong), northern (Gansu, Ningxia and Inner Mongolia), and eastern (Hebei, Henan, Anhui, Jiangsu and Shandong). We found spring as the main season for FMD outbreaks. Risk areas were associated with the distance to previous outbreak points, grazing areas and cattle density. Receiver operating characteristic (ROC) analysis indicated that the risk map had good predictive power (AUC = 0.8532). Conclusions These results can be used to delineate FMD risk areas in mainland China, and provinces can adopt the targeted preventive measures and control strategies.

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MCDA approach for agricultural water management in the context of water–energy–land–food nexus

Cited by 23 publications

References 60 publications

The Drivers-Pressures-State-Impact-Response Model to Structure Cause−Effect Relationships between Agriculture and Aquatic Ecosystems

The Drivers-Pressures-State-Impact-Response Model to Structure Cause−Effect Relationships between Agriculture and Aquatic Ecosystems

Unraveling the Water-Energy-Food-Environment Nexus for Climate Change Adaptation in Iran: Urmia Lake Basin Case-Study

Assessment of foot-and-mouth disease risk areas in mainland China based spatial multi-criteria decision analysis

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