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Open accessJournal ArticleDOI: 10.3390/HYDROLOGY8010040

Development of a Decision Support System for Sustainable Environmental Management and Stakeholder Engagement

04 Mar 2021-Hydrology (Multidisciplinary Digital Publishing Institute)-Vol. 8, Iss: 1, pp 40
Abstract: Undertaking integrated and sustainable water resources management (ISWRM) and providing socially acceptable solutions with scientifically solid bases is a dynamic and challenging process. Two basic pillars–umbrellas can be identified in the literature: stakeholder engagement and analysis; and integrated monitoring–modelling in the form of a decision support system (DSS) that can assess, evaluate and rank the management options. This study presents a framework that can be used as a good-practice example of successful stakeholder engagement (public engagement and collaboration with local communities towards shared visions) and an integrated DSS for ISWRM (including characterisation at catchment and local scales, programmes of measures and their evaluation): the Framework for Integrated Land and Landscape Management (FILLM), developed by an Irish multi-disciplinary and multi-stakeholder platform, the Water Forum. The fundamental theoretical principles and practical aspects of the FILLM are analysed. A step-by-step guide is proposed for its application, bridging the above pillars, using examples, reviewing methods and software, and analysing challenges and trends. It can help both socio-economic and environmental scientists (modellers) understand each other’s roles and find reviews of useful tools and methods for their work. This work can be a reference point for future ISWRM and environment management and can contribute to holistic education on such topics.

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Topics: Stakeholder engagement (63%), Decision support system (55%), Public engagement (54%) ... show more

7 results found

Open accessJournal ArticleDOI: 10.3390/SU13094677
01 Jan 2021-Sustainability
Abstract: Both the academic literature and global organizations have emphasized the need for responsible water consumption, as stated in Sustainable Development Goal 12. However, individuals’ water-saving behaviors in their current state are not enough. This situation entails a resistance to change (RC) in consumer habits and a lack of perceived risk of scarcity. The novelty of this study lies in examining the influence of RC (through its emotional, cognitive, and confidence components) and perceived risk on water-saving intention. Interviews (n = 384) were conducted in the southeast Mediterranean area of Spain by interviewers using a paper-and-pencil questionnaire. The results of the structural equation modeling show that the perceived risk and the components of cognitive rigidity and negative emotions exert a direct influence on water-saving habits and an indirect influence on water-saving intention. None of the components of RC directly influence intention, and a lack of confidence in the outcomes of water saving does not influence water-saving habits or water-saving intention. In addition to the results obtained, the novelty of the work lies in the idea that in order to influence the perception of the risk of water scarcity through awareness campaigns, it is better to use an emotional message rather than showing facts or information because this does not drive water-saving behavior.

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Topics: Risk perception (53%), Novelty (51%)

2 Citations

Open accessJournal ArticleDOI: 10.1016/J.ENVSOFT.2021.105141
Daniel E. Kaufman1, Daniel E. Kaufman2, Gary W. Shenk3, Gary W. Shenk2  +15 moreInstitutions (10)
Abstract: Extensive efforts to adaptively manage nutrient pollution rely on Chesapeake Bay Program's (Phase 6) Watershed Model, called Chesapeake Assessment Scenario Tool (CAST), which helps decision-makers plan and track implementation of Best Management Practices (BMPs). We describe mathematical characteristics of CAST and develop a constrained nonlinear BMP-subset model, software, and visualization framework. This represents the first publicly available optimization framework for exploring least-cost strategies of pollutant load control for the United States' largest estuary. The optimization identifies implementation options for a BMP subset modeled with load reduction effectiveness factors, and the web interface facilitates interactive exploration of >30,000 solutions organized by objective, nutrient control level, and for ~200 counties. We assess framework performance and demonstrate modeled cost improvements when comparing optimization-suggested proposals with proposals inspired by jurisdiction plans. Stakeholder feedback highlights the framework's current utility for investigating cost-effective tradeoffs and its usefulness as a foundation for future analysis of restoration strategies.

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Topics: Watershed management (51%)

1 Citations

Open accessJournal ArticleDOI: 10.3390/W13101338
11 May 2021-Water
Abstract: [Background] The key to integrated watershed management is to take simultaneous account of environmental, economic, and social development goals; hence, a multi-objective decision making approach is required. However, our understanding and application of multi-objective decision making in watershed management remains limited. [Objective] The objective of this study was to develop a multi-objective decision making system (MDMS) that could simultaneously handle multiple problems and objectives in a small watershed based on the relationships among land, water and economy. [Methods] The MDMS was coupled with the watershed hydrological model and economic benefit evaluation model to comprehensively simulate the watershed operational process, and established a multi-objective function to minimize sediment, nitrogen, and phosphorus outputs, while maximizing the economic benefits for integrated watershed management. The MDMS also utilized an improved meta-heuristic algorithm to optimize the agricultural land use structure of the small watershed to obtain the best integrated management plan at the small watershed scale. [Results] We found that the MDMS achieved seamless connections between automatic updating, analysis, and the optimization of land use structures in the iterative process, and successfully obtained an optimal scheme from a large number of agricultural land use structure alternatives, with particularly high time efficiencies. [Conclusions] Overall, the MDMS effectively controlled the negative impacts of crop planting on the environment, and simultaneously considered the economic benefits, which might assist managers in arriving at efficient scientific decisions toward the integrated management of small agricultural watersheds.

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Topics: Watershed management (63%), Watershed (52%)

Open accessJournal ArticleDOI: 10.1061/(ASCE)HE.1943-5584.0002146
Abstract: The objective of the study was to identify areas subject to the implementation of payment for hydrological environmental services projects, aiming to provide solutions for planners and deci...

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77 results found

Open accessBookDOI: 10.1007/B100605
Abstract: In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications. Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date. Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the “pre-theoretical” assumptions of MCDA. Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences. Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods. Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis. Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO). Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis. Finally, Part VIII, on MCDM software, presents well known MCDA software packages.

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3,867 Citations

Journal ArticleDOI: 10.1016/J.RSER.2003.12.007
S.D. Pohekar1, Muthu Ramachandran1Institutions (1)
Abstract: Multi-Criteria Decision Making (MCDM) techniques are gaining popularity in sustainable energy management. The techniques provide solutions to the problems involving conflicting and multiple objectives. Several methods based on weighted averages, priority setting, outranking, fuzzy principles and their combinations are employed for energy planning decisions. A review of more than 90 published papers is presented here to analyze the applicability of various methods discussed. A classification on application areas and the year of application is presented to highlight the trends. It is observed that Analytical Hierarchy Process is the most popular technique followed by outranking techniques PROMETHEE and ELECTRE. Validation of results with multiple methods, development of interactive decision support systems and application of fuzzy methods to tackle uncertainties in the data is observed in the published literature.

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Topics: ELECTRE (60%), Multiple-criteria decision analysis (59%), Decision support system (57%) ... show more

1,556 Citations

Open accessJournal ArticleDOI: 10.1191/1464993403PS060OA
Abstract: The world' s climate is changing and will continue to change into the coming century at rates projected to be unprecedented in recent human history. The risks associated with these changes are real but highly uncertain. Societal vulnerability to the risks associated with climate change may exacerbate ongoing social and economic challenges, particularly for those parts of societies dependent on resources that are sensitive to changes in climate. Risks are apparent in agriculture, fisheries and many other components that constitute the livelihood of rural populations in developing countries. In this paper we explore the nature of risk and vulnerabil- ity in the context of climate change and review the evidence on present-day adaptation in developing countries and on coordinated international action on future adaptation. We argue that all societies are fundamentally adaptive and there are many situations in the past where societies have adapted to changes in climate and to similar risks. But some sectors are more sensitive and some groups in society more vulnerable to the risks posed by climate change than others. Yet all societies need to enhance their adaptive capacity to face both present and future climate change outside their experienced coping range. The challenges of climate change for development are in the present. Observed climate change, present-day climate variability and future expectations of change are changing the course of development strategies - development agencies and governments are now planning for this adaptation challenge. The primary challenge, therefore, posed at both the scale of local natural resource management and at the scale of international agreements and actions, is to promote adaptive capacity in the context of competing sustainable development objectives.

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Topics: Political economy of climate change (68%), Climate change (56%), Adaptive capacity (55%) ... show more

1,553 Citations

Journal ArticleDOI: 10.1037/H0048495
Topics: Medical cybernetics (70%), Adaptive reasoning (59%), Cybernetics (57%) ... show more

1,085 Citations

Open accessJournal ArticleDOI: 10.1093/HEAPOL/15.3.338
Abstract: This paper provides guidance on how to do a stakeholder analysis, whether the aim is to conduct a policy analysis, predict policy development, implement a specific policy or project, or obtain an organizational advantage in one's dealings with other stakeholders. Using lessons learned from an analysis of alcohol policy development in Hungary, it outlines issues to be considered before undertaking the stakeholder analysis concerning the purpose and time dimensions of interest, the time-frame and the context in which the analysis will be conducted. It outlines advantages and disadvantages of an individual or team approach, and of the use of insiders and outsiders for the analysis. It describes how to identify and approach stakeholders and considers the use of qualitative or quantitative data collection methods for estimating stakeholder positions, levels of interest and influence around an issue. A key message is that the process of data collection and analysis needs to be iterative; the analyst needs to revise and deepen earlier levels of the analysis, as new data are obtained. Different examples of ways of analyzing, presenting and illustrating the information are provided. Stakeholder analysis is a useful tool for managing stakeholders and identifying opportunities to mobilize their support for a particular goal. However, various biases and uncertainties necessitate a cautious approach in using it and applying its results.

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Topics: Stakeholder analysis (74%), Stakeholder (61%), Policy analysis (56%) ... show more

705 Citations

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